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class="js-profile-view-count"></span></p></div></span></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="37073031" href="https://www.academia.edu/Documents/in/Social_Simulation"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://independent.academia.edu/HodgsonEmma","location":"/HodgsonEmma","scheme":"https","host":"independent.academia.edu","port":null,"pathname":"/HodgsonEmma","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Social Simulation"]}" data-trace="false" data-dom-id="Pill-react-component-58c1248d-d3d2-4f34-9ec1-5f3e1cda3d37"></div> <div id="Pill-react-component-58c1248d-d3d2-4f34-9ec1-5f3e1cda3d37"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="37073031" href="https://www.academia.edu/Documents/in/Research_Method"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Research Method"]}" data-trace="false" data-dom-id="Pill-react-component-47c70ad7-7eec-4436-b8c0-5fd3f64410a4"></div> <div id="Pill-react-component-47c70ad7-7eec-4436-b8c0-5fd3f64410a4"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="37073031" href="https://www.academia.edu/Documents/in/Food_Policy"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Food Policy"]}" data-trace="false" data-dom-id="Pill-react-component-41b6db09-c4c4-4a73-963a-eafbe9eddcd6"></div> <div id="Pill-react-component-41b6db09-c4c4-4a73-963a-eafbe9eddcd6"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="37073031" href="https://www.academia.edu/Documents/in/Analytic_Hierarchy_Process"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Analytic Hierarchy Process"]}" data-trace="false" data-dom-id="Pill-react-component-3e59255e-2128-47c2-bb99-67a94d89dd01"></div> <div id="Pill-react-component-3e59255e-2128-47c2-bb99-67a94d89dd01"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="37073031" href="https://www.academia.edu/Documents/in/Supply_Chain"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Supply Chain"]}" data-trace="false" data-dom-id="Pill-react-component-3cd98c80-b688-4921-995e-8240a6db0cf1"></div> <div id="Pill-react-component-3cd98c80-b688-4921-995e-8240a6db0cf1"></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 Emma E Hodgson</h3></div><div class="js-work-strip profile--work_container" data-work-id="67273317"><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/67273317/Seasonality_and_Life_History_Complexity_Determine_Vulnerability_of_Dungeness_Crab_to_Multiple_Climate_Stressors"><img alt="Research paper thumbnail of Seasonality and Life History Complexity Determine Vulnerability of Dungeness Crab to Multiple Climate Stressors" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273317/Seasonality_and_Life_History_Complexity_Determine_Vulnerability_of_Dungeness_Crab_to_Multiple_Climate_Stressors">Seasonality and Life History Complexity Determine Vulnerability of Dungeness Crab to Multiple Climate Stressors</a></div><div class="wp-workCard_item"><span>AGU Advances</span></div><div class="wp-workCard_item wp-workCard--actions"><span 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})(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273317]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273317,"title":"Seasonality and Life History Complexity Determine Vulnerability of Dungeness Crab to Multiple Climate Stressors","translated_title":"","metadata":{"publisher":"American Geophysical Union (AGU)","publication_name":"AGU 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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/67273313/Research_priorities_for_the_management_of_freshwater_fish_habitat_in_Canada">Research priorities for the management of freshwater fish habitat in Canada</a></div><div class="wp-workCard_item"><span>Canadian Journal of Fisheries and Aquatic Sciences</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Effective management of freshwater fish habitat is essential to supporting healthy aquatic ecosys...</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">Effective management of freshwater fish habitat is essential to supporting healthy aquatic ecosystems and sustainable fisheries. In Canada, recent changes to the Fisheries Act enhanced the protection of fish habitat, but application of those provisions relies on sound scientific evidence. We employed collaborative research prioritization methods to identify scientific research questions that, if addressed, would significantly advance the management of freshwater fish habitat in Canada. This list was generated by a diverse group of freshwater fish experts, including substantial contributions from practitioners who administer provisions of the Fisheries Act. The research questions generated in this study identify priority topics for future research, while highlighting issues that could be addressed with different funding models. As a result, this study should support evidence-based management of Canada’s aquatic resources by identifying scientific knowledge gaps faced by practitioners...