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href="https://www.academia.edu/Documents/in/Coupled_Human_and_Natural_Systems"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Coupled Human and Natural Systems"]}" data-trace="false" data-dom-id="Pill-react-component-cde535b7-add5-4d4c-aa6a-839895401798"></div> <div id="Pill-react-component-cde535b7-add5-4d4c-aa6a-839895401798"></div> </a></div></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by James (Sam) B Stribling</h3></div><div class="js-work-strip profile--work_container" data-work-id="125052345"><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/125052345/Landscape_changes_and_watershed_erosion_in_Prince_Georges_County_Maryland"><img alt="Research paper thumbnail of Landscape changes and watershed erosion in Prince George's County, Maryland" 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/125052345/Landscape_changes_and_watershed_erosion_in_Prince_Georges_County_Maryland">Landscape changes and watershed erosion in Prince George's County, Maryland</a></div><div class="wp-workCard_item"><span>River research and applications</span><span>, May 2, 2024</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="125052345"><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="125052345"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125052345; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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})(["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" } } $('.js-work-strip[data-work-id=125052345]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125052345,"title":"Landscape changes and watershed erosion in Prince George's County, Maryland","internal_url":"https://www.academia.edu/125052345/Landscape_changes_and_watershed_erosion_in_Prince_Georges_County_Maryland","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="125052344"><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/125052344/Towards_harmonized_standards_for_freshwater_biodiversity_monitoring_and_biological_assessment_using_benthic_macroinvertebrates"><img alt="Research paper thumbnail of Towards harmonized standards for freshwater biodiversity monitoring and biological assessment using benthic macroinvertebrates" 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/125052344/Towards_harmonized_standards_for_freshwater_biodiversity_monitoring_and_biological_assessment_using_benthic_macroinvertebrates">Towards harmonized standards for freshwater biodiversity monitoring and biological assessment using benthic macroinvertebrates</a></div><div class="wp-workCard_item"><span>Science of the total environment</span><span>, Mar 1, 2024</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Monitoring programs at sub-national and national scales lack coordination, harmonization, and sys...</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">Monitoring programs at sub-national and national scales lack coordination, harmonization, and systematic review and analysis at continental and global scales, and thus fail to adequately assess and evaluate drivers of biodiversity and ecosystem degradation and loss at large spatial scales. Here we review the state of the art, gaps and challenges in the freshwater assessment programs for both the biological condition (bioassessment) and biodiversity monitoring of freshwater ecosystems using the benthic macroinvertebrate community. To assess the existence of nationally- and regionally- (sub-nationally-) accepted freshwater benthic macroinvertebrate protocols that are put in practice/used in each country, we conducted a survey from November 2022 to May 2023. Responses from 110 respondents based in 67 countries were received. Although the responses varied in their consistency, the responses clearly demonstrated a lack of biodiversity monitoring being done at both national and sub-national levels for lakes, rivers and artificial waterbodies. Programs for bioassessment were more widespread, and in some cases even harmonized among several countries. We identified 20 gaps and challenges, which we classed into five major categories, these being (a) field sampling, (b) sample processing and identification, (c) metrics and indices, (d) assessment, and (e) other gaps and challenges. Above all, we identify the lack of harmonization as one of the most important gaps, hindering efficient collaboration and communication. We identify the IUCN SSC Global Freshwater Macroinvertebrate Sampling Protocols Task Force (GLOSAM) as a means to address the lack of globally-harmonized biodiversity monitoring and biological assessment protocols.</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="125052344"><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="125052344"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125052344; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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$a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125052332"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/125052332/Landscape_Changes_and_Watershed_Erosion_in_Prince_Georges_County_Maryland"><img alt="Research paper thumbnail of Landscape Changes and Watershed Erosion in Prince George's County, Maryland" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/125052332/Landscape_Changes_and_Watershed_Erosion_in_Prince_Georges_County_Maryland">Landscape Changes and Watershed Erosion in Prince George's County, Maryland</a></div><div class="wp-workCard_item"><span>Authorea (Authorea)</span><span>, Apr 13, 2024</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125052332"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125052332"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125052332; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=125052332]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125052332,"title":"Landscape Changes and Watershed Erosion in Prince George's County, Maryland","internal_url":"https://www.academia.edu/125052332/Landscape_Changes_and_Watershed_Erosion_in_Prince_Georges_County_Maryland","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="120007854"><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/120007854/Performance_Measures_for_Evaluating_and_Communicating_Data_Quality_in_Aquatic_Environmental_Monitoring_in_the_U_S"><img alt="Research paper thumbnail of Performance Measures for Evaluating and Communicating Data Quality in Aquatic Environmental Monitoring in the U.S" class="work-thumbnail" src="https://attachments.academia-assets.com/115296036/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/120007854/Performance_Measures_for_Evaluating_and_Communicating_Data_Quality_in_Aquatic_Environmental_Monitoring_in_the_U_S">Performance Measures for Evaluating and Communicating Data Quality in Aquatic Environmental Monitoring in the U.S</a></div><div class="wp-workCard_item"><span>Quality Control [Working Title]</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Quantitative data quality descriptors are important for evaluating and communicating acceptabilit...</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">Quantitative data quality descriptors are important for evaluating and communicating acceptability of information used in environmental monitoring and assessment. In this chapter, we present (1) the rationale for establishing and using performance measures and MQOs in routine quality control planning and analysis, (2) field and laboratory methods for capturing input data required for performance calculations, and (3) approaches for setting data acceptability thresholds and determining the need for corrective actions. Relevant examples are available from local, regional, and national programs in the U.S. charged with monitoring and assessing aquatic biological condition, physical habitat, contaminants, and toxicity testing. We will describe techniques for calculating and determining acceptability of performance measures, such as, among other data quality indicators, precision, accuracy, sensitivity, representativeness, and completeness of field sampling, laboratory processing, and da...