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href="https://www.academia.edu/118338531/Elemental_Composition_and_Functional_Groups_in_Soil_Labile_Organic_Matter_Fractions"><img alt="Research paper thumbnail of Elemental Composition and Functional Groups in Soil Labile Organic Matter Fractions" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/118338531/Elemental_Composition_and_Functional_Groups_in_Soil_Labile_Organic_Matter_Fractions">Elemental Composition and Functional Groups in Soil Labile Organic Matter Fractions</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span 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href="https://www.academia.edu/118338530/Effect_of_land_use_practice_on_soil_moisture_variability_for_soils_covered_with_dense_forest_vegetation_of_Puerto_Rico"><img alt="Research paper thumbnail of Effect of land-use practice on soil moisture variability for soils covered with dense forest vegetation of Puerto Rico" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/118338530/Effect_of_land_use_practice_on_soil_moisture_variability_for_soils_covered_with_dense_forest_vegetation_of_Puerto_Rico">Effect of land-use practice on soil moisture variability for soils covered with dense forest vegetation of Puerto Rico</a></div><div class="wp-workCard_item"><span>NASA University Research Centers Technical Advances in Aeronautics, Space Sciences and Technology, Earth Systems Sciences, Global Hydrology, and Education</span><span>, Feb 28, 1998</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338530"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338530"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338530; window.Academia.workViewCountsFetcher.queue(workId, function (count) { 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data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/118338529/_title_Assessment_of_spatial_and_temporal_soil_moisture_variability_using_Geographic_Information_System_techniques_title_"><img alt="Research paper thumbnail of <title>Assessment of spatial and temporal soil moisture variability using Geographic Information System techniques</title>" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/118338529/_title_Assessment_of_spatial_and_temporal_soil_moisture_variability_using_Geographic_Information_System_techniques_title_"><title>Assessment of spatial and temporal soil moisture variability using Geographic Information System techniques</title></a></div><div class="wp-workCard_item"><span>Proceedings of SPIE</span><span>, Dec 30, 1997</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The objectives of this study were (1) to evaluate soil moisture variability under differ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT The objectives of this study were (1) to evaluate soil moisture variability under different land cover conditions and (2) to explore the effectiveness of geographic information system (GIS) technology in assessing the spatial and temporal soil moisture variability. The research was conducted on four 60 by 50 meter plots located on bare smooth soil, bare rough soil, mixed vegetation, and grass. From each plot, 5 cm depth soil samples were taken on a 10 by 10 meter grid at three different dates. Soil samples were oven dried to obtain the gravimetric soil moisture content. This study showed that GIS technology can be a valuable tool in accurately representing and examining the spatial and temporal variability of soil moisture under different soil cover conditions. Visual inspection of the 3-dimensional (3-D) representation of the soil moisture data showed notable variations within each plot among the different fields, and over time. Mean comparison was performed using the T-test to statistically evaluate and confirm the significance of these differences. Because the soil moisture measurements were taken on a relatively small area and within short time periods, although notably different, the spatial and temporal moisture variability was not statistically significant.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338529"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338529"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338529; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338529]").text(description); $(".js-view-count[data-work-id=118338529]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338529; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338529']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=118338529]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338529,"title":"\u003ctitle\u003eAssessment of spatial and temporal soil moisture variability using Geographic Information System techniques\u003c/title\u003e","translated_title":"","metadata":{"abstract":"ABSTRACT The objectives of this study were (1) to evaluate soil moisture variability under different land cover conditions and (2) to explore the effectiveness of geographic information system (GIS) technology in assessing the spatial and temporal soil moisture variability. The research was conducted on four 60 by 50 meter plots located on bare smooth soil, bare rough soil, mixed vegetation, and grass. From each plot, 5 cm depth soil samples were taken on a 10 by 10 meter grid at three different dates. Soil samples were oven dried to obtain the gravimetric soil moisture content. This study showed that GIS technology can be a valuable tool in accurately representing and examining the spatial and temporal variability of soil moisture under different soil cover conditions. Visual inspection of the 3-dimensional (3-D) representation of the soil moisture data showed notable variations within each plot among the different fields, and over time. Mean comparison was performed using the T-test to statistically evaluate and confirm the significance of these differences. 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This study showed that GIS technology can be a valuable tool in accurately representing and examining the spatial and temporal variability of soil moisture under different soil cover conditions. Visual inspection of the 3-dimensional (3-D) representation of the soil moisture data showed notable variations within each plot among the different fields, and over time. Mean comparison was performed using the T-test to statistically evaluate and confirm the significance of these differences. Because the soil moisture measurements were taken on a relatively small area and within short time periods, although notably different, the spatial and temporal moisture variability was not statistically significant.","internal_url":"https://www.academia.edu/118338529/_title_Assessment_of_spatial_and_temporal_soil_moisture_variability_using_Geographic_Information_System_techniques_title_","translated_internal_url":"","created_at":"2024-04-30T09:43:31.818-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"_title_Assessment_of_spatial_and_temporal_soil_moisture_variability_using_Geographic_Information_System_techniques_title_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"ABSTRACT The objectives of this study were (1) to evaluate soil moisture variability under different land cover conditions and (2) to explore the effectiveness of geographic information system (GIS) technology in assessing the spatial and temporal soil moisture variability. The research was conducted on four 60 by 50 meter plots located on bare smooth soil, bare rough soil, mixed vegetation, and grass. From each plot, 5 cm depth soil samples were taken on a 10 by 10 meter grid at three different dates. Soil samples were oven dried to obtain the gravimetric soil moisture content. This study showed that GIS technology can be a valuable tool in accurately representing and examining the spatial and temporal variability of soil moisture under different soil cover conditions. Visual inspection of the 3-dimensional (3-D) representation of the soil moisture data showed notable variations within each plot among the different fields, and over time. Mean comparison was performed using the T-test to statistically evaluate and confirm the significance of these differences. 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However, using fire as a control mechanism in this forest may alter soil nutrient cycling, soil organic matter (SOM), and soil microbial populations. There is the need for continuous research on forest ecosystems to bridge knowledge gaps in our understanding of SOM transformations and microbial processes in a repeatedly burned forest ecosystems. The objectives of this study were to assess and document the impact of prescribed burning and thinning on soil labile organic matter fractions, microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN), potential carbon mineralized (PCM), enzymatic activity, and energy (ATP) potentials. Labile organic carbon was isolated using the density method, whereas enzyme activities were determined as described in Bottomley et al. (Methods of soil analysis: part 2-Microbiological and biochemical properties, Madison, Wisconsin, USA: Soil Science Society of America, 1994). Microbial biomass C and N (MBC and MBN) were determined using the fumigation-incubation method. Treatment applications had some effects on MBC and MBN although these effects were not statistically significant (P ≤ 0.05). Light fraction carbon (LFC) and light fraction nitrogen (LFN) were significantly (P ≤ 0.05) affected by treatments. Irrespective of treatment, xylanase activity was the highest (3244 AE 327-5223 AE 567 lmol/g 24 h À1 ), whereas amylase activity was the lowest (12.57 AE 8.9-116 AE 42.8 lmol/g 24 h À1 ). Correlation analysis revealed that amylase, b-glucosidase, and NAGase correlated with particulate organic carbon (POC), particulate organic nitrogen (PON), and LFC, whereas cellulase, xylanase, and invertase had no correlation with the labile organic matter fractions. Compared to the referenced treatment plot, burned and thinned plots had reduced MBC, MBN, and increased PCM although this was not statistically significant. Although enzyme activities within plots were significant, no significant enzyme activities between plots were observed except with amylase. The lack of statistical significance on microbial activities, MBC, and MBN support our hypothesis that prescribed burning and thinning temporarily affected microbial indices, and these parameters are expected to return to pretreatment levels after a period of time.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6fae0cc2b93ace282c3c2a625e5bd571" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989140,"asset_id":118338528,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989140/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338528"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338528"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338528; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338528]").text(description); $(".js-view-count[data-work-id=118338528]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338528; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338528']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6fae0cc2b93ace282c3c2a625e5bd571" } } $('.js-work-strip[data-work-id=118338528]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338528,"title":"Microbial and organic matter patterns in a prescribed burned and thinned managed forest ecosystem","translated_title":"","metadata":{"publisher":"Wiley-Blackwell","ai_title_tag":"Impact of Fire on Soil Microbial Dynamics","grobid_abstract":"Prescribed burning and thinning were implemented in an Alabama forest (Bankhead National Forest) as a management strategy to control pest and disease outbreaks and also to increase forest productivity. However, using fire as a control mechanism in this forest may alter soil nutrient cycling, soil organic matter (SOM), and soil microbial populations. There is the need for continuous research on forest ecosystems to bridge knowledge gaps in our understanding of SOM transformations and microbial processes in a repeatedly burned forest ecosystems. The objectives of this study were to assess and document the impact of prescribed burning and thinning on soil labile organic matter fractions, microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN), potential carbon mineralized (PCM), enzymatic activity, and energy (ATP) potentials. Labile organic carbon was isolated using the density method, whereas enzyme activities were determined as described in Bottomley et al. (Methods of soil analysis: part 2-Microbiological and biochemical properties, Madison, Wisconsin, USA: Soil Science Society of America, 1994). 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Although enzyme activities within plots were significant, no significant enzyme activities between plots were observed except with amylase. The lack of statistical significance on microbial activities, MBC, and MBN support our hypothesis that prescribed burning and thinning temporarily affected microbial indices, and these parameters are expected to return to pretreatment levels after a period of time.","publication_date":{"day":1,"month":12,"year":2017,"errors":{}},"publication_name":"Ecosphere","grobid_abstract_attachment_id":113989140},"translated_abstract":null,"internal_url":"https://www.academia.edu/118338528/Microbial_and_organic_matter_patterns_in_a_prescribed_burned_and_thinned_managed_forest_ecosystem","translated_internal_url":"","created_at":"2024-04-30T09:43:31.623-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113989140,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989140/thumbnails/1.jpg","file_name":"ecs2.pdf","download_url":"https://www.academia.edu/attachments/113989140/download_file","bulk_download_file_name":"Microbial_and_organic_matter_patterns_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989140/ecs2-libre.pdf?1714495854=\u0026response-content-disposition=attachment%3B+filename%3DMicrobial_and_organic_matter_patterns_in.pdf\u0026Expires=1741872619\u0026Signature=I6mvxUBDo9MvU~Bak1vBgBSmAPct3gBYEh9o8wjodIvbnkUTfMCzLMbnjavbyBzJFWig~0v5fQyzvkNUrqZDPJpXMbpvg48N~1ZJiUO8tSWp9dxUvA9DZHw5C-nSuHbxUKDuV-UdrJBssIia72BdXJOG-SK00TLeA4SOhChIduYrxSzavCwJJrDXah31vW1KSSDcCw2FXA0c~~apv3JSJmyJHHbAWKIFiZO1Wotn8hlA9q86rn~65I6lsrIHAmzENEMj6fO4pk8slsSjRF-cufDZLvesGwRVSV80l3Df6GM4ZFEzyCqKnInYVHvjvdJaIzopbPv1C-rm8Ksq0Cldkg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Microbial_and_organic_matter_patterns_in_a_prescribed_burned_and_thinned_managed_forest_ecosystem","translated_slug":"","page_count":15,"language":"en","content_type":"Work","summary":"Prescribed burning and thinning were implemented in an Alabama forest (Bankhead National Forest) as a management strategy to control pest and disease outbreaks and also to increase forest productivity. However, using fire as a control mechanism in this forest may alter soil nutrient cycling, soil organic matter (SOM), and soil microbial populations. There is the need for continuous research on forest ecosystems to bridge knowledge gaps in our understanding of SOM transformations and microbial processes in a repeatedly burned forest ecosystems. The objectives of this study were to assess and document the impact of prescribed burning and thinning on soil labile organic matter fractions, microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN), potential carbon mineralized (PCM), enzymatic activity, and energy (ATP) potentials. Labile organic carbon was isolated using the density method, whereas enzyme activities were determined as described in Bottomley et al. (Methods of soil analysis: part 2-Microbiological and biochemical properties, Madison, Wisconsin, USA: Soil Science Society of America, 1994). Microbial biomass C and N (MBC and MBN) were determined using the fumigation-incubation method. Treatment applications had some effects on MBC and MBN although these effects were not statistically significant (P ≤ 0.05). Light fraction carbon (LFC) and light fraction nitrogen (LFN) were significantly (P ≤ 0.05) affected by treatments. Irrespective of treatment, xylanase activity was the highest (3244 AE 327-5223 AE 567 lmol/g 24 h À1 ), whereas amylase activity was the lowest (12.57 AE 8.9-116 AE 42.8 lmol/g 24 h À1 ). Correlation analysis revealed that amylase, b-glucosidase, and NAGase correlated with particulate organic carbon (POC), particulate organic nitrogen (PON), and LFC, whereas cellulase, xylanase, and invertase had no correlation with the labile organic matter fractions. Compared to the referenced treatment plot, burned and thinned plots had reduced MBC, MBN, and increased PCM although this was not statistically significant. Although enzyme activities within plots were significant, no significant enzyme activities between plots were observed except with amylase. The lack of statistical significance on microbial activities, MBC, and MBN support our hypothesis that prescribed burning and thinning temporarily affected microbial indices, and these parameters are expected to return to pretreatment levels after a period of time.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":113989140,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989140/thumbnails/1.jpg","file_name":"ecs2.pdf","download_url":"https://www.academia.edu/attachments/113989140/download_file","bulk_download_file_name":"Microbial_and_organic_matter_patterns_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989140/ecs2-libre.pdf?1714495854=\u0026response-content-disposition=attachment%3B+filename%3DMicrobial_and_organic_matter_patterns_in.pdf\u0026Expires=1741872619\u0026Signature=I6mvxUBDo9MvU~Bak1vBgBSmAPct3gBYEh9o8wjodIvbnkUTfMCzLMbnjavbyBzJFWig~0v5fQyzvkNUrqZDPJpXMbpvg48N~1ZJiUO8tSWp9dxUvA9DZHw5C-nSuHbxUKDuV-UdrJBssIia72BdXJOG-SK00TLeA4SOhChIduYrxSzavCwJJrDXah31vW1KSSDcCw2FXA0c~~apv3JSJmyJHHbAWKIFiZO1Wotn8hlA9q86rn~65I6lsrIHAmzENEMj6fO4pk8slsSjRF-cufDZLvesGwRVSV80l3Df6GM4ZFEzyCqKnInYVHvjvdJaIzopbPv1C-rm8Ksq0Cldkg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":113989141,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989141/thumbnails/1.jpg","file_name":"ecs2.pdf","download_url":"https://www.academia.edu/attachments/113989141/download_file","bulk_download_file_name":"Microbial_and_organic_matter_patterns_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989141/ecs2-libre.pdf?1714495849=\u0026response-content-disposition=attachment%3B+filename%3DMicrobial_and_organic_matter_patterns_in.pdf\u0026Expires=1741872619\u0026Signature=TW--rSx5QJd7ax1Ukcc9aOi~spFQKV7VzTt1ZeqPnIODO1b68d4M1dOXAzJvQxokq-8NQBsByCpxQHH4IUc18d6lPiGxe1szOyBnk~RUuH2V6z3CX3-5pgyJA8cPdr1KV9iDDpNlOlG69u9VPO1D3NInIgNXqfFhZgGGrZJSWChBEvV5xU6VAySLRB~0IX9Ey~hvYjXWYkO5tqI3ENtBCQmYwudFXoR3Ier5itZz1~OhEnXs2FG8JNd4j-CjeR7oUn0txQik8AHKztDoYzJX2-B0VBKAdJ5i6UdTOtSSBz43T5IxO6QRhbW1MiuaQ-RZGUamPdUF1qMx6TfIoZ0y9A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":173,"name":"Zoology","url":"https://www.academia.edu/Documents/in/Zoology"},{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":1037,"name":"Agronomy","url":"https://www.academia.edu/Documents/in/Agronomy"},{"id":2312,"name":"Ecosystem Services","url":"https://www.academia.edu/Documents/in/Ecosystem_Services"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":96525,"name":"Thinning","url":"https://www.academia.edu/Documents/in/Thinning"},{"id":173028,"name":"Soil organic matter","url":"https://www.academia.edu/Documents/in/Soil_organic_matter"},{"id":194454,"name":"Soil Carbon","url":"https://www.academia.edu/Documents/in/Soil_Carbon"},{"id":373754,"name":"Ecosystem","url":"https://www.academia.edu/Documents/in/Ecosystem"},{"id":843856,"name":"Ecological Applications","url":"https://www.academia.edu/Documents/in/Ecological_Applications"},{"id":970387,"name":"Organic Matter","url":"https://www.academia.edu/Documents/in/Organic_Matter"},{"id":2110527,"name":"Ecosphere","url":"https://www.academia.edu/Documents/in/Ecosphere"},{"id":4009956,"name":"nutrient cycle","url":"https://www.academia.edu/Documents/in/nutrient_cycle"}],"urls":[{"id":41532231,"url":"https://esajournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecs2.1962"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338527"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/118338527/Symbiotic_soybean_in_acidified_soil"><img alt="Research paper thumbnail of Symbiotic soybean in acidified soil" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/118338527/Symbiotic_soybean_in_acidified_soil">Symbiotic soybean in acidified soil</a></div><div class="wp-workCard_item"><span>Springer eBooks</span><span>, 1991</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Field experiments were conducted to examine the effects of acidic soil on the soybean (Glycine ma...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Field experiments were conducted to examine the effects of acidic soil on the soybean (Glycine max (L.) Merr.)/Bradyrhizobium japonicum symbiosis. Essex and Fayette soybean cultivars were grown in Lowell soil acidified with Al2(SO4)lin3 (Al-soil) or elemental S (S-soil). Plants were inoculated with commercial or locally isolated B. japonicum, supplied with inorganic N, or grown without supplemental N. Acidifying the soil significantly (P ⩽ 0.05) decreased shoot dry weights and nodulation of inoculated plants, whereas shoot dry weights of N-fertilized plants were not significantly affected. Extracts of Al-soil contained more Al than those of S-soil, whereas extracts of S-soil contained more Mn and P. There were no significant differences in shoot weight, nodule dry weight, or nodule number between treatments in Al-soil and S-soil at similar pH (i.e., pH 4.8 or 5.2). It was concluded that acidified soil affected the symbiosis more than the plant. These effects may have been due to H-ion toxicity as opposed to Al or Mn toxicity or P deficiency.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338527"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338527"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338527; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338527]").text(description); $(".js-view-count[data-work-id=118338527]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338527; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338527']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=118338527]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338527,"title":"Symbiotic soybean in acidified soil","translated_title":"","metadata":{"abstract":"Field experiments were conducted to examine the effects of acidic soil on the soybean (Glycine max (L.) Merr.)/Bradyrhizobium japonicum symbiosis. Essex and Fayette soybean cultivars were grown in Lowell soil acidified with Al2(SO4)lin3 (Al-soil) or elemental S (S-soil). Plants were inoculated with commercial or locally isolated B. japonicum, supplied with inorganic N, or grown without supplemental N. Acidifying the soil significantly (P ⩽ 0.05) decreased shoot dry weights and nodulation of inoculated plants, whereas shoot dry weights of N-fertilized plants were not significantly affected. Extracts of Al-soil contained more Al than those of S-soil, whereas extracts of S-soil contained more Mn and P. There were no significant differences in shoot weight, nodule dry weight, or nodule number between treatments in Al-soil and S-soil at similar pH (i.e., pH 4.8 or 5.2). It was concluded that acidified soil affected the symbiosis more than the plant. These effects may have been due to H-ion toxicity as opposed to Al or Mn toxicity or P deficiency.","publisher":"Springer Nature","publication_date":{"day":null,"month":null,"year":1991,"errors":{}},"publication_name":"Springer eBooks"},"translated_abstract":"Field experiments were conducted to examine the effects of acidic soil on the soybean (Glycine max (L.) Merr.)/Bradyrhizobium japonicum symbiosis. Essex and Fayette soybean cultivars were grown in Lowell soil acidified with Al2(SO4)lin3 (Al-soil) or elemental S (S-soil). Plants were inoculated with commercial or locally isolated B. japonicum, supplied with inorganic N, or grown without supplemental N. Acidifying the soil significantly (P ⩽ 0.05) decreased shoot dry weights and nodulation of inoculated plants, whereas shoot dry weights of N-fertilized plants were not significantly affected. Extracts of Al-soil contained more Al than those of S-soil, whereas extracts of S-soil contained more Mn and P. There were no significant differences in shoot weight, nodule dry weight, or nodule number between treatments in Al-soil and S-soil at similar pH (i.e., pH 4.8 or 5.2). It was concluded that acidified soil affected the symbiosis more than the plant. These effects may have been due to H-ion toxicity as opposed to Al or Mn toxicity or P deficiency.","internal_url":"https://www.academia.edu/118338527/Symbiotic_soybean_in_acidified_soil","translated_internal_url":"","created_at":"2024-04-30T09:43:31.430-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Symbiotic_soybean_in_acidified_soil","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Field experiments were conducted to examine the effects of acidic soil on the soybean (Glycine max (L.) Merr.)/Bradyrhizobium japonicum symbiosis. Essex and Fayette soybean cultivars were grown in Lowell soil acidified with Al2(SO4)lin3 (Al-soil) or elemental S (S-soil). Plants were inoculated with commercial or locally isolated B. japonicum, supplied with inorganic N, or grown without supplemental N. Acidifying the soil significantly (P ⩽ 0.05) decreased shoot dry weights and nodulation of inoculated plants, whereas shoot dry weights of N-fertilized plants were not significantly affected. Extracts of Al-soil contained more Al than those of S-soil, whereas extracts of S-soil contained more Mn and P. There were no significant differences in shoot weight, nodule dry weight, or nodule number between treatments in Al-soil and S-soil at similar pH (i.e., pH 4.8 or 5.2). It was concluded that acidified soil affected the symbiosis more than the plant. These effects may have been due to H-ion toxicity as opposed to Al or Mn toxicity or P deficiency.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":1037,"name":"Agronomy","url":"https://www.academia.edu/Documents/in/Agronomy"},{"id":7043,"name":"Symbiosis","url":"https://www.academia.edu/Documents/in/Symbiosis"},{"id":413804,"name":"Inoculation","url":"https://www.academia.edu/Documents/in/Inoculation"},{"id":529001,"name":"Bradyrhizobium","url":"https://www.academia.edu/Documents/in/Bradyrhizobium"},{"id":2150526,"name":"Shoot","url":"https://www.academia.edu/Documents/in/Shoot"},{"id":2471742,"name":"Dry Weight","url":"https://www.academia.edu/Documents/in/Dry_Weight"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[{"id":41532230,"url":"https://doi.org/10.1007/978-94-011-3438-5_73"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338526"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338526/Validation_of_Soil_Enzyme_Activity_Assay_for_a_Biogeochemical_Cycling_Index_in_Biochar_Amended_Soils"><img alt="Research paper thumbnail of Validation of Soil Enzyme Activity Assay for a Biogeochemical Cycling Index in Biochar Amended Soils" class="work-thumbnail" src="https://attachments.academia-assets.com/113989171/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338526/Validation_of_Soil_Enzyme_Activity_Assay_for_a_Biogeochemical_Cycling_Index_in_Biochar_Amended_Soils">Validation of Soil Enzyme Activity Assay for a Biogeochemical Cycling Index in Biochar Amended Soils</a></div><div class="wp-workCard_item"><span>Advances in Enzyme Research</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Biochar offers several benefits as a soil amendment, including increased soil fertility, carbon s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Biochar offers several benefits as a soil amendment, including increased soil fertility, carbon sequestration, and water-holding capacity in nutrient-poor soils. Here, we performed a series of enzyme assays on pine biochar-amended soils, comparing multiple enzyme activities (EAs) simultaneously determined in the same soil sample vs. the sum of individual EAs involved in the C, N, S, and P cycles to provide information of the impacts of biochar on biogeochemical cycling. The combination of these four EAs has been considered an indicator of soil health due to their role in the reactions that release bioavailable nutrients in the cycling of C (β-glucosidase), N and C (β-glucosaminidase), P (acid phosphomonoesterase), and S (arylsulfatase) in soils. Comparisons of the theoretical EAs and the CNPS activity assay approaches in the biochar-modified soil revealed similar activity trends with the different concentrations of added biochar. Two years after adding biochar, study results showed the amended soils did not retain more pNP substrate than the un-amended control soils in three different pH buffers (5.5, 5.8, and 6.5) commonly used in EA reactions. Finally, we performed a third experiment to determine if the biochar previously added to the EAs interfered with the reactions' enzyme or substrate. The results indicated that greater activity was measured using the combined assay, which suggests the CNPS activity method was less affected by biochar than the individual EAs. Our findings indicate that the potential soil biochemical-health index, CNPS activity (combination of four enzymes) assay is more robust than the individual EAs and can be used as an alternative tool to monitor soil functioning.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8b005d0cfc15ca90c23acb883903537b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989171,"asset_id":118338526,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989171/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338526"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338526"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338526; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338526]").text(description); $(".js-view-count[data-work-id=118338526]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338526; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338526']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8b005d0cfc15ca90c23acb883903537b" } } $('.js-work-strip[data-work-id=118338526]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338526,"title":"Validation of Soil Enzyme Activity Assay for a Biogeochemical Cycling Index in Biochar Amended Soils","translated_title":"","metadata":{"publisher":"Scientific Research Publishing","grobid_abstract":"Biochar offers several benefits as a soil amendment, including increased soil fertility, carbon sequestration, and water-holding capacity in nutrient-poor soils. Here, we performed a series of enzyme assays on pine biochar-amended soils, comparing multiple enzyme activities (EAs) simultaneously determined in the same soil sample vs. the sum of individual EAs involved in the C, N, S, and P cycles to provide information of the impacts of biochar on biogeochemical cycling. The combination of these four EAs has been considered an indicator of soil health due to their role in the reactions that release bioavailable nutrients in the cycling of C (β-glucosidase), N and C (β-glucosaminidase), P (acid phosphomonoesterase), and S (arylsulfatase) in soils. Comparisons of the theoretical EAs and the CNPS activity assay approaches in the biochar-modified soil revealed similar activity trends with the different concentrations of added biochar. Two years after adding biochar, study results showed the amended soils did not retain more pNP substrate than the un-amended control soils in three different pH buffers (5.5, 5.8, and 6.5) commonly used in EA reactions. Finally, we performed a third experiment to determine if the biochar previously added to the EAs interfered with the reactions' enzyme or substrate. The results indicated that greater activity was measured using the combined assay, which suggests the CNPS activity method was less affected by biochar than the individual EAs. Our findings indicate that the potential soil biochemical-health index, CNPS activity (combination of four enzymes) assay is more robust than the individual EAs and can be used as an alternative tool to monitor soil functioning.","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Advances in Enzyme Research","grobid_abstract_attachment_id":113989171},"translated_abstract":null,"internal_url":"https://www.academia.edu/118338526/Validation_of_Soil_Enzyme_Activity_Assay_for_a_Biogeochemical_Cycling_Index_in_Biochar_Amended_Soils","translated_internal_url":"","created_at":"2024-04-30T09:43:31.241-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113989171,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989171/thumbnails/1.jpg","file_name":"PaperDownload.pdf","download_url":"https://www.academia.edu/attachments/113989171/download_file","bulk_download_file_name":"Validation_of_Soil_Enzyme_Activity_Assay.