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8e691de05721e5a2654c1f341ce8466f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150909,"asset_id":67273313,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150909/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273313"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273313"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273313; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273313]").text(description); $(".js-view-count[data-work-id=67273313]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273313; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273313']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273313, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8e691de05721e5a2654c1f341ce8466f" } } $('.js-work-strip[data-work-id=67273313]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273313,"title":"Research priorities for the management of freshwater fish habitat in Canada","translated_title":"","metadata":{"abstract":"Effective management of freshwater fish habitat is essential to supporting healthy aquatic ecosystems and sustainable fisheries. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67273306"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/67273306/Conservation_risks_and_portfolio_effects_in_mixed_stock_fisheries"><img alt="Research paper thumbnail of Conservation risks and portfolio effects in mixed‐stock fisheries" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273306/Conservation_risks_and_portfolio_effects_in_mixed_stock_fisheries">Conservation risks and portfolio effects in mixed‐stock fisheries</a></div><div class="wp-workCard_item"><span>Fish and Fisheries</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="67273306"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273306"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273306; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273306]").text(description); $(".js-view-count[data-work-id=67273306]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273306; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273306']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273306, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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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="67273304"><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/67273304/Disrupted_ecosystem_and_human_phenology_at_the_climate_frontline_in_Gwichin_First_Nation_territory"><img alt="Research paper thumbnail of Disrupted ecosystem and human phenology at the climate frontline in Gwich'in First Nation territory" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273304/Disrupted_ecosystem_and_human_phenology_at_the_climate_frontline_in_Gwichin_First_Nation_territory">Disrupted ecosystem and human phenology at the climate frontline in Gwich'in First Nation territory</a></div><div class="wp-workCard_item"><span>Conservation Biology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Article impact statement: Indigenous land users&#39; experiences of global ecological change can ...</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">Article impact statement: Indigenous land users&#39; experiences of global ecological change can help researchers understand variable climate impacts and adaptations. This article is protected by copyright. All rights reserved.</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="67273304"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273304"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273304; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273304]").text(description); $(".js-view-count[data-work-id=67273304]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273304; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273304']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273304, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273304]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273304,"title":"Disrupted ecosystem and human phenology at the climate frontline in Gwich'in First Nation territory","translated_title":"","metadata":{"abstract":"Article impact statement: Indigenous land users\u0026#39; experiences of global ecological change can help researchers understand variable climate impacts and adaptations. This article is protected by copyright. All rights reserved.","publisher":"Wiley","publication_name":"Conservation Biology"},"translated_abstract":"Article impact statement: Indigenous land users\u0026#39; experiences of global ecological change can help researchers understand variable climate impacts and adaptations. This article is protected by copyright. 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All rights reserved.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"}],"urls":[{"id":16125126,"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1111/cobi.13672"}]}, 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="67273300"><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/67273300/The_importance_of_continuous_dialogue_in_community_based_wildlife_monitoring_case_studies_of_dzan_and_%C5%82uk_dagaii_in_the_Gwich_in_Settlement_Area"><img alt="Research paper thumbnail of The importance of continuous dialogue in community-based wildlife monitoring: case studies of dzan and łuk dagaii in the Gwich’in Settlement Area" class="work-thumbnail" src="https://attachments.academia-assets.com/78150867/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/67273300/The_importance_of_continuous_dialogue_in_community_based_wildlife_monitoring_case_studies_of_dzan_and_%C5%82uk_dagaii_in_the_Gwich_in_Settlement_Area">The importance of continuous dialogue in community-based wildlife monitoring: case studies of dzan and łuk dagaii in the Gwich’in Settlement Area</a></div><div class="wp-workCard_item"><span>Arctic Science</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Rapid environmental change in the Arctic elicits numerous concerns for ecosystems, natural resour...