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d5a55485ba482461f0c290a6f676d8d4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115296036,"asset_id":120007854,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115296036/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="120007854"><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="120007854"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 120007854; 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} }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="120007845"><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/120007845/Monitoring_and_Evaluating_Nonpoint_Source_Watershed_Projects"><img alt="Research paper thumbnail of Monitoring and Evaluating Nonpoint Source Watershed Projects" class="work-thumbnail" src="https://attachments.academia-assets.com/115296011/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/120007845/Monitoring_and_Evaluating_Nonpoint_Source_Watershed_Projects">Monitoring and Evaluating Nonpoint Source Watershed Projects</a></div><div class="wp-workCard_item"><span>Zenodo (CERN European Organization for Nuclear Research)</span><span>, May 1, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The diffuse nature of nonpoint sources and the variety of pollutants generated by them create a 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 diffuse nature of nonpoint sources and the variety of pollutants generated by them create a challenge for their effective control requiring a systematic approach based on assessment, planning, implementation, and evaluation. Monitoring is an important component in all four of these activities. While substantial progress has been made since 1972 in the protection and enhancement of water quality, much work is still needed to identify nonpoint source management strategies that are both effective and economically achievable under a wide range of conditions. Lack of adequate information on best management approaches is the major obstacle in developing effective watershed management strategies. We are relearning previous lessons because we have failed to institutionalize previous lessons learned from intensive monitoring efforts from 1970 to the present. This version of the nonpoint source monitoring guide (guide) incorporates the monitoring lessons learned from the Rural Clean Water Program (RCWP), the Clean Water Act Section 319 National Nonpoint Source Monitoring Program (NNPSMP), and other efforts to provide a state-of-the-reference for monitoring nonpoint source projects. Monitoring plays an important role in addressing the need to evaluate our watershed management efforts and document the lessons learned so we can use them as a foundation for future management efforts. This guide is written primarily for those who develop and implement monitoring plans for watershed management projects, but it can also be used by those who wish to evaluate the technical merits of monitoring proposals they might sponsor. It is an update to the 1997 Monitoring Guidance for Determining the Effectiveness of Nonpoint Source Controls (EPA 841-B-96-004) and includes many references to that document. The style and technical level of this guidance are intended to make it accessible to both beginners and experts alike. Numerous real-world examples from RCWP and NNPSMP projects are provided to give the reader a true sense of the challenges faced by those who have monitored waters impacted by nonpoint sources. Included in the guidance document are many references to other related resource materials for those seeking additional or more detailed information. This guidance begins with an overview of the extent and types of nonpoint source problems reported by the States and Tribes. The overview is intended to provide perspective and set the stage for the chapters that follow. Subsequent chapters describe the basic steps involved in designing a nonpoint source monitoring plan, including sections and chapters devoted to biological, photopoint, and land use monitoring. A chapter that focuses on ways to address the many unique challenges associated with nonpoint source monitoring is also included. The chapter on data analysis describes and illustrates techniques ranging from exploratory data analysis to advanced statistical approaches for assessing the effectiveness of both individual best management practices and watershed projects. Pollutant load estimation methods are also described in detail. A chapter on quality assurance and quality control is then followed by a chapter addressing monitoring costs. Good monitoring design begins with a clear monitoring objective and an understanding of the water quality problem or concern addressed. Because problems and objectives vary, there is no single approach that can be applied to nonpoint source monitoring efforts. It is hoped this guidance provides a foundation that allows practitioners to design monitoring programs that meet their unique needs.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fbc2276a8e0dcf72668e635ad77d800e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115296011,"asset_id":120007845,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115296011/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="120007845"><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="120007845"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 120007845; 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</script> <div class="js-work-strip profile--work_container" data-work-id="103159893"><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/103159893/Development_of_the_Karun_macroinvertebrate_tolerance_index_KMTI_for_semi_arid_mountainous_streams_in_Iran"><img alt="Research paper thumbnail of Development of the Karun macroinvertebrate tolerance index (KMTI) for semi-arid mountainous streams in Iran" 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/103159893/Development_of_the_Karun_macroinvertebrate_tolerance_index_KMTI_for_semi_arid_mountainous_streams_in_Iran">Development of the Karun macroinvertebrate tolerance index (KMTI) for semi-arid mountainous streams in Iran</a></div><div class="wp-workCard_item"><span>Environmental Monitoring and Assessment</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="103159893"><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="103159893"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103159893; 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</script> <div class="js-work-strip profile--work_container" data-work-id="103159892"><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/103159892/Spatiotemporal_variation_in_macroinvertebrate_community_composition_along_the_stressor_gradients_in_rivers_of_a_middle_eastern_basin"><img alt="Research paper thumbnail of Spatiotemporal variation in macroinvertebrate community composition along the stressor gradients in rivers of a middle-eastern basin" 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/103159892/Spatiotemporal_variation_in_macroinvertebrate_community_composition_along_the_stressor_gradients_in_rivers_of_a_middle_eastern_basin">Spatiotemporal variation in macroinvertebrate community composition along the stressor gradients in rivers of a middle-eastern basin</a></div><div class="wp-workCard_item"><span>International Journal of Environmental Science and Technology</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The study of community structure changes in relation to environmental gradients can help assessin...</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 study of community structure changes in relation to environmental gradients can help assessing and predicting community response to anthropogenic disturbances; however, such types of studies are rare in semi-arid regions. This study aimed at investigating the macroinvertebrate community composition in response to environmental variables in rivers of a semi-arid mountainous region, i.e., the Zagros mountain range, southwestern Iran. Environmental variables and macroinvertebrates were sampled at 54 sites in four seasons during 2018–2019. A total of 101 families of benthic macroinvertebrates from 8 classes and 21 orders were identified. Diversity and evenness indices showed significant temporal variation (p &lt; 0.05). Also, taxa richness and Ephemeroptera, Plecoptera, and Trichoptera taxa showed strong seasonal stability, whereas spatial variation among all metrics was significantly different (p &lt; 0.05). Taxa richness and density weekly correlated with altitudinal gradient. Correlation analysis, cluster analysis, non-metric multidimensional scaling, and canonical correspondence analysis demonstrated associations between community composition and environment variables, including definition of site groupings according to aggregated quality estimates. The results suggest that both physico-chemical variables of water (nitrate, total dissolved solids, Escherichia coli, temperature, chemical oxygen demand, and dissolved oxygen) and habitat structure (wetted river width, altitude, and riffles presence) determined the community composition of macroinvertebrates. Seasonal variation of community indices and community composition in our region seemed to differ from those estimated from subarctic, temperate and subtropical ecosystems. Our study provides a strong basis for further research, planning, and conservation of macroinvertebrate communities in the Karun River basin and similar river systems in the region.