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Lauri Arvola - Academia.edu
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href="https://www.academia.edu/114760625/Under_ice_metabolism_in_a_shallow_lake_in_a_cold_and_arid_climate">Under‐ice metabolism in a shallow lake in a cold and arid climate</a></div><div class="wp-workCard_item"><span>Freshwater Biology</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Winter is a long period of the annual cycle of many lakes in the northern hemisphere. Low irradia...</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">Winter is a long period of the annual cycle of many lakes in the northern hemisphere. Low irradiance, ice, and snow cover cause poor light penetration into the water column of these lakes. Therefore, in northern lakes, respiration often exceeds primary production leading to low dissolved oxygen concentrations. This study aimed to quantify under‐ice metabolic processes during winter in an arid zone lake with little snow cover. This study was carried out in a mid‐latitude lake in Inner Mongolia, northern China. The study lake receives relatively high incoming solar radiation on the ice in mid‐winter, and radiation can penetrate down to the bottom sediment as the lake is shallow and the ice lacks snow cover. Primary production and respiration were estimated during two winters using high‐frequency sensor measurements of dissolved oxygen. To quantify under‐ice metabolic processes, sensors were deployed to different depths. 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We examined available data on carbon cycles and food webs of two boreal headwater lakes in southern Finland. The basic limnology of Lake Valkea-Kotinen was monitored over the past 25 years while the lake has undergone browning and DOC increased from ca. 11 to 13 mg C L-1. Pronounced changes in the early 2000s represent a regime shift in DOC concentration and color. Lake Alinen Mustajärvi was manipulated for two years by additions of labile DOC (cane sugar) raising the DOC concentration from ca. 10 to 12 mg C L-1. The two different approaches both revealed increased concentrations and efflux of carbon dioxide (CO2) from the lakes, thus, net heterotrophy, and changes in the pelagic community structure following an increase in DOC concentration. In Valkea-Kotinen browning caused a decline in phytoplankton primary production, which was reflected in retarded growth of young (1-2 year old) perch. The growth of young perch varied more in the experimentally manipulated lake, and the results suggested the importance of a pathway from labile DOC via benthic invertebrates to perch. Although provided with this extra resource, the food chain based on DOC proved inefficient. Long-term monitoring of lakes in pristine catchments is crucial for revealing how freshwater ecosystems respond to climate and/or atmospheric deposition induced changes, such as browning. 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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="95158698"><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/95158698/Physical_and_chemical_consequences_of_artificially_deepened_thermocline_in_a_small_humic_lake_a_paired_whole_lake_climate_change_experiment"><img alt="Research paper thumbnail of Physical and chemical consequences of artificially deepened thermocline in a small humic lake – a paired whole-lake climate change experiment" class="work-thumbnail" src="https://attachments.academia-assets.com/97417981/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/95158698/Physical_and_chemical_consequences_of_artificially_deepened_thermocline_in_a_small_humic_lake_a_paired_whole_lake_climate_change_experiment">Physical and chemical consequences of artificially deepened thermocline in a small humic lake – a paired whole-lake climate change experiment</a></div><div class="wp-workCard_item"><span>Hydrology and Earth System Sciences</span><span>, 2010</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7f873c5ef0870c6de37feed46a827bff" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97417981,"asset_id":95158698,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97417981/download_file?st=MTczMjczMTEwMiw4LjIyMi4yMDguMTQ2&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="95158698"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95158698"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95158698; 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Retention Ponds" class="work-thumbnail" src="https://attachments.academia-assets.com/91608670/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/87385746/Long_Term_2001_2020_Nutrient_Transport_from_a_Small_Boreal_Agricultural_Watershed_Hydrological_Control_and_Potential_of_Retention_Ponds">Long-Term (2001–2020) Nutrient Transport from a Small Boreal Agricultural Watershed: Hydrological Control and Potential of Retention Ponds</a></div><div class="wp-workCard_item"><span>Water</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Agriculture contributes significantly to phosphorus and nitrogen loading in southern Finland. Cli...</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">Agriculture contributes significantly to phosphorus and nitrogen loading in southern Finland. Climate change with higher winter air temperatures and precipitation may also promote loading increase further. We analyzed long-term nutrient trends (2001–2020) based on year-round weekly water sampling and daily weather data from a boreal small agricultural watershed. In addition, nutrient retention was studied in a constructed sedimentation pond system for two years. We did not find any statistically significant trends in weather conditions (temperature, precipitation, discharge, snow depth) except for an increase in discharge in March. Increasing trends in annual concentrations were found for nitrate, phosphate, and total phosphorus and total nitrogen. In fact, phosphate concentration increased in every season and nitrate concentration in other seasons except in autumn. Total phosphorus and total nitrogen concentrations increased in winter as well and total phosphorus also in summer. In...