</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">Rapid environmental change in the Arctic elicits numerous concerns for ecosystems, natural resources, and ways of life. Robust monitoring is essential to adaptation and management in light of these challenges, and community-based monitoring (CBM) projects can enhance these efforts by highlighting traditional knowledge, ensuring that questions are locally important, and informing natural resource conservation and management. Implementation of CBM projects can vary widely depending on project goals, the communities, and the partners involved, and we feel there is value in sharing CBM project examples in different contexts. Here, we describe two projects in the Gwich’in Settlement Area (GSA), Canada, and highlight the process in which local management agencies set monitoring and research priorities. Dzan (muskrat; Ondatra zibethicus (Linnaeus, 1766)) and łuk dagaii (broad whitefish; Coregonus nasus (Pallas, 1776)) are species of great cultural importance and are the focus of CBM projec...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="68e71cde16a6cc21a13a7f21cf8f0fee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150867,"asset_id":67273300,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150867/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273300"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273300"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273300; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273300]").text(description); $(".js-view-count[data-work-id=67273300]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273300; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273300']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273300, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "68e71cde16a6cc21a13a7f21cf8f0fee" } } $('.js-work-strip[data-work-id=67273300]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273300,"title":"The importance of continuous dialogue in community-based wildlife monitoring: case studies of dzan and łuk dagaii in the Gwich’in Settlement Area","translated_title":"","metadata":{"abstract":"Rapid environmental change in the Arctic elicits numerous concerns for ecosystems, natural resources, and ways of life. 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To inform decision-making, it is essential to understand the pathways of impacts of particular human activities, especially those that affect species such as salmon, which have high ecological, social-cultural and economic values. Salmon systems provide an opportunity to build from the substantial body of research on responses to estuary developments and take stock of what is known. We conducted a systematic English-language literature review on the responses of juvenile salmon to anthropogenic activities in estuaries and nearshore areas asking: what has been studied, where are the major knowledge gaps and how do stressors affect salmon? We found a substantial body of research (n = 167 studies; 1,369 comparative tests) to help understand responses of juvenile salmon to 24 activities and their 14 stressors. Across studies, 82% of the research was conducted in the eastern Pacific (Oregon and Washington, USA and British Columbia, Canada) showing a limited geographical scope. Using a semiquantitative approach to summarize the literature, including a weight-of-evidence metric, we found a range of results from low to moderate-high confidence in the consequences of the stressors. For example, we found moderate-high confidence in the negative impacts of pollutants and sea lice and moderate confidence in negative impacts from connectivity loss and changes in flow. Our results suggest that overall, multiple anthropogenic activities cause negative impacts across ecological scales. However, our results also reveal knowledge gaps resulting from minimal research on particular species (e.g. sockeye salmon), regions (e.g. Atlantic) or stressors (e.g. entrainment) that would be expedient areas for future research. With estuaries acting as a nexus of biological and societal importance and hotspots of ongoing development, the insights gained here can contribute to informed decision-making.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c2525ba2a6ac960e1141e7c0004632bf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150866,"asset_id":67273297,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150866/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273297"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273297"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273297; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273297]").text(description); $(".js-view-count[data-work-id=67273297]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273297; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273297']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273297, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c2525ba2a6ac960e1141e7c0004632bf" } } $('.js-work-strip[data-work-id=67273297]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273297,"title":"Changing estuaries and impacts on juvenile salmon: A systematic review","translated_title":"","metadata":{"publisher":"Wiley","grobid_abstract":"Estuaries are productive ecosystems providing important habitat for a diversity of species, yet they also experience intense levels of anthropogenic development. 