</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="103159892"><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="103159892"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103159892; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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} }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="103159891"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/103159891/Whole_Effluent_Toxicity_Testing"><img alt="Research paper thumbnail of Whole Effluent Toxicity Testing" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/103159891/Whole_Effluent_Toxicity_Testing">Whole Effluent Toxicity Testing</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="103159891"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="103159891"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103159891; 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window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=103159890]").text(description); $(".js-view-count[data-work-id=103159890]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 103159890; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='103159890']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="103159889"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/103159889/Use_of_habitat_assessment_in_evaluating_the_biological_integrity_of_stream_communities"><img alt="Research paper thumbnail of Use of habitat assessment in evaluating the biological integrity of stream communities" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/103159889/Use_of_habitat_assessment_in_evaluating_the_biological_integrity_of_stream_communities">Use of habitat assessment in evaluating the biological integrity of stream communities</a></div><div class="wp-workCard_item"><span>Biological Criteria: Research and Regulation. US …</span><span>, 1991</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="103159889"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="103159889"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103159889; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=103159889]").text(description); $(".js-view-count[data-work-id=103159889]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 103159889; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='103159889']"); 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" } } $('.js-work-strip[data-work-id=103159889]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":103159889,"title":"Use of habitat assessment in evaluating the biological integrity of stream communities","internal_url":"https://www.academia.edu/103159889/Use_of_habitat_assessment_in_evaluating_the_biological_integrity_of_stream_communities","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="103159883"><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/103159883/Systematics_of_the_North_American_Cyphon_collaris_species_complex_with_the_description_of_a_new_species_Coleoptera_Scirtidae_"><img alt="Research paper thumbnail of Systematics of the North American Cyphon collaris species complex with the description of a new species (Coleoptera: Scirtidae)" 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/103159883/Systematics_of_the_North_American_Cyphon_collaris_species_complex_with_the_description_of_a_new_species_Coleoptera_Scirtidae_">Systematics of the North American Cyphon collaris species complex with the description of a new species (Coleoptera: Scirtidae)</a></div><div class="wp-workCard_item"><span>Proceedings of the Entomological Society of …</span><span>, 1990</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... The speci-men illustrated (Figs. I, 2) is representative of the majority of males examined 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">... The speci-men illustrated (Figs. I, 2) is representative of the majority of males examined in this study. Nyholm (1972: 94, ﬁg. SF) illustrated a specimen exhibiting wider bifurcations. ... UCDC): Ta-marack Bog. Tamarack. Clinton Co., PA. 3-VI-1975. DJ Shetlar (3 males. UWEM). ...</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="103159883"><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="103159883"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103159883; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=103159883]").text(description); $(".js-view-count[data-work-id=103159883]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 103159883; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='103159883']"); 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" } } $('.js-work-strip[data-work-id=103159883]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":103159883,"title":"Systematics of the North American Cyphon collaris species complex with the description of a new species (Coleoptera: Scirtidae)","internal_url":"https://www.academia.edu/103159883/Systematics_of_the_North_American_Cyphon_collaris_species_complex_with_the_description_of_a_new_species_Coleoptera_Scirtidae_","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="76349551"><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/76349551/Defining_a_Disturbance_Gradient_in_a_Middle_Eastern_River_Basin"><img alt="Research paper thumbnail of Defining a Disturbance Gradient in a Middle-Eastern River Basin" 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/76349551/Defining_a_Disturbance_Gradient_in_a_Middle_Eastern_River_Basin">Defining a Disturbance Gradient in a Middle-Eastern River Basin</a></div><div class="wp-workCard_item"><span>Limnologica</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract A physical, chemical and biological characterization of river systems is needed to evalu...</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 A physical, chemical and biological characterization of river systems is needed to evaluate their ecological quality and support restoration programs. Herein, we describe an approach using water chemistry, physical structure and land use for identification of a disturbance gradient existing in the Karun River Basin. For this purpose, at each site, physical structure and physico-chemical data were collected once in each season for a total of 4 samples during the period (October 2018 - September 2019). Principal components analysis (PCA) of 17 variables identified five variables that were influential across all seasons: conductivity, total habitat score, stream morphology, clay &amp; silt, and sand. Of the 54 sites, 14, 26 and 14 sites were classified as least, moderate and most disturbed sites, respectively. The metric Ephemeroptera, Plecoptera and Trichoptera (EPT) taxa was used for validation of the classification. Results in different seasons showed that all the least disturbed sites (n = 14) were significantly different from moderate and most disturbed sites (p</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="76349551"><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="76349551"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76349551; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76349551]").text(description); $(".js-view-count[data-work-id=76349551]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76349551; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='76349551']"); 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" } } $('.js-work-strip[data-work-id=76349551]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":76349551,"title":"Defining a Disturbance Gradient in a Middle-Eastern River Basin","internal_url":"https://www.academia.edu/76349551/Defining_a_Disturbance_Gradient_in_a_Middle_Eastern_River_Basin","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="76349545"><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/76349545/Relationship_of_taxonomic_error_to_frequency_of_observation"><img alt="Research paper thumbnail of Relationship of taxonomic error to frequency of observation" class="work-thumbnail" src="https://attachments.academia-assets.com/84084517/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/76349545/Relationship_of_taxonomic_error_to_frequency_of_observation">Relationship of taxonomic error to frequency of observation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Biological nomenclature is the entry point to a wealth of information related to or associated wi...</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">Biological nomenclature is the entry point to a wealth of information related to or associated with living entities. When applied accurately and consistently, communication between and among researchers and investigators is enhanced, leading to advancements in understanding and progress in research programs. Based on freshwater benthic macroinvertebrate taxonomic identifications, inter-laboratory comparisons of &gt;900 samples taken from rivers, streams, and lakes across the U.S., including the Great Lakes, provided data on taxon-specific error rates. Using the error rates in combination with frequency of observation (FREQ; as a surrogate for rarity), six uncertainty/frequency classes (UFC) are proposed for approximately 1,000 taxa. The UFC, error rates, FREQ each are potentially useful for additional analyses related to interpreting biological assessment results and/or stressor response relationships, as weighting factors for various aspects of ecological condition or biodiversity ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8b8ae83143ce0ac76fa44879f4597290" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":84084517,"asset_id":76349545,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/84084517/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="76349545"><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="76349545"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76349545; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76349545]").text(description); $(".js-view-count[data-work-id=76349545]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76349545; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='76349545']"); 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: "8b8ae83143ce0ac76fa44879f4597290" } } $('.js-work-strip[data-work-id=76349545]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":76349545,"title":"Relationship of taxonomic error to frequency of observation","internal_url":"https://www.academia.edu/76349545/Relationship_of_taxonomic_error_to_frequency_of_observation","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[{"id":84084517,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/84084517/thumbnails/1.jpg","file_name":"2020.09.04.283317.full.pdf","download_url":"https://www.academia.edu/attachments/84084517/download_file","bulk_download_file_name":"Relationship_of_taxonomic_error_to_frequ.