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989171/PaperDownload-libre.pdf?1714495857=\u0026response-content-disposition=attachment%3B+filename%3DValidation_of_Soil_Enzyme_Activity_Assay.pdf\u0026Expires=1741937400\u0026Signature=BnXvdmudwjJew048MYUGxQQEyYOzXK0bxcDklYIcx1IoWHAMX3JeONcGIKAMIxUpq3s0jn-2Ji2lLj7mx15GDcKXunSgUvVvSAU3W25FzrEf4GsOkhLJwXHs10sKASveet~mYj2r8EzyS1RbdVOY-T1r8A5vlk1e6PXyeJ8q0w7qTLoEOJv6O3T6FwADNQ~1MBPzpCiBx0qZ8KwmqtJnmrbj-rkqavotSpHYEP9W0g9-SdAoeXWdcbxUQEaQ~0Z1T8K8Tx-y3Hio7sJQXS~O8KerFO1Gb~aZS~FLCghXxlHv8GnReIt~eAPqpPpnLSBncYEjUjt7-4kOk7qfgSoTfQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Validation_of_Soil_Enzyme_Activity_Assay_for_a_Biogeochemical_Cycling_Index_in_Biochar_Amended_Soils","translated_slug":"","page_count":13,"language":"en","content_type":"Work","summary":"Biochar offers several benefits as a soil amendment, including increased soil fertility, carbon sequestration, and water-holding capacity in nutrient-poor soils. Here, we performed a series of enzyme assays on pine biochar-amended soils, comparing multiple enzyme activities (EAs) simultaneously determined in the same soil sample vs. the sum of individual EAs involved in the C, N, S, and P cycles to provide information of the impacts of biochar on biogeochemical cycling. The combination of these four EAs has been considered an indicator of soil health due to their role in the reactions that release bioavailable nutrients in the cycling of C (β-glucosidase), N and C (β-glucosaminidase), P (acid phosphomonoesterase), and S (arylsulfatase) in soils. Comparisons of the theoretical EAs and the CNPS activity assay approaches in the biochar-modified soil revealed similar activity trends with the different concentrations of added biochar. Two years after adding biochar, study results showed the amended soils did not retain more pNP substrate than the un-amended control soils in three different pH buffers (5.5, 5.8, and 6.5) commonly used in EA reactions. Finally, we performed a third experiment to determine if the biochar previously added to the EAs interfered with the reactions' enzyme or substrate. The results indicated that greater activity was measured using the combined assay, which suggests the CNPS activity method was less affected by biochar than the individual EAs. Our findings indicate that the potential soil biochemical-health index, CNPS activity (combination of four enzymes) assay is more robust than the individual EAs and can be used as an alternative tool to monitor soil functioning.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":113989171,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989171/thumbnails/1.jpg","file_name":"PaperDownload.pdf","download_url":"https://www.academia.edu/attachments/113989171/download_file","bulk_download_file_name":"Validation_of_Soil_Enzyme_Activity_Assay.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989171/PaperDownload-libre.pdf?1714495857=\u0026response-content-disposition=attachment%3B+filename%3DValidation_of_Soil_Enzyme_Activity_Assay.pdf\u0026Expires=1741937400\u0026Signature=BnXvdmudwjJew048MYUGxQQEyYOzXK0bxcDklYIcx1IoWHAMX3JeONcGIKAMIxUpq3s0jn-2Ji2lLj7mx15GDcKXunSgUvVvSAU3W25FzrEf4GsOkhLJwXHs10sKASveet~mYj2r8EzyS1RbdVOY-T1r8A5vlk1e6PXyeJ8q0w7qTLoEOJv6O3T6FwADNQ~1MBPzpCiBx0qZ8KwmqtJnmrbj-rkqavotSpHYEP9W0g9-SdAoeXWdcbxUQEaQ~0Z1T8K8Tx-y3Hio7sJQXS~O8KerFO1Gb~aZS~FLCghXxlHv8GnReIt~eAPqpPpnLSBncYEjUjt7-4kOk7qfgSoTfQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":10023,"name":"BIOCHAR","url":"https://www.academia.edu/Documents/in/BIOCHAR"},{"id":15836,"name":"Environmental Chemistry","url":"https://www.academia.edu/Documents/in/Environmental_Chemistry"},{"id":231661,"name":"Enzyme","url":"https://www.academia.edu/Documents/in/Enzyme"},{"id":993489,"name":"Amendment","url":"https://www.academia.edu/Documents/in/Amendment"},{"id":1222799,"name":"Soil Water","url":"https://www.academia.edu/Documents/in/Soil_Water"},{"id":4023440,"name":"Biogeochemical Cycle","url":"https://www.academia.edu/Documents/in/Biogeochemical_Cycle"}],"urls":[{"id":41532229,"url":"https://doi.org/10.4236/aer.2022.103004"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338525"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338525/Long_Term_Cropping_System_Tillage_and_Poultry_Litter_Application_Affect_the_Chemical_Properties_of_an_Alabama_Ultisol"><img alt="Research paper thumbnail of Long-Term Cropping System, Tillage, and Poultry Litter Application Affect the Chemical Properties of an Alabama Ultisol" class="work-thumbnail" src="https://attachments.academia-assets.com/113989169/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338525/Long_Term_Cropping_System_Tillage_and_Poultry_Litter_Application_Affect_the_Chemical_Properties_of_an_Alabama_Ultisol">Long-Term Cropping System, Tillage, and Poultry Litter Application Affect the Chemical Properties of an Alabama Ultisol</a></div><div class="wp-workCard_item"><span>Pedosphere</span><span>, Apr 1, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Sustainable agricultural practices have been steadily increasing in the last couple of decades. T...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Sustainable agricultural practices have been steadily increasing in the last couple of decades. These management practices frequently involve cover crops, less or no-tillage, and organic fertilization. In this study, we evaluated the effects of cropping systems, tillage and no-tillage, and the application of poultry litter (PL) on selected soil physicochemical properties and soil test nutrients. Soil samples were collected from the topmost surface (0-5 cm) and subsurface (5-10 cm) layers. The general effect trend was PL application > no-tillage > cover crop > cropping type. There were more statistically significant (P ≤ 0.05) correlations between the 18 soil attributes at the topmost surface than at the subsurface. This could be due to the accumulation of external C inputs and nutrients by crop residues and PL application as well as the retaining effects of no-tillage on less mobile nutrient components. Because of their high mobility and volatile nature, total nitrogen (N), ammonia-N (NH + 4-N), and nitrate-N (NO − 3-N) levels varied greatly (high standard deviations), showing no consistent patterns among the treatments. Compared to the soybean cropping system, corn, especially with the wheat cover crop, contributed more to the total carbon (C) and sulfur (S) in the topmost surface soils (0-5 cm). Poultry litter application greatly increased pH, cation exchange capacity (CEC), base saturation, magnesium (Mg), phosphorus (P), calcium (Ca), sodium (Na), potassium (K), manganese (Mn), copper (Cu), and zinc (Zn) in both soil layers. Contrast comparisons revealed that PL application had more of an effect on these soil chemical properties than no-tillage and cropping systems. These results will shed light on developing better nutrient management practices while reducing their runoff potentials.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e5ff4ebcd486f98771d68523ca715906" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989169,"asset_id":118338525,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989169/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338525"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338525"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338525; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338525]").text(description); $(".js-view-count[data-work-id=118338525]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338525; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338525']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e5ff4ebcd486f98771d68523ca715906" } } $('.js-work-strip[data-work-id=118338525]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338525,"title":"Long-Term Cropping System, Tillage, and Poultry Litter Application Affect the Chemical Properties of an Alabama Ultisol","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Sustainable agricultural practices have been steadily increasing in the last couple of decades. These management practices frequently involve cover crops, less or no-tillage, and organic fertilization. In this study, we evaluated the effects of cropping systems, tillage and no-tillage, and the application of poultry litter (PL) on selected soil physicochemical properties and soil test nutrients. Soil samples were collected from the topmost surface (0-5 cm) and subsurface (5-10 cm) layers. The general effect trend was PL application \u003e no-tillage \u003e cover crop \u003e cropping type. There were more statistically significant (P ≤ 0.05) correlations between the 18 soil attributes at the topmost surface than at the subsurface. This could be due to the accumulation of external C inputs and nutrients by crop residues and PL application as well as the retaining effects of no-tillage on less mobile nutrient components. Because of their high mobility and volatile nature, total nitrogen (N), ammonia-N (NH + 4-N), and nitrate-N (NO − 3-N) levels varied greatly (high standard deviations), showing no consistent patterns among the treatments. Compared to the soybean cropping system, corn, especially with the wheat cover crop, contributed more to the total carbon (C) and sulfur (S) in the topmost surface soils (0-5 cm). Poultry litter application greatly increased pH, cation exchange capacity (CEC), base saturation, magnesium (Mg), phosphorus (P), calcium (Ca), sodium (Na), potassium (K), manganese (Mn), copper (Cu), and zinc (Zn) in both soil layers. Contrast comparisons revealed that PL application had more of an effect on these soil chemical properties than no-tillage and cropping systems. These results will shed light on developing better nutrient management practices while reducing their runoff potentials.","publication_date":{"day":1,"month":4,"year":2019,"errors":{}},"publication_name":"Pedosphere","grobid_abstract_attachment_id":113989169},"translated_abstract":null,"internal_url":"https://www.academia.edu/118338525/Long_Term_Cropping_System_Tillage_and_Poultry_Litter_Application_Affect_the_Chemical_Properties_of_an_Alabama_Ultisol","translated_internal_url":"","created_at":"2024-04-30T09:43:31.050-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113989169,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989169/thumbnails/1.jpg","file_name":"S1002-016028192960797-620240430-1-6zqtp.pdf","download_url":"https://www.academia.edu/attachments/113989169/download_file","bulk_download_file_name":"Long_Term_Cropping_System_Tillage_and_Po.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989169/S1002-016028192960797-620240430-1-6zqtp-libre.pdf?1714495866=\u0026response-content-disposition=attachment%3B+filename%3DLong_Term_Cropping_System_Tillage_and_Po.pdf\u0026Expires=1741937401\u0026Signature=CN-DHqtMnVrgTrXv8QtTqxu-hgUGXeQMEZHfH6azOU729yOPEaELxHSJhpvMpuFsBRYKqL3G~3l2y~aL~IanjcT5jTtyFyzkavTWQy01jgU2JYeTwreS485e2Sfi3eU7myPmxu9xelmfuKAUIsc1FMjkuFjBxTQiBdWdGthFXYoXejTn-Jpa95T7amon7RIRY4SQwb7lOyAJ0lx7AfAm67tCB2b1VBVvBFynRugzeUgf6aRgAwcI799TMSmLXCx6frRYEaQdVi9KVPyWk4pnmfLDSt-rDoDTWdAJTtWEh8~aqEoHWw~Sl-JQIIgWlqcqWEbrMz1BCUbhfsc1U0F6oQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Long_Term_Cropping_System_Tillage_and_Poultry_Litter_Application_Affect_the_Chemical_Properties_of_an_Alabama_Ultisol","translated_slug":"","page_count":15,"language":"en","content_type":"Work","summary":"Sustainable agricultural practices have been steadily increasing in the last couple of decades. These management practices frequently involve cover crops, less or no-tillage, and organic fertilization. In this study, we evaluated the effects of cropping systems, tillage and no-tillage, and the application of poultry litter (PL) on selected soil physicochemical properties and soil test nutrients. Soil samples were collected from the topmost surface (0-5 cm) and subsurface (5-10 cm) layers. The general effect trend was PL application \u003e no-tillage \u003e cover crop \u003e cropping type. There were more statistically significant (P ≤ 0.05) correlations between the 18 soil attributes at the topmost surface than at the subsurface. This could be due to the accumulation of external C inputs and nutrients by crop residues and PL application as well as the retaining effects of no-tillage on less mobile nutrient components. Because of their high mobility and volatile nature, total nitrogen (N), ammonia-N (NH + 4-N), and nitrate-N (NO − 3-N) levels varied greatly (high standard deviations), showing no consistent patterns among the treatments. Compared to the soybean cropping system, corn, especially with the wheat cover crop, contributed more to the total carbon (C) and sulfur (S) in the topmost surface soils (0-5 cm). Poultry litter application greatly increased pH, cation exchange capacity (CEC), base saturation, magnesium (Mg), phosphorus (P), calcium (Ca), sodium (Na), potassium (K), manganese (Mn), copper (Cu), and zinc (Zn) in both soil layers. Contrast comparisons revealed that PL application had more of an effect on these soil chemical properties than no-tillage and cropping systems. These results will shed light on developing better nutrient management practices while reducing their runoff potentials.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":113989169,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989169/thumbnails/1.jpg","file_name":"S1002-016028192960797-620240430-1-6zqtp.pdf","download_url":"https://www.academia.edu/attachments/113989169/download_file","bulk_download_file_name":"Long_Term_Cropping_System_Tillage_and_Po.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989169/S1002-016028192960797-620240430-1-6zqtp-libre.pdf?1714495866=\u0026response-content-disposition=attachment%3B+filename%3DLong_Term_Cropping_System_Tillage_and_Po.pdf\u0026Expires=1741937401\u0026Signature=CN-DHqtMnVrgTrXv8QtTqxu-hgUGXeQMEZHfH6azOU729yOPEaELxHSJhpvMpuFsBRYKqL3G~3l2y~aL~IanjcT5jTtyFyzkavTWQy01jgU2JYeTwreS485e2Sfi3eU7myPmxu9xelmfuKAUIsc1FMjkuFjBxTQiBdWdGthFXYoXejTn-Jpa95T7amon7RIRY4SQwb7lOyAJ0lx7AfAm67tCB2b1VBVvBFynRugzeUgf6aRgAwcI799TMSmLXCx6frRYEaQdVi9KVPyWk4pnmfLDSt-rDoDTWdAJTtWEh8~aqEoHWw~Sl-JQIIgWlqcqWEbrMz1BCUbhfsc1U0F6oQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":1037,"name":"Agronomy","url":"https://www.academia.edu/Documents/in/Agronomy"},{"id":5541,"name":"Plant Biology","url":"https://www.academia.edu/Documents/in/Plant_Biology"},{"id":217324,"name":"Soil sciences","url":"https://www.academia.edu/Documents/in/Soil_sciences"},{"id":244969,"name":"Nutrient","url":"https://www.academia.edu/Documents/in/Nutrient"},{"id":525320,"name":"Tillage","url":"https://www.academia.edu/Documents/in/Tillage"},{"id":525326,"name":"Conventional tillage","url":"https://www.academia.edu/Documents/in/Conventional_tillage"},{"id":1211959,"name":"Ultisol","url":"https://www.academia.edu/Documents/in/Ultisol"},{"id":1819335,"name":"Cover Crop","url":"https://www.academia.edu/Documents/in/Cover_Crop"}],"urls":[{"id":41532228,"url":"https://doi.org/10.1016/s1002-0160(19)60797-6"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338524"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/118338524/Inhibitory_effects_of_acidic_minesoil_on_the_sericea_lespedeza_Bradyrhizobiumsymbiotic_relationship1"><img alt="Research paper thumbnail of Inhibitory effects of acidic minesoil on the sericea lespedeza/Bradyrhizobiumsymbiotic relationship1" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/118338524/Inhibitory_effects_of_acidic_minesoil_on_the_sericea_lespedeza_Bradyrhizobiumsymbiotic_relationship1">Inhibitory effects of acidic minesoil on the sericea lespedeza/Bradyrhizobiumsymbiotic relationship1</a></div><div class="wp-workCard_item"><span>Journal of Plant Nutrition</span><span>, Sep 1, 1993</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... Hartel et al. (27) concluded that acidic, Al-rich soil affected nodulation but was not a majo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... Hartel et al. (27) concluded that acidic, Al-rich soil affected nodulation but was not a major factor in the survival of cowpea Bradyrhizobium (same classification group as lespedeza Brady-rhizobium). 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These manipulations led to changes in soil biological and biochemical properties. To reduce knowledge gaps concerning land conversion in the Amazon, the study objective was to evaluate the influence of land use and management practices on the biological attributes and enzymatic activity of the soil in Tepequem, a settlement in north of the Amazon, Brazil. Tepequem was chosen for being highly representative in terms of land use and management patterns in the region. Microbial biomass carbon (MBC), soil basal respiration (SBR), metabolic quotient (qCO2) and enzymatic activity were analyzed. Land use changes resulted in alterations to soil quality. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338520"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338520/Soil_bacterial_diversities_and_response_to_deforestation_land_use_and_burning_in_North_Amazon_Brazil"><img alt="Research paper thumbnail of Soil bacterial diversities and response to deforestation, land use and burning in North Amazon, Brazil" class="work-thumbnail" src="https://attachments.academia-assets.com/113989168/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338520/Soil_bacterial_diversities_and_response_to_deforestation_land_use_and_burning_in_North_Amazon_Brazil">Soil bacterial diversities and response to deforestation, land use and burning in North Amazon, Brazil</a></div><div class="wp-workCard_item"><span>Applied Soil Ecology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The biodiversity in Amazon forest soils is continuously challenged by anthropogenic activities or...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The biodiversity in Amazon forest soils is continuously challenged by anthropogenic activities or disturbances, impacting the quantity and quality of its natural resources and a wide range of ecosystem services. Understanding microbial processes and response to various soil management practices provide valuable information to maintain sustainable ecological environments. We hypothesized that microbial assemblages (several not yet identified) and activities are continuously changing in forest ecosystems, mostly due to management selections. Therefore, our work's objective was to assess bacteria communities' changes via next-generation sequencing techniques and bridge knowledge gaps in our understanding of their responses to deforestations, intensive agriculture, and repeated forest burning activities in altered and native forest locations in the Northern Amazon Rainforest, Brazil. We evaluated soils during different climatic periods (dry and rainy) collected at selected sites for pasture, conventional agriculture, and forestry. Intensive conversion to pasture and conventional plantations seriously impacted the bacterial diversities and species richness. The forest area presented the greatest bacterial diversities and species richness, followed by the pasture areas, especially in the 0-5 cm soil layer. Conventional plantations showed the lowest diversities and species richness. There was no change in species richness between the dry and rainy periods; however, the wet period showed lesser species diversities. Based on the analyses, the bacterial communities comprised of the phyla: Acidobacteria, Firmicutes, Verrucomicrobia, Actinobacteria, Proteobacteria, Planctomycetes, and Cyanobacteria. Bacteria trends identified are being considered in future management decisions to preserve biodiversities and the region's forest ecosystems' functioning.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3af3abe8802212b0dbd0b6bb3f02cfb1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989168,"asset_id":118338520,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989168/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338520"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338520"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338520; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338520]").text(description); $(".js-view-count[data-work-id=118338520]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338520; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338520']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3af3abe8802212b0dbd0b6bb3f02cfb1" } } $('.js-work-strip[data-work-id=118338520]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338520,"title":"Soil bacterial diversities and response to deforestation, land use and burning in North Amazon, Brazil","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"The biodiversity in Amazon forest soils is continuously challenged by anthropogenic activities or disturbances, impacting the quantity and quality of its natural resources and a wide range of ecosystem services. Understanding microbial processes and response to various soil management practices provide valuable information to maintain sustainable ecological environments. We hypothesized that microbial assemblages (several not yet identified) and activities are continuously changing in forest ecosystems, mostly due to management selections. Therefore, our work's objective was to assess bacteria communities' changes via next-generation sequencing techniques and bridge knowledge gaps in our understanding of their responses to deforestations, intensive agriculture, and repeated forest burning activities in altered and native forest locations in the Northern Amazon Rainforest, Brazil. We evaluated soils during different climatic periods (dry and rainy) collected at selected sites for pasture, conventional agriculture, and forestry. Intensive conversion to pasture and conventional plantations seriously impacted the bacterial diversities and species richness. The forest area presented the greatest bacterial diversities and species richness, followed by the pasture areas, especially in the 0-5 cm soil layer. Conventional plantations showed the lowest diversities and species richness. There was no change in species richness between the dry and rainy periods; however, the wet period showed lesser species diversities. Based on the analyses, the bacterial communities comprised of the phyla: Acidobacteria, Firmicutes, Verrucomicrobia, Actinobacteria, Proteobacteria, Planctomycetes, and Cyanobacteria. 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The forest area presented the greatest bacterial diversities and species richness, followed by the pasture areas, especially in the 0-5 cm soil layer. Conventional plantations showed the lowest diversities and species richness. There was no change in species richness between the dry and rainy periods; however, the wet period showed lesser species diversities. Based on the analyses, the bacterial communities comprised of the phyla: Acidobacteria, Firmicutes, Verrucomicrobia, Actinobacteria, Proteobacteria, Planctomycetes, and Cyanobacteria. Bacteria trends identified are being considered in future management decisions to preserve biodiversities and the region's forest ecosystems' functioning.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":113989168,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989168/thumbnails/1.jpg","file_name":"j.apsoil.2020.10377520240430-1-5umzsc.pdf","download_url":"https://www.academia.edu/attachments/113989168/download_file","bulk_download_file_name":"Soil_bacterial_diversities_and_response.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989168/j.apsoil.2020.10377520240430-1-5umzsc-libre.pdf?1714495854=\u0026response-content-disposition=attachment%3B+filename%3DSoil_bacterial_diversities_and_response.pdf\u0026Expires=1741937401\u0026Signature=JGZvHss03G2j~eeTgzuh3GgTv~sDWbVXVkPjfp71BF~77gCt7rTkpHxVrKa35vjfliVYt-vrEvQ01qkQlH8m3aZ~IXaru3vwPzI4qWl-7J6YL1nsPliiG0tDE8c0wBCiiWs-m1sBQcQYUJepmVQ0-J6H7nQiBgbr3zC3Bd-Kjk6LdzWdmq5EyXr5rTWsKOk~36sCgvfhDXp0C17RBR1yv7SPl89XhIq9ekycQ37VKCDv2xkOEdHSYAv5omfO4aNN9Mm7fFRu-xdGE3VJwTJi-l6u-HouoQDD9rz150Z1Cx7madXV95v1yadQGi5Wj8LOo3lR5PA70iS4sU5EiSfi5w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":8510,"name":"Agroforestry","url":"https://www.academia.edu/Documents/in/Agroforestry"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":17825,"name":"Biodiversity","url":"https://www.academia.edu/Documents/in/Biodiversity"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":199056,"name":"Species Richness","url":"https://www.academia.edu/Documents/in/Species_Richness"},{"id":373754,"name":"Ecosystem","url":"https://www.academia.edu/Documents/in/Ecosystem"},{"id":373781,"name":"Amazon rainforest","url":"https://www.academia.edu/Documents/in/Amazon_rainforest"}],"urls":[{"id":41532224,"url":"https://api.elsevier.com/content/article/PII:S0929139320307046?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338519"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338519/Seasonal_changes_in_phosphorus_and_phosphatase_compositions_in_soils_enriched_with_poultry_litter"><img alt="Research paper thumbnail of Seasonal changes in phosphorus and phosphatase compositions in soils enriched with poultry litter" class="work-thumbnail" src="https://attachments.academia-assets.com/113989138/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338519/Seasonal_changes_in_phosphorus_and_phosphatase_compositions_in_soils_enriched_with_poultry_litter">Seasonal changes in phosphorus and phosphatase compositions in soils enriched with poultry litter</a></div><div class="wp-workCard_item"><span>Journal of Food Agriculture & Environment</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Season and soil depth may play an important role in phosphorus (P) dynamics and mineralization in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Season and soil depth may play an important role in phosphorus (P) dynamics and mineralization in soil because of changes in soil moisture, temperature and microbial activity. This study was conducted to quantify P fractions and enzymatic activity from poultry litter (PL) application as affected by soil depth and time of application. Poultry litter was applied at the rate of 15.75 Mg ha-1 yr-1 based on N requirement of bermudagrass for maximum growth. Phosphorus distribution among different fractions (Al-, Fe- and Ca-bound; organic P and residual) was extracted sequentially. Results showed that P fractions were significantly affected by season and soil depth (P&lt;0.01). Phosphorus fractions varied within season and soil depth with less P measured on the topsoil for early spring application. There was little P movement down to 10 cm depth. Enzyme activities were affected by the soil depth in the first year but no significant differences occurred in the second year. The smallest enzy...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ad63b799e588a444781f8aac8473ae7b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989138,"asset_id":118338519,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989138/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338519"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338519"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338519; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338519]").text(description); $(".js-view-count[data-work-id=118338519]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338519; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338519']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ad63b799e588a444781f8aac8473ae7b" } } $('.js-work-strip[data-work-id=118338519]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338519,"title":"Seasonal changes in phosphorus and phosphatase compositions in soils enriched with poultry litter","translated_title":"","metadata":{"abstract":"Season and soil depth may play an important role in phosphorus (P) dynamics and mineralization in soil because of changes in soil moisture, temperature and microbial activity. This study was conducted to quantify P fractions and enzymatic activity from poultry litter (PL) application as affected by soil depth and time of application. Poultry litter was applied at the rate of 15.75 Mg ha-1 yr-1 based on N requirement of bermudagrass for maximum growth. Phosphorus distribution among different fractions (Al-, Fe- and Ca-bound; organic P and residual) was extracted sequentially. Results showed that P fractions were significantly affected by season and soil depth (P\u0026lt;0.01). Phosphorus fractions varied within season and soil depth with less P measured on the topsoil for early spring application. There was little P movement down to 10 cm depth. Enzyme activities were affected by the soil depth in the first year but no significant differences occurred in the second year. The smallest enzy...","publication_date":{"day":null,"month":null,"year":2008,"errors":{}},"publication_name":"Journal of Food Agriculture \u0026 Environment"},"translated_abstract":"Season and soil depth may play an important role in phosphorus (P) dynamics and mineralization in soil because of changes in soil moisture, temperature and microbial activity. This study was conducted to quantify P fractions and enzymatic activity from poultry litter (PL) application as affected by soil depth and time of application. Poultry litter was applied at the rate of 15.75 Mg ha-1 yr-1 based on N requirement of bermudagrass for maximum growth. Phosphorus distribution among different fractions (Al-, Fe- and Ca-bound; organic P and residual) was extracted sequentially. Results showed that P fractions were significantly affected by season and soil depth (P\u0026lt;0.01). Phosphorus fractions varied within season and soil depth with less P measured on the topsoil for early spring application. There was little P movement down to 10 cm depth. Enzyme activities were affected by the soil depth in the first year but no significant differences occurred in the second year. 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This study was conducted to quantify P fractions and enzymatic activity from poultry litter (PL) application as affected by soil depth and time of application. Poultry litter was applied at the rate of 15.75 Mg ha-1 yr-1 based on N requirement of bermudagrass for maximum growth. Phosphorus distribution among different fractions (Al-, Fe- and Ca-bound; organic P and residual) was extracted sequentially. Results showed that P fractions were significantly affected by season and soil depth (P\u0026lt;0.01). Phosphorus fractions varied within season and soil depth with less P measured on the topsoil for early spring application. There was little P movement down to 10 cm depth. Enzyme activities were affected by the soil depth in the first year but no significant differences occurred in the second year. The smallest enzy...","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":113989138,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989138/thumbnails/1.jpg","file_name":"PDF.pdf","download_url":"https://www.academia.edu/attachments/113989138/download_file","bulk_download_file_name":"Seasonal_changes_in_phosphorus_and_phosp.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989138/PDF-libre.pdf?1714495850=\u0026response-content-disposition=attachment%3B+filename%3DSeasonal_changes_in_phosphorus_and_phosp.pdf\u0026Expires=1741937401\u0026Signature=RQXCTBWMmMt54o73Icy0xbxfa3Oc5bGJ0V5zoaofKaF-3mFuIQuR4PemBFG70Lml6Zfo8GTlR0eiO9f5ucC0EgPYVI9NtzbV1b6CY~ujs5xx-tPKQ~48DvWS2IrS3nMzDSN8tCQftPSBIaUMfl~tAclafUU7uDdDxUmGqLlAs6OMkQ3p5QyYHEoCgxowc0GMVQiju74-Oh73iPYvxaVlt6EAxU5gI39uykuvYY3dS~nsqvIucpezqlMbcE24qD2rKN4PwEekTHCJVa-As1tpKs1d473QzMIH5FzEHDQByPOyFo-JdJHarEg8qkHPAUfG1wnCnkh5BOgrhOIZmeffeA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":113989139,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989139/thumbnails/1.jpg","file_name":"PDF.pdf","download_url":"https://www.academia.edu/attachments/113989139/download_file","bulk_download_file_name":"Seasonal_changes_in_phosphorus_and_phosp.