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e690c99e46bfb5099d83a662ee78a6a5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":91608670,"asset_id":87385746,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/91608670/download_file?st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&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="87385746"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="87385746"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 87385746; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=87385746]").text(description); $(".js-view-count[data-work-id=87385746]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 87385746; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='87385746']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 87385746, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "e690c99e46bfb5099d83a662ee78a6a5" } } $('.js-work-strip[data-work-id=87385746]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":87385746,"title":"Long-Term (2001–2020) Nutrient Transport from a Small Boreal Agricultural Watershed: Hydrological Control and Potential of Retention Ponds","translated_title":"","metadata":{"abstract":"Agriculture contributes significantly to phosphorus and nitrogen loading in southern Finland. Climate change with higher winter air temperatures and precipitation may also promote loading increase further. We analyzed long-term nutrient trends (2001–2020) based on year-round weekly water sampling and daily weather data from a boreal small agricultural watershed. In addition, nutrient retention was studied in a constructed sedimentation pond system for two years. We did not find any statistically significant trends in weather conditions (temperature, precipitation, discharge, snow depth) except for an increase in discharge in March. Increasing trends in annual concentrations were found for nitrate, phosphate, and total phosphorus and total nitrogen. In fact, phosphate concentration increased in every season and nitrate concentration in other seasons except in autumn. Total phosphorus and total nitrogen concentrations increased in winter as well and total phosphorus also in summer. In...","publisher":"MDPI AG","publication_name":"Water"},"translated_abstract":"Agriculture contributes significantly to phosphorus and nitrogen loading in southern Finland. Climate change with higher winter air temperatures and precipitation may also promote loading increase further. We analyzed long-term nutrient trends (2001–2020) based on year-round weekly water sampling and daily weather data from a boreal small agricultural watershed. In addition, nutrient retention was studied in a constructed sedimentation pond system for two years. We did not find any statistically significant trends in weather conditions (temperature, precipitation, discharge, snow depth) except for an increase in discharge in March. Increasing trends in annual concentrations were found for nitrate, phosphate, and total phosphorus and total nitrogen. In fact, phosphate concentration increased in every season and nitrate concentration in other seasons except in autumn. Total phosphorus and total nitrogen concentrations increased in winter as well and total phosphorus also in summer. 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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="87385745"><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/87385745/Water_Chemistry_and_Bacterioplankton_in_Two_Subalpine_Rivers_in_Finnish_Lapland"><img alt="Research paper thumbnail of Water Chemistry and Bacterioplankton in Two Subalpine Rivers in Finnish Lapland" class="work-thumbnail" src="https://attachments.academia-assets.com/91608671/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/87385745/Water_Chemistry_and_Bacterioplankton_in_Two_Subalpine_Rivers_in_Finnish_Lapland">Water Chemistry and Bacterioplankton in Two Subalpine Rivers in Finnish Lapland</a></div><div class="wp-workCard_item"><span>Hydrology Research</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Water chemistry and bacterioplankton were analysed for two subalpine rivers, River Kidisjoki and ...</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">Water chemistry and bacterioplankton were analysed for two subalpine rivers, River Kidisjoki and River Utsjoki, in northernmost Finland. The data set is based on continuous runoff measurements and weekly chemical and biological samples. The data were collected during the open water period, from May to October, in year 2000. The runoff patterns during the summer were similar in the two rivers at though the size of the catchments is very different (the catchment of River Utsjoki 1,520 km2 and of River Kidisjoki 22 km2). For both rivers, variations in runoff were followed by variations in the water quality and bacterial densities. The measured chemical concentrations were usually the highest in the headwaters of river Kidisjoki, while in the lower Kidisjoki they were clearly lower than in Utsjoki. Bacterial densities were on average highest in Utsjoki and the strongest relationships between water chemistry and bacteria were found in Kidisjoki. Both the chemical concentrations and bacte...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="246834654463fb70446121b040d81acb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":91608671,"asset_id":87385745,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/91608671/download_file?st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&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="87385745"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="87385745"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 87385745; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=87385745]").text(description); $(".js-view-count[data-work-id=87385745]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 87385745; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='87385745']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 87385745, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "246834654463fb70446121b040d81acb" } } $('.js-work-strip[data-work-id=87385745]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":87385745,"title":"Water Chemistry and Bacterioplankton in Two Subalpine Rivers in Finnish Lapland","translated_title":"","metadata":{"abstract":"Water chemistry and bacterioplankton were analysed for two subalpine rivers, River Kidisjoki and River Utsjoki, in northernmost Finland. 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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="87385744"><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/87385744/2_2_1H_NMR%E6%B3%95%E3%81%AB%E3%82%88%E3%82%8B%E5%9C%9F%E5%A3%8C%E7%94%9F%E6%85%8B%E7%B3%BB%E3%81%AEDOM%E7%89%B9%E6%80%A7%E3%81%AE%E6%8A%8A%E6%8F%A1_%E3%83%95%E3%82%A3%E3%83%B3%E3%83%A9%E3%83%B3%E3%83%89_%E3%83%A9%E3%83%9F%E3%83%BC%E5%9C%B0%E5%9F%9F%E3%81%AE%E4%BA%8B%E4%BE%8B_2_%E5%9C%9F%E5%A3%8C%E6%9C%89%E6%A9%9F_%E7%84%A1%E6%A9%9F%E5%8C%96%E5%AD%A6_2012%E5%B9%B4%E5%BA%A6%E9%B3%A5%E5%8F%96%E5%A4%A7%E4%BC%9A_"><img alt="Research paper thumbnail of 2-2 ^1H NMR法による土壌生態系のDOM特性の把握 : フィンランド・ラミー地域の事例(2.