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/84084517/2020.09.04.283317.full-libre.pdf?1649873028=\u0026response-content-disposition=attachment%3B+filename%3DRelationship_of_taxonomic_error_to_frequ.pdf\u0026Expires=1740910626\u0026Signature=C0SleZD7nPsfipp~KIOgu6vIw3iSkB4I0pqhtOFaetXV024iEijNDrcVe0TQtxmTRcXGGFOeHX9wvZsnnl9Ei7bLWIueHyMz5z81hLcuK7BU1AQqQR0ljfIXyO1Yla8NCioeJm7RTej8FHfm-jDPUbKPpZaDPQluIHOotu1Y1esq-Swh9AJ8v~OIkIl4fxXacB3uyWzPkHdSFyVXRVhs9ZvuttiiiLpL3tBcPp9f0D1bQF74LFxiIZ8-1OAJQKakRhR4n90L2owx1NHai-CC1CzgxBfc1OZ0MtIDlmqeUQSQSw0XiOGnZII6sCwbD7Srim1iRmOjMNfEJBr321mFHQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, 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="76349542"><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/76349542/Controlling_Bias_and_Managing_Effort_in_Benthic_Macroinvertebrate_Sorting_and_Subsampling"><img alt="Research paper thumbnail of Controlling Bias and Managing Effort in Benthic Macroinvertebrate Sorting and Subsampling" 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/76349542/Controlling_Bias_and_Managing_Effort_in_Benthic_Macroinvertebrate_Sorting_and_Subsampling">Controlling Bias and Managing Effort in Benthic Macroinvertebrate Sorting and Subsampling</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Laboratory benthic macroinvertebrate sample processing is an important yet time-consuming aspect ...</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">Laboratory benthic macroinvertebrate sample processing is an important yet time-consuming aspect of biological assessments. Using a 30-grid square Caton sorting tray, many protocols specify that grids are selected and organisms picked until the target number is reached. We evaluated level of effort expenditures for 5 different county, state, and national level projects comprising a total of 730 samples with target levels of 100, 200, 300, and 500 organisms. Up to 26% of the samples did not reach the project-specific target level, even when the entire sample was sorted. Reasons vary for the sparseness of samples, ranging from extremely heavy impairment, naturally low productivity, or potentially poor field sampling. In these cases it is often obvious, after only a portion of the sample has been sorted, that the target will not be attained. We describe the capturing of QC information or sorting and subsampling bias, quantified as the proportion of missed specimens recovered by independent re-checks, and suggest a performance characteristic of sorting efficiency &gt;90%. We also propose a potential stop-sort criterion, where, if used in the projects we evaluated, would have saved approximately 1650 person-hours.</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="76349542"><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="76349542"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76349542; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76349542]").text(description); $(".js-view-count[data-work-id=76349542]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76349542; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='76349542']"); 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" } } $('.js-work-strip[data-work-id=76349542]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":76349542,"title":"Controlling Bias and Managing Effort in Benthic Macroinvertebrate Sorting and Subsampling","internal_url":"https://www.academia.edu/76349542/Controlling_Bias_and_Managing_Effort_in_Benthic_Macroinvertebrate_Sorting_and_Subsampling","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="76349539"><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/76349539/Whole_Effluent_Toxicity_Testing_Study_Plan_for_Field_Validation"><img alt="Research paper thumbnail of Whole Effluent Toxicity Testing: Study Plan for Field Validation" 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/76349539/Whole_Effluent_Toxicity_Testing_Study_Plan_for_Field_Validation">Whole Effluent Toxicity Testing: Study Plan for Field Validation</a></div><div class="wp-workCard_item"><span>Water Intelligence Online</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Under the National Pollution Discharge Elimination System (NPDES), many municipal and industrial ...</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">Under the National Pollution Discharge Elimination System (NPDES), many municipal and industrial wastewater treatment facilities must perform Whole Effluent Toxicity (WET) Testing. Regulatory agencies determine the level of compliance of each facility by making inferences about the results of these tests. There has been some concern regarding appropriate ways to integrate WET tests into NPDES permits. The central issue of this concern involves determining the relationship between WET tests and instream biological conditions. Previous research (WERF project 95-HHE-1) has examined this issue using historical data. Because of issues with data comparability, i.e. questionable data quality, and project design, results were inconclusive. This study plan was designed to collect new data on method performance for both WET and bioassessment that would help answer the outstanding question. The study plan was designed using a Data Quality Objective (DQO) approach in which DQOs and MQOs were defined. These DQOs and MQOs were characterized using technical input from many scientists from federal, state, and private organizations. It was through this effort that certain technical design issues arose that needed further investigation before implementing the definitive study. Among these issues were determining if DQOs and MQOs were achievable, and determining appropriate biological assessment methods for various ecoregions (e.g. effluent dependent streams in the arid west). In order to appropriately address these issues, it was determined that a pilot study would be implemented before the definitive study. The pilot study is designed as a one-year study in which participating facilities will perform quarterly WET tests (Ceriodaphnia, P. promelas, Selenastrum) and at least one bioassessment (macroinvertebrate, fish, algae) as well as providing other prescribed data requirements. Results of the pilot will provide answers to technique design issues and will ultimately determine the most appropriate study design for the definitive study. This title belongs to WERF Research Report Series ISBN: 9781843396673 (Print) ISBN: 9781780403182 (eBook)</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="76349539"><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="76349539"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76349539; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76349539]").text(description); $(".js-view-count[data-work-id=76349539]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76349539; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='76349539']"); 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" } } $('.js-work-strip[data-work-id=76349539]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":76349539,"title":"Whole Effluent Toxicity Testing: Study Plan for Field Validation","internal_url":"https://www.academia.edu/76349539/Whole_Effluent_Toxicity_Testing_Study_Plan_for_Field_Validation","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="76349537"><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/76349537/Partitioning_Error_Sources_for_Quality_Control_and_Comparability_Analysis_in_Biological_Monitoring_and_Assessment"><img alt="Research paper thumbnail of Partitioning Error Sources for Quality Control and Comparability Analysis in Biological Monitoring and Assessment" class="work-thumbnail" src="https://attachments.academia-assets.com/84084515/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/76349537/Partitioning_Error_Sources_for_Quality_Control_and_Comparability_Analysis_in_Biological_Monitoring_and_Assessment">Partitioning Error Sources for Quality Control and Comparability Analysis in Biological Monitoring and Assessment</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">"…measurements are not passive accountings of an objective world but active interactions in which...</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">"…measurements are not passive accountings of an objective world but active interactions in which the thing measured and the way it is measured contribute inseparably to the outcome." (Lindley 2007: p. 154, attributing the concept to Neils Bohr) "The experienced scientist has to learn to anticipate the possible sources of systematic error..." (Taylor 1997: p. 97) "No simple theory tells us what to do about systematic errors. In fact, the only theory of systematic errors is that they must be identified and reduced...." 