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989139/PDF-libre.pdf?1714495851=\u0026response-content-disposition=attachment%3B+filename%3DSeasonal_changes_in_phosphorus_and_phosp.pdf\u0026Expires=1741937401\u0026Signature=Juz1H1VPODms0Ub5VVG-ruYFRAP8UCMGTJrHLLrSJIG6MBMVIcKBPxLjfmqC~ek~2ORIWGRiiP-IvbZfuHxTm7ntnqkj7XPPkVLK6vT4oS2oxvK9~6r11zx7JIwGNPBjTVlK4ZBJouB257twhlytdwLzgbMw6kNJzphM0xd00XUMl6LoksbWiTWz~j8XIqT-kXk~31pedUZA8KVMLntGaOrEvXiq7XADh73EsbQlKg0y~oaAiaBte5evon2yP0REyTCSt-k~R12Bk7~jIa6KFN4A5iZw-MxWvd1U2ChDnBTTDdKkPMz6zTbfGPMVaGZbNP2d9DimKPSQ~zpTUEHYLg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":53108,"name":"Phosphorus","url":"https://www.academia.edu/Documents/in/Phosphorus"},{"id":188993,"name":"Litter","url":"https://www.academia.edu/Documents/in/Litter"},{"id":661329,"name":"Poultry Litter","url":"https://www.academia.edu/Documents/in/Poultry_Litter"},{"id":793816,"name":"Topsoil","url":"https://www.academia.edu/Documents/in/Topsoil"},{"id":1208706,"name":"Environment","url":"https://www.academia.edu/Documents/in/Environment"},{"id":1222799,"name":"Soil Water","url":"https://www.academia.edu/Documents/in/Soil_Water"}],"urls":[{"id":41532223,"url":"https://naldc.nal.usda.gov/download/31128/PDF"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338518"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338518/Microbial_Compositions_and_Enzymes_of_a_Forest_Ecosystem_in_Alabama_Initial_Response_to_Thinning_and_Burning_Management_Selections"><img alt="Research paper thumbnail of Microbial Compositions and Enzymes of a Forest Ecosystem in Alabama: Initial Response to Thinning and Burning Management Selections" class="work-thumbnail" src="https://attachments.academia-assets.com/113989166/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338518/Microbial_Compositions_and_Enzymes_of_a_Forest_Ecosystem_in_Alabama_Initial_Response_to_Thinning_and_Burning_Management_Selections">Microbial Compositions and Enzymes of a Forest Ecosystem in Alabama: Initial Response to Thinning and Burning Management Selections</a></div><div class="wp-workCard_item"><span>Open Journal of Forestry</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Prescribed burning and tree thinning are commonly used restoration practices for US forests manag...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Prescribed burning and tree thinning are commonly used restoration practices for US forests management to increase forest productivity and enhance plant and animal diversity. The impact of these practices in Alabama's Bankhead National Forest (BNF) to soil microbial components and overall forest soil health are unknown. We hypothesized that microbial assemblages and enzyme activities are continuously changing in forest ecosystems especially due to management selections. Therefore, the objective of this study was to assess changes in microbial community compositions (fungal vs bacterial populations) via fatty acid methyl ester (FAME) profiling and several enzyme activities (β-glucosaminidase, acid phosphatase, arylsulfatase, β-glucosidase, xylanase, laccase, and manganese peroxidase) critical to soil organic matter (SOM) dynamics and biogeochemical cycling. In this forest, heavily-thinned plots without burning or less frequent burning treatments seemed to provide more favorable conditions (higher pH and lower C:N ratios) for C and N mineralization. This may explain a slight increase (by 12%) detected in fungi:bacteria (F:B) ratio in the heavily-thinned plots relative to the control. Thinned (lightly and heavily) plots showed greater ligninolytic (laccase and MnP) activities and lower β-glucosidase and β-glucosaminidase activities compared to the no-thinned plots probably due to increase depositions of woody recalcitrant C materials. We observed significant but negative correla</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d4426f9a0b1d284e4b8cde6d81993297" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989166,"asset_id":118338518,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989166/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338518"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338518"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338518; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338518]").text(description); $(".js-view-count[data-work-id=118338518]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338518; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338518']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d4426f9a0b1d284e4b8cde6d81993297" } } $('.js-work-strip[data-work-id=118338518]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338518,"title":"Microbial Compositions and Enzymes of a Forest Ecosystem in Alabama: Initial Response to Thinning and Burning Management Selections","translated_title":"","metadata":{"publisher":"Scientific Research Publishing, Inc.","grobid_abstract":"Prescribed burning and tree thinning are commonly used restoration practices for US forests management to increase forest productivity and enhance plant and animal diversity. The impact of these practices in Alabama's Bankhead National Forest (BNF) to soil microbial components and overall forest soil health are unknown. We hypothesized that microbial assemblages and enzyme activities are continuously changing in forest ecosystems especially due to management selections. Therefore, the objective of this study was to assess changes in microbial community compositions (fungal vs bacterial populations) via fatty acid methyl ester (FAME) profiling and several enzyme activities (β-glucosaminidase, acid phosphatase, arylsulfatase, β-glucosidase, xylanase, laccase, and manganese peroxidase) critical to soil organic matter (SOM) dynamics and biogeochemical cycling. In this forest, heavily-thinned plots without burning or less frequent burning treatments seemed to provide more favorable conditions (higher pH and lower C:N ratios) for C and N mineralization. This may explain a slight increase (by 12%) detected in fungi:bacteria (F:B) ratio in the heavily-thinned plots relative to the control. Thinned (lightly and heavily) plots showed greater ligninolytic (laccase and MnP) activities and lower β-glucosidase and β-glucosaminidase activities compared to the no-thinned plots probably due to increase depositions of woody recalcitrant C materials. 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The impact of these practices in Alabama's Bankhead National Forest (BNF) to soil microbial components and overall forest soil health are unknown. We hypothesized that microbial assemblages and enzyme activities are continuously changing in forest ecosystems especially due to management selections. Therefore, the objective of this study was to assess changes in microbial community compositions (fungal vs bacterial populations) via fatty acid methyl ester (FAME) profiling and several enzyme activities (β-glucosaminidase, acid phosphatase, arylsulfatase, β-glucosidase, xylanase, laccase, and manganese peroxidase) critical to soil organic matter (SOM) dynamics and biogeochemical cycling. In this forest, heavily-thinned plots without burning or less frequent burning treatments seemed to provide more favorable conditions (higher pH and lower C:N ratios) for C and N mineralization. This may explain a slight increase (by 12%) detected in fungi:bacteria (F:B) ratio in the heavily-thinned plots relative to the control. Thinned (lightly and heavily) plots showed greater ligninolytic (laccase and MnP) activities and lower β-glucosidase and β-glucosaminidase activities compared to the no-thinned plots probably due to increase depositions of woody recalcitrant C materials. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338516"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338516/Potentials_for_Soil_Enzyme_as_Indicators_of_Ecological_Management"><img alt="Research paper thumbnail of Potentials for Soil Enzyme as Indicators of Ecological Management" class="work-thumbnail" src="https://attachments.academia-assets.com/113989165/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338516/Potentials_for_Soil_Enzyme_as_Indicators_of_Ecological_Management">Potentials for Soil Enzyme as Indicators of Ecological Management</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Activity measurements of selected soil enzymes (cellulase, glucosidase, amidohydrolase, phosphata...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Activity measurements of selected soil enzymes (cellulase, glucosidase, amidohydrolase, phosphatase, arylsulfatase) involved in carbon, nitrogen, phosphorus, and sulfur cycling in the biosphere, hold potential as early and sensitive indicators of soil ecological stress and restoration, These measurements are advantageous because the procedures are simple, rapid, and reproducible over time. Enzyme activities are sensitive to short-term changes in soil and kind-use management. Enzyme activities have also been observed to be closely related to soil organic matter proposed as an index of soil quality.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a0ed454e5034812bf02f8e860affd947" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989165,"asset_id":118338516,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989165/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338516"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338516"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338516; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338516]").text(description); $(".js-view-count[data-work-id=118338516]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338516; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338516']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a0ed454e5034812bf02f8e860affd947" } } $('.js-work-strip[data-work-id=118338516]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338516,"title":"Potentials for Soil Enzyme as Indicators of Ecological Management","translated_title":"","metadata":{"abstract":"Activity measurements of selected soil enzymes (cellulase, glucosidase, amidohydrolase, phosphatase, arylsulfatase) involved in carbon, nitrogen, phosphorus, and sulfur cycling in the biosphere, hold potential as early and sensitive indicators of soil ecological stress and restoration, These measurements are advantageous because the procedures are simple, rapid, and reproducible over time. Enzyme activities are sensitive to short-term changes in soil and kind-use management. Enzyme activities have also been observed to be closely related to soil organic matter proposed as an index of soil quality.","ai_title_tag":"Soil Enzyme Activities as Ecological Indicators"},"translated_abstract":"Activity measurements of selected soil enzymes (cellulase, glucosidase, amidohydrolase, phosphatase, arylsulfatase) involved in carbon, nitrogen, phosphorus, and sulfur cycling in the biosphere, hold potential as early and sensitive indicators of soil ecological stress and restoration, These measurements are advantageous because the procedures are simple, rapid, and reproducible over time. Enzyme activities are sensitive to short-term changes in soil and kind-use management. Enzyme activities have also been observed to be closely related to soil organic matter proposed as an index of soil quality.","internal_url":"https://www.academia.edu/118338516/Potentials_for_Soil_Enzyme_as_Indicators_of_Ecological_Management","translated_internal_url":"","created_at":"2024-04-30T09:43:29.613-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113989165,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989165/thumbnails/1.jpg","file_name":"20010000509.pdf","download_url":"https://www.academia.edu/attachments/113989165/download_file","bulk_download_file_name":"Potentials_for_Soil_Enzyme_as_Indicators.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989165/20010000509-libre.pdf?1714495848=\u0026response-content-disposition=attachment%3B+filename%3DPotentials_for_Soil_Enzyme_as_Indicators.pdf\u0026Expires=1741937401\u0026Signature=Me2DPuJulu4SbZKeKurrTlYlOVyzBokzKtfthQ7~FrTmbsB8SQGXx4M2sLwBjmrPIHfctGU~8BYBZoIWiMlq2dPImE8iWoVfEFAc2zYur3LpfWjWPa74gqvwDC37SddJjvhA9IJH-ZNvdkWKVdFiK-DxDso5x-Vx2lS2wd8IXgMgx83ImiCG-2R7MicItkW3QrGrg5MeqI44Fd04vV3tiac9tYsGVCrHDfD-BXYPIO7tn9v~POeWEXS2RYw8XcIAdeq9wpYFMzfSrsKhEU7tqaNrMHCJVWV7bMClfziPHq5PKMhrPdaehCndsw7h5bgsklHc3JvnKPG11tmnMyvC3w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Potentials_for_Soil_Enzyme_as_Indicators_of_Ecological_Management","translated_slug":"","page_count":5,"language":"en","content_type":"Work","summary":"Activity measurements of selected soil enzymes (cellulase, glucosidase, amidohydrolase, phosphatase, arylsulfatase) involved in carbon, nitrogen, phosphorus, and sulfur cycling in the biosphere, hold potential as early and sensitive indicators of soil ecological stress and restoration, These measurements are advantageous because the procedures are simple, rapid, and reproducible over time. 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IGARSS'99 (Cat. No.99CH36293)</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Knowledge of the spatial and temporal distribution of soil moisture under a variety of l...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Knowledge of the spatial and temporal distribution of soil moisture under a variety of landscapes and soil conditions is essential for the proper management and utilization of available water. The spatial distribution of soil moisture in the field is often related to the heterogeneity of soil hydraulic and other physical properties. During the Southern Great Plains Hydrology Experiment (1997) in Oklahoma, time domain reflectometry (TDR) measurements were made on a full-section wheat field, open rangeland, and a field dominated with sodic soils along 7 transects spaced at 100 meters. The spacing between sampling points along the transects was also 100 m. Six rainfall events occurred during the 24-day measurement period. Soil moisture content ranged from 0.3 to 0.70 cm3/cm3 in the field during the experiment. Time series analysis showed no significant difference in surface soil moisture between the rangeland and harvested wheat fields. They were consistently drier than the sandy, bare sodic soils. The standard deviation decreased with decreasing soil moisture in the sodic soils and cut wheat fields. The coefficient of variation decreased with increasing soil water content. Results of this study will aid in the development of hydrological and land surface models</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338515"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338515"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338515; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338515]").text(description); $(".js-view-count[data-work-id=118338515]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338515; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338515']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=118338515]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338515,"title":"Soil moisture variability on the landscape as a function of land use: implication for remote sensing of surface soil moisture","translated_title":"","metadata":{"abstract":"ABSTRACT Knowledge of the spatial and temporal distribution of soil moisture under a variety of landscapes and soil conditions is essential for the proper management and utilization of available water. The spatial distribution of soil moisture in the field is often related to the heterogeneity of soil hydraulic and other physical properties. During the Southern Great Plains Hydrology Experiment (1997) in Oklahoma, time domain reflectometry (TDR) measurements were made on a full-section wheat field, open rangeland, and a field dominated with sodic soils along 7 transects spaced at 100 meters. The spacing between sampling points along the transects was also 100 m. Six rainfall events occurred during the 24-day measurement period. Soil moisture content ranged from 0.3 to 0.70 cm3/cm3 in the field during the experiment. Time series analysis showed no significant difference in surface soil moisture between the rangeland and harvested wheat fields. They were consistently drier than the sandy, bare sodic soils. The standard deviation decreased with decreasing soil moisture in the sodic soils and cut wheat fields. The coefficient of variation decreased with increasing soil water content. Results of this study will aid in the development of hydrological and land surface models","publication_name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)"},"translated_abstract":"ABSTRACT Knowledge of the spatial and temporal distribution of soil moisture under a variety of landscapes and soil conditions is essential for the proper management and utilization of available water. The spatial distribution of soil moisture in the field is often related to the heterogeneity of soil hydraulic and other physical properties. During the Southern Great Plains Hydrology Experiment (1997) in Oklahoma, time domain reflectometry (TDR) measurements were made on a full-section wheat field, open rangeland, and a field dominated with sodic soils along 7 transects spaced at 100 meters. The spacing between sampling points along the transects was also 100 m. Six rainfall events occurred during the 24-day measurement period. Soil moisture content ranged from 0.3 to 0.70 cm3/cm3 in the field during the experiment. Time series analysis showed no significant difference in surface soil moisture between the rangeland and harvested wheat fields. They were consistently drier than the sandy, bare sodic soils. The standard deviation decreased with decreasing soil moisture in the sodic soils and cut wheat fields. The coefficient of variation decreased with increasing soil water content. Results of this study will aid in the development of hydrological and land surface models","internal_url":"https://www.academia.edu/118338515/Soil_moisture_variability_on_the_landscape_as_a_function_of_land_use_implication_for_remote_sensing_of_surface_soil_moisture","translated_internal_url":"","created_at":"2024-04-30T09:43:29.482-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Soil_moisture_variability_on_the_landscape_as_a_function_of_land_use_implication_for_remote_sensing_of_surface_soil_moisture","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"ABSTRACT Knowledge of the spatial and temporal distribution of soil moisture under a variety of landscapes and soil conditions is essential for the proper management and utilization of available water. The spatial distribution of soil moisture in the field is often related to the heterogeneity of soil hydraulic and other physical properties. During the Southern Great Plains Hydrology Experiment (1997) in Oklahoma, time domain reflectometry (TDR) measurements were made on a full-section wheat field, open rangeland, and a field dominated with sodic soils along 7 transects spaced at 100 meters. The spacing between sampling points along the transects was also 100 m. Six rainfall events occurred during the 24-day measurement period. Soil moisture content ranged from 0.3 to 0.70 cm3/cm3 in the field during the experiment. Time series analysis showed no significant difference in surface soil moisture between the rangeland and harvested wheat fields. They were consistently drier than the sandy, bare sodic soils. The standard deviation decreased with decreasing soil moisture in the sodic soils and cut wheat fields. The coefficient of variation decreased with increasing soil water content. Results of this study will aid in the development of hydrological and land surface models","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":421,"name":"Soil Science","url":"https://www.academia.edu/Documents/in/Soil_Science"},{"id":162644,"name":"Transect","url":"https://www.academia.edu/Documents/in/Transect"},{"id":241820,"name":"Spatial Variability","url":"https://www.academia.edu/Documents/in/Spatial_Variability"},{"id":845678,"name":"Water Content","url":"https://www.academia.edu/Documents/in/Water_Content"},{"id":1222799,"name":"Soil Water","url":"https://www.academia.edu/Documents/in/Soil_Water"},{"id":1828336,"name":"Field capacity","url":"https://www.academia.edu/Documents/in/Field_capacity"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338514"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/118338514/Effect_of_Management_Systems_on_Nitrogen_Mineralization_and_Nitrification_in_Soils"><img alt="Research paper thumbnail of Effect of Management Systems on Nitrogen Mineralization and Nitrification in Soils" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/118338514/Effect_of_Management_Systems_on_Nitrogen_Mineralization_and_Nitrification_in_Soils">Effect of Management Systems on Nitrogen Mineralization and Nitrification in Soils</a></div><div class="wp-workCard_item"><span>Communications in Soil Science and Plant Analysis</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Nitrogen (N) management and spatial variability of soils have received considerable atte...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Nitrogen (N) management and spatial variability of soils have received considerable attention in recent years. The effect of long‐term cropping systems on net N mineralization was studied in soils obtained from replicated plots from two sites: Galva‐Webster Research Center (CWRC site) at Kanawha and Galva‐Primghar Research Center (GPRC site) at Sutherland in Iowa, USA. Each experiment consisted of three cropping systems: continuous corn (CCCC), corn‐soybean‐corn‐soybean (CSCS), and corn‐oats‐meadow‐meadow (COMM), and treated before corn with (+N) and without (0N) ammoniacal fertilizer. Other studies involved assessing the effect of eight lime application rates (0–17,920 kg ha effective calcium carbonate equivalent, ECCE) on net N mineralization and nitrification in soils at the Northeast Research Center (NERC site) at Nashua, Iowa. The means of cumulative N mineralized at 30°C for 24 weeks in soils from the CWRC and GPRC sites, expressed as percentage of organic N, were generally greater in N‐treated plots than in control plots. The greatest amounts of N mineralized were in soils from the COMM rotation plots. Application of the log transformation of the data to calculate the potential mineralizable N (No) and the first‐order constants (k) showed that the data obeyed the exponential equation model. Expressed as percentages of total organic N in soils, the cumulative amounts of N mineralized ranged from 2.7 to 3.4% at 20°C and from 5.8 to 7.5% at 30°C. The cumulative amounts of N mineralized at 20°C and 30°C in soils from the plots under CSCS rotation were not affected by lime application. The Q10 values of N mineralization ranged from 1.9 to 2.2. Increasing the rate of lime application decreased the No values at 20°C, but not at 30°C. Liming soils markedly increased the nitrification rate, from 27% of the NH4 ‐N added for untreated soils (0 kg ECCE ha) to 76% for the soil treated with 17920 kg ECCE ha. N mineralization and nitrification rates varied among the replicated plots.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338514"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338514"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338514; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338514]").text(description); $(".js-view-count[data-work-id=118338514]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338514; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338514']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=118338514]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338514,"title":"Effect of Management Systems on Nitrogen Mineralization and Nitrification in Soils","translated_title":"","metadata":{"abstract":"ABSTRACT Nitrogen (N) management and spatial variability of soils have received considerable attention in recent years. The effect of long‐term cropping systems on net N mineralization was studied in soils obtained from replicated plots from two sites: Galva‐Webster Research Center (CWRC site) at Kanawha and Galva‐Primghar Research Center (GPRC site) at Sutherland in Iowa, USA. Each experiment consisted of three cropping systems: continuous corn (CCCC), corn‐soybean‐corn‐soybean (CSCS), and corn‐oats‐meadow‐meadow (COMM), and treated before corn with (+N) and without (0N) ammoniacal fertilizer. Other studies involved assessing the effect of eight lime application rates (0–17,920 kg ha effective calcium carbonate equivalent, ECCE) on net N mineralization and nitrification in soils at the Northeast Research Center (NERC site) at Nashua, Iowa. The means of cumulative N mineralized at 30°C for 24 weeks in soils from the CWRC and GPRC sites, expressed as percentage of organic N, were generally greater in N‐treated plots than in control plots. The greatest amounts of N mineralized were in soils from the COMM rotation plots. Application of the log transformation of the data to calculate the potential mineralizable N (No) and the first‐order constants (k) showed that the data obeyed the exponential equation model. Expressed as percentages of total organic N in soils, the cumulative amounts of N mineralized ranged from 2.7 to 3.4% at 20°C and from 5.8 to 7.5% at 30°C. The cumulative amounts of N mineralized at 20°C and 30°C in soils from the plots under CSCS rotation were not affected by lime application. The Q10 values of N mineralization ranged from 1.9 to 2.2. Increasing the rate of lime application decreased the No values at 20°C, but not at 30°C. Liming soils markedly increased the nitrification rate, from 27% of the NH4 ‐N added for untreated soils (0 kg ECCE ha) to 76% for the soil treated with 17920 kg ECCE ha. N mineralization and nitrification rates varied among the replicated plots.","publisher":"Informa UK Limited","publication_date":{"day":null,"month":null,"year":2005,"errors":{}},"publication_name":"Communications in Soil Science and Plant Analysis"},"translated_abstract":"ABSTRACT Nitrogen (N) management and spatial variability of soils have received considerable attention in recent years. The effect of long‐term cropping systems on net N mineralization was studied in soils obtained from replicated plots from two sites: Galva‐Webster Research Center (CWRC site) at Kanawha and Galva‐Primghar Research Center (GPRC site) at Sutherland in Iowa, USA. Each experiment consisted of three cropping systems: continuous corn (CCCC), corn‐soybean‐corn‐soybean (CSCS), and corn‐oats‐meadow‐meadow (COMM), and treated before corn with (+N) and without (0N) ammoniacal fertilizer. Other studies involved assessing the effect of eight lime application rates (0–17,920 kg ha effective calcium carbonate equivalent, ECCE) on net N mineralization and nitrification in soils at the Northeast Research Center (NERC site) at Nashua, Iowa. The means of cumulative N mineralized at 30°C for 24 weeks in soils from the CWRC and GPRC sites, expressed as percentage of organic N, were generally greater in N‐treated plots than in control plots. The greatest amounts of N mineralized were in soils from the COMM rotation plots. Application of the log transformation of the data to calculate the potential mineralizable N (No) and the first‐order constants (k) showed that the data obeyed the exponential equation model. Expressed as percentages of total organic N in soils, the cumulative amounts of N mineralized ranged from 2.7 to 3.4% at 20°C and from 5.8 to 7.5% at 30°C. The cumulative amounts of N mineralized at 20°C and 30°C in soils from the plots under CSCS rotation were not affected by lime application. The Q10 values of N mineralization ranged from 1.9 to 2.2. Increasing the rate of lime application decreased the No values at 20°C, but not at 30°C. Liming soils markedly increased the nitrification rate, from 27% of the NH4 ‐N added for untreated soils (0 kg ECCE ha) to 76% for the soil treated with 17920 kg ECCE ha. N mineralization and nitrification rates varied among the replicated plots.","internal_url":"https://www.academia.edu/118338514/Effect_of_Management_Systems_on_Nitrogen_Mineralization_and_Nitrification_in_Soils","translated_internal_url":"","created_at":"2024-04-30T09:43:29.215-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Effect_of_Management_Systems_on_Nitrogen_Mineralization_and_Nitrification_in_Soils","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"ABSTRACT Nitrogen (N) management and spatial variability of soils have received considerable attention in recent years. The effect of long‐term cropping systems on net N mineralization was studied in soils obtained from replicated plots from two sites: Galva‐Webster Research Center (CWRC site) at Kanawha and Galva‐Primghar Research Center (GPRC site) at Sutherland in Iowa, USA. Each experiment consisted of three cropping systems: continuous corn (CCCC), corn‐soybean‐corn‐soybean (CSCS), and corn‐oats‐meadow‐meadow (COMM), and treated before corn with (+N) and without (0N) ammoniacal fertilizer. Other studies involved assessing the effect of eight lime application rates (0–17,920 kg ha effective calcium carbonate equivalent, ECCE) on net N mineralization and nitrification in soils at the Northeast Research Center (NERC site) at Nashua, Iowa. The means of cumulative N mineralized at 30°C for 24 weeks in soils from the CWRC and GPRC sites, expressed as percentage of organic N, were generally greater in N‐treated plots than in control plots. The greatest amounts of N mineralized were in soils from the COMM rotation plots. Application of the log transformation of the data to calculate the potential mineralizable N (No) and the first‐order constants (k) showed that the data obeyed the exponential equation model. Expressed as percentages of total organic N in soils, the cumulative amounts of N mineralized ranged from 2.7 to 3.4% at 20°C and from 5.8 to 7.5% at 30°C. The cumulative amounts of N mineralized at 20°C and 30°C in soils from the plots under CSCS rotation were not affected by lime application. The Q10 values of N mineralization ranged from 1.9 to 2.2. Increasing the rate of lime application decreased the No values at 20°C, but not at 30°C. Liming soils markedly increased the nitrification rate, from 27% of the NH4 ‐N added for untreated soils (0 kg ECCE ha) to 76% for the soil treated with 17920 kg ECCE ha. N mineralization and nitrification rates varied among the replicated plots.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":1037,"name":"Agronomy","url":"https://www.academia.edu/Documents/in/Agronomy"},{"id":5541,"name":"Plant Biology","url":"https://www.academia.edu/Documents/in/Plant_Biology"},{"id":20807,"name":"Nitrogen Cycle","url":"https://www.academia.edu/Documents/in/Nitrogen_Cycle"},{"id":70381,"name":"Nitrification","url":"https://www.academia.edu/Documents/in/Nitrification"},{"id":158596,"name":"Fertilizer","url":"https://www.academia.edu/Documents/in/Fertilizer"},{"id":217324,"name":"Soil sciences","url":"https://www.academia.edu/Documents/in/Soil_sciences"},{"id":841116,"name":"Lime","url":"https://www.academia.edu/Documents/in/Lime"},{"id":1222799,"name":"Soil Water","url":"https://www.academia.edu/Documents/in/Soil_Water"}],"urls":[{"id":41532221,"url":"http://www.tandfonline.com/doi/pdf/10.1081/CSS-200056942"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338499"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338499/Enzymatic_Hydrolysis_of_an_Organic_Sulfur_Compound"><img alt="Research paper thumbnail of Enzymatic Hydrolysis of an Organic Sulfur Compound" class="work-thumbnail" src="https://attachments.academia-assets.com/113989147/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338499/Enzymatic_Hydrolysis_of_an_Organic_Sulfur_Compound">Enzymatic Hydrolysis of an Organic Sulfur Compound</a></div><div class="wp-workCard_item"><span>Advances in Enzyme Research</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Sulfatases which cleave sulfate esters in biological systems are key enzymes that deserve special...