土壌有機・無機化学,2012年度鳥取大会)" 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" href="https://www.academia.edu/87385744/2_2_1H_NMR%E6%B3%95%E3%81%AB%E3%82%88%E3%82%8B%E5%9C%9F%E5%A3%8C%E7%94%9F%E6%85%8B%E7%B3%BB%E3%81%AEDOM%E7%89%B9%E6%80%A7%E3%81%AE%E6%8A%8A%E6%8F%A1_%E3%83%95%E3%82%A3%E3%83%B3%E3%83%A9%E3%83%B3%E3%83%89_%E3%83%A9%E3%83%9F%E3%83%BC%E5%9C%B0%E5%9F%9F%E3%81%AE%E4%BA%8B%E4%BE%8B_2_%E5%9C%9F%E5%A3%8C%E6%9C%89%E6%A9%9F_%E7%84%A1%E6%A9%9F%E5%8C%96%E5%AD%A6_2012%E5%B9%B4%E5%BA%A6%E9%B3%A5%E5%8F%96%E5%A4%A7%E4%BC%9A_">2-2 ^1H NMR法による土壌生態系のDOM特性の把握 : フィンランド・ラミー地域の事例(2.土壌有機・無機化学,2012年度鳥取大会)</a></div><div class="wp-workCard_item"><span>Abstracts of the Annual Meetings, Japanese Society of Soil Science and Plant Nutrition</span><span>, 2012</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="87385744"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="87385744"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 87385744; 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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="87385743"><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/87385743/Winter_and_summer_comparison_of_biological_chemical_and_physical_conditions_in_seasonally_ice_covered_lakes"><img alt="Research paper thumbnail of Winter and summer comparison of biological, chemical, and physical conditions in seasonally ice-covered lakes" 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" href="https://www.academia.edu/87385743/Winter_and_summer_comparison_of_biological_chemical_and_physical_conditions_in_seasonally_ice_covered_lakes">Winter and summer comparison of biological, chemical, and physical conditions in seasonally ice-covered lakes</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The goal of this data collection was to compile diverse existing data in order to summarize and 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">The goal of this data collection was to compile diverse existing data in order to summarize and contrast ecologically relevant parameters in lakes during ice-on (winter) and ice-free (summer stratification) periods. There are 89 unique lakes in this dataset, ranging from small, shallow lakes to large, deep lakes. Lakes are from eleven different countries, primarily in North America and Europe; Antarctica is the only southern hemisphere location represented in the dataset. Variables collected include physical, chemical, and biological, as well as a suite of metadata variables. Chlorophyll a data are particularly well-represented across lakes, while many variables (e.g. zooplankton variables) are only available for a smaller subset of lakes. Temporal coverage for unique lake/sample stations range from one year to a span of 73 years, with 20 lake/stations having at least 30 years of data. Synthesis analyses based on this dataset are available in: Hampton et al. (2016). Ecology under la...</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="87385743"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="87385743"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 87385743; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=87385743]").text(description); $(".js-view-count[data-work-id=87385743]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 87385743; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='87385743']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 87385743, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=87385743]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":87385743,"title":"Winter and summer comparison of biological, chemical, and physical conditions in seasonally ice-covered lakes","translated_title":"","metadata":{"abstract":"The goal of this data collection was to compile diverse existing data in order to summarize and contrast ecologically relevant parameters in lakes during ice-on (winter) and ice-free (summer stratification) periods. 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1985-2009</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 class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="87385742"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="87385742"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 87385742; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=87385742]").text(description); $(".js-view-count[data-work-id=87385742]").attr('title', description).tooltip(); 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Experimental d 13C evidence for a contribution of methane to pelagic food webs in lakes" class="work-thumbnail" src="https://attachments.academia-assets.com/91608664/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/87385739/E_2006_by_the_American_Society_of_Limnology_and_Oceanography_Inc_Experimental_d_13C_evidence_for_a_contribution_of_methane_to_pelagic_food_webs_in_lakes">E 2006, by the American Society of Limnology and Oceanography, Inc. Experimental d 13C evidence for a contribution of methane to pelagic food webs in lakes</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We tested the hypothesis that low stable carbon isotope (d13C) values commonly observed for zoopl...</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">We tested the hypothesis that low stable carbon isotope (d13C) values commonly observed for zooplankton in humic lakes are due to their feeding on isotopically light methane-oxidizing microbes, and thus that methanederived carbon is important in the food webs of these lakes. In replicate laboratory cultures, Daphnia longispina, a common crustacean zooplankter in humic lakes, were fed microbial suspensions with or without enrichment by biogenic methane. The d13C values of Daphnia indicated consumption of 13C-depleted methanotrophic bacteria, while growth rates, survival, and reproduction of Daphnia in cultures enriched with methane were equal to or greater than those in nonenriched cultures. Results from lake enclosures during the autumn overturn period revealed a decrease in d13C of adult Daphnia from 240.5 % to 250.3%, reflecting extensive consumption of 13Cdepleted methanotrophic bacteria. Methane-derived carbon is a more important contribution to carbon flux through lake pelagic ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8176b08f3e646b7f2c631e82dc3895d9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":91608664,"asset_id":87385739,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/91608664/download_file?st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&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="87385739"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="87385739"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 87385739; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=87385739]").text(description); $(".js-view-count[data-work-id=87385739]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 87385739; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='87385739']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 87385739, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "8176b08f3e646b7f2c631e82dc3895d9" } } $('.js-work-strip[data-work-id=87385739]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":87385739,"title":"E 2006, by the American Society of Limnology and Oceanography, Inc. 