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="4672265" id="papers"><div class="js-work-strip profile--work_container" data-work-id="125052345"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/125052345/Landscape_changes_and_watershed_erosion_in_Prince_Georges_County_Maryland"><img alt="Research paper thumbnail of Landscape changes and watershed erosion in Prince George's County, Maryland" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/125052345/Landscape_changes_and_watershed_erosion_in_Prince_Georges_County_Maryland">Landscape changes and watershed erosion in Prince George's County, Maryland</a></div><div class="wp-workCard_item"><span>River research and applications</span><span>, May 2, 2024</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125052345"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125052345"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125052345; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125052345]").text(description); $(".js-view-count[data-work-id=125052345]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125052345; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125052345']"); 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" } } $('.js-work-strip[data-work-id=125052345]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125052345,"title":"Landscape changes and watershed erosion in Prince George's County, Maryland","internal_url":"https://www.academia.edu/125052345/Landscape_changes_and_watershed_erosion_in_Prince_Georges_County_Maryland","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="125052344"><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/125052344/Towards_harmonized_standards_for_freshwater_biodiversity_monitoring_and_biological_assessment_using_benthic_macroinvertebrates"><img alt="Research paper thumbnail of Towards harmonized standards for freshwater biodiversity monitoring and biological assessment using benthic macroinvertebrates" 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/125052344/Towards_harmonized_standards_for_freshwater_biodiversity_monitoring_and_biological_assessment_using_benthic_macroinvertebrates">Towards harmonized standards for freshwater biodiversity monitoring and biological assessment using benthic macroinvertebrates</a></div><div class="wp-workCard_item"><span>Science of the total environment</span><span>, Mar 1, 2024</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Monitoring programs at sub-national and national scales lack coordination, harmonization, and sys...</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">Monitoring programs at sub-national and national scales lack coordination, harmonization, and systematic review and analysis at continental and global scales, and thus fail to adequately assess and evaluate drivers of biodiversity and ecosystem degradation and loss at large spatial scales. Here we review the state of the art, gaps and challenges in the freshwater assessment programs for both the biological condition (bioassessment) and biodiversity monitoring of freshwater ecosystems using the benthic macroinvertebrate community. To assess the existence of nationally- and regionally- (sub-nationally-) accepted freshwater benthic macroinvertebrate protocols that are put in practice/used in each country, we conducted a survey from November 2022 to May 2023. Responses from 110 respondents based in 67 countries were received. Although the responses varied in their consistency, the responses clearly demonstrated a lack of biodiversity monitoring being done at both national and sub-national levels for lakes, rivers and artificial waterbodies. Programs for bioassessment were more widespread, and in some cases even harmonized among several countries. We identified 20 gaps and challenges, which we classed into five major categories, these being (a) field sampling, (b) sample processing and identification, (c) metrics and indices, (d) assessment, and (e) other gaps and challenges. Above all, we identify the lack of harmonization as one of the most important gaps, hindering efficient collaboration and communication. We identify the IUCN SSC Global Freshwater Macroinvertebrate Sampling Protocols Task Force (GLOSAM) as a means to address the lack of globally-harmonized biodiversity monitoring and biological assessment protocols.</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="125052344"><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="125052344"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125052344; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125052344]").text(description); $(".js-view-count[data-work-id=125052344]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125052344; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125052344']"); 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" } } $('.js-work-strip[data-work-id=125052344]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125052344,"title":"Towards harmonized standards for freshwater biodiversity monitoring and biological assessment using benthic macroinvertebrates","internal_url":"https://www.academia.edu/125052344/Towards_harmonized_standards_for_freshwater_biodiversity_monitoring_and_biological_assessment_using_benthic_macroinvertebrates","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="125052332"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/125052332/Landscape_Changes_and_Watershed_Erosion_in_Prince_Georges_County_Maryland"><img alt="Research paper thumbnail of Landscape Changes and Watershed Erosion in Prince George's County, Maryland" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/125052332/Landscape_Changes_and_Watershed_Erosion_in_Prince_Georges_County_Maryland">Landscape Changes and Watershed Erosion in Prince George's County, Maryland</a></div><div class="wp-workCard_item"><span>Authorea (Authorea)</span><span>, Apr 13, 2024</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125052332"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125052332"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125052332; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=125052332]").text(description); $(".js-view-count[data-work-id=125052332]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 125052332; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='125052332']"); 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" } } $('.js-work-strip[data-work-id=125052332]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":125052332,"title":"Landscape Changes and Watershed Erosion in Prince George's County, Maryland","internal_url":"https://www.academia.edu/125052332/Landscape_Changes_and_Watershed_Erosion_in_Prince_Georges_County_Maryland","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="120007854"><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/120007854/Performance_Measures_for_Evaluating_and_Communicating_Data_Quality_in_Aquatic_Environmental_Monitoring_in_the_U_S"><img alt="Research paper thumbnail of Performance Measures for Evaluating and Communicating Data Quality in Aquatic Environmental Monitoring in the U.S" class="work-thumbnail" src="https://attachments.academia-assets.com/115296036/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/120007854/Performance_Measures_for_Evaluating_and_Communicating_Data_Quality_in_Aquatic_Environmental_Monitoring_in_the_U_S">Performance Measures for Evaluating and Communicating Data Quality in Aquatic Environmental Monitoring in the U.S</a></div><div class="wp-workCard_item"><span>Quality Control [Working Title]</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Quantitative data quality descriptors are important for evaluating and communicating acceptabilit...</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">Quantitative data quality descriptors are important for evaluating and communicating acceptability of information used in environmental monitoring and assessment. In this chapter, we present (1) the rationale for establishing and using performance measures and MQOs in routine quality control planning and analysis, (2) field and laboratory methods for capturing input data required for performance calculations, and (3) approaches for setting data acceptability thresholds and determining the need for corrective actions. Relevant examples are available from local, regional, and national programs in the U.S. charged with monitoring and assessing aquatic biological condition, physical habitat, contaminants, and toxicity testing. We will describe techniques for calculating and determining acceptability of performance measures, such as, among other data quality indicators, precision, accuracy, sensitivity, representativeness, and completeness of field sampling, laboratory processing, and da...