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Sulfatases which cleave sulfate esters in biological systems are key enzymes that deserve special attention due to their significant roles in organic sulfur (OS) mineralization and inorganic sulfur (2 4 SO −) release. In this study, in-vitro experiments were conducted to evaluate S bonded substrate hydrolysis by a commercially available arylsulfatase (EC 3.1.6.1) from Aerobacter aerogenes. The enzyme-substrate interactions were assessed to determine: 1) rate of hydrolysis, 2) catalytic efficiency, 3) thermal stability, and 4) optimal pH of this enzyme. Arylsulfatase exhibited substrate hydrolysis with a high affinity for p-nitrophenyl sulfate (potassium 4-nitrophenyl sulfate (pNPS)). The optimum activity for the enzyme was observed to occur at a pH of 7.1. The optimal temperature was 37˚C but ranged from 35˚C-45˚C. The apparent K m and K cat of the enzyme for pNPS hydrolysis at the optimal pH, and temperature were determined to be 1.03 mM and 75.73 µM/min, respectively. This work defines the catalytic and kinetic properties of arylsulfatase (EC 3.1.6.1) and confirms the optimal conditions for sulfatase activity testing. The resulting information is useful in elucidating the contributions that individual enzymes have for specific reactions rather than relying on traditional total enzyme activity measurements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9bbe3cabc6a4f163e6099491f1f37d58" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989147,"asset_id":118338499,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989147/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338499"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338499"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338499; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338499]").text(description); $(".js-view-count[data-work-id=118338499]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338499; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338499']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9bbe3cabc6a4f163e6099491f1f37d58" } } $('.js-work-strip[data-work-id=118338499]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338499,"title":"Enzymatic Hydrolysis of an Organic Sulfur Compound","translated_title":"","metadata":{"publisher":"Scientific Research Publishing","ai_title_tag":"Characterization of Arylsulfatase in Organic Sulfur Hydrolysis","grobid_abstract":"Sulfatases which cleave sulfate esters in biological systems are key enzymes that deserve special attention due to their significant roles in organic sulfur (OS) mineralization and inorganic sulfur (2 4 SO −) release. In this study, in-vitro experiments were conducted to evaluate S bonded substrate hydrolysis by a commercially available arylsulfatase (EC 3.1.6.1) from Aerobacter aerogenes. The enzyme-substrate interactions were assessed to determine: 1) rate of hydrolysis, 2) catalytic efficiency, 3) thermal stability, and 4) optimal pH of this enzyme. Arylsulfatase exhibited substrate hydrolysis with a high affinity for p-nitrophenyl sulfate (potassium 4-nitrophenyl sulfate (pNPS)). The optimum activity for the enzyme was observed to occur at a pH of 7.1. The optimal temperature was 37˚C but ranged from 35˚C-45˚C. The apparent K m and K cat of the enzyme for pNPS hydrolysis at the optimal pH, and temperature were determined to be 1.03 mM and 75.73 µM/min, respectively. This work defines the catalytic and kinetic properties of arylsulfatase (EC 3.1.6.1) and confirms the optimal conditions for sulfatase activity testing. The resulting information is useful in elucidating the contributions that individual enzymes have for specific reactions rather than relying on traditional total enzyme activity measurements.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Advances in Enzyme Research","grobid_abstract_attachment_id":113989147},"translated_abstract":null,"internal_url":"https://www.academia.edu/118338499/Enzymatic_Hydrolysis_of_an_Organic_Sulfur_Compound","translated_internal_url":"","created_at":"2024-04-30T09:42:45.362-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113989147,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989147/thumbnails/1.jpg","file_name":"AER_2019041014070369.pdf","download_url":"https://www.academia.edu/attachments/113989147/download_file","bulk_download_file_name":"Enzymatic_Hydrolysis_of_an_Organic_Sulfu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989147/AER_2019041014070369-libre.pdf?1714495861=\u0026response-content-disposition=attachment%3B+filename%3DEnzymatic_Hydrolysis_of_an_Organic_Sulfu.pdf\u0026Expires=1741937401\u0026Signature=HVWX3MsBIDrj6EVwilSr46K6ajBxY3qs-oRPUelNcNZf~ogiNf3g3aNusi6Oge0-DhCV8uRdwD20QUNMDBOEQjnJssGMOAn0MxqHbKAmJ7ti4ZxKkeC5AjNmre6SteDDTBsyEe21mbeeJtKdFsax0Y1RckwPjMFmvoyHiymtzoEQ58sADnFeYpI-63MVMzY03sD6CBx7iqzoHs9BiPVxi0gU-MP3jIQZw7hKmGPzL8XbqOLb7kYCgIsTRFpUfBmbNXMy7fkJXCG7FU-tZjT3YK4lZXvAiUkWnngmQqmE~XEyVcZH1IUaqlBb0o8U27X70q5o3vaSO3wfpf1zIwKCSw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Enzymatic_Hydrolysis_of_an_Organic_Sulfur_Compound","translated_slug":"","page_count":13,"language":"en","content_type":"Work","summary":"Sulfatases which cleave sulfate esters in biological systems are key enzymes that deserve special attention due to their significant roles in organic sulfur (OS) mineralization and inorganic sulfur (2 4 SO −) release. In this study, in-vitro experiments were conducted to evaluate S bonded substrate hydrolysis by a commercially available arylsulfatase (EC 3.1.6.1) from Aerobacter aerogenes. The enzyme-substrate interactions were assessed to determine: 1) rate of hydrolysis, 2) catalytic efficiency, 3) thermal stability, and 4) optimal pH of this enzyme. Arylsulfatase exhibited substrate hydrolysis with a high affinity for p-nitrophenyl sulfate (potassium 4-nitrophenyl sulfate (pNPS)). The optimum activity for the enzyme was observed to occur at a pH of 7.1. The optimal temperature was 37˚C but ranged from 35˚C-45˚C. The apparent K m and K cat of the enzyme for pNPS hydrolysis at the optimal pH, and temperature were determined to be 1.03 mM and 75.73 µM/min, respectively. This work defines the catalytic and kinetic properties of arylsulfatase (EC 3.1.6.1) and confirms the optimal conditions for sulfatase activity testing. The resulting information is useful in elucidating the contributions that individual enzymes have for specific reactions rather than relying on traditional total enzyme activity measurements.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":113989147,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989147/thumbnails/1.jpg","file_name":"AER_2019041014070369.pdf","download_url":"https://www.academia.edu/attachments/113989147/download_file","bulk_download_file_name":"Enzymatic_Hydrolysis_of_an_Organic_Sulfu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989147/AER_2019041014070369-libre.pdf?1714495861=\u0026response-content-disposition=attachment%3B+filename%3DEnzymatic_Hydrolysis_of_an_Organic_Sulfu.pdf\u0026Expires=1741937401\u0026Signature=HVWX3MsBIDrj6EVwilSr46K6ajBxY3qs-oRPUelNcNZf~ogiNf3g3aNusi6Oge0-DhCV8uRdwD20QUNMDBOEQjnJssGMOAn0MxqHbKAmJ7ti4ZxKkeC5AjNmre6SteDDTBsyEe21mbeeJtKdFsax0Y1RckwPjMFmvoyHiymtzoEQ58sADnFeYpI-63MVMzY03sD6CBx7iqzoHs9BiPVxi0gU-MP3jIQZw7hKmGPzL8XbqOLb7kYCgIsTRFpUfBmbNXMy7fkJXCG7FU-tZjT3YK4lZXvAiUkWnngmQqmE~XEyVcZH1IUaqlBb0o8U27X70q5o3vaSO3wfpf1zIwKCSw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":231661,"name":"Enzyme","url":"https://www.academia.edu/Documents/in/Enzyme"},{"id":285012,"name":"Sulfur","url":"https://www.academia.edu/Documents/in/Sulfur"},{"id":1030794,"name":"Hydrolysis","url":"https://www.academia.edu/Documents/in/Hydrolysis"}],"urls":[{"id":41532217,"url":"https://doi.org/10.4236/aer.2019.71001"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94977347"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94977347/Phosphatase_Hydrolysis_of_Organic_Phosphorus_Compounds"><img alt="Research paper thumbnail of Phosphatase Hydrolysis of Organic Phosphorus Compounds" class="work-thumbnail" src="https://attachments.academia-assets.com/97287216/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94977347/Phosphatase_Hydrolysis_of_Organic_Phosphorus_Compounds">Phosphatase Hydrolysis of Organic Phosphorus Compounds</a></div><div class="wp-workCard_item"><span>Advances in Enzyme Research</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Phosphatases are diverse groups of enzymes that deserve special attention because of their signif...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Phosphatases are diverse groups of enzymes that deserve special attention because of their significant roles in organic phosphorus (OP) mineralization to inorganic available forms (Pi). This work 1) compared the catalytic potentials of commercially acid phosphatase from wheat germ, sweet potato, and potato, and alkaline phosphatase from E. coli; 2) demonstrated that the rate of hydrolysis, catalytic efficiency, thermal stability, and optimal pH of these enzymes depended on enzyme sources and the stereochemical or stereoisomeric structures of the substrates; 3) revealed that both acid and alkaline phosphatases exhibited broad range of substrate hydrolysis with high affinity for p-nitrophenyl phosphate bis (cyclohexylammonium) than the widely used p-nitrophenyl phosphate disodium hexahydrate for phosphatase assay. Sweet potato had relatively higher reaction kinetics (Vmax, K m , K cat , K cat /K m) values with most substrates tested. The order of catalytic activity was in the order: sweet potato > wheat germ > potato, while the order of substrate hydrolyzed was: PNPBC > PNP > PNP2A2E > DG6P2Na > DG6PNa > Bis-PNP > phytate. The optimum pH for the acid phosphatase was observed to be 5.0. Generally, the activity of alkaline phosphatase was similar to that of acid phosphatase with optimal pH between 10 and 13, depending on the substrates. Knowledge derived from this work would be helpful in enzyme catalysis in soils and water environments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="de676ba96bef49912fb636f94912d9d1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97287216,"asset_id":94977347,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97287216/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94977347"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94977347"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94977347; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94977347]").text(description); $(".js-view-count[data-work-id=94977347]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94977347; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94977347']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "de676ba96bef49912fb636f94912d9d1" } } $('.js-work-strip[data-work-id=94977347]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94977347,"title":"Phosphatase Hydrolysis of Organic Phosphorus Compounds","translated_title":"","metadata":{"publisher":"Scientific Research Publishing, Inc.","grobid_abstract":"Phosphatases are diverse groups of enzymes that deserve special attention because of their significant roles in organic phosphorus (OP) mineralization to inorganic available forms (Pi). This work 1) compared the catalytic potentials of commercially acid phosphatase from wheat germ, sweet potato, and potato, and alkaline phosphatase from E. coli; 2) demonstrated that the rate of hydrolysis, catalytic efficiency, thermal stability, and optimal pH of these enzymes depended on enzyme sources and the stereochemical or stereoisomeric structures of the substrates; 3) revealed that both acid and alkaline phosphatases exhibited broad range of substrate hydrolysis with high affinity for p-nitrophenyl phosphate bis (cyclohexylammonium) than the widely used p-nitrophenyl phosphate disodium hexahydrate for phosphatase assay. Sweet potato had relatively higher reaction kinetics (Vmax, K m , K cat , K cat /K m) values with most substrates tested. The order of catalytic activity was in the order: sweet potato \u003e wheat germ \u003e potato, while the order of substrate hydrolyzed was: PNPBC \u003e PNP \u003e PNP2A2E \u003e DG6P2Na \u003e DG6PNa \u003e Bis-PNP \u003e phytate. The optimum pH for the acid phosphatase was observed to be 5.0. Generally, the activity of alkaline phosphatase was similar to that of acid phosphatase with optimal pH between 10 and 13, depending on the substrates. Knowledge derived from this work would be helpful in enzyme catalysis in soils and water environments.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Advances in Enzyme Research","grobid_abstract_attachment_id":97287216},"translated_abstract":null,"internal_url":"https://www.academia.edu/94977347/Phosphatase_Hydrolysis_of_Organic_Phosphorus_Compounds","translated_internal_url":"","created_at":"2023-01-14T09:42:05.157-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97287216,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97287216/thumbnails/1.jpg","file_name":"8c50a4ec0f13c0dd10fdaa34fdd2f1098a0a.pdf","download_url":"https://www.academia.edu/attachments/97287216/download_file","bulk_download_file_name":"Phosphatase_Hydrolysis_of_Organic_Phosph.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97287216/8c50a4ec0f13c0dd10fdaa34fdd2f1098a0a-libre.pdf?1673721446=\u0026response-content-disposition=attachment%3B+filename%3DPhosphatase_Hydrolysis_of_Organic_Phosph.pdf\u0026Expires=1741937401\u0026Signature=IImb67xqg4-8UvegqMtl2kXkvUc~3lczyQ9qLk~8BA3~pHMCVDh7370qi64BXIXuNkQKpWXT3PZ5pJqRMkuOJRgPWQh-HzRFxjBvkQTRKzwfQrRJTLsawIeW5x3x7YZtWJeSP-gsYQVLZ0J0za9LFXkfYbgunywF8jImYxIUmiyrZrl8B~srAb7EgSRnFmanf5QDIy4Qtl22OOtWl3H0~WRSZ5WHFmII6e3WbDd0CefqrhNeXvdSt3voPY56M4Agnrk-j2UIibCAsGsPXqu~4vQ4xtFHKckIOUXyfgnbiNyHX7pEKyyjw870o1PB5tLmbcZ5lBmsWWn2YNP1KdFcRQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Phosphatase_Hydrolysis_of_Organic_Phosphorus_Compounds","translated_slug":"","page_count":13,"language":"en","content_type":"Work","summary":"Phosphatases are diverse groups of enzymes that deserve special attention because of their significant roles in organic phosphorus (OP) mineralization to inorganic available forms (Pi). This work 1) compared the catalytic potentials of commercially acid phosphatase from wheat germ, sweet potato, and potato, and alkaline phosphatase from E. coli; 2) demonstrated that the rate of hydrolysis, catalytic efficiency, thermal stability, and optimal pH of these enzymes depended on enzyme sources and the stereochemical or stereoisomeric structures of the substrates; 3) revealed that both acid and alkaline phosphatases exhibited broad range of substrate hydrolysis with high affinity for p-nitrophenyl phosphate bis (cyclohexylammonium) than the widely used p-nitrophenyl phosphate disodium hexahydrate for phosphatase assay. Sweet potato had relatively higher reaction kinetics (Vmax, K m , K cat , K cat /K m) values with most substrates tested. The order of catalytic activity was in the order: sweet potato \u003e wheat germ \u003e potato, while the order of substrate hydrolyzed was: PNPBC \u003e PNP \u003e PNP2A2E \u003e DG6P2Na \u003e DG6PNa \u003e Bis-PNP \u003e phytate. The optimum pH for the acid phosphatase was observed to be 5.0. Generally, the activity of alkaline phosphatase was similar to that of acid phosphatase with optimal pH between 10 and 13, depending on the substrates. Knowledge derived from this work would be helpful in enzyme catalysis in soils and water environments.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":97287216,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97287216/thumbnails/1.jpg","file_name":"8c50a4ec0f13c0dd10fdaa34fdd2f1098a0a.pdf","download_url":"https://www.academia.edu/attachments/97287216/download_file","bulk_download_file_name":"Phosphatase_Hydrolysis_of_Organic_Phosph.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97287216/8c50a4ec0f13c0dd10fdaa34fdd2f1098a0a-libre.pdf?1673721446=\u0026response-content-disposition=attachment%3B+filename%3DPhosphatase_Hydrolysis_of_Organic_Phosph.pdf\u0026Expires=1741937401\u0026Signature=IImb67xqg4-8UvegqMtl2kXkvUc~3lczyQ9qLk~8BA3~pHMCVDh7370qi64BXIXuNkQKpWXT3PZ5pJqRMkuOJRgPWQh-HzRFxjBvkQTRKzwfQrRJTLsawIeW5x3x7YZtWJeSP-gsYQVLZ0J0za9LFXkfYbgunywF8jImYxIUmiyrZrl8B~srAb7EgSRnFmanf5QDIy4Qtl22OOtWl3H0~WRSZ5WHFmII6e3WbDd0CefqrhNeXvdSt3voPY56M4Agnrk-j2UIibCAsGsPXqu~4vQ4xtFHKckIOUXyfgnbiNyHX7pEKyyjw870o1PB5tLmbcZ5lBmsWWn2YNP1KdFcRQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":4749,"name":"Catalysis","url":"https://www.academia.edu/Documents/in/Catalysis"},{"id":38442,"name":"Enzyme Kinetics","url":"https://www.academia.edu/Documents/in/Enzyme_Kinetics"},{"id":81065,"name":"Phosphatase","url":"https://www.academia.edu/Documents/in/Phosphatase"},{"id":204435,"name":"Alkaline phosphatase","url":"https://www.academia.edu/Documents/in/Alkaline_phosphatase"},{"id":231661,"name":"Enzyme","url":"https://www.academia.edu/Documents/in/Enzyme"},{"id":843400,"name":"Phosphate","url":"https://www.academia.edu/Documents/in/Phosphate"},{"id":1030794,"name":"Hydrolysis","url":"https://www.academia.edu/Documents/in/Hydrolysis"},{"id":2690076,"name":"Acid Phosphatase","url":"https://www.academia.edu/Documents/in/Acid_Phosphatase"}],"urls":[{"id":28050170,"url":"http://www.scirp.org/journal/doi.aspx?DOI=10.4236/aer.2015.32005"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94977346"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94977346/Aspartase_activity_in_soils_effects_of_trace_elements_and_relationships_to_other_amidohydrolases"><img alt="Research paper thumbnail of Aspartase activity in soils: effects of trace elements and relationships to other amidohydrolases" class="work-thumbnail" src="https://attachments.academia-assets.com/97287217/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94977346/Aspartase_activity_in_soils_effects_of_trace_elements_and_relationships_to_other_amidohydrolases">Aspartase activity in soils: effects of trace elements and relationships to other amidohydrolases</a></div><div class="wp-workCard_item"><span>Soil Biology and Biochemistry</span><span>, 1999</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The enzyme aspartase (L-aspartase ammonia-lyase, EC 4.3.1.1) catalyzes the hydrolysis of L-aspart...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The enzyme aspartase (L-aspartase ammonia-lyase, EC 4.3.1.1) catalyzes the hydrolysis of L-aspartate to produce fumarate and NH 3. This enzyme is involved in N mineralization in soils. Recently, the activity of this enzyme was detected in soils, and a method was developed for its assay. The method was used in studies of the eects of the salts of 24 trace elements on the activity of aspartase in three ®eld-moist soils and their air-dried counterparts. At 5 mmol g À 1 soil, all the trace elements inhibited aspartase activity in the soils. With most of the elements, greater inhibition was found in air-dried than in ®eld-moist soils. Among the trace elements studied, Ag(I) and Hg(II) were the most eective inhibitors of aspartase activity; >85% when added at 5 mmol g À 1 soil. The least inhibition (12%) was with Ni added to the ®eld-moist Harps soil and the greatest (98%) was with Ag(I) in the air-dried Weller soil. Aspartase activity was signi®cantly correlated with the contents of organic C (r = 0.85***, P < 0.001), total N (r = 0.73***) and clay (r = 0.44*, P < 0.05) but not with the content of sand or the pH of 27 surface soils examined, including the three soils used in the studies of the eects of trace elements. The activity of this enzyme in soils was signi®cantly correlated with the activities of asparaginase (r = 0.94***), glutaminase (r = 0.88***), urease (r = 0.80***) and amidase (r = 0.44*).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3796519227c4e51c3eb6bfa2a063c3ce" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97287217,"asset_id":94977346,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97287217/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94977346"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94977346"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94977346; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94977346]").text(description); $(".js-view-count[data-work-id=94977346]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94977346; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94977346']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3796519227c4e51c3eb6bfa2a063c3ce" } } $('.js-work-strip[data-work-id=94977346]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94977346,"title":"Aspartase activity in soils: effects of trace elements and relationships to other amidohydrolases","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"The enzyme aspartase (L-aspartase ammonia-lyase, EC 4.3.1.1) catalyzes the hydrolysis of L-aspartate to produce fumarate and NH 3. This enzyme is involved in N mineralization in soils. Recently, the activity of this enzyme was detected in soils, and a method was developed for its assay. The method was used in studies of the eects of the salts of 24 trace elements on the activity of aspartase in three ®eld-moist soils and their air-dried counterparts. At 5 mmol g À 1 soil, all the trace elements inhibited aspartase activity in the soils. With most of the elements, greater inhibition was found in air-dried than in ®eld-moist soils. Among the trace elements studied, Ag(I) and Hg(II) were the most eective inhibitors of aspartase activity; \u003e85% when added at 5 mmol g À 1 soil. The least inhibition (12%) was with Ni added to the ®eld-moist Harps soil and the greatest (98%) was with Ag(I) in the air-dried Weller soil. Aspartase activity was signi®cantly correlated with the contents of organic C (r = 0.85***, P \u003c 0.001), total N (r = 0.73***) and clay (r = 0.44*, P \u003c 0.05) but not with the content of sand or the pH of 27 surface soils examined, including the three soils used in the studies of the eects of trace elements. The activity of this enzyme in soils was signi®cantly correlated with the activities of asparaginase (r = 0.94***), glutaminase (r = 0.88***), urease (r = 0.80***) and amidase (r = 0.44*).","publication_date":{"day":null,"month":null,"year":1999,"errors":{}},"publication_name":"Soil Biology and Biochemistry","grobid_abstract_attachment_id":97287217},"translated_abstract":null,"internal_url":"https://www.academia.edu/94977346/Aspartase_activity_in_soils_effects_of_trace_elements_and_relationships_to_other_amidohydrolases","translated_internal_url":"","created_at":"2023-01-14T09:42:05.023-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97287217,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97287217/thumbnails/1.jpg","file_name":"s0038-0717_2898_2900091-120230114-1-fwqln.pdf","download_url":"https://www.academia.edu/attachments/97287217/download_file","bulk_download_file_name":"Aspartase_activity_in_soils_effects_of_t.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97287217/s0038-0717_2898_2900091-120230114-1-fwqln-libre.pdf?1673721431=\u0026response-content-disposition=attachment%3B+filename%3DAspartase_activity_in_soils_effects_of_t.pdf\u0026Expires=1741937401\u0026Signature=GzLK7bpu-da2AQhB1bnzMpFyP7V3aeGSpqpyg03CgnR4jGmaJxxgvR4ouhDZUwxhKa42cfotIMpfLrKLSPnszfV7~dnat2ozB1S~4KeDKOkFcq~5MA1lv7~zgJ8r6vdjCALJFtqHh6~ma4TFMR58Ia3vf3-dCTWie5oEcmJrWPxKlKwXRq68ECg0kPAD7mrygZ4-0vCETSLZlV1TnHJbnj66deH8BNrMH9cSFZxfOLOLgYLt~ujBBD0AOv52iGK0IrUM7Qae2Z2DugKQmeMuc0eV6pnchM-ijpIQ-lJZ1qJNaSY8c2WKJyRSNZsj5S1JMfHPWkm4nR5RZHxaJHZbCw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Aspartase_activity_in_soils_effects_of_trace_elements_and_relationships_to_other_amidohydrolases","translated_slug":"","page_count":7,"language":"en","content_type":"Work","summary":"The enzyme aspartase (L-aspartase ammonia-lyase, EC 4.3.1.1) catalyzes the hydrolysis of L-aspartate to produce fumarate and NH 3. This enzyme is involved in N mineralization in soils. Recently, the activity of this enzyme was detected in soils, and a method was developed for its assay. The method was used in studies of the eects of the salts of 24 trace elements on the activity of aspartase in three ®eld-moist soils and their air-dried counterparts. At 5 mmol g À 1 soil, all the trace elements inhibited aspartase activity in the soils. With most of the elements, greater inhibition was found in air-dried than in ®eld-moist soils. Among the trace elements studied, Ag(I) and Hg(II) were the most eective inhibitors of aspartase activity; \u003e85% when added at 5 mmol g À 1 soil. The least inhibition (12%) was with Ni added to the ®eld-moist Harps soil and the greatest (98%) was with Ag(I) in the air-dried Weller soil. Aspartase activity was signi®cantly correlated with the contents of organic C (r = 0.85***, P \u003c 0.001), total N (r = 0.73***) and clay (r = 0.44*, P \u003c 0.05) but not with the content of sand or the pH of 27 surface soils examined, including the three soils used in the studies of the eects of trace elements. The activity of this enzyme in soils was signi®cantly correlated with the activities of asparaginase (r = 0.94***), glutaminase (r = 0.88***), urease (r = 0.80***) and amidase (r = 0.44*).","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":97287217,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97287217/thumbnails/1.jpg","file_name":"s0038-0717_2898_2900091-120230114-1-fwqln.pdf","download_url":"https://www.academia.edu/attachments/97287217/download_file","bulk_download_file_name":"Aspartase_activity_in_soils_effects_of_t.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97287217/s0038-0717_2898_2900091-120230114-1-fwqln-libre.pdf?1673721431=\u0026response-content-disposition=attachment%3B+filename%3DAspartase_activity_in_soils_effects_of_t.pdf\u0026Expires=1741937401\u0026Signature=GzLK7bpu-da2AQhB1bnzMpFyP7V3aeGSpqpyg03CgnR4jGmaJxxgvR4ouhDZUwxhKa42cfotIMpfLrKLSPnszfV7~dnat2ozB1S~4KeDKOkFcq~5MA1lv7~zgJ8r6vdjCALJFtqHh6~ma4TFMR58Ia3vf3-dCTWie5oEcmJrWPxKlKwXRq68ECg0kPAD7mrygZ4-0vCETSLZlV1TnHJbnj66deH8BNrMH9cSFZxfOLOLgYLt~ujBBD0AOv52iGK0IrUM7Qae2Z2DugKQmeMuc0eV6pnchM-ijpIQ-lJZ1qJNaSY8c2WKJyRSNZsj5S1JMfHPWkm4nR5RZHxaJHZbCw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":15836,"name":"Environmental Chemistry","url":"https://www.academia.edu/Documents/in/Environmental_Chemistry"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":231661,"name":"Enzyme","url":"https://www.academia.edu/Documents/in/Enzyme"},{"id":600768,"name":"Organic C","url":"https://www.academia.edu/Documents/in/Organic_C"},{"id":709300,"name":"Trace element","url":"https://www.academia.edu/Documents/in/Trace_element"},{"id":1222799,"name":"Soil Water","url":"https://www.academia.edu/Documents/in/Soil_Water"}],"urls":[{"id":28050169,"url":"https://api.elsevier.com/content/article/PII:S0038071798000911?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338530"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/118338530/Effect_of_land_use_practice_on_soil_moisture_variability_for_soils_covered_with_dense_forest_vegetation_of_Puerto_Rico"><img alt="Research paper thumbnail of Effect of land-use practice on soil moisture variability for soils covered with dense forest vegetation of Puerto Rico" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/118338530/Effect_of_land_use_practice_on_soil_moisture_variability_for_soils_covered_with_dense_forest_vegetation_of_Puerto_Rico">Effect of land-use practice on soil moisture variability for soils covered with dense forest vegetation of Puerto Rico</a></div><div class="wp-workCard_item"><span>NASA University Research Centers Technical Advances in Aeronautics, Space Sciences and Technology, Earth Systems Sciences, Global Hydrology, and Education</span><span>, Feb 28, 1998</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338530"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338530"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338530; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338530]").text(description); $(".js-view-count[data-work-id=118338530]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338530; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338530']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=118338530]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338530,"title":"Effect of land-use practice on soil moisture variability for soils covered with dense forest vegetation of Puerto Rico","translated_title":"","metadata":{"abstract":"ABSTRACT","publication_date":{"day":28,"month":2,"year":1998,"errors":{}},"publication_name":"NASA University Research Centers Technical Advances in Aeronautics, Space Sciences and Technology, Earth Systems Sciences, Global Hydrology, and Education"},"translated_abstract":"ABSTRACT","internal_url":"https://www.academia.edu/118338530/Effect_of_land_use_practice_on_soil_moisture_variability_for_soils_covered_with_dense_forest_vegetation_of_Puerto_Rico","translated_internal_url":"","created_at":"2024-04-30T09:43:32.011-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Effect_of_land_use_practice_on_soil_moisture_variability_for_soils_covered_with_dense_forest_vegetation_of_Puerto_Rico","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"ABSTRACT","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":421,"name":"Soil Science","url":"https://www.academia.edu/Documents/in/Soil_Science"},{"id":133176,"name":"Moisture","url":"https://www.academia.edu/Documents/in/Moisture"},{"id":845678,"name":"Water Content","url":"https://www.academia.edu/Documents/in/Water_Content"},{"id":1222799,"name":"Soil Water","url":"https://www.academia.edu/Documents/in/Soil_Water"}],"urls":[{"id":41532233,"url":"https://ntrs.nasa.gov/search.jsp?R=20000032232"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338529"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/118338529/_title_Assessment_of_spatial_and_temporal_soil_moisture_variability_using_Geographic_Information_System_techniques_title_"><img alt="Research paper thumbnail of <title>Assessment of spatial and temporal soil moisture variability using Geographic Information System techniques</title>" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/118338529/_title_Assessment_of_spatial_and_temporal_soil_moisture_variability_using_Geographic_Information_System_techniques_title_"><title>Assessment of spatial and temporal soil moisture variability using Geographic Information System techniques</title></a></div><div class="wp-workCard_item"><span>Proceedings of SPIE</span><span>, Dec 30, 1997</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The objectives of this study were (1) to evaluate soil moisture variability under differ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT The objectives of this study were (1) to evaluate soil moisture variability under different land cover conditions and (2) to explore the effectiveness of geographic information system (GIS) technology in assessing the spatial and temporal soil moisture variability. The research was conducted on four 60 by 50 meter plots located on bare smooth soil, bare rough soil, mixed vegetation, and grass. From each plot, 5 cm depth soil samples were taken on a 10 by 10 meter grid at three different dates. Soil samples were oven dried to obtain the gravimetric soil moisture content. This study showed that GIS technology can be a valuable tool in accurately representing and examining the spatial and temporal variability of soil moisture under different soil cover conditions. Visual inspection of the 3-dimensional (3-D) representation of the soil moisture data showed notable variations within each plot among the different fields, and over time. Mean comparison was performed using the T-test to statistically evaluate and confirm the significance of these differences. Because the soil moisture measurements were taken on a relatively small area and within short time periods, although notably different, the spatial and temporal moisture variability was not statistically significant.