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Results from lake enclosures during the autumn overturn period revealed a decrease in d13C of adult Daphnia from 240.5 % to 250.3%, reflecting extensive consumption of 13Cdepleted methanotrophic bacteria. Methane-derived carbon is a more important contribution to carbon flux through lake pelagic ...","publication_date":{"day":null,"month":null,"year":2014,"errors":{}}},"translated_abstract":"We tested the hypothesis that low stable carbon isotope (d13C) values commonly observed for zooplankton in humic lakes are due to their feeding on isotopically light methane-oxidizing microbes, and thus that methanederived carbon is important in the food webs of these lakes. In replicate laboratory cultures, Daphnia longispina, a common crustacean zooplankter in humic lakes, were fed microbial suspensions with or without enrichment by biogenic methane. 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Low irradia...</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">Winter is a long period of the annual cycle of many lakes in the northern hemisphere. Low irradiance, ice, and snow cover cause poor light penetration into the water column of these lakes. Therefore, in northern lakes, respiration often exceeds primary production leading to low dissolved oxygen concentrations. This study aimed to quantify under‐ice metabolic processes during winter in an arid zone lake with little snow cover. This study was carried out in a mid‐latitude lake in Inner Mongolia, northern China. The study lake receives relatively high incoming solar radiation on the ice in mid‐winter, and radiation can penetrate down to the bottom sediment as the lake is shallow and the ice lacks snow cover. Primary production and respiration were estimated during two winters using high‐frequency sensor measurements of dissolved oxygen. To quantify under‐ice metabolic processes, sensors were deployed to different depths. 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We examined available data on carbon cycles and food webs of two boreal headwater lakes in southern Finland. The basic limnology of Lake Valkea-Kotinen was monitored over the past 25 years while the lake has undergone browning and DOC increased from ca. 11 to 13 mg C L-1. Pronounced changes in the early 2000s represent a regime shift in DOC concentration and color. Lake Alinen Mustajärvi was manipulated for two years by additions of labile DOC (cane sugar) raising the DOC concentration from ca. 10 to 12 mg C L-1. The two different approaches both revealed increased concentrations and efflux of carbon dioxide (CO2) from the lakes, thus, net heterotrophy, and changes in the pelagic community structure following an increase in DOC concentration. In Valkea-Kotinen browning caused a decline in phytoplankton primary production, which was reflected in retarded growth of young (1-2 year old) perch. 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A paired whole-lake thermocline manipulation experiment of a small (0.047 km 2) shallow dystrophic lake (Halsjärvi) was carried out in southern Finland. A thermodynamic model (MyLake) was used for both predicting the impacts of climate change scenarios and for determining the manipulation target of the experiment. The model simulations assuming several climate change scenarios indicated large increases in the whole-lake monthly mean temperature (+1.4-4.4 • C in April-October for the A2 scenario), and shortening of the length of the ice covered period by 56-89 days. The thermocline manipulation resulted in large changes in the thermodynamic properties of the lake, and those were rather well consistent with the simulated future increases in the heat content during the summer-autumn season. The manipulation also resulted in changes in the oxygen stratification, and the expansion of the oxic water layer increased the spatial extent of the sediment surface oxic-anoxic interfaces. In addition, the experiment affected several other chemical constituents; concentrations of organic carbon, TotN, and NH 4 showed a statistically significant decrease, likely due to both changes in hydrological conditions during the experiment period and increased decomposition and sedimentation. 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Retention Ponds" class="work-thumbnail" src="https://attachments.academia-assets.com/91608670/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/87385746/Long_Term_2001_2020_Nutrient_Transport_from_a_Small_Boreal_Agricultural_Watershed_Hydrological_Control_and_Potential_of_Retention_Ponds">Long-Term (2001–2020) Nutrient Transport from a Small Boreal Agricultural Watershed: Hydrological Control and Potential of Retention Ponds</a></div><div class="wp-workCard_item"><span>Water</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Agriculture contributes significantly to phosphorus and nitrogen loading in southern Finland. Cli...</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">Agriculture contributes significantly to phosphorus and nitrogen loading in southern Finland. Climate change with higher winter air temperatures and precipitation may also promote loading increase further. We analyzed long-term nutrient trends (2001–2020) based on year-round weekly water sampling and daily weather data from a boreal small agricultural watershed. In addition, nutrient retention was studied in a constructed sedimentation pond system for two years. We did not find any statistically significant trends in weather conditions (temperature, precipitation, discharge, snow depth) except for an increase in discharge in March. Increasing trends in annual concentrations were found for nitrate, phosphate, and total phosphorus and total nitrogen. In fact, phosphate concentration increased in every season and nitrate concentration in other seasons except in autumn. Total phosphorus and total nitrogen concentrations increased in winter as well and total phosphorus also in summer. In...