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d5a55485ba482461f0c290a6f676d8d4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115296036,"asset_id":120007854,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115296036/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="120007854"><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="120007854"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 120007854; 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} }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="120007845"><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/120007845/Monitoring_and_Evaluating_Nonpoint_Source_Watershed_Projects"><img alt="Research paper thumbnail of Monitoring and Evaluating Nonpoint Source Watershed Projects" class="work-thumbnail" src="https://attachments.academia-assets.com/115296011/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/120007845/Monitoring_and_Evaluating_Nonpoint_Source_Watershed_Projects">Monitoring and Evaluating Nonpoint Source Watershed Projects</a></div><div class="wp-workCard_item"><span>Zenodo (CERN European Organization for Nuclear Research)</span><span>, May 1, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The diffuse nature of nonpoint sources and the variety of pollutants generated by them create a 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 diffuse nature of nonpoint sources and the variety of pollutants generated by them create a challenge for their effective control requiring a systematic approach based on assessment, planning, implementation, and evaluation. Monitoring is an important component in all four of these activities. While substantial progress has been made since 1972 in the protection and enhancement of water quality, much work is still needed to identify nonpoint source management strategies that are both effective and economically achievable under a wide range of conditions. Lack of adequate information on best management approaches is the major obstacle in developing effective watershed management strategies. We are relearning previous lessons because we have failed to institutionalize previous lessons learned from intensive monitoring efforts from 1970 to the present. This version of the nonpoint source monitoring guide (guide) incorporates the monitoring lessons learned from the Rural Clean Water Program (RCWP), the Clean Water Act Section 319 National Nonpoint Source Monitoring Program (NNPSMP), and other efforts to provide a state-of-the-reference for monitoring nonpoint source projects. Monitoring plays an important role in addressing the need to evaluate our watershed management efforts and document the lessons learned so we can use them as a foundation for future management efforts. This guide is written primarily for those who develop and implement monitoring plans for watershed management projects, but it can also be used by those who wish to evaluate the technical merits of monitoring proposals they might sponsor. It is an update to the 1997 Monitoring Guidance for Determining the Effectiveness of Nonpoint Source Controls (EPA 841-B-96-004) and includes many references to that document. The style and technical level of this guidance are intended to make it accessible to both beginners and experts alike. Numerous real-world examples from RCWP and NNPSMP projects are provided to give the reader a true sense of the challenges faced by those who have monitored waters impacted by nonpoint sources. Included in the guidance document are many references to other related resource materials for those seeking additional or more detailed information. This guidance begins with an overview of the extent and types of nonpoint source problems reported by the States and Tribes. The overview is intended to provide perspective and set the stage for the chapters that follow. Subsequent chapters describe the basic steps involved in designing a nonpoint source monitoring plan, including sections and chapters devoted to biological, photopoint, and land use monitoring. A chapter that focuses on ways to address the many unique challenges associated with nonpoint source monitoring is also included. The chapter on data analysis describes and illustrates techniques ranging from exploratory data analysis to advanced statistical approaches for assessing the effectiveness of both individual best management practices and watershed projects. Pollutant load estimation methods are also described in detail. A chapter on quality assurance and quality control is then followed by a chapter addressing monitoring costs. Good monitoring design begins with a clear monitoring objective and an understanding of the water quality problem or concern addressed. Because problems and objectives vary, there is no single approach that can be applied to nonpoint source monitoring efforts. It is hoped this guidance provides a foundation that allows practitioners to design monitoring programs that meet their unique needs.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fbc2276a8e0dcf72668e635ad77d800e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":115296011,"asset_id":120007845,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/115296011/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="120007845"><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="120007845"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 120007845; 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</script> <div class="js-work-strip profile--work_container" data-work-id="103159893"><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/103159893/Development_of_the_Karun_macroinvertebrate_tolerance_index_KMTI_for_semi_arid_mountainous_streams_in_Iran"><img alt="Research paper thumbnail of Development of the Karun macroinvertebrate tolerance index (KMTI) for semi-arid mountainous streams in Iran" 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/103159893/Development_of_the_Karun_macroinvertebrate_tolerance_index_KMTI_for_semi_arid_mountainous_streams_in_Iran">Development of the Karun macroinvertebrate tolerance index (KMTI) for semi-arid mountainous streams in Iran</a></div><div class="wp-workCard_item"><span>Environmental Monitoring and Assessment</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="103159893"><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="103159893"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103159893; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=103159893]").text(description); $(".js-view-count[data-work-id=103159893]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 103159893; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='103159893']"); 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); 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</script> <div class="js-work-strip profile--work_container" data-work-id="103159892"><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/103159892/Spatiotemporal_variation_in_macroinvertebrate_community_composition_along_the_stressor_gradients_in_rivers_of_a_middle_eastern_basin"><img alt="Research paper thumbnail of Spatiotemporal variation in macroinvertebrate community composition along the stressor gradients in rivers of a middle-eastern basin" 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/103159892/Spatiotemporal_variation_in_macroinvertebrate_community_composition_along_the_stressor_gradients_in_rivers_of_a_middle_eastern_basin">Spatiotemporal variation in macroinvertebrate community composition along the stressor gradients in rivers of a middle-eastern basin</a></div><div class="wp-workCard_item"><span>International Journal of Environmental Science and Technology</span><span>, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The study of community structure changes in relation to environmental gradients can help assessin...</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 study of community structure changes in relation to environmental gradients can help assessing and predicting community response to anthropogenic disturbances; however, such types of studies are rare in semi-arid regions. This study aimed at investigating the macroinvertebrate community composition in response to environmental variables in rivers of a semi-arid mountainous region, i.e., the Zagros mountain range, southwestern Iran. Environmental variables and macroinvertebrates were sampled at 54 sites in four seasons during 2018–2019. A total of 101 families of benthic macroinvertebrates from 8 classes and 21 orders were identified. Diversity and evenness indices showed significant temporal variation (p &lt; 0.05). Also, taxa richness and Ephemeroptera, Plecoptera, and Trichoptera taxa showed strong seasonal stability, whereas spatial variation among all metrics was significantly different (p &lt; 0.05). Taxa richness and density weekly correlated with altitudinal gradient. Correlation analysis, cluster analysis, non-metric multidimensional scaling, and canonical correspondence analysis demonstrated associations between community composition and environment variables, including definition of site groupings according to aggregated quality estimates. The results suggest that both physico-chemical variables of water (nitrate, total dissolved solids, Escherichia coli, temperature, chemical oxygen demand, and dissolved oxygen) and habitat structure (wetted river width, altitude, and riffles presence) determined the community composition of macroinvertebrates. Seasonal variation of community indices and community composition in our region seemed to differ from those estimated from subarctic, temperate and subtropical ecosystems. Our study provides a strong basis for further research, planning, and conservation of macroinvertebrate communities in the Karun River basin and similar river systems in the region.