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338529"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338529"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338529; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338529]").text(description); $(".js-view-count[data-work-id=118338529]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338529; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338529']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=118338529]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338529,"title":"\u003ctitle\u003eAssessment of spatial and temporal soil moisture variability using Geographic Information System techniques\u003c/title\u003e","translated_title":"","metadata":{"abstract":"ABSTRACT The objectives of this study were (1) to evaluate soil moisture variability under different land cover conditions and (2) to explore the effectiveness of geographic information system (GIS) technology in assessing the spatial and temporal soil moisture variability. The research was conducted on four 60 by 50 meter plots located on bare smooth soil, bare rough soil, mixed vegetation, and grass. From each plot, 5 cm depth soil samples were taken on a 10 by 10 meter grid at three different dates. Soil samples were oven dried to obtain the gravimetric soil moisture content. This study showed that GIS technology can be a valuable tool in accurately representing and examining the spatial and temporal variability of soil moisture under different soil cover conditions. Visual inspection of the 3-dimensional (3-D) representation of the soil moisture data showed notable variations within each plot among the different fields, and over time. Mean comparison was performed using the T-test to statistically evaluate and confirm the significance of these differences. Because the soil moisture measurements were taken on a relatively small area and within short time periods, although notably different, the spatial and temporal moisture variability was not statistically significant.","publisher":"SPIE","publication_date":{"day":30,"month":12,"year":1997,"errors":{}},"publication_name":"Proceedings of SPIE"},"translated_abstract":"ABSTRACT The objectives of this study were (1) to evaluate soil moisture variability under different land cover conditions and (2) to explore the effectiveness of geographic information system (GIS) technology in assessing the spatial and temporal soil moisture variability. The research was conducted on four 60 by 50 meter plots located on bare smooth soil, bare rough soil, mixed vegetation, and grass. From each plot, 5 cm depth soil samples were taken on a 10 by 10 meter grid at three different dates. Soil samples were oven dried to obtain the gravimetric soil moisture content. This study showed that GIS technology can be a valuable tool in accurately representing and examining the spatial and temporal variability of soil moisture under different soil cover conditions. Visual inspection of the 3-dimensional (3-D) representation of the soil moisture data showed notable variations within each plot among the different fields, and over time. Mean comparison was performed using the T-test to statistically evaluate and confirm the significance of these differences. Because the soil moisture measurements were taken on a relatively small area and within short time periods, although notably different, the spatial and temporal moisture variability was not statistically significant.","internal_url":"https://www.academia.edu/118338529/_title_Assessment_of_spatial_and_temporal_soil_moisture_variability_using_Geographic_Information_System_techniques_title_","translated_internal_url":"","created_at":"2024-04-30T09:43:31.818-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"_title_Assessment_of_spatial_and_temporal_soil_moisture_variability_using_Geographic_Information_System_techniques_title_","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"ABSTRACT The objectives of this study were (1) to evaluate soil moisture variability under different land cover conditions and (2) to explore the effectiveness of geographic information system (GIS) technology in assessing the spatial and temporal soil moisture variability. The research was conducted on four 60 by 50 meter plots located on bare smooth soil, bare rough soil, mixed vegetation, and grass. From each plot, 5 cm depth soil samples were taken on a 10 by 10 meter grid at three different dates. Soil samples were oven dried to obtain the gravimetric soil moisture content. This study showed that GIS technology can be a valuable tool in accurately representing and examining the spatial and temporal variability of soil moisture under different soil cover conditions. Visual inspection of the 3-dimensional (3-D) representation of the soil moisture data showed notable variations within each plot among the different fields, and over time. Mean comparison was performed using the T-test to statistically evaluate and confirm the significance of these differences. Because the soil moisture measurements were taken on a relatively small area and within short time periods, although notably different, the spatial and temporal moisture variability was not statistically significant.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":421,"name":"Soil Science","url":"https://www.academia.edu/Documents/in/Soil_Science"},{"id":79495,"name":"Land Cover","url":"https://www.academia.edu/Documents/in/Land_Cover"},{"id":83037,"name":"Soil moisture","url":"https://www.academia.edu/Documents/in/Soil_moisture"},{"id":125564,"name":"Statistical Significance","url":"https://www.academia.edu/Documents/in/Statistical_Significance"},{"id":241820,"name":"Spatial Variability","url":"https://www.academia.edu/Documents/in/Spatial_Variability"},{"id":267802,"name":"Dimensional","url":"https://www.academia.edu/Documents/in/Dimensional"},{"id":845678,"name":"Water Content","url":"https://www.academia.edu/Documents/in/Water_Content"},{"id":1211138,"name":"Geographic Information System","url":"https://www.academia.edu/Documents/in/Geographic_Information_System"},{"id":1312781,"name":"Temporal Variability","url":"https://www.academia.edu/Documents/in/Temporal_Variability"},{"id":1885930,"name":"Soil moisture content","url":"https://www.academia.edu/Documents/in/Soil_moisture_content"},{"id":2364406,"name":"Visual Inspection","url":"https://www.academia.edu/Documents/in/Visual_Inspection"},{"id":3820724,"name":"Statistical evaluation","url":"https://www.academia.edu/Documents/in/Statistical_evaluation"}],"urls":[{"id":41532232,"url":"https://doi.org/10.1117/12.298137"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338528"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338528/Microbial_and_organic_matter_patterns_in_a_prescribed_burned_and_thinned_managed_forest_ecosystem"><img alt="Research paper thumbnail of Microbial and organic matter patterns in a prescribed burned and thinned managed forest ecosystem" class="work-thumbnail" src="https://attachments.academia-assets.com/113989140/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338528/Microbial_and_organic_matter_patterns_in_a_prescribed_burned_and_thinned_managed_forest_ecosystem">Microbial and organic matter patterns in a prescribed burned and thinned managed forest ecosystem</a></div><div class="wp-workCard_item"><span>Ecosphere</span><span>, Dec 1, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Prescribed burning and thinning were implemented in an Alabama forest (Bankhead National Forest) ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Prescribed burning and thinning were implemented in an Alabama forest (Bankhead National Forest) as a management strategy to control pest and disease outbreaks and also to increase forest productivity. However, using fire as a control mechanism in this forest may alter soil nutrient cycling, soil organic matter (SOM), and soil microbial populations. There is the need for continuous research on forest ecosystems to bridge knowledge gaps in our understanding of SOM transformations and microbial processes in a repeatedly burned forest ecosystems. The objectives of this study were to assess and document the impact of prescribed burning and thinning on soil labile organic matter fractions, microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN), potential carbon mineralized (PCM), enzymatic activity, and energy (ATP) potentials. Labile organic carbon was isolated using the density method, whereas enzyme activities were determined as described in Bottomley et al. (Methods of soil analysis: part 2-Microbiological and biochemical properties, Madison, Wisconsin, USA: Soil Science Society of America, 1994). Microbial biomass C and N (MBC and MBN) were determined using the fumigation-incubation method. Treatment applications had some effects on MBC and MBN although these effects were not statistically significant (P ≤ 0.05). Light fraction carbon (LFC) and light fraction nitrogen (LFN) were significantly (P ≤ 0.05) affected by treatments. Irrespective of treatment, xylanase activity was the highest (3244 AE 327-5223 AE 567 lmol/g 24 h À1 ), whereas amylase activity was the lowest (12.57 AE 8.9-116 AE 42.8 lmol/g 24 h À1 ). Correlation analysis revealed that amylase, b-glucosidase, and NAGase correlated with particulate organic carbon (POC), particulate organic nitrogen (PON), and LFC, whereas cellulase, xylanase, and invertase had no correlation with the labile organic matter fractions. Compared to the referenced treatment plot, burned and thinned plots had reduced MBC, MBN, and increased PCM although this was not statistically significant. Although enzyme activities within plots were significant, no significant enzyme activities between plots were observed except with amylase. The lack of statistical significance on microbial activities, MBC, and MBN support our hypothesis that prescribed burning and thinning temporarily affected microbial indices, and these parameters are expected to return to pretreatment levels after a period of time.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6fae0cc2b93ace282c3c2a625e5bd571" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989140,"asset_id":118338528,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989140/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338528"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338528"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338528; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338528]").text(description); $(".js-view-count[data-work-id=118338528]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338528; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338528']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6fae0cc2b93ace282c3c2a625e5bd571" } } $('.js-work-strip[data-work-id=118338528]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338528,"title":"Microbial and organic matter patterns in a prescribed burned and thinned managed forest ecosystem","translated_title":"","metadata":{"publisher":"Wiley-Blackwell","ai_title_tag":"Impact of Fire on Soil Microbial Dynamics","grobid_abstract":"Prescribed burning and thinning were implemented in an Alabama forest (Bankhead National Forest) as a management strategy to control pest and disease outbreaks and also to increase forest productivity. However, using fire as a control mechanism in this forest may alter soil nutrient cycling, soil organic matter (SOM), and soil microbial populations. There is the need for continuous research on forest ecosystems to bridge knowledge gaps in our understanding of SOM transformations and microbial processes in a repeatedly burned forest ecosystems. The objectives of this study were to assess and document the impact of prescribed burning and thinning on soil labile organic matter fractions, microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN), potential carbon mineralized (PCM), enzymatic activity, and energy (ATP) potentials. Labile organic carbon was isolated using the density method, whereas enzyme activities were determined as described in Bottomley et al. (Methods of soil analysis: part 2-Microbiological and biochemical properties, Madison, Wisconsin, USA: Soil Science Society of America, 1994). Microbial biomass C and N (MBC and MBN) were determined using the fumigation-incubation method. Treatment applications had some effects on MBC and MBN although these effects were not statistically significant (P ≤ 0.05). Light fraction carbon (LFC) and light fraction nitrogen (LFN) were significantly (P ≤ 0.05) affected by treatments. Irrespective of treatment, xylanase activity was the highest (3244 AE 327-5223 AE 567 lmol/g 24 h À1 ), whereas amylase activity was the lowest (12.57 AE 8.9-116 AE 42.8 lmol/g 24 h À1 ). Correlation analysis revealed that amylase, b-glucosidase, and NAGase correlated with particulate organic carbon (POC), particulate organic nitrogen (PON), and LFC, whereas cellulase, xylanase, and invertase had no correlation with the labile organic matter fractions. Compared to the referenced treatment plot, burned and thinned plots had reduced MBC, MBN, and increased PCM although this was not statistically significant. Although enzyme activities within plots were significant, no significant enzyme activities between plots were observed except with amylase. The lack of statistical significance on microbial activities, MBC, and MBN support our hypothesis that prescribed burning and thinning temporarily affected microbial indices, and these parameters are expected to return to pretreatment levels after a period of time.","publication_date":{"day":1,"month":12,"year":2017,"errors":{}},"publication_name":"Ecosphere","grobid_abstract_attachment_id":113989140},"translated_abstract":null,"internal_url":"https://www.academia.edu/118338528/Microbial_and_organic_matter_patterns_in_a_prescribed_burned_and_thinned_managed_forest_ecosystem","translated_internal_url":"","created_at":"2024-04-30T09:43:31.623-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113989140,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989140/thumbnails/1.jpg","file_name":"ecs2.pdf","download_url":"https://www.academia.edu/attachments/113989140/download_file","bulk_download_file_name":"Microbial_and_organic_matter_patterns_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989140/ecs2-libre.pdf?1714495854=\u0026response-content-disposition=attachment%3B+filename%3DMicrobial_and_organic_matter_patterns_in.pdf\u0026Expires=1741872619\u0026Signature=I6mvxUBDo9MvU~Bak1vBgBSmAPct3gBYEh9o8wjodIvbnkUTfMCzLMbnjavbyBzJFWig~0v5fQyzvkNUrqZDPJpXMbpvg48N~1ZJiUO8tSWp9dxUvA9DZHw5C-nSuHbxUKDuV-UdrJBssIia72BdXJOG-SK00TLeA4SOhChIduYrxSzavCwJJrDXah31vW1KSSDcCw2FXA0c~~apv3JSJmyJHHbAWKIFiZO1Wotn8hlA9q86rn~65I6lsrIHAmzENEMj6fO4pk8slsSjRF-cufDZLvesGwRVSV80l3Df6GM4ZFEzyCqKnInYVHvjvdJaIzopbPv1C-rm8Ksq0Cldkg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Microbial_and_organic_matter_patterns_in_a_prescribed_burned_and_thinned_managed_forest_ecosystem","translated_slug":"","page_count":15,"language":"en","content_type":"Work","summary":"Prescribed burning and thinning were implemented in an Alabama forest (Bankhead National Forest) as a management strategy to control pest and disease outbreaks and also to increase forest productivity. However, using fire as a control mechanism in this forest may alter soil nutrient cycling, soil organic matter (SOM), and soil microbial populations. There is the need for continuous research on forest ecosystems to bridge knowledge gaps in our understanding of SOM transformations and microbial processes in a repeatedly burned forest ecosystems. The objectives of this study were to assess and document the impact of prescribed burning and thinning on soil labile organic matter fractions, microbial biomass carbon (MBC) and microbial biomass nitrogen (MBN), potential carbon mineralized (PCM), enzymatic activity, and energy (ATP) potentials. Labile organic carbon was isolated using the density method, whereas enzyme activities were determined as described in Bottomley et al. (Methods of soil analysis: part 2-Microbiological and biochemical properties, Madison, Wisconsin, USA: Soil Science Society of America, 1994). Microbial biomass C and N (MBC and MBN) were determined using the fumigation-incubation method. Treatment applications had some effects on MBC and MBN although these effects were not statistically significant (P ≤ 0.05). Light fraction carbon (LFC) and light fraction nitrogen (LFN) were significantly (P ≤ 0.05) affected by treatments. Irrespective of treatment, xylanase activity was the highest (3244 AE 327-5223 AE 567 lmol/g 24 h À1 ), whereas amylase activity was the lowest (12.57 AE 8.9-116 AE 42.8 lmol/g 24 h À1 ). Correlation analysis revealed that amylase, b-glucosidase, and NAGase correlated with particulate organic carbon (POC), particulate organic nitrogen (PON), and LFC, whereas cellulase, xylanase, and invertase had no correlation with the labile organic matter fractions. Compared to the referenced treatment plot, burned and thinned plots had reduced MBC, MBN, and increased PCM although this was not statistically significant. Although enzyme activities within plots were significant, no significant enzyme activities between plots were observed except with amylase. The lack of statistical significance on microbial activities, MBC, and MBN support our hypothesis that prescribed burning and thinning temporarily affected microbial indices, and these parameters are expected to return to pretreatment levels after a period of time.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":113989140,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989140/thumbnails/1.jpg","file_name":"ecs2.pdf","download_url":"https://www.academia.edu/attachments/113989140/download_file","bulk_download_file_name":"Microbial_and_organic_matter_patterns_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989140/ecs2-libre.pdf?1714495854=\u0026response-content-disposition=attachment%3B+filename%3DMicrobial_and_organic_matter_patterns_in.pdf\u0026Expires=1741872619\u0026Signature=I6mvxUBDo9MvU~Bak1vBgBSmAPct3gBYEh9o8wjodIvbnkUTfMCzLMbnjavbyBzJFWig~0v5fQyzvkNUrqZDPJpXMbpvg48N~1ZJiUO8tSWp9dxUvA9DZHw5C-nSuHbxUKDuV-UdrJBssIia72BdXJOG-SK00TLeA4SOhChIduYrxSzavCwJJrDXah31vW1KSSDcCw2FXA0c~~apv3JSJmyJHHbAWKIFiZO1Wotn8hlA9q86rn~65I6lsrIHAmzENEMj6fO4pk8slsSjRF-cufDZLvesGwRVSV80l3Df6GM4ZFEzyCqKnInYVHvjvdJaIzopbPv1C-rm8Ksq0Cldkg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":113989141,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989141/thumbnails/1.jpg","file_name":"ecs2.pdf","download_url":"https://www.academia.edu/attachments/113989141/download_file","bulk_download_file_name":"Microbial_and_organic_matter_patterns_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989141/ecs2-libre.pdf?1714495849=\u0026response-content-disposition=attachment%3B+filename%3DMicrobial_and_organic_matter_patterns_in.pdf\u0026Expires=1741872619\u0026Signature=TW--rSx5QJd7ax1Ukcc9aOi~spFQKV7VzTt1ZeqPnIODO1b68d4M1dOXAzJvQxokq-8NQBsByCpxQHH4IUc18d6lPiGxe1szOyBnk~RUuH2V6z3CX3-5pgyJA8cPdr1KV9iDDpNlOlG69u9VPO1D3NInIgNXqfFhZgGGrZJSWChBEvV5xU6VAySLRB~0IX9Ey~hvYjXWYkO5tqI3ENtBCQmYwudFXoR3Ier5itZz1~OhEnXs2FG8JNd4j-CjeR7oUn0txQik8AHKztDoYzJX2-B0VBKAdJ5i6UdTOtSSBz43T5IxO6QRhbW1MiuaQ-RZGUamPdUF1qMx6TfIoZ0y9A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":173,"name":"Zoology","url":"https://www.academia.edu/Documents/in/Zoology"},{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":1037,"name":"Agronomy","url":"https://www.academia.edu/Documents/in/Agronomy"},{"id":2312,"name":"Ecosystem Services","url":"https://www.academia.edu/Documents/in/Ecosystem_Services"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":96525,"name":"Thinning","url":"https://www.academia.edu/Documents/in/Thinning"},{"id":173028,"name":"Soil organic matter","url":"https://www.academia.edu/Documents/in/Soil_organic_matter"},{"id":194454,"name":"Soil Carbon","url":"https://www.academia.edu/Documents/in/Soil_Carbon"},{"id":373754,"name":"Ecosystem","url":"https://www.academia.edu/Documents/in/Ecosystem"},{"id":843856,"name":"Ecological Applications","url":"https://www.academia.edu/Documents/in/Ecological_Applications"},{"id":970387,"name":"Organic Matter","url":"https://www.academia.edu/Documents/in/Organic_Matter"},{"id":2110527,"name":"Ecosphere","url":"https://www.academia.edu/Documents/in/Ecosphere"},{"id":4009956,"name":"nutrient cycle","url":"https://www.academia.edu/Documents/in/nutrient_cycle"}],"urls":[{"id":41532231,"url":"https://esajournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ecs2.1962"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338527"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/118338527/Symbiotic_soybean_in_acidified_soil"><img alt="Research paper thumbnail of Symbiotic soybean in acidified soil" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/118338527/Symbiotic_soybean_in_acidified_soil">Symbiotic soybean in acidified soil</a></div><div class="wp-workCard_item"><span>Springer eBooks</span><span>, 1991</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Field experiments were conducted to examine the effects of acidic soil on the soybean (Glycine ma...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Field experiments were conducted to examine the effects of acidic soil on the soybean (Glycine max (L.) Merr.)/Bradyrhizobium japonicum symbiosis. Essex and Fayette soybean cultivars were grown in Lowell soil acidified with Al2(SO4)lin3 (Al-soil) or elemental S (S-soil). Plants were inoculated with commercial or locally isolated B. japonicum, supplied with inorganic N, or grown without supplemental N. Acidifying the soil significantly (P ⩽ 0.05) decreased shoot dry weights and nodulation of inoculated plants, whereas shoot dry weights of N-fertilized plants were not significantly affected. Extracts of Al-soil contained more Al than those of S-soil, whereas extracts of S-soil contained more Mn and P. There were no significant differences in shoot weight, nodule dry weight, or nodule number between treatments in Al-soil and S-soil at similar pH (i.e., pH 4.8 or 5.2). It was concluded that acidified soil affected the symbiosis more than the plant. These effects may have been due to H-ion toxicity as opposed to Al or Mn toxicity or P deficiency.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338527"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338527"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338527; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338527]").text(description); $(".js-view-count[data-work-id=118338527]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338527; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338527']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=118338527]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338527,"title":"Symbiotic soybean in acidified soil","translated_title":"","metadata":{"abstract":"Field experiments were conducted to examine the effects of acidic soil on the soybean (Glycine max (L.) Merr.)/Bradyrhizobium japonicum symbiosis. Essex and Fayette soybean cultivars were grown in Lowell soil acidified with Al2(SO4)lin3 (Al-soil) or elemental S (S-soil). Plants were inoculated with commercial or locally isolated B. japonicum, supplied with inorganic N, or grown without supplemental N. Acidifying the soil significantly (P ⩽ 0.05) decreased shoot dry weights and nodulation of inoculated plants, whereas shoot dry weights of N-fertilized plants were not significantly affected. Extracts of Al-soil contained more Al than those of S-soil, whereas extracts of S-soil contained more Mn and P. There were no significant differences in shoot weight, nodule dry weight, or nodule number between treatments in Al-soil and S-soil at similar pH (i.e., pH 4.8 or 5.2). It was concluded that acidified soil affected the symbiosis more than the plant. These effects may have been due to H-ion toxicity as opposed to Al or Mn toxicity or P deficiency.","publisher":"Springer Nature","publication_date":{"day":null,"month":null,"year":1991,"errors":{}},"publication_name":"Springer eBooks"},"translated_abstract":"Field experiments were conducted to examine the effects of acidic soil on the soybean (Glycine max (L.) Merr.)/Bradyrhizobium japonicum symbiosis. Essex and Fayette soybean cultivars were grown in Lowell soil acidified with Al2(SO4)lin3 (Al-soil) or elemental S (S-soil). Plants were inoculated with commercial or locally isolated B. japonicum, supplied with inorganic N, or grown without supplemental N. Acidifying the soil significantly (P ⩽ 0.05) decreased shoot dry weights and nodulation of inoculated plants, whereas shoot dry weights of N-fertilized plants were not significantly affected. Extracts of Al-soil contained more Al than those of S-soil, whereas extracts of S-soil contained more Mn and P. There were no significant differences in shoot weight, nodule dry weight, or nodule number between treatments in Al-soil and S-soil at similar pH (i.e., pH 4.8 or 5.2). It was concluded that acidified soil affected the symbiosis more than the plant. These effects may have been due to H-ion toxicity as opposed to Al or Mn toxicity or P deficiency.","internal_url":"https://www.academia.edu/118338527/Symbiotic_soybean_in_acidified_soil","translated_internal_url":"","created_at":"2024-04-30T09:43:31.430-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Symbiotic_soybean_in_acidified_soil","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Field experiments were conducted to examine the effects of acidic soil on the soybean (Glycine max (L.) Merr.)/Bradyrhizobium japonicum symbiosis. Essex and Fayette soybean cultivars were grown in Lowell soil acidified with Al2(SO4)lin3 (Al-soil) or elemental S (S-soil). Plants were inoculated with commercial or locally isolated B. japonicum, supplied with inorganic N, or grown without supplemental N. Acidifying the soil significantly (P ⩽ 0.05) decreased shoot dry weights and nodulation of inoculated plants, whereas shoot dry weights of N-fertilized plants were not significantly affected. Extracts of Al-soil contained more Al than those of S-soil, whereas extracts of S-soil contained more Mn and P. There were no significant differences in shoot weight, nodule dry weight, or nodule number between treatments in Al-soil and S-soil at similar pH (i.e., pH 4.8 or 5.2). It was concluded that acidified soil affected the symbiosis more than the plant. These effects may have been due to H-ion toxicity as opposed to Al or Mn toxicity or P deficiency.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":1037,"name":"Agronomy","url":"https://www.academia.edu/Documents/in/Agronomy"},{"id":7043,"name":"Symbiosis","url":"https://www.academia.edu/Documents/in/Symbiosis"},{"id":413804,"name":"Inoculation","url":"https://www.academia.edu/Documents/in/Inoculation"},{"id":529001,"name":"Bradyrhizobium","url":"https://www.academia.edu/Documents/in/Bradyrhizobium"},{"id":2150526,"name":"Shoot","url":"https://www.academia.edu/Documents/in/Shoot"},{"id":2471742,"name":"Dry Weight","url":"https://www.academia.edu/Documents/in/Dry_Weight"},{"id":3647879,"name":"Springer Ebooks","url":"https://www.academia.edu/Documents/in/Springer_Ebooks"}],"urls":[{"id":41532230,"url":"https://doi.org/10.1007/978-94-011-3438-5_73"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338526"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338526/Validation_of_Soil_Enzyme_Activity_Assay_for_a_Biogeochemical_Cycling_Index_in_Biochar_Amended_Soils"><img alt="Research paper thumbnail of Validation of Soil Enzyme Activity Assay for a Biogeochemical Cycling Index in Biochar Amended Soils" class="work-thumbnail" src="https://attachments.academia-assets.com/113989171/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338526/Validation_of_Soil_Enzyme_Activity_Assay_for_a_Biogeochemical_Cycling_Index_in_Biochar_Amended_Soils">Validation of Soil Enzyme Activity Assay for a Biogeochemical Cycling Index in Biochar Amended Soils</a></div><div class="wp-workCard_item"><span>Advances in Enzyme Research</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Biochar offers several benefits as a soil amendment, including increased soil fertility, carbon s...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Biochar offers several benefits as a soil amendment, including increased soil fertility, carbon sequestration, and water-holding capacity in nutrient-poor soils. Here, we performed a series of enzyme assays on pine biochar-amended soils, comparing multiple enzyme activities (EAs) simultaneously determined in the same soil sample vs. the sum of individual EAs involved in the C, N, S, and P cycles to provide information of the impacts of biochar on biogeochemical cycling. The combination of these four EAs has been considered an indicator of soil health due to their role in the reactions that release bioavailable nutrients in the cycling of C (β-glucosidase), N and C (β-glucosaminidase), P (acid phosphomonoesterase), and S (arylsulfatase) in soils. Comparisons of the theoretical EAs and the CNPS activity assay approaches in the biochar-modified soil revealed similar activity trends with the different concentrations of added biochar. Two years after adding biochar, study results showed the amended soils did not retain more pNP substrate than the un-amended control soils in three different pH buffers (5.5, 5.8, and 6.5) commonly used in EA reactions. Finally, we performed a third experiment to determine if the biochar previously added to the EAs interfered with the reactions' enzyme or substrate. The results indicated that greater activity was measured using the combined assay, which suggests the CNPS activity method was less affected by biochar than the individual EAs. Our findings indicate that the potential soil biochemical-health index, CNPS activity (combination of four enzymes) assay is more robust than the individual EAs and can be used as an alternative tool to monitor soil functioning.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8b005d0cfc15ca90c23acb883903537b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989171,"asset_id":118338526,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989171/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338526"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338526"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338526; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338526]").text(description); $(".js-view-count[data-work-id=118338526]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338526; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338526']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8b005d0cfc15ca90c23acb883903537b" } } $('.js-work-strip[data-work-id=118338526]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338526,"title":"Validation of Soil Enzyme Activity Assay for a Biogeochemical Cycling Index in Biochar Amended Soils","translated_title":"","metadata":{"publisher":"Scientific Research Publishing","grobid_abstract":"Biochar offers several benefits as a soil amendment, including increased soil fertility, carbon sequestration, and water-holding capacity in nutrient-poor soils. Here, we performed a series of enzyme assays on pine biochar-amended soils, comparing multiple enzyme activities (EAs) simultaneously determined in the same soil sample vs. the sum of individual EAs involved in the C, N, S, and P cycles to provide information of the impacts of biochar on biogeochemical cycling. The combination of these four EAs has been considered an indicator of soil health due to their role in the reactions that release bioavailable nutrients in the cycling of C (β-glucosidase), N and C (β-glucosaminidase), P (acid phosphomonoesterase), and S (arylsulfatase) in soils. Comparisons of the theoretical EAs and the CNPS activity assay approaches in the biochar-modified soil revealed similar activity trends with the different concentrations of added biochar. Two years after adding biochar, study results showed the amended soils did not retain more pNP substrate than the un-amended control soils in three different pH buffers (5.5, 5.8, and 6.5) commonly used in EA reactions. Finally, we performed a third experiment to determine if the biochar previously added to the EAs interfered with the reactions' enzyme or substrate. The results indicated that greater activity was measured using the combined assay, which suggests the CNPS activity method was less affected by biochar than the individual EAs. Our findings indicate that the potential soil biochemical-health index, CNPS activity (combination of four enzymes) assay is more robust than the individual EAs and can be used as an alternative tool to monitor soil functioning.","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Advances in Enzyme Research","grobid_abstract_attachment_id":113989171},"translated_abstract":null,"internal_url":"https://www.academia.edu/118338526/Validation_of_Soil_Enzyme_Activity_Assay_for_a_Biogeochemical_Cycling_Index_in_Biochar_Amended_Soils","translated_internal_url":"","created_at":"2024-04-30T09:43:31.241-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113989171,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989171/thumbnails/1.jpg","file_name":"PaperDownload.pdf","download_url":"https://www.academia.edu/attachments/113989171/download_file","bulk_download_file_name":"Validation_of_Soil_Enzyme_Activity_Assay.