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e690c99e46bfb5099d83a662ee78a6a5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":91608670,"asset_id":87385746,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/91608670/download_file?st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&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="87385746"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="87385746"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 87385746; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=87385746]").text(description); $(".js-view-count[data-work-id=87385746]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 87385746; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='87385746']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 87385746, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "e690c99e46bfb5099d83a662ee78a6a5" } } $('.js-work-strip[data-work-id=87385746]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":87385746,"title":"Long-Term (2001–2020) Nutrient Transport from a Small Boreal Agricultural Watershed: Hydrological Control and Potential of Retention Ponds","translated_title":"","metadata":{"abstract":"Agriculture contributes significantly to phosphorus and nitrogen loading in southern Finland. Climate change with higher winter air temperatures and precipitation may also promote loading increase further. We analyzed long-term nutrient trends (2001–2020) based on year-round weekly water sampling and daily weather data from a boreal small agricultural watershed. In addition, nutrient retention was studied in a constructed sedimentation pond system for two years. We did not find any statistically significant trends in weather conditions (temperature, precipitation, discharge, snow depth) except for an increase in discharge in March. Increasing trends in annual concentrations were found for nitrate, phosphate, and total phosphorus and total nitrogen. In fact, phosphate concentration increased in every season and nitrate concentration in other seasons except in autumn. Total phosphorus and total nitrogen concentrations increased in winter as well and total phosphorus also in summer. In...","publisher":"MDPI AG","publication_name":"Water"},"translated_abstract":"Agriculture contributes significantly to phosphorus and nitrogen loading in southern Finland. Climate change with higher winter air temperatures and precipitation may also promote loading increase further. We analyzed long-term nutrient trends (2001–2020) based on year-round weekly water sampling and daily weather data from a boreal small agricultural watershed. In addition, nutrient retention was studied in a constructed sedimentation pond system for two years. We did not find any statistically significant trends in weather conditions (temperature, precipitation, discharge, snow depth) except for an increase in discharge in March. Increasing trends in annual concentrations were found for nitrate, phosphate, and total phosphorus and total nitrogen. In fact, phosphate concentration increased in every season and nitrate concentration in other seasons except in autumn. Total phosphorus and total nitrogen concentrations increased in winter as well and total phosphorus also in summer. In...","internal_url":"https://www.academia.edu/87385746/Long_Term_2001_2020_Nutrient_Transport_from_a_Small_Boreal_Agricultural_Watershed_Hydrological_Control_and_Potential_of_Retention_Ponds","translated_internal_url":"","created_at":"2022-09-26T21:44:06.559-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":235980097,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":91608670,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/91608670/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/91608670/download_file?st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Long_Term_2001_2020_Nutrient_Transport_f.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/91608670/pdf-libre.pdf?1664254236=\u0026response-content-disposition=attachment%3B+filename%3DLong_Term_2001_2020_Nutrient_Transport_f.pdf\u0026Expires=1732734702\u0026Signature=OvuzEHkAwjz8qUeh1fTMwaswPqNbuJsWXyt3BLYixpNIsqMQdpUkuv~53ik4ohU5GWhk6WKm3QfQJBn6chpmmAC6CsyJHUoSIs0lLMkJz3n6FHCQokpfZRiCRMI-2K3fJ66P6PH4TPy~KLLwOKmDZLozdj6THRoSC853UMXklyJ0ABQgqrN2oC01wvchL1Ymq~Fhs5lQXkovF~J-MlPBQ6cTaPBuTXHmvoGMFoa7trrHLnST3gg-fqOJptHAnmVaL-xh70Jlawfk5zHyuEr-mqdcOhHPRp9HFZfIW6q7Msx6pC1KpaYRHaN0ZvnTqtjS9JmHOhSTbyZUF1mrYBMiGw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Long_Term_2001_2020_Nutrient_Transport_from_a_Small_Boreal_Agricultural_Watershed_Hydrological_Control_and_Potential_of_Retention_Ponds","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":235980097,"first_name":"Lauri","middle_initials":null,"last_name":"Arvola","page_name":"LauriArvola","domain_name":"independent","created_at":"2022-09-15T04:35:21.476-07:00","display_name":"Lauri Arvola","url":"https://independent.academia.edu/LauriArvola"},"attachments":[{"id":91608670,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/91608670/thumbnails/1.jpg","file_name":"pdf.pdf","download_url":"https://www.academia.edu/attachments/91608670/download_file?st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Long_Term_2001_2020_Nutrient_Transport_f.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/91608670/pdf-libre.pdf?1664254236=\u0026response-content-disposition=attachment%3B+filename%3DLong_Term_2001_2020_Nutrient_Transport_f.pdf\u0026Expires=1732734703\u0026Signature=MCeV2JrWfJqLE4NeXgX76VDyfe~NlZtLpBFu2C0RoCZkBwzs1mc3i7YS~v3jmbzkh8nszdx~lrpwSMj0g3O~PT0pmBGnRWkv2XOxlDT0Jm9VEWyyhZ05~7GfgAAwJMkJaQHyR73yFPpCmTOr0W7YMz4W6A9tUGtPjh0Tnq4SQi1Hb8QJfn59AoPg8GmvJvUS9-nuVIbuR3fVoBV4vDvB8gE5IUc9zYujZguq9wsWzqtbHc70XpE~1~hIO5RHMJ2X-NoLb-toWaB4c8UqcRtf8zhT3txutZFAqHwY-Ypb2ZGetYCP~lnqagZr0mqhvsZMfEEZZB0AyZ2JGHx4CxgsPA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":2215,"name":"Water","url":"https://www.academia.edu/Documents/in/Water"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"}],"urls":[{"id":24215829,"url":"https://www.mdpi.com/2073-4441/12/10/2731/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="87385745"><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/87385745/Water_Chemistry_and_Bacterioplankton_in_Two_Subalpine_Rivers_in_Finnish_Lapland"><img alt="Research paper thumbnail of Water Chemistry and Bacterioplankton in Two Subalpine Rivers in Finnish Lapland" class="work-thumbnail" src="https://attachments.academia-assets.com/91608671/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/87385745/Water_Chemistry_and_Bacterioplankton_in_Two_Subalpine_Rivers_in_Finnish_Lapland">Water Chemistry and Bacterioplankton in Two Subalpine Rivers in Finnish Lapland</a></div><div class="wp-workCard_item"><span>Hydrology Research</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Water chemistry and bacterioplankton were analysed for two subalpine rivers, River Kidisjoki and ...