</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="103159892"><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="103159892"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103159892; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="103159889"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/103159889/Use_of_habitat_assessment_in_evaluating_the_biological_integrity_of_stream_communities"><img alt="Research paper thumbnail of Use of habitat assessment in evaluating the biological integrity of stream communities" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/103159889/Use_of_habitat_assessment_in_evaluating_the_biological_integrity_of_stream_communities">Use of habitat assessment in evaluating the biological integrity of stream communities</a></div><div class="wp-workCard_item"><span>Biological Criteria: Research and Regulation. US …</span><span>, 1991</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="103159889"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="103159889"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103159889; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=103159889]").text(description); $(".js-view-count[data-work-id=103159889]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 103159889; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='103159889']"); 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" } } $('.js-work-strip[data-work-id=103159889]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":103159889,"title":"Use of habitat assessment in evaluating the biological integrity of stream communities","internal_url":"https://www.academia.edu/103159889/Use_of_habitat_assessment_in_evaluating_the_biological_integrity_of_stream_communities","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="103159883"><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/103159883/Systematics_of_the_North_American_Cyphon_collaris_species_complex_with_the_description_of_a_new_species_Coleoptera_Scirtidae_"><img alt="Research paper thumbnail of Systematics of the North American Cyphon collaris species complex with the description of a new species (Coleoptera: Scirtidae)" 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/103159883/Systematics_of_the_North_American_Cyphon_collaris_species_complex_with_the_description_of_a_new_species_Coleoptera_Scirtidae_">Systematics of the North American Cyphon collaris species complex with the description of a new species (Coleoptera: Scirtidae)</a></div><div class="wp-workCard_item"><span>Proceedings of the Entomological Society of …</span><span>, 1990</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">... The speci-men illustrated (Figs. I, 2) is representative of the majority of males examined 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">... The speci-men illustrated (Figs. I, 2) is representative of the majority of males examined in this study. Nyholm (1972: 94, ﬁg. SF) illustrated a specimen exhibiting wider bifurcations. ... UCDC): Ta-marack Bog. Tamarack. Clinton Co., PA. 3-VI-1975. DJ Shetlar (3 males. UWEM). ...</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="103159883"><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="103159883"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 103159883; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=103159883]").text(description); $(".js-view-count[data-work-id=103159883]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 103159883; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='103159883']"); 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" } } $('.js-work-strip[data-work-id=103159883]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":103159883,"title":"Systematics of the North American Cyphon collaris species complex with the description of a new species (Coleoptera: Scirtidae)","internal_url":"https://www.academia.edu/103159883/Systematics_of_the_North_American_Cyphon_collaris_species_complex_with_the_description_of_a_new_species_Coleoptera_Scirtidae_","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="76349551"><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/76349551/Defining_a_Disturbance_Gradient_in_a_Middle_Eastern_River_Basin"><img alt="Research paper thumbnail of Defining a Disturbance Gradient in a Middle-Eastern River Basin" 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/76349551/Defining_a_Disturbance_Gradient_in_a_Middle_Eastern_River_Basin">Defining a Disturbance Gradient in a Middle-Eastern River Basin</a></div><div class="wp-workCard_item"><span>Limnologica</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract A physical, chemical and biological characterization of river systems is needed to evalu...</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 A physical, chemical and biological characterization of river systems is needed to evaluate their ecological quality and support restoration programs. Herein, we describe an approach using water chemistry, physical structure and land use for identification of a disturbance gradient existing in the Karun River Basin. For this purpose, at each site, physical structure and physico-chemical data were collected once in each season for a total of 4 samples during the period (October 2018 - September 2019). Principal components analysis (PCA) of 17 variables identified five variables that were influential across all seasons: conductivity, total habitat score, stream morphology, clay &amp; silt, and sand. Of the 54 sites, 14, 26 and 14 sites were classified as least, moderate and most disturbed sites, respectively. The metric Ephemeroptera, Plecoptera and Trichoptera (EPT) taxa was used for validation of the classification. Results in different seasons showed that all the least disturbed sites (n = 14) were significantly different from moderate and most disturbed sites (p</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="76349551"><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="76349551"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76349551; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76349551]").text(description); $(".js-view-count[data-work-id=76349551]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76349551; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='76349551']"); 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" } } $('.js-work-strip[data-work-id=76349551]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":76349551,"title":"Defining a Disturbance Gradient in a Middle-Eastern River Basin","internal_url":"https://www.academia.edu/76349551/Defining_a_Disturbance_Gradient_in_a_Middle_Eastern_River_Basin","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="76349545"><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/76349545/Relationship_of_taxonomic_error_to_frequency_of_observation"><img alt="Research paper thumbnail of Relationship of taxonomic error to frequency of observation" class="work-thumbnail" src="https://attachments.academia-assets.com/84084517/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/76349545/Relationship_of_taxonomic_error_to_frequency_of_observation">Relationship of taxonomic error to frequency of observation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Biological nomenclature is the entry point to a wealth of information related to or associated wi...</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">Biological nomenclature is the entry point to a wealth of information related to or associated with living entities. When applied accurately and consistently, communication between and among researchers and investigators is enhanced, leading to advancements in understanding and progress in research programs. Based on freshwater benthic macroinvertebrate taxonomic identifications, inter-laboratory comparisons of &gt;900 samples taken from rivers, streams, and lakes across the U.S., including the Great Lakes, provided data on taxon-specific error rates. Using the error rates in combination with frequency of observation (FREQ; as a surrogate for rarity), six uncertainty/frequency classes (UFC) are proposed for approximately 1,000 taxa. The UFC, error rates, FREQ each are potentially useful for additional analyses related to interpreting biological assessment results and/or stressor response relationships, as weighting factors for various aspects of ecological condition or biodiversity ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8b8ae83143ce0ac76fa44879f4597290" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":84084517,"asset_id":76349545,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/84084517/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="76349545"><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="76349545"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76349545; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76349545]").text(description); $(".js-view-count[data-work-id=76349545]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76349545; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='76349545']"); 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: "8b8ae83143ce0ac76fa44879f4597290" } } $('.js-work-strip[data-work-id=76349545]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":76349545,"title":"Relationship of taxonomic error to frequency of observation","internal_url":"https://www.academia.edu/76349545/Relationship_of_taxonomic_error_to_frequency_of_observation","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[{"id":84084517,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/84084517/thumbnails/1.jpg","file_name":"2020.09.04.283317.full.pdf","download_url":"https://www.academia.edu/attachments/84084517/download_file","bulk_download_file_name":"Relationship_of_taxonomic_error_to_frequ.