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989171/PaperDownload-libre.pdf?1714495857=\u0026response-content-disposition=attachment%3B+filename%3DValidation_of_Soil_Enzyme_Activity_Assay.pdf\u0026Expires=1741937400\u0026Signature=BnXvdmudwjJew048MYUGxQQEyYOzXK0bxcDklYIcx1IoWHAMX3JeONcGIKAMIxUpq3s0jn-2Ji2lLj7mx15GDcKXunSgUvVvSAU3W25FzrEf4GsOkhLJwXHs10sKASveet~mYj2r8EzyS1RbdVOY-T1r8A5vlk1e6PXyeJ8q0w7qTLoEOJv6O3T6FwADNQ~1MBPzpCiBx0qZ8KwmqtJnmrbj-rkqavotSpHYEP9W0g9-SdAoeXWdcbxUQEaQ~0Z1T8K8Tx-y3Hio7sJQXS~O8KerFO1Gb~aZS~FLCghXxlHv8GnReIt~eAPqpPpnLSBncYEjUjt7-4kOk7qfgSoTfQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Validation_of_Soil_Enzyme_Activity_Assay_for_a_Biogeochemical_Cycling_Index_in_Biochar_Amended_Soils","translated_slug":"","page_count":13,"language":"en","content_type":"Work","summary":"Biochar offers several benefits as a soil amendment, including increased soil fertility, carbon sequestration, and water-holding capacity in nutrient-poor soils. Here, we performed a series of enzyme assays on pine biochar-amended soils, comparing multiple enzyme activities (EAs) simultaneously determined in the same soil sample vs. the sum of individual EAs involved in the C, N, S, and P cycles to provide information of the impacts of biochar on biogeochemical cycling. The combination of these four EAs has been considered an indicator of soil health due to their role in the reactions that release bioavailable nutrients in the cycling of C (β-glucosidase), N and C (β-glucosaminidase), P (acid phosphomonoesterase), and S (arylsulfatase) in soils. Comparisons of the theoretical EAs and the CNPS activity assay approaches in the biochar-modified soil revealed similar activity trends with the different concentrations of added biochar. Two years after adding biochar, study results showed the amended soils did not retain more pNP substrate than the un-amended control soils in three different pH buffers (5.5, 5.8, and 6.5) commonly used in EA reactions. Finally, we performed a third experiment to determine if the biochar previously added to the EAs interfered with the reactions' enzyme or substrate. The results indicated that greater activity was measured using the combined assay, which suggests the CNPS activity method was less affected by biochar than the individual EAs. Our findings indicate that the potential soil biochemical-health index, CNPS activity (combination of four enzymes) assay is more robust than the individual EAs and can be used as an alternative tool to monitor soil functioning.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":113989171,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989171/thumbnails/1.jpg","file_name":"PaperDownload.pdf","download_url":"https://www.academia.edu/attachments/113989171/download_file","bulk_download_file_name":"Validation_of_Soil_Enzyme_Activity_Assay.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989171/PaperDownload-libre.pdf?1714495857=\u0026response-content-disposition=attachment%3B+filename%3DValidation_of_Soil_Enzyme_Activity_Assay.pdf\u0026Expires=1741937400\u0026Signature=BnXvdmudwjJew048MYUGxQQEyYOzXK0bxcDklYIcx1IoWHAMX3JeONcGIKAMIxUpq3s0jn-2Ji2lLj7mx15GDcKXunSgUvVvSAU3W25FzrEf4GsOkhLJwXHs10sKASveet~mYj2r8EzyS1RbdVOY-T1r8A5vlk1e6PXyeJ8q0w7qTLoEOJv6O3T6FwADNQ~1MBPzpCiBx0qZ8KwmqtJnmrbj-rkqavotSpHYEP9W0g9-SdAoeXWdcbxUQEaQ~0Z1T8K8Tx-y3Hio7sJQXS~O8KerFO1Gb~aZS~FLCghXxlHv8GnReIt~eAPqpPpnLSBncYEjUjt7-4kOk7qfgSoTfQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":10023,"name":"BIOCHAR","url":"https://www.academia.edu/Documents/in/BIOCHAR"},{"id":15836,"name":"Environmental Chemistry","url":"https://www.academia.edu/Documents/in/Environmental_Chemistry"},{"id":231661,"name":"Enzyme","url":"https://www.academia.edu/Documents/in/Enzyme"},{"id":993489,"name":"Amendment","url":"https://www.academia.edu/Documents/in/Amendment"},{"id":1222799,"name":"Soil Water","url":"https://www.academia.edu/Documents/in/Soil_Water"},{"id":4023440,"name":"Biogeochemical Cycle","url":"https://www.academia.edu/Documents/in/Biogeochemical_Cycle"}],"urls":[{"id":41532229,"url":"https://doi.org/10.4236/aer.2022.103004"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338525"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338525/Long_Term_Cropping_System_Tillage_and_Poultry_Litter_Application_Affect_the_Chemical_Properties_of_an_Alabama_Ultisol"><img alt="Research paper thumbnail of Long-Term Cropping System, Tillage, and Poultry Litter Application Affect the Chemical Properties of an Alabama Ultisol" class="work-thumbnail" src="https://attachments.academia-assets.com/113989169/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338525/Long_Term_Cropping_System_Tillage_and_Poultry_Litter_Application_Affect_the_Chemical_Properties_of_an_Alabama_Ultisol">Long-Term Cropping System, Tillage, and Poultry Litter Application Affect the Chemical Properties of an Alabama Ultisol</a></div><div class="wp-workCard_item"><span>Pedosphere</span><span>, Apr 1, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Sustainable agricultural practices have been steadily increasing in the last couple of decades. T...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Sustainable agricultural practices have been steadily increasing in the last couple of decades. These management practices frequently involve cover crops, less or no-tillage, and organic fertilization. In this study, we evaluated the effects of cropping systems, tillage and no-tillage, and the application of poultry litter (PL) on selected soil physicochemical properties and soil test nutrients. Soil samples were collected from the topmost surface (0-5 cm) and subsurface (5-10 cm) layers. The general effect trend was PL application > no-tillage > cover crop > cropping type. There were more statistically significant (P ≤ 0.05) correlations between the 18 soil attributes at the topmost surface than at the subsurface. This could be due to the accumulation of external C inputs and nutrients by crop residues and PL application as well as the retaining effects of no-tillage on less mobile nutrient components. Because of their high mobility and volatile nature, total nitrogen (N), ammonia-N (NH + 4-N), and nitrate-N (NO − 3-N) levels varied greatly (high standard deviations), showing no consistent patterns among the treatments. Compared to the soybean cropping system, corn, especially with the wheat cover crop, contributed more to the total carbon (C) and sulfur (S) in the topmost surface soils (0-5 cm). Poultry litter application greatly increased pH, cation exchange capacity (CEC), base saturation, magnesium (Mg), phosphorus (P), calcium (Ca), sodium (Na), potassium (K), manganese (Mn), copper (Cu), and zinc (Zn) in both soil layers. Contrast comparisons revealed that PL application had more of an effect on these soil chemical properties than no-tillage and cropping systems. These results will shed light on developing better nutrient management practices while reducing their runoff potentials.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e5ff4ebcd486f98771d68523ca715906" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989169,"asset_id":118338525,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989169/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338525"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338525"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338525; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338525]").text(description); $(".js-view-count[data-work-id=118338525]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338525; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338525']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e5ff4ebcd486f98771d68523ca715906" } } $('.js-work-strip[data-work-id=118338525]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338525,"title":"Long-Term Cropping System, Tillage, and Poultry Litter Application Affect the Chemical Properties of an Alabama Ultisol","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Sustainable agricultural practices have been steadily increasing in the last couple of decades. These management practices frequently involve cover crops, less or no-tillage, and organic fertilization. In this study, we evaluated the effects of cropping systems, tillage and no-tillage, and the application of poultry litter (PL) on selected soil physicochemical properties and soil test nutrients. Soil samples were collected from the topmost surface (0-5 cm) and subsurface (5-10 cm) layers. The general effect trend was PL application \u003e no-tillage \u003e cover crop \u003e cropping type. There were more statistically significant (P ≤ 0.05) correlations between the 18 soil attributes at the topmost surface than at the subsurface. This could be due to the accumulation of external C inputs and nutrients by crop residues and PL application as well as the retaining effects of no-tillage on less mobile nutrient components. Because of their high mobility and volatile nature, total nitrogen (N), ammonia-N (NH + 4-N), and nitrate-N (NO − 3-N) levels varied greatly (high standard deviations), showing no consistent patterns among the treatments. Compared to the soybean cropping system, corn, especially with the wheat cover crop, contributed more to the total carbon (C) and sulfur (S) in the topmost surface soils (0-5 cm). Poultry litter application greatly increased pH, cation exchange capacity (CEC), base saturation, magnesium (Mg), phosphorus (P), calcium (Ca), sodium (Na), potassium (K), manganese (Mn), copper (Cu), and zinc (Zn) in both soil layers. Contrast comparisons revealed that PL application had more of an effect on these soil chemical properties than no-tillage and cropping systems. These results will shed light on developing better nutrient management practices while reducing their runoff potentials.","publication_date":{"day":1,"month":4,"year":2019,"errors":{}},"publication_name":"Pedosphere","grobid_abstract_attachment_id":113989169},"translated_abstract":null,"internal_url":"https://www.academia.edu/118338525/Long_Term_Cropping_System_Tillage_and_Poultry_Litter_Application_Affect_the_Chemical_Properties_of_an_Alabama_Ultisol","translated_internal_url":"","created_at":"2024-04-30T09:43:31.050-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113989169,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989169/thumbnails/1.jpg","file_name":"S1002-016028192960797-620240430-1-6zqtp.pdf","download_url":"https://www.academia.edu/attachments/113989169/download_file","bulk_download_file_name":"Long_Term_Cropping_System_Tillage_and_Po.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989169/S1002-016028192960797-620240430-1-6zqtp-libre.pdf?1714495866=\u0026response-content-disposition=attachment%3B+filename%3DLong_Term_Cropping_System_Tillage_and_Po.pdf\u0026Expires=1741937401\u0026Signature=CN-DHqtMnVrgTrXv8QtTqxu-hgUGXeQMEZHfH6azOU729yOPEaELxHSJhpvMpuFsBRYKqL3G~3l2y~aL~IanjcT5jTtyFyzkavTWQy01jgU2JYeTwreS485e2Sfi3eU7myPmxu9xelmfuKAUIsc1FMjkuFjBxTQiBdWdGthFXYoXejTn-Jpa95T7amon7RIRY4SQwb7lOyAJ0lx7AfAm67tCB2b1VBVvBFynRugzeUgf6aRgAwcI799TMSmLXCx6frRYEaQdVi9KVPyWk4pnmfLDSt-rDoDTWdAJTtWEh8~aqEoHWw~Sl-JQIIgWlqcqWEbrMz1BCUbhfsc1U0F6oQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Long_Term_Cropping_System_Tillage_and_Poultry_Litter_Application_Affect_the_Chemical_Properties_of_an_Alabama_Ultisol","translated_slug":"","page_count":15,"language":"en","content_type":"Work","summary":"Sustainable agricultural practices have been steadily increasing in the last couple of decades. These management practices frequently involve cover crops, less or no-tillage, and organic fertilization. In this study, we evaluated the effects of cropping systems, tillage and no-tillage, and the application of poultry litter (PL) on selected soil physicochemical properties and soil test nutrients. Soil samples were collected from the topmost surface (0-5 cm) and subsurface (5-10 cm) layers. The general effect trend was PL application \u003e no-tillage \u003e cover crop \u003e cropping type. There were more statistically significant (P ≤ 0.05) correlations between the 18 soil attributes at the topmost surface than at the subsurface. This could be due to the accumulation of external C inputs and nutrients by crop residues and PL application as well as the retaining effects of no-tillage on less mobile nutrient components. Because of their high mobility and volatile nature, total nitrogen (N), ammonia-N (NH + 4-N), and nitrate-N (NO − 3-N) levels varied greatly (high standard deviations), showing no consistent patterns among the treatments. Compared to the soybean cropping system, corn, especially with the wheat cover crop, contributed more to the total carbon (C) and sulfur (S) in the topmost surface soils (0-5 cm). Poultry litter application greatly increased pH, cation exchange capacity (CEC), base saturation, magnesium (Mg), phosphorus (P), calcium (Ca), sodium (Na), potassium (K), manganese (Mn), copper (Cu), and zinc (Zn) in both soil layers. Contrast comparisons revealed that PL application had more of an effect on these soil chemical properties than no-tillage and cropping systems. These results will shed light on developing better nutrient management practices while reducing their runoff potentials.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":113989169,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989169/thumbnails/1.jpg","file_name":"S1002-016028192960797-620240430-1-6zqtp.pdf","download_url":"https://www.academia.edu/attachments/113989169/download_file","bulk_download_file_name":"Long_Term_Cropping_System_Tillage_and_Po.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989169/S1002-016028192960797-620240430-1-6zqtp-libre.pdf?1714495866=\u0026response-content-disposition=attachment%3B+filename%3DLong_Term_Cropping_System_Tillage_and_Po.pdf\u0026Expires=1741937401\u0026Signature=CN-DHqtMnVrgTrXv8QtTqxu-hgUGXeQMEZHfH6azOU729yOPEaELxHSJhpvMpuFsBRYKqL3G~3l2y~aL~IanjcT5jTtyFyzkavTWQy01jgU2JYeTwreS485e2Sfi3eU7myPmxu9xelmfuKAUIsc1FMjkuFjBxTQiBdWdGthFXYoXejTn-Jpa95T7amon7RIRY4SQwb7lOyAJ0lx7AfAm67tCB2b1VBVvBFynRugzeUgf6aRgAwcI799TMSmLXCx6frRYEaQdVi9KVPyWk4pnmfLDSt-rDoDTWdAJTtWEh8~aqEoHWw~Sl-JQIIgWlqcqWEbrMz1BCUbhfsc1U0F6oQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":1037,"name":"Agronomy","url":"https://www.academia.edu/Documents/in/Agronomy"},{"id":5541,"name":"Plant Biology","url":"https://www.academia.edu/Documents/in/Plant_Biology"},{"id":217324,"name":"Soil sciences","url":"https://www.academia.edu/Documents/in/Soil_sciences"},{"id":244969,"name":"Nutrient","url":"https://www.academia.edu/Documents/in/Nutrient"},{"id":525320,"name":"Tillage","url":"https://www.academia.edu/Documents/in/Tillage"},{"id":525326,"name":"Conventional tillage","url":"https://www.academia.edu/Documents/in/Conventional_tillage"},{"id":1211959,"name":"Ultisol","url":"https://www.academia.edu/Documents/in/Ultisol"},{"id":1819335,"name":"Cover Crop","url":"https://www.academia.edu/Documents/in/Cover_Crop"}],"urls":[{"id":41532228,"url":"https://doi.org/10.1016/s1002-0160(19)60797-6"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338524"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/118338524/Inhibitory_effects_of_acidic_minesoil_on_the_sericea_lespedeza_Bradyrhizobiumsymbiotic_relationship1"><img alt="Research paper thumbnail of Inhibitory effects of acidic minesoil on the sericea lespedeza/Bradyrhizobiumsymbiotic relationship1" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/118338524/Inhibitory_effects_of_acidic_minesoil_on_the_sericea_lespedeza_Bradyrhizobiumsymbiotic_relationship1">Inhibitory effects of acidic minesoil on the sericea lespedeza/Bradyrhizobiumsymbiotic relationship1</a></div><div class="wp-workCard_item"><span>Journal of Plant Nutrition</span><span>, Sep 1, 1993</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... Hartel et al. (27) concluded that acidic, Al-rich soil affected nodulation but was not a majo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">... Hartel et al. (27) concluded that acidic, Al-rich soil affected nodulation but was not a major factor in the survival of cowpea Bradyrhizobium (same classification group as lespedeza Brady-rhizobium). Multiplication rates measured ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338524"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338524"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338524; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338524]").text(description); $(".js-view-count[data-work-id=118338524]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338524; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338524']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=118338524]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338524,"title":"Inhibitory effects of acidic minesoil on the sericea lespedeza/Bradyrhizobiumsymbiotic relationship1","translated_title":"","metadata":{"abstract":"... Hartel et al. (27) concluded that acidic, Al-rich soil affected nodulation but was not a major factor in the survival of cowpea Bradyrhizobium (same classification group as lespedeza Brady-rhizobium). Multiplication rates measured ...","publisher":"Marcel Dekker","publication_date":{"day":1,"month":9,"year":1993,"errors":{}},"publication_name":"Journal of Plant Nutrition"},"translated_abstract":"... Hartel et al. (27) concluded that acidic, Al-rich soil affected nodulation but was not a major factor in the survival of cowpea Bradyrhizobium (same classification group as lespedeza Brady-rhizobium). Multiplication rates measured ...","internal_url":"https://www.academia.edu/118338524/Inhibitory_effects_of_acidic_minesoil_on_the_sericea_lespedeza_Bradyrhizobiumsymbiotic_relationship1","translated_internal_url":"","created_at":"2024-04-30T09:43:30.848-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Inhibitory_effects_of_acidic_minesoil_on_the_sericea_lespedeza_Bradyrhizobiumsymbiotic_relationship1","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"... Hartel et al. (27) concluded that acidic, Al-rich soil affected nodulation but was not a major factor in the survival of cowpea Bradyrhizobium (same classification group as lespedeza Brady-rhizobium). Multiplication rates measured ...","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":1037,"name":"Agronomy","url":"https://www.academia.edu/Documents/in/Agronomy"},{"id":5541,"name":"Plant Biology","url":"https://www.academia.edu/Documents/in/Plant_Biology"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":23546,"name":"Plant Nutrition","url":"https://www.academia.edu/Documents/in/Plant_Nutrition"},{"id":53108,"name":"Phosphorus","url":"https://www.academia.edu/Documents/in/Phosphorus"},{"id":63551,"name":"Nitrogen Fixation","url":"https://www.academia.edu/Documents/in/Nitrogen_Fixation"},{"id":151091,"name":"Nitrogen","url":"https://www.academia.edu/Documents/in/Nitrogen"},{"id":158597,"name":"Iron","url":"https://www.academia.edu/Documents/in/Iron"},{"id":160656,"name":"Potassium","url":"https://www.academia.edu/Documents/in/Potassium"},{"id":217324,"name":"Soil sciences","url":"https://www.academia.edu/Documents/in/Soil_sciences"},{"id":529001,"name":"Bradyrhizobium","url":"https://www.academia.edu/Documents/in/Bradyrhizobium"},{"id":576427,"name":"soil pH","url":"https://www.academia.edu/Documents/in/soil_pH"},{"id":630941,"name":"Calcium Carbonate","url":"https://www.academia.edu/Documents/in/Calcium_Carbonate"},{"id":763080,"name":"Soil Acidification","url":"https://www.academia.edu/Documents/in/Soil_Acidification"},{"id":2150526,"name":"Shoot","url":"https://www.academia.edu/Documents/in/Shoot"}],"urls":[{"id":41532227,"url":"https://doi.org/10.1080/01904169309364657"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338523"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338523/Effects_of_Management_Practices_and_Land_Use_on_Biological_and_Enzymatic_Attributes_of_an_Agricultural_Area"><img alt="Research paper thumbnail of Effects of Management Practices and Land Use on Biological and Enzymatic Attributes of an Agricultural Area" class="work-thumbnail" src="https://attachments.academia-assets.com/113989167/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338523/Effects_of_Management_Practices_and_Land_Use_on_Biological_and_Enzymatic_Attributes_of_an_Agricultural_Area">Effects of Management Practices and Land Use on Biological and Enzymatic Attributes of an Agricultural Area</a></div><div class="wp-workCard_item"><span>Journal of Agricultural Science</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A series of anthropogenic approaches, including burning practices and soil disturbances as soil c...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A series of anthropogenic approaches, including burning practices and soil disturbances as soil cover removal, plowing and harrowing were experimentally undertaken to mimic land conversion for agricultural production in northern Amazonia. These manipulations led to changes in soil biological and biochemical properties. To reduce knowledge gaps concerning land conversion in the Amazon, the study objective was to evaluate the influence of land use and management practices on the biological attributes and enzymatic activity of the soil in Tepequem, a settlement in north of the Amazon, Brazil. Tepequem was chosen for being highly representative in terms of land use and management patterns in the region. Microbial biomass carbon (MBC), soil basal respiration (SBR), metabolic quotient (qCO2) and enzymatic activity were analyzed. Land use changes resulted in alterations to soil quality. The spontaneous plants found on degraded pasture ensured system diversification, protection and organic ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4b30b0f5fa3371c17d819a84fc50ed0d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989167,"asset_id":118338523,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989167/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338523"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338523"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338523; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338523]").text(description); $(".js-view-count[data-work-id=118338523]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338523; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338523']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "4b30b0f5fa3371c17d819a84fc50ed0d" } } $('.js-work-strip[data-work-id=118338523]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338523,"title":"Effects of Management Practices and Land Use on Biological and Enzymatic Attributes of an Agricultural Area","translated_title":"","metadata":{"abstract":"A series of anthropogenic approaches, including burning practices and soil disturbances as soil cover removal, plowing and harrowing were experimentally undertaken to mimic land conversion for agricultural production in northern Amazonia. 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The spontaneous plants found on degraded pasture ensured system diversification, protection and organic ...","publisher":"Canadian Center of Science and Education","ai_title_tag":"Impact of Land Use on Soil Biology in Northern Amazonia","publication_name":"Journal of Agricultural Science"},"translated_abstract":"A series of anthropogenic approaches, including burning practices and soil disturbances as soil cover removal, plowing and harrowing were experimentally undertaken to mimic land conversion for agricultural production in northern Amazonia. These manipulations led to changes in soil biological and biochemical properties. To reduce knowledge gaps concerning land conversion in the Amazon, the study objective was to evaluate the influence of land use and management practices on the biological attributes and enzymatic activity of the soil in Tepequem, a settlement in north of the Amazon, Brazil. Tepequem was chosen for being highly representative in terms of land use and management patterns in the region. Microbial biomass carbon (MBC), soil basal respiration (SBR), metabolic quotient (qCO2) and enzymatic activity were analyzed. Land use changes resulted in alterations to soil quality. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338520"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338520/Soil_bacterial_diversities_and_response_to_deforestation_land_use_and_burning_in_North_Amazon_Brazil"><img alt="Research paper thumbnail of Soil bacterial diversities and response to deforestation, land use and burning in North Amazon, Brazil" class="work-thumbnail" src="https://attachments.academia-assets.com/113989168/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338520/Soil_bacterial_diversities_and_response_to_deforestation_land_use_and_burning_in_North_Amazon_Brazil">Soil bacterial diversities and response to deforestation, land use and burning in North Amazon, Brazil</a></div><div class="wp-workCard_item"><span>Applied Soil Ecology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The biodiversity in Amazon forest soils is continuously challenged by anthropogenic activities or...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The biodiversity in Amazon forest soils is continuously challenged by anthropogenic activities or disturbances, impacting the quantity and quality of its natural resources and a wide range of ecosystem services. Understanding microbial processes and response to various soil management practices provide valuable information to maintain sustainable ecological environments. We hypothesized that microbial assemblages (several not yet identified) and activities are continuously changing in forest ecosystems, mostly due to management selections. Therefore, our work's objective was to assess bacteria communities' changes via next-generation sequencing techniques and bridge knowledge gaps in our understanding of their responses to deforestations, intensive agriculture, and repeated forest burning activities in altered and native forest locations in the Northern Amazon Rainforest, Brazil. We evaluated soils during different climatic periods (dry and rainy) collected at selected sites for pasture, conventional agriculture, and forestry. Intensive conversion to pasture and conventional plantations seriously impacted the bacterial diversities and species richness. The forest area presented the greatest bacterial diversities and species richness, followed by the pasture areas, especially in the 0-5 cm soil layer. Conventional plantations showed the lowest diversities and species richness. There was no change in species richness between the dry and rainy periods; however, the wet period showed lesser species diversities. Based on the analyses, the bacterial communities comprised of the phyla: Acidobacteria, Firmicutes, Verrucomicrobia, Actinobacteria, Proteobacteria, Planctomycetes, and Cyanobacteria. Bacteria trends identified are being considered in future management decisions to preserve biodiversities and the region's forest ecosystems' functioning.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3af3abe8802212b0dbd0b6bb3f02cfb1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989168,"asset_id":118338520,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989168/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338520"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338520"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338520; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338520]").text(description); $(".js-view-count[data-work-id=118338520]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338520; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338520']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3af3abe8802212b0dbd0b6bb3f02cfb1" } } $('.js-work-strip[data-work-id=118338520]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338520,"title":"Soil bacterial diversities and response to deforestation, land use and burning in North Amazon, Brazil","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"The biodiversity in Amazon forest soils is continuously challenged by anthropogenic activities or disturbances, impacting the quantity and quality of its natural resources and a wide range of ecosystem services. 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The forest area presented the greatest bacterial diversities and species richness, followed by the pasture areas, especially in the 0-5 cm soil layer. Conventional plantations showed the lowest diversities and species richness. There was no change in species richness between the dry and rainy periods; however, the wet period showed lesser species diversities. Based on the analyses, the bacterial communities comprised of the phyla: Acidobacteria, Firmicutes, Verrucomicrobia, Actinobacteria, Proteobacteria, Planctomycetes, and Cyanobacteria. 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Understanding microbial processes and response to various soil management practices provide valuable information to maintain sustainable ecological environments. We hypothesized that microbial assemblages (several not yet identified) and activities are continuously changing in forest ecosystems, mostly due to management selections. Therefore, our work's objective was to assess bacteria communities' changes via next-generation sequencing techniques and bridge knowledge gaps in our understanding of their responses to deforestations, intensive agriculture, and repeated forest burning activities in altered and native forest locations in the Northern Amazon Rainforest, Brazil. We evaluated soils during different climatic periods (dry and rainy) collected at selected sites for pasture, conventional agriculture, and forestry. Intensive conversion to pasture and conventional plantations seriously impacted the bacterial diversities and species richness. The forest area presented the greatest bacterial diversities and species richness, followed by the pasture areas, especially in the 0-5 cm soil layer. Conventional plantations showed the lowest diversities and species richness. There was no change in species richness between the dry and rainy periods; however, the wet period showed lesser species diversities. Based on the analyses, the bacterial communities comprised of the phyla: Acidobacteria, Firmicutes, Verrucomicrobia, Actinobacteria, Proteobacteria, Planctomycetes, and Cyanobacteria. Bacteria trends identified are being considered in future management decisions to preserve biodiversities and the region's forest ecosystems' functioning.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":113989168,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989168/thumbnails/1.jpg","file_name":"j.apsoil.2020.10377520240430-1-5umzsc.pdf","download_url":"https://www.academia.edu/attachments/113989168/download_file","bulk_download_file_name":"Soil_bacterial_diversities_and_response.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989168/j.apsoil.2020.10377520240430-1-5umzsc-libre.pdf?1714495854=\u0026response-content-disposition=attachment%3B+filename%3DSoil_bacterial_diversities_and_response.pdf\u0026Expires=1741937401\u0026Signature=JGZvHss03G2j~eeTgzuh3GgTv~sDWbVXVkPjfp71BF~77gCt7rTkpHxVrKa35vjfliVYt-vrEvQ01qkQlH8m3aZ~IXaru3vwPzI4qWl-7J6YL1nsPliiG0tDE8c0wBCiiWs-m1sBQcQYUJepmVQ0-J6H7nQiBgbr3zC3Bd-Kjk6LdzWdmq5EyXr5rTWsKOk~36sCgvfhDXp0C17RBR1yv7SPl89XhIq9ekycQ37VKCDv2xkOEdHSYAv5omfO4aNN9Mm7fFRu-xdGE3VJwTJi-l6u-HouoQDD9rz150Z1Cx7madXV95v1yadQGi5Wj8LOo3lR5PA70iS4sU5EiSfi5w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":8510,"name":"Agroforestry","url":"https://www.academia.edu/Documents/in/Agroforestry"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":17825,"name":"Biodiversity","url":"https://www.academia.edu/Documents/in/Biodiversity"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":199056,"name":"Species Richness","url":"https://www.academia.edu/Documents/in/Species_Richness"},{"id":373754,"name":"Ecosystem","url":"https://www.academia.edu/Documents/in/Ecosystem"},{"id":373781,"name":"Amazon rainforest","url":"https://www.academia.edu/Documents/in/Amazon_rainforest"}],"urls":[{"id":41532224,"url":"https://api.elsevier.com/content/article/PII:S0929139320307046?