</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">Water chemistry and bacterioplankton were analysed for two subalpine rivers, River Kidisjoki and River Utsjoki, in northernmost Finland. The data set is based on continuous runoff measurements and weekly chemical and biological samples. The data were collected during the open water period, from May to October, in year 2000. The runoff patterns during the summer were similar in the two rivers at though the size of the catchments is very different (the catchment of River Utsjoki 1,520 km2 and of River Kidisjoki 22 km2). For both rivers, variations in runoff were followed by variations in the water quality and bacterial densities. The measured chemical concentrations were usually the highest in the headwaters of river Kidisjoki, while in the lower Kidisjoki they were clearly lower than in Utsjoki. Bacterial densities were on average highest in Utsjoki and the strongest relationships between water chemistry and bacteria were found in Kidisjoki. Both the chemical concentrations and bacte...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="246834654463fb70446121b040d81acb" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":91608671,"asset_id":87385745,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/91608671/download_file?st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&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="87385745"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="87385745"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 87385745; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=87385745]").text(description); $(".js-view-count[data-work-id=87385745]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 87385745; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='87385745']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 87385745, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "246834654463fb70446121b040d81acb" } } $('.js-work-strip[data-work-id=87385745]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":87385745,"title":"Water Chemistry and Bacterioplankton in Two Subalpine Rivers in Finnish Lapland","translated_title":"","metadata":{"abstract":"Water chemistry and bacterioplankton were analysed for two subalpine rivers, River Kidisjoki and River Utsjoki, in northernmost Finland. The data set is based on continuous runoff measurements and weekly chemical and biological samples. The data were collected during the open water period, from May to October, in year 2000. The runoff patterns during the summer were similar in the two rivers at though the size of the catchments is very different (the catchment of River Utsjoki 1,520 km2 and of River Kidisjoki 22 km2). For both rivers, variations in runoff were followed by variations in the water quality and bacterial densities. The measured chemical concentrations were usually the highest in the headwaters of river Kidisjoki, while in the lower Kidisjoki they were clearly lower than in Utsjoki. Bacterial densities were on average highest in Utsjoki and the strongest relationships between water chemistry and bacteria were found in Kidisjoki. Both the chemical concentrations and bacte...","publisher":"IWA Publishing","publication_date":{"day":null,"month":null,"year":2003,"errors":{}},"publication_name":"Hydrology Research"},"translated_abstract":"Water chemistry and bacterioplankton were analysed for two subalpine rivers, River Kidisjoki and River Utsjoki, in northernmost Finland. The data set is based on continuous runoff measurements and weekly chemical and biological samples. The data were collected during the open water period, from May to October, in year 2000. The runoff patterns during the summer were similar in the two rivers at though the size of the catchments is very different (the catchment of River Utsjoki 1,520 km2 and of River Kidisjoki 22 km2). For both rivers, variations in runoff were followed by variations in the water quality and bacterial densities. The measured chemical concentrations were usually the highest in the headwaters of river Kidisjoki, while in the lower Kidisjoki they were clearly lower than in Utsjoki. Bacterial densities were on average highest in Utsjoki and the strongest relationships between water chemistry and bacteria were found in Kidisjoki. Both the chemical concentrations and bacte...","internal_url":"https://www.academia.edu/87385745/Water_Chemistry_and_Bacterioplankton_in_Two_Subalpine_Rivers_in_Finnish_Lapland","translated_internal_url":"","created_at":"2022-09-26T21:44:05.139-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":235980097,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":91608671,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/91608671/thumbnails/1.jpg","file_name":"139.pdf","download_url":"https://www.academia.edu/attachments/91608671/download_file?st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Water_Chemistry_and_Bacterioplankton_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/91608671/139-libre.pdf?1664254240=\u0026response-content-disposition=attachment%3B+filename%3DWater_Chemistry_and_Bacterioplankton_in.pdf\u0026Expires=1732734703\u0026Signature=TD4zYyrzRlf2O~YtOSs7uooK4KcFoZNHL1k4XEA8Y07n2ilzv6Krt6FRVhFMBTBZ62ZvWPmQP-YLXQLAl0T5pmU0pilxHlG5BZk4qoE0IaLdurVfC4zsot8Scogf6874AiERqjPXOwJbdpYZlvq49LDIfiBZzvxe26zqW0paEphTM2pqEG~Nze6W8xk65NIjQWsjZcHDOiQa9LW7m-CZe0GKC1UohL1a95OsbfaEqO5OCY64~8ezq-oe6TZMNtfAeOlHT2nVdMfTok5QdzV9IupMFJhHBS3sqrKzrx8m1n-6m28K-nm9Evv9huoQjZCY5UcpdPD~6PO6~cKVO8S8zA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Water_Chemistry_and_Bacterioplankton_in_Two_Subalpine_Rivers_in_Finnish_Lapland","translated_slug":"","page_count":8,"language":"en","content_type":"Work","owner":{"id":235980097,"first_name":"Lauri","middle_initials":null,"last_name":"Arvola","page_name":"LauriArvola","domain_name":"independent","created_at":"2022-09-15T04:35:21.476-07:00","display_name":"Lauri Arvola","url":"https://independent.academia.edu/LauriArvola"},"attachments":[{"id":91608671,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/91608671/thumbnails/1.jpg","file_name":"139.pdf","download_url":"https://www.academia.edu/attachments/91608671/download_file?st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Water_Chemistry_and_Bacterioplankton_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/91608671/139-libre.pdf?1664254240=\u0026response-content-disposition=attachment%3B+filename%3DWater_Chemistry_and_Bacterioplankton_in.pdf\u0026Expires=1732734703\u0026Signature=TD4zYyrzRlf2O~YtOSs7uooK4KcFoZNHL1k4XEA8Y07n2ilzv6Krt6FRVhFMBTBZ62ZvWPmQP-YLXQLAl0T5pmU0pilxHlG5BZk4qoE0IaLdurVfC4zsot8Scogf6874AiERqjPXOwJbdpYZlvq49LDIfiBZzvxe26zqW0paEphTM2pqEG~Nze6W8xk65NIjQWsjZcHDOiQa9LW7m-CZe0GKC1UohL1a95OsbfaEqO5OCY64~8ezq-oe6TZMNtfAeOlHT2nVdMfTok5QdzV9IupMFJhHBS3sqrKzrx8m1n-6m28K-nm9Evv9huoQjZCY5UcpdPD~6PO6~cKVO8S8zA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":73,"name":"Civil