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/84084517/2020.09.04.283317.full-libre.pdf?1649873028=\u0026response-content-disposition=attachment%3B+filename%3DRelationship_of_taxonomic_error_to_frequ.pdf\u0026Expires=1740910626\u0026Signature=C0SleZD7nPsfipp~KIOgu6vIw3iSkB4I0pqhtOFaetXV024iEijNDrcVe0TQtxmTRcXGGFOeHX9wvZsnnl9Ei7bLWIueHyMz5z81hLcuK7BU1AQqQR0ljfIXyO1Yla8NCioeJm7RTej8FHfm-jDPUbKPpZaDPQluIHOotu1Y1esq-Swh9AJ8v~OIkIl4fxXacB3uyWzPkHdSFyVXRVhs9ZvuttiiiLpL3tBcPp9f0D1bQF74LFxiIZ8-1OAJQKakRhR4n90L2owx1NHai-CC1CzgxBfc1OZ0MtIDlmqeUQSQSw0XiOGnZII6sCwbD7Srim1iRmOjMNfEJBr321mFHQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, 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="76349542"><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/76349542/Controlling_Bias_and_Managing_Effort_in_Benthic_Macroinvertebrate_Sorting_and_Subsampling"><img alt="Research paper thumbnail of Controlling Bias and Managing Effort in Benthic Macroinvertebrate Sorting and Subsampling" 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/76349542/Controlling_Bias_and_Managing_Effort_in_Benthic_Macroinvertebrate_Sorting_and_Subsampling">Controlling Bias and Managing Effort in Benthic Macroinvertebrate Sorting and Subsampling</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Laboratory benthic macroinvertebrate sample processing is an important yet time-consuming aspect ...</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">Laboratory benthic macroinvertebrate sample processing is an important yet time-consuming aspect of biological assessments. Using a 30-grid square Caton sorting tray, many protocols specify that grids are selected and organisms picked until the target number is reached. We evaluated level of effort expenditures for 5 different county, state, and national level projects comprising a total of 730 samples with target levels of 100, 200, 300, and 500 organisms. Up to 26% of the samples did not reach the project-specific target level, even when the entire sample was sorted. Reasons vary for the sparseness of samples, ranging from extremely heavy impairment, naturally low productivity, or potentially poor field sampling. In these cases it is often obvious, after only a portion of the sample has been sorted, that the target will not be attained. We describe the capturing of QC information or sorting and subsampling bias, quantified as the proportion of missed specimens recovered by independent re-checks, and suggest a performance characteristic of sorting efficiency &gt;90%. We also propose a potential stop-sort criterion, where, if used in the projects we evaluated, would have saved approximately 1650 person-hours.</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="76349542"><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="76349542"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76349542; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76349542]").text(description); $(".js-view-count[data-work-id=76349542]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76349542; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='76349542']"); 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" } } $('.js-work-strip[data-work-id=76349542]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":76349542,"title":"Controlling Bias and Managing Effort in Benthic Macroinvertebrate Sorting and Subsampling","internal_url":"https://www.academia.edu/76349542/Controlling_Bias_and_Managing_Effort_in_Benthic_Macroinvertebrate_Sorting_and_Subsampling","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="76349539"><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/76349539/Whole_Effluent_Toxicity_Testing_Study_Plan_for_Field_Validation"><img alt="Research paper thumbnail of Whole Effluent Toxicity Testing: Study Plan for Field Validation" 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/76349539/Whole_Effluent_Toxicity_Testing_Study_Plan_for_Field_Validation">Whole Effluent Toxicity Testing: Study Plan for Field Validation</a></div><div class="wp-workCard_item"><span>Water Intelligence Online</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Under the National Pollution Discharge Elimination System (NPDES), many municipal and industrial ...</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">Under the National Pollution Discharge Elimination System (NPDES), many municipal and industrial wastewater treatment facilities must perform Whole Effluent Toxicity (WET) Testing. Regulatory agencies determine the level of compliance of each facility by making inferences about the results of these tests. There has been some concern regarding appropriate ways to integrate WET tests into NPDES permits. The central issue of this concern involves determining the relationship between WET tests and instream biological conditions. Previous research (WERF project 95-HHE-1) has examined this issue using historical data. Because of issues with data comparability, i.e. questionable data quality, and project design, results were inconclusive. This study plan was designed to collect new data on method performance for both WET and bioassessment that would help answer the outstanding question. The study plan was designed using a Data Quality Objective (DQO) approach in which DQOs and MQOs were defined. These DQOs and MQOs were characterized using technical input from many scientists from federal, state, and private organizations. It was through this effort that certain technical design issues arose that needed further investigation before implementing the definitive study. Among these issues were determining if DQOs and MQOs were achievable, and determining appropriate biological assessment methods for various ecoregions (e.g. effluent dependent streams in the arid west). In order to appropriately address these issues, it was determined that a pilot study would be implemented before the definitive study. The pilot study is designed as a one-year study in which participating facilities will perform quarterly WET tests (Ceriodaphnia, P. promelas, Selenastrum) and at least one bioassessment (macroinvertebrate, fish, algae) as well as providing other prescribed data requirements. Results of the pilot will provide answers to technique design issues and will ultimately determine the most appropriate study design for the definitive study. This title belongs to WERF Research Report Series ISBN: 9781843396673 (Print) ISBN: 9781780403182 (eBook)</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="76349539"><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="76349539"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76349539; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76349539]").text(description); $(".js-view-count[data-work-id=76349539]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76349539; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='76349539']"); 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" } } $('.js-work-strip[data-work-id=76349539]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":76349539,"title":"Whole Effluent Toxicity Testing: Study Plan for Field Validation","internal_url":"https://www.academia.edu/76349539/Whole_Effluent_Toxicity_Testing_Study_Plan_for_Field_Validation","owner_id":43797555,"coauthors_can_edit":true,"owner":{"id":43797555,"first_name":"James (Sam)","middle_initials":"B","last_name":"Stribling","page_name":"striblingjames","domain_name":"independent","created_at":"2016-02-23T13:58:40.509-08:00","display_name":"James (Sam) B Stribling","url":"https://independent.academia.edu/striblingjames"},"attachments":[]}, 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="76349537"><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/76349537/Partitioning_Error_Sources_for_Quality_Control_and_Comparability_Analysis_in_Biological_Monitoring_and_Assessment"><img alt="Research paper thumbnail of Partitioning Error Sources for Quality Control and Comparability Analysis in Biological Monitoring and Assessment" class="work-thumbnail" src="https://attachments.academia-assets.com/84084515/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/76349537/Partitioning_Error_Sources_for_Quality_Control_and_Comparability_Analysis_in_Biological_Monitoring_and_Assessment">Partitioning Error Sources for Quality Control and Comparability Analysis in Biological Monitoring and Assessment</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">"…measurements are not passive accountings of an objective world but active interactions in which...</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">"…measurements are not passive accountings of an objective world but active interactions in which the thing measured and the way it is measured contribute inseparably to the outcome." (Lindley 2007: p. 154, attributing the concept to Neils Bohr) "The experienced scientist has to learn to anticipate the possible sources of systematic error..." (Taylor 1997: p. 97) "No simple theory tells us what to do about systematic errors. In fact, the only theory of systematic errors is that they must be identified and reduced...." (Taylor 1997: p. 106) "…the only reason to carry out a test is to improve a process, to improve the quality..."</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a4c999a9eb0f2f35215d740b62e8ee19" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":84084515,"asset_id":76349537,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/84084515/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="76349537"><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="76349537"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 76349537; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=76349537]").text(description); $(".js-view-count[data-work-id=76349537]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 76349537; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='76349537']"); 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); 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