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338519"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338519/Seasonal_changes_in_phosphorus_and_phosphatase_compositions_in_soils_enriched_with_poultry_litter"><img alt="Research paper thumbnail of Seasonal changes in phosphorus and phosphatase compositions in soils enriched with poultry litter" class="work-thumbnail" src="https://attachments.academia-assets.com/113989138/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338519/Seasonal_changes_in_phosphorus_and_phosphatase_compositions_in_soils_enriched_with_poultry_litter">Seasonal changes in phosphorus and phosphatase compositions in soils enriched with poultry litter</a></div><div class="wp-workCard_item"><span>Journal of Food Agriculture & Environment</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Season and soil depth may play an important role in phosphorus (P) dynamics and mineralization in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Season and soil depth may play an important role in phosphorus (P) dynamics and mineralization in soil because of changes in soil moisture, temperature and microbial activity. This study was conducted to quantify P fractions and enzymatic activity from poultry litter (PL) application as affected by soil depth and time of application. Poultry litter was applied at the rate of 15.75 Mg ha-1 yr-1 based on N requirement of bermudagrass for maximum growth. Phosphorus distribution among different fractions (Al-, Fe- and Ca-bound; organic P and residual) was extracted sequentially. Results showed that P fractions were significantly affected by season and soil depth (P&lt;0.01). Phosphorus fractions varied within season and soil depth with less P measured on the topsoil for early spring application. There was little P movement down to 10 cm depth. Enzyme activities were affected by the soil depth in the first year but no significant differences occurred in the second year. The smallest enzy...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ad63b799e588a444781f8aac8473ae7b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989138,"asset_id":118338519,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989138/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338519"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338519"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338519; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338519]").text(description); $(".js-view-count[data-work-id=118338519]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338519; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338519']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ad63b799e588a444781f8aac8473ae7b" } } $('.js-work-strip[data-work-id=118338519]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338519,"title":"Seasonal changes in phosphorus and phosphatase compositions in soils enriched with poultry litter","translated_title":"","metadata":{"abstract":"Season and soil depth may play an important role in phosphorus (P) dynamics and mineralization in soil because of changes in soil moisture, temperature and microbial activity. This study was conducted to quantify P fractions and enzymatic activity from poultry litter (PL) application as affected by soil depth and time of application. Poultry litter was applied at the rate of 15.75 Mg ha-1 yr-1 based on N requirement of bermudagrass for maximum growth. Phosphorus distribution among different fractions (Al-, Fe- and Ca-bound; organic P and residual) was extracted sequentially. Results showed that P fractions were significantly affected by season and soil depth (P\u0026lt;0.01). Phosphorus fractions varied within season and soil depth with less P measured on the topsoil for early spring application. There was little P movement down to 10 cm depth. Enzyme activities were affected by the soil depth in the first year but no significant differences occurred in the second year. The smallest enzy...","publication_date":{"day":null,"month":null,"year":2008,"errors":{}},"publication_name":"Journal of Food Agriculture \u0026 Environment"},"translated_abstract":"Season and soil depth may play an important role in phosphorus (P) dynamics and mineralization in soil because of changes in soil moisture, temperature and microbial activity. This study was conducted to quantify P fractions and enzymatic activity from poultry litter (PL) application as affected by soil depth and time of application. Poultry litter was applied at the rate of 15.75 Mg ha-1 yr-1 based on N requirement of bermudagrass for maximum growth. Phosphorus distribution among different fractions (Al-, Fe- and Ca-bound; organic P and residual) was extracted sequentially. Results showed that P fractions were significantly affected by season and soil depth (P\u0026lt;0.01). Phosphorus fractions varied within season and soil depth with less P measured on the topsoil for early spring application. There was little P movement down to 10 cm depth. Enzyme activities were affected by the soil depth in the first year but no significant differences occurred in the second year. The smallest enzy...","internal_url":"https://www.academia.edu/118338519/Seasonal_changes_in_phosphorus_and_phosphatase_compositions_in_soils_enriched_with_poultry_litter","translated_internal_url":"","created_at":"2024-04-30T09:43:30.019-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113989138,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989138/thumbnails/1.jpg","file_name":"PDF.pdf","download_url":"https://www.academia.edu/attachments/113989138/download_file","bulk_download_file_name":"Seasonal_changes_in_phosphorus_and_phosp.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989138/PDF-libre.pdf?1714495850=\u0026response-content-disposition=attachment%3B+filename%3DSeasonal_changes_in_phosphorus_and_phosp.pdf\u0026Expires=1741937401\u0026Signature=RQXCTBWMmMt54o73Icy0xbxfa3Oc5bGJ0V5zoaofKaF-3mFuIQuR4PemBFG70Lml6Zfo8GTlR0eiO9f5ucC0EgPYVI9NtzbV1b6CY~ujs5xx-tPKQ~48DvWS2IrS3nMzDSN8tCQftPSBIaUMfl~tAclafUU7uDdDxUmGqLlAs6OMkQ3p5QyYHEoCgxowc0GMVQiju74-Oh73iPYvxaVlt6EAxU5gI39uykuvYY3dS~nsqvIucpezqlMbcE24qD2rKN4PwEekTHCJVa-As1tpKs1d473QzMIH5FzEHDQByPOyFo-JdJHarEg8qkHPAUfG1wnCnkh5BOgrhOIZmeffeA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Seasonal_changes_in_phosphorus_and_phosphatase_compositions_in_soils_enriched_with_poultry_litter","translated_slug":"","page_count":6,"language":"en","content_type":"Work","summary":"Season and soil depth may play an important role in phosphorus (P) dynamics and mineralization in soil because of changes in soil moisture, temperature and microbial activity. This study was conducted to quantify P fractions and enzymatic activity from poultry litter (PL) application as affected by soil depth and time of application. Poultry litter was applied at the rate of 15.75 Mg ha-1 yr-1 based on N requirement of bermudagrass for maximum growth. Phosphorus distribution among different fractions (Al-, Fe- and Ca-bound; organic P and residual) was extracted sequentially. Results showed that P fractions were significantly affected by season and soil depth (P\u0026lt;0.01). Phosphorus fractions varied within season and soil depth with less P measured on the topsoil for early spring application. There was little P movement down to 10 cm depth. Enzyme activities were affected by the soil depth in the first year but no significant differences occurred in the second year. The smallest enzy...","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":113989138,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989138/thumbnails/1.jpg","file_name":"PDF.pdf","download_url":"https://www.academia.edu/attachments/113989138/download_file","bulk_download_file_name":"Seasonal_changes_in_phosphorus_and_phosp.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989138/PDF-libre.pdf?1714495850=\u0026response-content-disposition=attachment%3B+filename%3DSeasonal_changes_in_phosphorus_and_phosp.pdf\u0026Expires=1741937401\u0026Signature=RQXCTBWMmMt54o73Icy0xbxfa3Oc5bGJ0V5zoaofKaF-3mFuIQuR4PemBFG70Lml6Zfo8GTlR0eiO9f5ucC0EgPYVI9NtzbV1b6CY~ujs5xx-tPKQ~48DvWS2IrS3nMzDSN8tCQftPSBIaUMfl~tAclafUU7uDdDxUmGqLlAs6OMkQ3p5QyYHEoCgxowc0GMVQiju74-Oh73iPYvxaVlt6EAxU5gI39uykuvYY3dS~nsqvIucpezqlMbcE24qD2rKN4PwEekTHCJVa-As1tpKs1d473QzMIH5FzEHDQByPOyFo-JdJHarEg8qkHPAUfG1wnCnkh5BOgrhOIZmeffeA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":113989139,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989139/thumbnails/1.jpg","file_name":"PDF.pdf","download_url":"https://www.academia.edu/attachments/113989139/download_file","bulk_download_file_name":"Seasonal_changes_in_phosphorus_and_phosp.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989139/PDF-libre.pdf?1714495851=\u0026response-content-disposition=attachment%3B+filename%3DSeasonal_changes_in_phosphorus_and_phosp.pdf\u0026Expires=1741937401\u0026Signature=Juz1H1VPODms0Ub5VVG-ruYFRAP8UCMGTJrHLLrSJIG6MBMVIcKBPxLjfmqC~ek~2ORIWGRiiP-IvbZfuHxTm7ntnqkj7XPPkVLK6vT4oS2oxvK9~6r11zx7JIwGNPBjTVlK4ZBJouB257twhlytdwLzgbMw6kNJzphM0xd00XUMl6LoksbWiTWz~j8XIqT-kXk~31pedUZA8KVMLntGaOrEvXiq7XADh73EsbQlKg0y~oaAiaBte5evon2yP0REyTCSt-k~R12Bk7~jIa6KFN4A5iZw-MxWvd1U2ChDnBTTDdKkPMz6zTbfGPMVaGZbNP2d9DimKPSQ~zpTUEHYLg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":53108,"name":"Phosphorus","url":"https://www.academia.edu/Documents/in/Phosphorus"},{"id":188993,"name":"Litter","url":"https://www.academia.edu/Documents/in/Litter"},{"id":661329,"name":"Poultry Litter","url":"https://www.academia.edu/Documents/in/Poultry_Litter"},{"id":793816,"name":"Topsoil","url":"https://www.academia.edu/Documents/in/Topsoil"},{"id":1208706,"name":"Environment","url":"https://www.academia.edu/Documents/in/Environment"},{"id":1222799,"name":"Soil Water","url":"https://www.academia.edu/Documents/in/Soil_Water"}],"urls":[{"id":41532223,"url":"https://naldc.nal.usda.gov/download/31128/PDF"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338518"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338518/Microbial_Compositions_and_Enzymes_of_a_Forest_Ecosystem_in_Alabama_Initial_Response_to_Thinning_and_Burning_Management_Selections"><img alt="Research paper thumbnail of Microbial Compositions and Enzymes of a Forest Ecosystem in Alabama: Initial Response to Thinning and Burning Management Selections" class="work-thumbnail" src="https://attachments.academia-assets.com/113989166/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338518/Microbial_Compositions_and_Enzymes_of_a_Forest_Ecosystem_in_Alabama_Initial_Response_to_Thinning_and_Burning_Management_Selections">Microbial Compositions and Enzymes of a Forest Ecosystem in Alabama: Initial Response to Thinning and Burning Management Selections</a></div><div class="wp-workCard_item"><span>Open Journal of Forestry</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Prescribed burning and tree thinning are commonly used restoration practices for US forests manag...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Prescribed burning and tree thinning are commonly used restoration practices for US forests management to increase forest productivity and enhance plant and animal diversity. The impact of these practices in Alabama's Bankhead National Forest (BNF) to soil microbial components and overall forest soil health are unknown. We hypothesized that microbial assemblages and enzyme activities are continuously changing in forest ecosystems especially due to management selections. Therefore, the objective of this study was to assess changes in microbial community compositions (fungal vs bacterial populations) via fatty acid methyl ester (FAME) profiling and several enzyme activities (β-glucosaminidase, acid phosphatase, arylsulfatase, β-glucosidase, xylanase, laccase, and manganese peroxidase) critical to soil organic matter (SOM) dynamics and biogeochemical cycling. In this forest, heavily-thinned plots without burning or less frequent burning treatments seemed to provide more favorable conditions (higher pH and lower C:N ratios) for C and N mineralization. This may explain a slight increase (by 12%) detected in fungi:bacteria (F:B) ratio in the heavily-thinned plots relative to the control. Thinned (lightly and heavily) plots showed greater ligninolytic (laccase and MnP) activities and lower β-glucosidase and β-glucosaminidase activities compared to the no-thinned plots probably due to increase depositions of woody recalcitrant C materials. We observed significant but negative correla</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d4426f9a0b1d284e4b8cde6d81993297" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989166,"asset_id":118338518,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989166/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338518"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338518"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338518; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338518]").text(description); $(".js-view-count[data-work-id=118338518]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338518; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338518']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d4426f9a0b1d284e4b8cde6d81993297" } } $('.js-work-strip[data-work-id=118338518]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338518,"title":"Microbial Compositions and Enzymes of a Forest Ecosystem in Alabama: Initial Response to Thinning and Burning Management Selections","translated_title":"","metadata":{"publisher":"Scientific Research Publishing, Inc.","grobid_abstract":"Prescribed burning and tree thinning are commonly used restoration practices for US forests management to increase forest productivity and enhance plant and animal diversity. The impact of these practices in Alabama's Bankhead National Forest (BNF) to soil microbial components and overall forest soil health are unknown. We hypothesized that microbial assemblages and enzyme activities are continuously changing in forest ecosystems especially due to management selections. Therefore, the objective of this study was to assess changes in microbial community compositions (fungal vs bacterial populations) via fatty acid methyl ester (FAME) profiling and several enzyme activities (β-glucosaminidase, acid phosphatase, arylsulfatase, β-glucosidase, xylanase, laccase, and manganese peroxidase) critical to soil organic matter (SOM) dynamics and biogeochemical cycling. In this forest, heavily-thinned plots without burning or less frequent burning treatments seemed to provide more favorable conditions (higher pH and lower C:N ratios) for C and N mineralization. This may explain a slight increase (by 12%) detected in fungi:bacteria (F:B) ratio in the heavily-thinned plots relative to the control. Thinned (lightly and heavily) plots showed greater ligninolytic (laccase and MnP) activities and lower β-glucosidase and β-glucosaminidase activities compared to the no-thinned plots probably due to increase depositions of woody recalcitrant C materials. 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The impact of these practices in Alabama's Bankhead National Forest (BNF) to soil microbial components and overall forest soil health are unknown. We hypothesized that microbial assemblages and enzyme activities are continuously changing in forest ecosystems especially due to management selections. Therefore, the objective of this study was to assess changes in microbial community compositions (fungal vs bacterial populations) via fatty acid methyl ester (FAME) profiling and several enzyme activities (β-glucosaminidase, acid phosphatase, arylsulfatase, β-glucosidase, xylanase, laccase, and manganese peroxidase) critical to soil organic matter (SOM) dynamics and biogeochemical cycling. In this forest, heavily-thinned plots without burning or less frequent burning treatments seemed to provide more favorable conditions (higher pH and lower C:N ratios) for C and N mineralization. This may explain a slight increase (by 12%) detected in fungi:bacteria (F:B) ratio in the heavily-thinned plots relative to the control. Thinned (lightly and heavily) plots showed greater ligninolytic (laccase and MnP) activities and lower β-glucosidase and β-glucosaminidase activities compared to the no-thinned plots probably due to increase depositions of woody recalcitrant C materials. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338516"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338516/Potentials_for_Soil_Enzyme_as_Indicators_of_Ecological_Management"><img alt="Research paper thumbnail of Potentials for Soil Enzyme as Indicators of Ecological Management" class="work-thumbnail" src="https://attachments.academia-assets.com/113989165/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338516/Potentials_for_Soil_Enzyme_as_Indicators_of_Ecological_Management">Potentials for Soil Enzyme as Indicators of Ecological Management</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Activity measurements of selected soil enzymes (cellulase, glucosidase, amidohydrolase, phosphata...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Activity measurements of selected soil enzymes (cellulase, glucosidase, amidohydrolase, phosphatase, arylsulfatase) involved in carbon, nitrogen, phosphorus, and sulfur cycling in the biosphere, hold potential as early and sensitive indicators of soil ecological stress and restoration, These measurements are advantageous because the procedures are simple, rapid, and reproducible over time. Enzyme activities are sensitive to short-term changes in soil and kind-use management. Enzyme activities have also been observed to be closely related to soil organic matter proposed as an index of soil quality.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a0ed454e5034812bf02f8e860affd947" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989165,"asset_id":118338516,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989165/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338516"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338516"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338516; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338516]").text(description); $(".js-view-count[data-work-id=118338516]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338516; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338516']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a0ed454e5034812bf02f8e860affd947" } } $('.js-work-strip[data-work-id=118338516]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338516,"title":"Potentials for Soil Enzyme as Indicators of Ecological Management","translated_title":"","metadata":{"abstract":"Activity measurements of selected soil enzymes (cellulase, glucosidase, amidohydrolase, phosphatase, arylsulfatase) involved in carbon, nitrogen, phosphorus, and sulfur cycling in the biosphere, hold potential as early and sensitive indicators of soil ecological stress and restoration, These measurements are advantageous because the procedures are simple, rapid, and reproducible over time. Enzyme activities are sensitive to short-term changes in soil and kind-use management. Enzyme activities have also been observed to be closely related to soil organic matter proposed as an index of soil quality.","ai_title_tag":"Soil Enzyme Activities as Ecological Indicators"},"translated_abstract":"Activity measurements of selected soil enzymes (cellulase, glucosidase, amidohydrolase, phosphatase, arylsulfatase) involved in carbon, nitrogen, phosphorus, and sulfur cycling in the biosphere, hold potential as early and sensitive indicators of soil ecological stress and restoration, These measurements are advantageous because the procedures are simple, rapid, and reproducible over time. Enzyme activities are sensitive to short-term changes in soil and kind-use management. Enzyme activities have also been observed to be closely related to soil organic matter proposed as an index of soil quality.","internal_url":"https://www.academia.edu/118338516/Potentials_for_Soil_Enzyme_as_Indicators_of_Ecological_Management","translated_internal_url":"","created_at":"2024-04-30T09:43:29.613-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113989165,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989165/thumbnails/1.jpg","file_name":"20010000509.pdf","download_url":"https://www.academia.edu/attachments/113989165/download_file","bulk_download_file_name":"Potentials_for_Soil_Enzyme_as_Indicators.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989165/20010000509-libre.pdf?1714495848=\u0026response-content-disposition=attachment%3B+filename%3DPotentials_for_Soil_Enzyme_as_Indicators.pdf\u0026Expires=1741937401\u0026Signature=Me2DPuJulu4SbZKeKurrTlYlOVyzBokzKtfthQ7~FrTmbsB8SQGXx4M2sLwBjmrPIHfctGU~8BYBZoIWiMlq2dPImE8iWoVfEFAc2zYur3LpfWjWPa74gqvwDC37SddJjvhA9IJH-ZNvdkWKVdFiK-DxDso5x-Vx2lS2wd8IXgMgx83ImiCG-2R7MicItkW3QrGrg5MeqI44Fd04vV3tiac9tYsGVCrHDfD-BXYPIO7tn9v~POeWEXS2RYw8XcIAdeq9wpYFMzfSrsKhEU7tqaNrMHCJVWV7bMClfziPHq5PKMhrPdaehCndsw7h5bgsklHc3JvnKPG11tmnMyvC3w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Potentials_for_Soil_Enzyme_as_Indicators_of_Ecological_Management","translated_slug":"","page_count":5,"language":"en","content_type":"Work","summary":"Activity measurements of selected soil enzymes (cellulase, glucosidase, amidohydrolase, phosphatase, arylsulfatase) involved in carbon, nitrogen, phosphorus, and sulfur cycling in the biosphere, hold potential as early and sensitive indicators of soil ecological stress and restoration, These measurements are advantageous because the procedures are simple, rapid, and reproducible over time. 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IGARSS'99 (Cat. No.99CH36293)</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Knowledge of the spatial and temporal distribution of soil moisture under a variety of l...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Knowledge of the spatial and temporal distribution of soil moisture under a variety of landscapes and soil conditions is essential for the proper management and utilization of available water. The spatial distribution of soil moisture in the field is often related to the heterogeneity of soil hydraulic and other physical properties. During the Southern Great Plains Hydrology Experiment (1997) in Oklahoma, time domain reflectometry (TDR) measurements were made on a full-section wheat field, open rangeland, and a field dominated with sodic soils along 7 transects spaced at 100 meters. The spacing between sampling points along the transects was also 100 m. Six rainfall events occurred during the 24-day measurement period. Soil moisture content ranged from 0.3 to 0.70 cm3/cm3 in the field during the experiment. Time series analysis showed no significant difference in surface soil moisture between the rangeland and harvested wheat fields. They were consistently drier than the sandy, bare sodic soils. The standard deviation decreased with decreasing soil moisture in the sodic soils and cut wheat fields. The coefficient of variation decreased with increasing soil water content. Results of this study will aid in the development of hydrological and land surface models</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338515"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338515"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338515; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338515]").text(description); $(".js-view-count[data-work-id=118338515]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338515; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338515']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=118338515]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338515,"title":"Soil moisture variability on the landscape as a function of land use: implication for remote sensing of surface soil moisture","translated_title":"","metadata":{"abstract":"ABSTRACT Knowledge of the spatial and temporal distribution of soil moisture under a variety of landscapes and soil conditions is essential for the proper management and utilization of available water. The spatial distribution of soil moisture in the field is often related to the heterogeneity of soil hydraulic and other physical properties. During the Southern Great Plains Hydrology Experiment (1997) in Oklahoma, time domain reflectometry (TDR) measurements were made on a full-section wheat field, open rangeland, and a field dominated with sodic soils along 7 transects spaced at 100 meters. The spacing between sampling points along the transects was also 100 m. Six rainfall events occurred during the 24-day measurement period. Soil moisture content ranged from 0.3 to 0.70 cm3/cm3 in the field during the experiment. Time series analysis showed no significant difference in surface soil moisture between the rangeland and harvested wheat fields. They were consistently drier than the sandy, bare sodic soils. The standard deviation decreased with decreasing soil moisture in the sodic soils and cut wheat fields. The coefficient of variation decreased with increasing soil water content. Results of this study will aid in the development of hydrological and land surface models","publication_name":"IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)"},"translated_abstract":"ABSTRACT Knowledge of the spatial and temporal distribution of soil moisture under a variety of landscapes and soil conditions is essential for the proper management and utilization of available water. The spatial distribution of soil moisture in the field is often related to the heterogeneity of soil hydraulic and other physical properties. During the Southern Great Plains Hydrology Experiment (1997) in Oklahoma, time domain reflectometry (TDR) measurements were made on a full-section wheat field, open rangeland, and a field dominated with sodic soils along 7 transects spaced at 100 meters. The spacing between sampling points along the transects was also 100 m. Six rainfall events occurred during the 24-day measurement period. Soil moisture content ranged from 0.3 to 0.70 cm3/cm3 in the field during the experiment. Time series analysis showed no significant difference in surface soil moisture between the rangeland and harvested wheat fields. They were consistently drier than the sandy, bare sodic soils. The standard deviation decreased with decreasing soil moisture in the sodic soils and cut wheat fields. The coefficient of variation decreased with increasing soil water content. Results of this study will aid in the development of hydrological and land surface models","internal_url":"https://www.academia.edu/118338515/Soil_moisture_variability_on_the_landscape_as_a_function_of_land_use_implication_for_remote_sensing_of_surface_soil_moisture","translated_internal_url":"","created_at":"2024-04-30T09:43:29.482-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Soil_moisture_variability_on_the_landscape_as_a_function_of_land_use_implication_for_remote_sensing_of_surface_soil_moisture","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"ABSTRACT Knowledge of the spatial and temporal distribution of soil moisture under a variety of landscapes and soil conditions is essential for the proper management and utilization of available water. The spatial distribution of soil moisture in the field is often related to the heterogeneity of soil hydraulic and other physical properties. During the Southern Great Plains Hydrology Experiment (1997) in Oklahoma, time domain reflectometry (TDR) measurements were made on a full-section wheat field, open rangeland, and a field dominated with sodic soils along 7 transects spaced at 100 meters. The spacing between sampling points along the transects was also 100 m. Six rainfall events occurred during the 24-day measurement period. Soil moisture content ranged from 0.3 to 0.70 cm3/cm3 in the field during the experiment. Time series analysis showed no significant difference in surface soil moisture between the rangeland and harvested wheat fields. They were consistently drier than the sandy, bare sodic soils. The standard deviation decreased with decreasing soil moisture in the sodic soils and cut wheat fields. The coefficient of variation decreased with increasing soil water content. Results of this study will aid in the development of hydrological and land surface models","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":421,"name":"Soil Science","url":"https://www.academia.edu/Documents/in/Soil_Science"},{"id":162644,"name":"Transect","url":"https://www.academia.edu/Documents/in/Transect"},{"id":241820,"name":"Spatial Variability","url":"https://www.academia.edu/Documents/in/Spatial_Variability"},{"id":845678,"name":"Water Content","url":"https://www.academia.edu/Documents/in/Water_Content"},{"id":1222799,"name":"Soil Water","url":"https://www.academia.edu/Documents/in/Soil_Water"},{"id":1828336,"name":"Field capacity","url":"https://www.academia.edu/Documents/in/Field_capacity"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338514"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/118338514/Effect_of_Management_Systems_on_Nitrogen_Mineralization_and_Nitrification_in_Soils"><img alt="Research paper thumbnail of Effect of Management Systems on Nitrogen Mineralization and Nitrification in Soils" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/118338514/Effect_of_Management_Systems_on_Nitrogen_Mineralization_and_Nitrification_in_Soils">Effect of Management Systems on Nitrogen Mineralization and Nitrification in Soils</a></div><div class="wp-workCard_item"><span>Communications in Soil Science and Plant Analysis</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Nitrogen (N) management and spatial variability of soils have received considerable atte...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Nitrogen (N) management and spatial variability of soils have received considerable attention in recent years. The effect of long‐term cropping systems on net N mineralization was studied in soils obtained from replicated plots from two sites: Galva‐Webster Research Center (CWRC site) at Kanawha and Galva‐Primghar Research Center (GPRC site) at Sutherland in Iowa, USA. Each experiment consisted of three cropping systems: continuous corn (CCCC), corn‐soybean‐corn‐soybean (CSCS), and corn‐oats‐meadow‐meadow (COMM), and treated before corn with (+N) and without (0N) ammoniacal fertilizer. Other studies involved assessing the effect of eight lime application rates (0–17,920 kg ha effective calcium carbonate equivalent, ECCE) on net N mineralization and nitrification in soils at the Northeast Research Center (NERC site) at Nashua, Iowa. The means of cumulative N mineralized at 30°C for 24 weeks in soils from the CWRC and GPRC sites, expressed as percentage of organic N, were generally greater in N‐treated plots than in control plots. The greatest amounts of N mineralized were in soils from the COMM rotation plots. Application of the log transformation of the data to calculate the potential mineralizable N (No) and the first‐order constants (k) showed that the data obeyed the exponential equation model. Expressed as percentages of total organic N in soils, the cumulative amounts of N mineralized ranged from 2.7 to 3.4% at 20°C and from 5.8 to 7.5% at 30°C. The cumulative amounts of N mineralized at 20°C and 30°C in soils from the plots under CSCS rotation were not affected by lime application. The Q10 values of N mineralization ranged from 1.9 to 2.2. Increasing the rate of lime application decreased the No values at 20°C, but not at 30°C. Liming soils markedly increased the nitrification rate, from 27% of the NH4 ‐N added for untreated soils (0 kg ECCE ha) to 76% for the soil treated with 17920 kg ECCE ha. N mineralization and nitrification rates varied among the replicated plots.