Engineering","url":"https://www.academia.edu/Documents/in/Civil_Engineering"},{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":2549,"name":"Hydrology","url":"https://www.academia.edu/Documents/in/Hydrology"},{"id":5411,"name":"Biomass","url":"https://www.academia.edu/Documents/in/Biomass"},{"id":17726,"name":"Density","url":"https://www.academia.edu/Documents/in/Density"},{"id":48127,"name":"Concentration","url":"https://www.academia.edu/Documents/in/Concentration"},{"id":113903,"name":"Bacteria","url":"https://www.academia.edu/Documents/in/Bacteria"},{"id":281099,"name":"Bacterioplankton","url":"https://www.academia.edu/Documents/in/Bacterioplankton"},{"id":530872,"name":"Runoff","url":"https://www.academia.edu/Documents/in/Runoff"},{"id":2464637,"name":"Drainage Basins","url":"https://www.academia.edu/Documents/in/Drainage_Basins"}],"urls":[{"id":24215828,"url":"http://iwaponline.com/hr/article-pdf/34/1-2/139/5655/139.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="87385744"><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/87385744/2_2_1H_NMR%E6%B3%95%E3%81%AB%E3%82%88%E3%82%8B%E5%9C%9F%E5%A3%8C%E7%94%9F%E6%85%8B%E7%B3%BB%E3%81%AEDOM%E7%89%B9%E6%80%A7%E3%81%AE%E6%8A%8A%E6%8F%A1_%E3%83%95%E3%82%A3%E3%83%B3%E3%83%A9%E3%83%B3%E3%83%89_%E3%83%A9%E3%83%9F%E3%83%BC%E5%9C%B0%E5%9F%9F%E3%81%AE%E4%BA%8B%E4%BE%8B_2_%E5%9C%9F%E5%A3%8C%E6%9C%89%E6%A9%9F_%E7%84%A1%E6%A9%9F%E5%8C%96%E5%AD%A6_2012%E5%B9%B4%E5%BA%A6%E9%B3%A5%E5%8F%96%E5%A4%A7%E4%BC%9A_"><img alt="Research paper thumbnail of 2-2 ^1H NMR法による土壌生態系のDOM特性の把握 : フィンランド・ラミー地域の事例(2.土壌有機・無機化学,2012年度鳥取大会)" 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" href="https://www.academia.edu/87385744/2_2_1H_NMR%E6%B3%95%E3%81%AB%E3%82%88%E3%82%8B%E5%9C%9F%E5%A3%8C%E7%94%9F%E6%85%8B%E7%B3%BB%E3%81%AEDOM%E7%89%B9%E6%80%A7%E3%81%AE%E6%8A%8A%E6%8F%A1_%E3%83%95%E3%82%A3%E3%83%B3%E3%83%A9%E3%83%B3%E3%83%89_%E3%83%A9%E3%83%9F%E3%83%BC%E5%9C%B0%E5%9F%9F%E3%81%AE%E4%BA%8B%E4%BE%8B_2_%E5%9C%9F%E5%A3%8C%E6%9C%89%E6%A9%9F_%E7%84%A1%E6%A9%9F%E5%8C%96%E5%AD%A6_2012%E5%B9%B4%E5%BA%A6%E9%B3%A5%E5%8F%96%E5%A4%A7%E4%BC%9A_">2-2 ^1H NMR法による土壌生態系のDOM特性の把握 : フィンランド・ラミー地域の事例(2.土壌有機・無機化学,2012年度鳥取大会)</a></div><div class="wp-workCard_item"><span>Abstracts of the Annual Meetings, Japanese Society of Soil Science and Plant Nutrition</span><span>, 2012</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="87385744"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="87385744"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 87385744; 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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="87385743"><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/87385743/Winter_and_summer_comparison_of_biological_chemical_and_physical_conditions_in_seasonally_ice_covered_lakes"><img alt="Research paper thumbnail of Winter and summer comparison of biological, chemical, and physical conditions in seasonally ice-covered lakes" 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" href="https://www.academia.edu/87385743/Winter_and_summer_comparison_of_biological_chemical_and_physical_conditions_in_seasonally_ice_covered_lakes">Winter and summer comparison of biological, chemical, and physical conditions in seasonally ice-covered lakes</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The goal of this data collection was to compile diverse existing data in order to summarize and 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">The goal of this data collection was to compile diverse existing data in order to summarize and contrast ecologically relevant parameters in lakes during ice-on (winter) and ice-free (summer stratification) periods. There are 89 unique lakes in this dataset, ranging from small, shallow lakes to large, deep lakes. Lakes are from eleven different countries, primarily in North America and Europe; Antarctica is the only southern hemisphere location represented in the dataset. Variables collected include physical, chemical, and biological, as well as a suite of metadata variables. Chlorophyll a data are particularly well-represented across lakes, while many variables (e.g. zooplankton variables) are only available for a smaller subset of lakes. Temporal coverage for unique lake/sample stations range from one year to a span of 73 years, with 20 lake/stations having at least 30 years of data. Synthesis analyses based on this dataset are available in: Hampton et al. (2016). Ecology under la...</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="87385743"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="87385743"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 87385743; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=87385743]").text(description); $(".js-view-count[data-work-id=87385743]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 87385743; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='87385743']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 87385743, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=87385743]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":87385743,"title":"Winter and summer comparison of biological, chemical, and physical conditions in seasonally ice-covered lakes","translated_title":"","metadata":{"abstract":"The goal of this data collection was to compile diverse existing data in order to summarize and contrast ecologically relevant parameters in lakes during ice-on (winter) and ice-free (summer stratification) periods. 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Ecology under la...","publisher":"KNB Data Repository","publication_date":{"day":null,"month":null,"year":2016,"errors":{}}},"translated_abstract":"The goal of this data collection was to compile diverse existing data in order to summarize and contrast ecologically relevant parameters in lakes during ice-on (winter) and ice-free (summer stratification) periods. There are 89 unique lakes in this dataset, ranging from small, shallow lakes to large, deep lakes. Lakes are from eleven different countries, primarily in North America and Europe; Antarctica is the only southern hemisphere location represented in the dataset. Variables collected include physical, chemical, and biological, as well as a suite of metadata variables. Chlorophyll a data are particularly well-represented across lakes, while many variables (e.g. zooplankton variables) are only available for a smaller subset of lakes. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="87385742"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/87385742/Globally_distributed_lake_surface_water_temperatures_collected_in_situ_and_by_satellites_1985_2009"><img alt="Research paper thumbnail of Globally distributed lake surface water temperatures collected in situ and by satellites; 1985-2009" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/87385742/Globally_distributed_lake_surface_water_temperatures_collected_in_situ_and_by_satellites_1985_2009">Globally distributed lake surface water temperatures collected in situ and by satellites; 1985-2009</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="87385742"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="87385742"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 87385742; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=87385742]").text(description); $(".js-view-count[data-work-id=87385742]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 87385742; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='87385742']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 87385742, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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" } } $('.js-work-strip[data-work-id=87385742]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":87385742,"title":"Globally distributed lake surface water temperatures collected in situ and by satellites; 1985-2009","translated_title":"","metadata":{"publisher":"Environmental Data Initiative","publication_date":{"day":null,"month":null,"year":2015,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/87385742/Globally_distributed_lake_surface_water_temperatures_collected_in_situ_and_by_satellites_1985_2009","translated_internal_url":"","created_at":"2022-09-26T21:44:02.887-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":235980097,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Globally_distributed_lake_surface_water_temperatures_collected_in_situ_and_by_satellites_1985_2009","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":235980097,"first_name":"Lauri","middle_initials":null,"last_name":"Arvola","page_name":"LauriArvola","domain_name":"independent","created_at":"2022-09-15T04:35:21.476-07:00","display_name":"Lauri Arvola","url":"https://independent.academia.edu/LauriArvola"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":159937,"name":"In situ","url":"https://www.academia.edu/Documents/in/In_situ"}],"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="87385739"><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/87385739/E_2006_by_the_American_Society_of_Limnology_and_Oceanography_Inc_Experimental_d_13C_evidence_for_a_contribution_of_methane_to_pelagic_food_webs_in_lakes"><img alt="Research paper thumbnail of E 2006, by the American Society of Limnology and Oceanography, Inc. Experimental d 13C evidence for a contribution of methane to pelagic food webs in lakes" class="work-thumbnail" src="https://attachments.academia-assets.com/91608664/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/87385739/E_2006_by_the_American_Society_of_Limnology_and_Oceanography_Inc_Experimental_d_13C_evidence_for_a_contribution_of_methane_to_pelagic_food_webs_in_lakes">E 2006, by the American Society of Limnology and Oceanography, Inc. Experimental d 13C evidence for a contribution of methane to pelagic food webs in lakes</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We tested the hypothesis that low stable carbon isotope (d13C) values commonly observed for zoopl...</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">We tested the hypothesis that low stable carbon isotope (d13C) values commonly observed for zooplankton in humic lakes are due to their feeding on isotopically light methane-oxidizing microbes, and thus that methanederived carbon is important in the food webs of these lakes. In replicate laboratory cultures, Daphnia longispina, a common crustacean zooplankter in humic lakes, were fed microbial suspensions with or without enrichment by biogenic methane. The d13C values of Daphnia indicated consumption of 13C-depleted methanotrophic bacteria, while growth rates, survival, and reproduction of Daphnia in cultures enriched with methane were equal to or greater than those in nonenriched cultures. Results from lake enclosures during the autumn overturn period revealed a decrease in d13C of adult Daphnia from 240.5 % to 250.3%, reflecting extensive consumption of 13Cdepleted methanotrophic bacteria. Methane-derived carbon is a more important contribution to carbon flux through lake pelagic ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8176b08f3e646b7f2c631e82dc3895d9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":91608664,"asset_id":87385739,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/91608664/download_file?st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&st=MTczMjczMTEwMyw4LjIyMi4yMDguMTQ2&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="87385739"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="87385739"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 87385739; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=87385739]").text(description); $(".js-view-count[data-work-id=87385739]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 87385739; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='87385739']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 87385739, container: "", }); });</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-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.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: "8176b08f3e646b7f2c631e82dc3895d9" } } $('.js-work-strip[data-work-id=87385739]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":87385739,"title":"E 2006, by the American Society of Limnology and Oceanography, Inc. 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Results from lake enclosures during the autumn overturn period revealed a decrease in d13C of adult Daphnia from 240.5 % to 250.3%, reflecting extensive consumption of 13Cdepleted methanotrophic bacteria. Methane-derived carbon is a more important contribution to carbon flux through lake pelagic ...","publication_date":{"day":null,"month":null,"year":2014,"errors":{}}},"translated_abstract":"We tested the hypothesis that low stable carbon isotope (d13C) values commonly observed for zooplankton in humic lakes are due to their feeding on isotopically light methane-oxidizing microbes, and thus that methanederived carbon is important in the food webs of these lakes. In replicate laboratory cultures, Daphnia longispina, a common crustacean zooplankter in humic lakes, were fed microbial suspensions with or without enrichment by biogenic methane. 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