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338514"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338514"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338514; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338514]").text(description); $(".js-view-count[data-work-id=118338514]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338514; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338514']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=118338514]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338514,"title":"Effect of Management Systems on Nitrogen Mineralization and Nitrification in Soils","translated_title":"","metadata":{"abstract":"ABSTRACT Nitrogen (N) management and spatial variability of soils have received considerable attention in recent years. The effect of long‐term cropping systems on net N mineralization was studied in soils obtained from replicated plots from two sites: Galva‐Webster Research Center (CWRC site) at Kanawha and Galva‐Primghar Research Center (GPRC site) at Sutherland in Iowa, USA. Each experiment consisted of three cropping systems: continuous corn (CCCC), corn‐soybean‐corn‐soybean (CSCS), and corn‐oats‐meadow‐meadow (COMM), and treated before corn with (+N) and without (0N) ammoniacal fertilizer. Other studies involved assessing the effect of eight lime application rates (0–17,920 kg ha effective calcium carbonate equivalent, ECCE) on net N mineralization and nitrification in soils at the Northeast Research Center (NERC site) at Nashua, Iowa. The means of cumulative N mineralized at 30°C for 24 weeks in soils from the CWRC and GPRC sites, expressed as percentage of organic N, were generally greater in N‐treated plots than in control plots. The greatest amounts of N mineralized were in soils from the COMM rotation plots. Application of the log transformation of the data to calculate the potential mineralizable N (No) and the first‐order constants (k) showed that the data obeyed the exponential equation model. Expressed as percentages of total organic N in soils, the cumulative amounts of N mineralized ranged from 2.7 to 3.4% at 20°C and from 5.8 to 7.5% at 30°C. The cumulative amounts of N mineralized at 20°C and 30°C in soils from the plots under CSCS rotation were not affected by lime application. The Q10 values of N mineralization ranged from 1.9 to 2.2. Increasing the rate of lime application decreased the No values at 20°C, but not at 30°C. Liming soils markedly increased the nitrification rate, from 27% of the NH4 ‐N added for untreated soils (0 kg ECCE ha) to 76% for the soil treated with 17920 kg ECCE ha. N mineralization and nitrification rates varied among the replicated plots.","publisher":"Informa UK Limited","publication_date":{"day":null,"month":null,"year":2005,"errors":{}},"publication_name":"Communications in Soil Science and Plant Analysis"},"translated_abstract":"ABSTRACT Nitrogen (N) management and spatial variability of soils have received considerable attention in recent years. The effect of long‐term cropping systems on net N mineralization was studied in soils obtained from replicated plots from two sites: Galva‐Webster Research Center (CWRC site) at Kanawha and Galva‐Primghar Research Center (GPRC site) at Sutherland in Iowa, USA. Each experiment consisted of three cropping systems: continuous corn (CCCC), corn‐soybean‐corn‐soybean (CSCS), and corn‐oats‐meadow‐meadow (COMM), and treated before corn with (+N) and without (0N) ammoniacal fertilizer. Other studies involved assessing the effect of eight lime application rates (0–17,920 kg ha effective calcium carbonate equivalent, ECCE) on net N mineralization and nitrification in soils at the Northeast Research Center (NERC site) at Nashua, Iowa. The means of cumulative N mineralized at 30°C for 24 weeks in soils from the CWRC and GPRC sites, expressed as percentage of organic N, were generally greater in N‐treated plots than in control plots. The greatest amounts of N mineralized were in soils from the COMM rotation plots. Application of the log transformation of the data to calculate the potential mineralizable N (No) and the first‐order constants (k) showed that the data obeyed the exponential equation model. Expressed as percentages of total organic N in soils, the cumulative amounts of N mineralized ranged from 2.7 to 3.4% at 20°C and from 5.8 to 7.5% at 30°C. The cumulative amounts of N mineralized at 20°C and 30°C in soils from the plots under CSCS rotation were not affected by lime application. The Q10 values of N mineralization ranged from 1.9 to 2.2. Increasing the rate of lime application decreased the No values at 20°C, but not at 30°C. Liming soils markedly increased the nitrification rate, from 27% of the NH4 ‐N added for untreated soils (0 kg ECCE ha) to 76% for the soil treated with 17920 kg ECCE ha. N mineralization and nitrification rates varied among the replicated plots.","internal_url":"https://www.academia.edu/118338514/Effect_of_Management_Systems_on_Nitrogen_Mineralization_and_Nitrification_in_Soils","translated_internal_url":"","created_at":"2024-04-30T09:43:29.215-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Effect_of_Management_Systems_on_Nitrogen_Mineralization_and_Nitrification_in_Soils","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"ABSTRACT Nitrogen (N) management and spatial variability of soils have received considerable attention in recent years. The effect of long‐term cropping systems on net N mineralization was studied in soils obtained from replicated plots from two sites: Galva‐Webster Research Center (CWRC site) at Kanawha and Galva‐Primghar Research Center (GPRC site) at Sutherland in Iowa, USA. Each experiment consisted of three cropping systems: continuous corn (CCCC), corn‐soybean‐corn‐soybean (CSCS), and corn‐oats‐meadow‐meadow (COMM), and treated before corn with (+N) and without (0N) ammoniacal fertilizer. Other studies involved assessing the effect of eight lime application rates (0–17,920 kg ha effective calcium carbonate equivalent, ECCE) on net N mineralization and nitrification in soils at the Northeast Research Center (NERC site) at Nashua, Iowa. The means of cumulative N mineralized at 30°C for 24 weeks in soils from the CWRC and GPRC sites, expressed as percentage of organic N, were generally greater in N‐treated plots than in control plots. The greatest amounts of N mineralized were in soils from the COMM rotation plots. Application of the log transformation of the data to calculate the potential mineralizable N (No) and the first‐order constants (k) showed that the data obeyed the exponential equation model. Expressed as percentages of total organic N in soils, the cumulative amounts of N mineralized ranged from 2.7 to 3.4% at 20°C and from 5.8 to 7.5% at 30°C. The cumulative amounts of N mineralized at 20°C and 30°C in soils from the plots under CSCS rotation were not affected by lime application. The Q10 values of N mineralization ranged from 1.9 to 2.2. Increasing the rate of lime application decreased the No values at 20°C, but not at 30°C. Liming soils markedly increased the nitrification rate, from 27% of the NH4 ‐N added for untreated soils (0 kg ECCE ha) to 76% for the soil treated with 17920 kg ECCE ha. N mineralization and nitrification rates varied among the replicated plots.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":1037,"name":"Agronomy","url":"https://www.academia.edu/Documents/in/Agronomy"},{"id":5541,"name":"Plant Biology","url":"https://www.academia.edu/Documents/in/Plant_Biology"},{"id":20807,"name":"Nitrogen Cycle","url":"https://www.academia.edu/Documents/in/Nitrogen_Cycle"},{"id":70381,"name":"Nitrification","url":"https://www.academia.edu/Documents/in/Nitrification"},{"id":158596,"name":"Fertilizer","url":"https://www.academia.edu/Documents/in/Fertilizer"},{"id":217324,"name":"Soil sciences","url":"https://www.academia.edu/Documents/in/Soil_sciences"},{"id":841116,"name":"Lime","url":"https://www.academia.edu/Documents/in/Lime"},{"id":1222799,"name":"Soil Water","url":"https://www.academia.edu/Documents/in/Soil_Water"}],"urls":[{"id":41532221,"url":"http://www.tandfonline.com/doi/pdf/10.1081/CSS-200056942"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="118338499"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/118338499/Enzymatic_Hydrolysis_of_an_Organic_Sulfur_Compound"><img alt="Research paper thumbnail of Enzymatic Hydrolysis of an Organic Sulfur Compound" class="work-thumbnail" src="https://attachments.academia-assets.com/113989147/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/118338499/Enzymatic_Hydrolysis_of_an_Organic_Sulfur_Compound">Enzymatic Hydrolysis of an Organic Sulfur Compound</a></div><div class="wp-workCard_item"><span>Advances in Enzyme Research</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Sulfatases which cleave sulfate esters in biological systems are key enzymes that deserve special...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Sulfatases which cleave sulfate esters in biological systems are key enzymes that deserve special attention due to their significant roles in organic sulfur (OS) mineralization and inorganic sulfur (2 4 SO −) release. In this study, in-vitro experiments were conducted to evaluate S bonded substrate hydrolysis by a commercially available arylsulfatase (EC 3.1.6.1) from Aerobacter aerogenes. The enzyme-substrate interactions were assessed to determine: 1) rate of hydrolysis, 2) catalytic efficiency, 3) thermal stability, and 4) optimal pH of this enzyme. Arylsulfatase exhibited substrate hydrolysis with a high affinity for p-nitrophenyl sulfate (potassium 4-nitrophenyl sulfate (pNPS)). The optimum activity for the enzyme was observed to occur at a pH of 7.1. The optimal temperature was 37˚C but ranged from 35˚C-45˚C. The apparent K m and K cat of the enzyme for pNPS hydrolysis at the optimal pH, and temperature were determined to be 1.03 mM and 75.73 µM/min, respectively. This work defines the catalytic and kinetic properties of arylsulfatase (EC 3.1.6.1) and confirms the optimal conditions for sulfatase activity testing. The resulting information is useful in elucidating the contributions that individual enzymes have for specific reactions rather than relying on traditional total enzyme activity measurements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9bbe3cabc6a4f163e6099491f1f37d58" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":113989147,"asset_id":118338499,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/113989147/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="118338499"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="118338499"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 118338499; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=118338499]").text(description); $(".js-view-count[data-work-id=118338499]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 118338499; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='118338499']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9bbe3cabc6a4f163e6099491f1f37d58" } } $('.js-work-strip[data-work-id=118338499]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":118338499,"title":"Enzymatic Hydrolysis of an Organic Sulfur Compound","translated_title":"","metadata":{"publisher":"Scientific Research Publishing","ai_title_tag":"Characterization of Arylsulfatase in Organic Sulfur Hydrolysis","grobid_abstract":"Sulfatases which cleave sulfate esters in biological systems are key enzymes that deserve special attention due to their significant roles in organic sulfur (OS) mineralization and inorganic sulfur (2 4 SO −) release. In this study, in-vitro experiments were conducted to evaluate S bonded substrate hydrolysis by a commercially available arylsulfatase (EC 3.1.6.1) from Aerobacter aerogenes. The enzyme-substrate interactions were assessed to determine: 1) rate of hydrolysis, 2) catalytic efficiency, 3) thermal stability, and 4) optimal pH of this enzyme. Arylsulfatase exhibited substrate hydrolysis with a high affinity for p-nitrophenyl sulfate (potassium 4-nitrophenyl sulfate (pNPS)). The optimum activity for the enzyme was observed to occur at a pH of 7.1. The optimal temperature was 37˚C but ranged from 35˚C-45˚C. The apparent K m and K cat of the enzyme for pNPS hydrolysis at the optimal pH, and temperature were determined to be 1.03 mM and 75.73 µM/min, respectively. This work defines the catalytic and kinetic properties of arylsulfatase (EC 3.1.6.1) and confirms the optimal conditions for sulfatase activity testing. The resulting information is useful in elucidating the contributions that individual enzymes have for specific reactions rather than relying on traditional total enzyme activity measurements.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Advances in Enzyme Research","grobid_abstract_attachment_id":113989147},"translated_abstract":null,"internal_url":"https://www.academia.edu/118338499/Enzymatic_Hydrolysis_of_an_Organic_Sulfur_Compound","translated_internal_url":"","created_at":"2024-04-30T09:42:45.362-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":113989147,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989147/thumbnails/1.jpg","file_name":"AER_2019041014070369.pdf","download_url":"https://www.academia.edu/attachments/113989147/download_file","bulk_download_file_name":"Enzymatic_Hydrolysis_of_an_Organic_Sulfu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989147/AER_2019041014070369-libre.pdf?1714495861=\u0026response-content-disposition=attachment%3B+filename%3DEnzymatic_Hydrolysis_of_an_Organic_Sulfu.pdf\u0026Expires=1741937401\u0026Signature=HVWX3MsBIDrj6EVwilSr46K6ajBxY3qs-oRPUelNcNZf~ogiNf3g3aNusi6Oge0-DhCV8uRdwD20QUNMDBOEQjnJssGMOAn0MxqHbKAmJ7ti4ZxKkeC5AjNmre6SteDDTBsyEe21mbeeJtKdFsax0Y1RckwPjMFmvoyHiymtzoEQ58sADnFeYpI-63MVMzY03sD6CBx7iqzoHs9BiPVxi0gU-MP3jIQZw7hKmGPzL8XbqOLb7kYCgIsTRFpUfBmbNXMy7fkJXCG7FU-tZjT3YK4lZXvAiUkWnngmQqmE~XEyVcZH1IUaqlBb0o8U27X70q5o3vaSO3wfpf1zIwKCSw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Enzymatic_Hydrolysis_of_an_Organic_Sulfur_Compound","translated_slug":"","page_count":13,"language":"en","content_type":"Work","summary":"Sulfatases which cleave sulfate esters in biological systems are key enzymes that deserve special attention due to their significant roles in organic sulfur (OS) mineralization and inorganic sulfur (2 4 SO −) release. In this study, in-vitro experiments were conducted to evaluate S bonded substrate hydrolysis by a commercially available arylsulfatase (EC 3.1.6.1) from Aerobacter aerogenes. The enzyme-substrate interactions were assessed to determine: 1) rate of hydrolysis, 2) catalytic efficiency, 3) thermal stability, and 4) optimal pH of this enzyme. Arylsulfatase exhibited substrate hydrolysis with a high affinity for p-nitrophenyl sulfate (potassium 4-nitrophenyl sulfate (pNPS)). The optimum activity for the enzyme was observed to occur at a pH of 7.1. The optimal temperature was 37˚C but ranged from 35˚C-45˚C. The apparent K m and K cat of the enzyme for pNPS hydrolysis at the optimal pH, and temperature were determined to be 1.03 mM and 75.73 µM/min, respectively. This work defines the catalytic and kinetic properties of arylsulfatase (EC 3.1.6.1) and confirms the optimal conditions for sulfatase activity testing. The resulting information is useful in elucidating the contributions that individual enzymes have for specific reactions rather than relying on traditional total enzyme activity measurements.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":113989147,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/113989147/thumbnails/1.jpg","file_name":"AER_2019041014070369.pdf","download_url":"https://www.academia.edu/attachments/113989147/download_file","bulk_download_file_name":"Enzymatic_Hydrolysis_of_an_Organic_Sulfu.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/113989147/AER_2019041014070369-libre.pdf?1714495861=\u0026response-content-disposition=attachment%3B+filename%3DEnzymatic_Hydrolysis_of_an_Organic_Sulfu.pdf\u0026Expires=1741937401\u0026Signature=HVWX3MsBIDrj6EVwilSr46K6ajBxY3qs-oRPUelNcNZf~ogiNf3g3aNusi6Oge0-DhCV8uRdwD20QUNMDBOEQjnJssGMOAn0MxqHbKAmJ7ti4ZxKkeC5AjNmre6SteDDTBsyEe21mbeeJtKdFsax0Y1RckwPjMFmvoyHiymtzoEQ58sADnFeYpI-63MVMzY03sD6CBx7iqzoHs9BiPVxi0gU-MP3jIQZw7hKmGPzL8XbqOLb7kYCgIsTRFpUfBmbNXMy7fkJXCG7FU-tZjT3YK4lZXvAiUkWnngmQqmE~XEyVcZH1IUaqlBb0o8U27X70q5o3vaSO3wfpf1zIwKCSw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":231661,"name":"Enzyme","url":"https://www.academia.edu/Documents/in/Enzyme"},{"id":285012,"name":"Sulfur","url":"https://www.academia.edu/Documents/in/Sulfur"},{"id":1030794,"name":"Hydrolysis","url":"https://www.academia.edu/Documents/in/Hydrolysis"}],"urls":[{"id":41532217,"url":"https://doi.org/10.4236/aer.2019.71001"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94977347"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94977347/Phosphatase_Hydrolysis_of_Organic_Phosphorus_Compounds"><img alt="Research paper thumbnail of Phosphatase Hydrolysis of Organic Phosphorus Compounds" class="work-thumbnail" src="https://attachments.academia-assets.com/97287216/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94977347/Phosphatase_Hydrolysis_of_Organic_Phosphorus_Compounds">Phosphatase Hydrolysis of Organic Phosphorus Compounds</a></div><div class="wp-workCard_item"><span>Advances in Enzyme Research</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Phosphatases are diverse groups of enzymes that deserve special attention because of their signif...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Phosphatases are diverse groups of enzymes that deserve special attention because of their significant roles in organic phosphorus (OP) mineralization to inorganic available forms (Pi). This work 1) compared the catalytic potentials of commercially acid phosphatase from wheat germ, sweet potato, and potato, and alkaline phosphatase from E. coli; 2) demonstrated that the rate of hydrolysis, catalytic efficiency, thermal stability, and optimal pH of these enzymes depended on enzyme sources and the stereochemical or stereoisomeric structures of the substrates; 3) revealed that both acid and alkaline phosphatases exhibited broad range of substrate hydrolysis with high affinity for p-nitrophenyl phosphate bis (cyclohexylammonium) than the widely used p-nitrophenyl phosphate disodium hexahydrate for phosphatase assay. Sweet potato had relatively higher reaction kinetics (Vmax, K m , K cat , K cat /K m) values with most substrates tested. The order of catalytic activity was in the order: sweet potato > wheat germ > potato, while the order of substrate hydrolyzed was: PNPBC > PNP > PNP2A2E > DG6P2Na > DG6PNa > Bis-PNP > phytate. The optimum pH for the acid phosphatase was observed to be 5.0. Generally, the activity of alkaline phosphatase was similar to that of acid phosphatase with optimal pH between 10 and 13, depending on the substrates. Knowledge derived from this work would be helpful in enzyme catalysis in soils and water environments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="de676ba96bef49912fb636f94912d9d1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97287216,"asset_id":94977347,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97287216/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94977347"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94977347"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94977347; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94977347]").text(description); $(".js-view-count[data-work-id=94977347]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94977347; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94977347']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "de676ba96bef49912fb636f94912d9d1" } } $('.js-work-strip[data-work-id=94977347]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94977347,"title":"Phosphatase Hydrolysis of Organic Phosphorus Compounds","translated_title":"","metadata":{"publisher":"Scientific Research Publishing, Inc.","grobid_abstract":"Phosphatases are diverse groups of enzymes that deserve special attention because of their significant roles in organic phosphorus (OP) mineralization to inorganic available forms (Pi). This work 1) compared the catalytic potentials of commercially acid phosphatase from wheat germ, sweet potato, and potato, and alkaline phosphatase from E. coli; 2) demonstrated that the rate of hydrolysis, catalytic efficiency, thermal stability, and optimal pH of these enzymes depended on enzyme sources and the stereochemical or stereoisomeric structures of the substrates; 3) revealed that both acid and alkaline phosphatases exhibited broad range of substrate hydrolysis with high affinity for p-nitrophenyl phosphate bis (cyclohexylammonium) than the widely used p-nitrophenyl phosphate disodium hexahydrate for phosphatase assay. Sweet potato had relatively higher reaction kinetics (Vmax, K m , K cat , K cat /K m) values with most substrates tested. The order of catalytic activity was in the order: sweet potato \u003e wheat germ \u003e potato, while the order of substrate hydrolyzed was: PNPBC \u003e PNP \u003e PNP2A2E \u003e DG6P2Na \u003e DG6PNa \u003e Bis-PNP \u003e phytate. The optimum pH for the acid phosphatase was observed to be 5.0. Generally, the activity of alkaline phosphatase was similar to that of acid phosphatase with optimal pH between 10 and 13, depending on the substrates. Knowledge derived from this work would be helpful in enzyme catalysis in soils and water environments.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Advances in Enzyme Research","grobid_abstract_attachment_id":97287216},"translated_abstract":null,"internal_url":"https://www.academia.edu/94977347/Phosphatase_Hydrolysis_of_Organic_Phosphorus_Compounds","translated_internal_url":"","created_at":"2023-01-14T09:42:05.157-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97287216,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97287216/thumbnails/1.jpg","file_name":"8c50a4ec0f13c0dd10fdaa34fdd2f1098a0a.pdf","download_url":"https://www.academia.edu/attachments/97287216/download_file","bulk_download_file_name":"Phosphatase_Hydrolysis_of_Organic_Phosph.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97287216/8c50a4ec0f13c0dd10fdaa34fdd2f1098a0a-libre.pdf?1673721446=\u0026response-content-disposition=attachment%3B+filename%3DPhosphatase_Hydrolysis_of_Organic_Phosph.pdf\u0026Expires=1741937401\u0026Signature=IImb67xqg4-8UvegqMtl2kXkvUc~3lczyQ9qLk~8BA3~pHMCVDh7370qi64BXIXuNkQKpWXT3PZ5pJqRMkuOJRgPWQh-HzRFxjBvkQTRKzwfQrRJTLsawIeW5x3x7YZtWJeSP-gsYQVLZ0J0za9LFXkfYbgunywF8jImYxIUmiyrZrl8B~srAb7EgSRnFmanf5QDIy4Qtl22OOtWl3H0~WRSZ5WHFmII6e3WbDd0CefqrhNeXvdSt3voPY56M4Agnrk-j2UIibCAsGsPXqu~4vQ4xtFHKckIOUXyfgnbiNyHX7pEKyyjw870o1PB5tLmbcZ5lBmsWWn2YNP1KdFcRQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Phosphatase_Hydrolysis_of_Organic_Phosphorus_Compounds","translated_slug":"","page_count":13,"language":"en","content_type":"Work","summary":"Phosphatases are diverse groups of enzymes that deserve special attention because of their significant roles in organic phosphorus (OP) mineralization to inorganic available forms (Pi). This work 1) compared the catalytic potentials of commercially acid phosphatase from wheat germ, sweet potato, and potato, and alkaline phosphatase from E. coli; 2) demonstrated that the rate of hydrolysis, catalytic efficiency, thermal stability, and optimal pH of these enzymes depended on enzyme sources and the stereochemical or stereoisomeric structures of the substrates; 3) revealed that both acid and alkaline phosphatases exhibited broad range of substrate hydrolysis with high affinity for p-nitrophenyl phosphate bis (cyclohexylammonium) than the widely used p-nitrophenyl phosphate disodium hexahydrate for phosphatase assay. Sweet potato had relatively higher reaction kinetics (Vmax, K m , K cat , K cat /K m) values with most substrates tested. The order of catalytic activity was in the order: sweet potato \u003e wheat germ \u003e potato, while the order of substrate hydrolyzed was: PNPBC \u003e PNP \u003e PNP2A2E \u003e DG6P2Na \u003e DG6PNa \u003e Bis-PNP \u003e phytate. The optimum pH for the acid phosphatase was observed to be 5.0. Generally, the activity of alkaline phosphatase was similar to that of acid phosphatase with optimal pH between 10 and 13, depending on the substrates. Knowledge derived from this work would be helpful in enzyme catalysis in soils and water environments.","owner":{"id":34594617,"first_name":"Zachary","middle_initials":"","last_name":"Senwo","page_name":"ZacharySenwo","domain_name":"aamu","created_at":"2015-09-06T11:39:49.847-07:00","display_name":"Zachary Senwo","url":"https://aamu.academia.edu/ZacharySenwo"},"attachments":[{"id":97287216,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97287216/thumbnails/1.jpg","file_name":"8c50a4ec0f13c0dd10fdaa34fdd2f1098a0a.pdf","download_url":"https://www.academia.edu/attachments/97287216/download_file","bulk_download_file_name":"Phosphatase_Hydrolysis_of_Organic_Phosph.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97287216/8c50a4ec0f13c0dd10fdaa34fdd2f1098a0a-libre.pdf?1673721446=\u0026response-content-disposition=attachment%3B+filename%3DPhosphatase_Hydrolysis_of_Organic_Phosph.pdf\u0026Expires=1741937401\u0026Signature=IImb67xqg4-8UvegqMtl2kXkvUc~3lczyQ9qLk~8BA3~pHMCVDh7370qi64BXIXuNkQKpWXT3PZ5pJqRMkuOJRgPWQh-HzRFxjBvkQTRKzwfQrRJTLsawIeW5x3x7YZtWJeSP-gsYQVLZ0J0za9LFXkfYbgunywF8jImYxIUmiyrZrl8B~srAb7EgSRnFmanf5QDIy4Qtl22OOtWl3H0~WRSZ5WHFmII6e3WbDd0CefqrhNeXvdSt3voPY56M4Agnrk-j2UIibCAsGsPXqu~4vQ4xtFHKckIOUXyfgnbiNyHX7pEKyyjw870o1PB5tLmbcZ5lBmsWWn2YNP1KdFcRQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":4749,"name":"Catalysis","url":"https://www.academia.edu/Documents/in/Catalysis"},{"id":38442,"name":"Enzyme Kinetics","url":"https://www.academia.edu/Documents/in/Enzyme_Kinetics"},{"id":81065,"name":"Phosphatase","url":"https://www.academia.edu/Documents/in/Phosphatase"},{"id":204435,"name":"Alkaline phosphatase","url":"https://www.academia.edu/Documents/in/Alkaline_phosphatase"},{"id":231661,"name":"Enzyme","url":"https://www.academia.edu/Documents/in/Enzyme"},{"id":843400,"name":"Phosphate","url":"https://www.academia.edu/Documents/in/Phosphate"},{"id":1030794,"name":"Hydrolysis","url":"https://www.academia.edu/Documents/in/Hydrolysis"},{"id":2690076,"name":"Acid Phosphatase","url":"https://www.academia.edu/Documents/in/Acid_Phosphatase"}],"urls":[{"id":28050170,"url":"http://www.scirp.org/journal/doi.aspx?DOI=10.4236/aer.2015.32005"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="94977346"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/94977346/Aspartase_activity_in_soils_effects_of_trace_elements_and_relationships_to_other_amidohydrolases"><img alt="Research paper thumbnail of Aspartase activity in soils: effects of trace elements and relationships to other amidohydrolases" class="work-thumbnail" src="https://attachments.academia-assets.com/97287217/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/94977346/Aspartase_activity_in_soils_effects_of_trace_elements_and_relationships_to_other_amidohydrolases">Aspartase activity in soils: effects of trace elements and relationships to other amidohydrolases</a></div><div class="wp-workCard_item"><span>Soil Biology and Biochemistry</span><span>, 1999</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The enzyme aspartase (L-aspartase ammonia-lyase, EC 4.3.1.1) catalyzes the hydrolysis of L-aspart...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The enzyme aspartase (L-aspartase ammonia-lyase, EC 4.3.1.1) catalyzes the hydrolysis of L-aspartate to produce fumarate and NH 3. This enzyme is involved in N mineralization in soils. Recently, the activity of this enzyme was detected in soils, and a method was developed for its assay. The method was used in studies of the eects of the salts of 24 trace elements on the activity of aspartase in three ®eld-moist soils and their air-dried counterparts. At 5 mmol g À 1 soil, all the trace elements inhibited aspartase activity in the soils. With most of the elements, greater inhibition was found in air-dried than in ®eld-moist soils. Among the trace elements studied, Ag(I) and Hg(II) were the most eective inhibitors of aspartase activity; >85% when added at 5 mmol g À 1 soil. The least inhibition (12%) was with Ni added to the ®eld-moist Harps soil and the greatest (98%) was with Ag(I) in the air-dried Weller soil. Aspartase activity was signi®cantly correlated with the contents of organic C (r = 0.85***, P < 0.001), total N (r = 0.73***) and clay (r = 0.44*, P < 0.05) but not with the content of sand or the pH of 27 surface soils examined, including the three soils used in the studies of the eects of trace elements. The activity of this enzyme in soils was signi®cantly correlated with the activities of asparaginase (r = 0.94***), glutaminase (r = 0.88***), urease (r = 0.80***) and amidase (r = 0.44*).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3796519227c4e51c3eb6bfa2a063c3ce" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97287217,"asset_id":94977346,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97287217/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="94977346"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="94977346"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 94977346; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=94977346]").text(description); $(".js-view-count[data-work-id=94977346]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 94977346; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='94977346']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3796519227c4e51c3eb6bfa2a063c3ce" } } $('.js-work-strip[data-work-id=94977346]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":94977346,"title":"Aspartase activity in soils: effects of trace elements and relationships to other amidohydrolases","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"The enzyme aspartase (L-aspartase ammonia-lyase, EC 4.3.1.1) catalyzes the hydrolysis of L-aspartate to produce fumarate and NH 3. This enzyme is involved in N mineralization in soils. Recently, the activity of this enzyme was detected in soils, and a method was developed for its assay. The method was used in studies of the eects of the salts of 24 trace elements on the activity of aspartase in three ®eld-moist soils and their air-dried counterparts. At 5 mmol g À 1 soil, all the trace elements inhibited aspartase activity in the soils. With most of the elements, greater inhibition was found in air-dried than in ®eld-moist soils. Among the trace elements studied, Ag(I) and Hg(II) were the most eective inhibitors of aspartase activity; \u003e85% when added at 5 mmol g À 1 soil. The least inhibition (12%) was with Ni added to the ®eld-moist Harps soil and the greatest (98%) was with Ag(I) in the air-dried Weller soil. Aspartase activity was signi®cantly correlated with the contents of organic C (r = 0.85***, P \u003c 0.001), total N (r = 0.73***) and clay (r = 0.44*, P \u003c 0.05) but not with the content of sand or the pH of 27 surface soils examined, including the three soils used in the studies of the eects of trace elements. The activity of this enzyme in soils was signi®cantly correlated with the activities of asparaginase (r = 0.94***), glutaminase (r = 0.88***), urease (r = 0.80***) and amidase (r = 0.44*).","publication_date":{"day":null,"month":null,"year":1999,"errors":{}},"publication_name":"Soil Biology and Biochemistry","grobid_abstract_attachment_id":97287217},"translated_abstract":null,"internal_url":"https://www.academia.edu/94977346/Aspartase_activity_in_soils_effects_of_trace_elements_and_relationships_to_other_amidohydrolases","translated_internal_url":"","created_at":"2023-01-14T09:42:05.023-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34594617,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":97287217,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/97287217/thumbnails/1.jpg","file_name":"s0038-0717_2898_2900091-120230114-1-fwqln.pdf","download_url":"https://www.academia.edu/attachments/97287217/download_file","bulk_download_file_name":"Aspartase_activity_in_soils_effects_of_t.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/97287217/s0038-0717_2898_2900091-120230114-1-fwqln-libre.pdf?1673721431=\u0026response-content-disposition=attachment%3B+filename%3DAspartase_activity_in_soils_effects_of_t.pdf\u0026Expires=1741937401\u0026Signature=GzLK7bpu-da2AQhB1bnzMpFyP7V3aeGSpqpyg03CgnR4jGmaJxxgvR4ouhDZUwxhKa42cfotIMpfLrKLSPnszfV7~dnat2ozB1S~4KeDKOkFcq~5MA1lv7~zgJ8r6vdjCALJFtqHh6~ma4TFMR58Ia3vf3-dCTWie5oEcmJrWPxKlKwXRq68ECg0kPAD7mrygZ4-0vCETSLZlV1TnHJbnj66deH8BNrMH9cSFZxfOLOLgYLt~ujBBD0AOv52iGK0IrUM7Qae2Z2DugKQmeMuc0eV6pnchM-ijpIQ-lJZ1qJNaSY8c2WKJyRSNZsj5S1JMfHPWkm4nR5RZHxaJHZbCw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Aspartase_activity_in_soils_effects_of_trace_elements_and_relationships_to_other_amidohydrolases","translated_slug":"","page_count":7,"language":"en","content_type":"Work","summary":"The enzyme aspartase (L-aspartase ammonia-lyase, EC 4.3.1.1) catalyzes the hydrolysis of L-aspartate to produce fumarate and NH 3. This enzyme is involved in N mineralization in soils. Recently, the activity of this enzyme was detected in soils, and a method was developed for its assay. The method was used in studies of the eects of the salts of 24 trace elements on the activity of aspartase in three ®eld-moist soils and their air-dried counterparts. At 5 mmol g À 1 soil, all the trace elements inhibited aspartase activity in the soils. With most of the elements, greater inhibition was found in air-dried than in ®eld-moist soils. Among the trace elements studied, Ag(I) and Hg(II) were the most eective inhibitors of aspartase activity; \u003e85% when added at 5 mmol g À 1 soil. The least inhibition (12%) was with Ni added to the ®eld-moist Harps soil and the greatest (98%) was with Ag(I) in the air-dried Weller soil. Aspartase activity was signi®cantly correlated with the contents of organic C (r = 0.85***, P \u003c 0.001), total N (r = 0.73***) and clay (r = 0.44*, P \u003c 0.05) but not with the content of sand or the pH of 27 surface soils examined, including the three soils used in the studies of the eects of trace elements. 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