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Using a semiquantitative approach to summarize the literature, including a weight-of-evidence metric, we found a range of results from low to moderate-high confidence in the consequences of the stressors. For example, we found moderate-high confidence in the negative impacts of pollutants and sea lice and moderate confidence in negative impacts from connectivity loss and changes in flow. Our results suggest that overall, multiple anthropogenic activities cause negative impacts across ecological scales. However, our results also reveal knowledge gaps resulting from minimal research on particular species (e.g. sockeye salmon), regions (e.g. Atlantic) or stressors (e.g. entrainment) that would be expedient areas for future research. With estuaries acting as a nexus of biological and societal importance and hotspots of ongoing development, the insights gained here can contribute to informed decision-making.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[{"id":78150866,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150866/thumbnails/1.jpg","file_name":"gcb.pdf","download_url":"https://www.academia.edu/attachments/78150866/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Changing_estuaries_and_impacts_on_juveni.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150866/gcb-libre.pdf?1641411880=\u0026response-content-disposition=attachment%3B+filename%3DChanging_estuaries_and_impacts_on_juveni.pdf\u0026Expires=1735014749\u0026Signature=TisZLHj1JM2aaxZIeMRjzb~TyI5iIPRZYrJbSreR2yIqnKZB-G5rTyrD3dp2MUhjJrcoCzU1D9dGHueThaTVHjhEyVxoLXFRKo2unMpG-48fwS-cHGCQECzQeiULPwYUIqY9xZLTKt22cuyPZUHes1NWWySDR1oLTQM6gk4d4PiH-mSpWIW49PEctd0k9GiR1QL4JHLfUQD8QQI8bzvBmDJBIHvx9~jGI48lsBebEH51~0wvnP2qqevH7pxwKcJ2IX5g10rxdvBNRWwcfCAyC9FFmlu84xJtLZEWXyQYuaAOV~AKPX9bX7wejlgJEEiLqjlfq1XWtCgNaKdh8mLYHw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":26039,"name":"Global Change Biology","url":"https://www.academia.edu/Documents/in/Global_Change_Biology"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"}],"urls":[{"id":16125122,"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fgcb.14997"}]}, 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="67273292"><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/67273292/Integrated_Risk_Assessment_for_the_Blue_Economy"><img alt="Research paper thumbnail of Integrated Risk Assessment for the Blue Economy" class="work-thumbnail" src="https://attachments.academia-assets.com/78150863/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/67273292/Integrated_Risk_Assessment_for_the_Blue_Economy">Integrated Risk Assessment for the Blue Economy</a></div><div class="wp-workCard_item"><span>Frontiers in Marine Science</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0c9463f9b249e435b80936c06a636fb2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150863,"asset_id":67273292,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150863/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273292"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273292"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273292; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273292]").text(description); $(".js-view-count[data-work-id=67273292]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273292; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273292']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273292, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0c9463f9b249e435b80936c06a636fb2" } } $('.js-work-strip[data-work-id=67273292]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273292,"title":"Integrated Risk Assessment for the Blue Economy","translated_title":"","metadata":{"publisher":"Frontiers Media SA","publication_name":"Frontiers in Marine Science"},"translated_abstract":null,"internal_url":"https://www.academia.edu/67273292/Integrated_Risk_Assessment_for_the_Blue_Economy","translated_internal_url":"","created_at":"2022-01-05T11:39:06.362-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":78150863,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150863/thumbnails/1.jpg","file_name":"92938203db58fd991de497fd0b454dd16073.pdf","download_url":"https://www.academia.edu/attachments/78150863/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Integrated_Risk_Assessment_for_the_Blue.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150863/92938203db58fd991de497fd0b454dd16073-libre.pdf?1641411863=\u0026response-content-disposition=attachment%3B+filename%3DIntegrated_Risk_Assessment_for_the_Blue.pdf\u0026Expires=1735014749\u0026Signature=S3g6g7o-BNO~u0P35IJqmyqHy2yzP0zLWTThc7HqdKTp0ED0aVzvSlmdiKrP9ts-RwoBy97kxdj-V9S3gbpz1PDB3OJnscp2Qo4FqdQyCnETOldvD83fPLoB~IaQzVb1lwssP4zrEmpbBQlX1mHKJaWfcf2t-m8KQTf1~1cWgrzpXg2kbb3RzMFATJvfFzFpmY~~D9DWTx1uPX6YySQ2PE6~or3RE1FFhw3r4x~ul9jKSAf8iZiJ~rgC6dAglLXaJUM77MX0cFtBe3OFHkt0RxmGZmVVfVgeHFiiCt-6OM0-dV-byWFnVVK3YsMtviyHxh2VfGnqnBB-Lma0elGAbw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Integrated_Risk_Assessment_for_the_Blue_Economy","translated_slug":"","page_count":14,"language":"en","content_type":"Work","summary":null,"owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[{"id":78150863,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150863/thumbnails/1.jpg","file_name":"92938203db58fd991de497fd0b454dd16073.pdf","download_url":"https://www.academia.edu/attachments/78150863/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Integrated_Risk_Assessment_for_the_Blue.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150863/92938203db58fd991de497fd0b454dd16073-libre.pdf?1641411863=\u0026response-content-disposition=attachment%3B+filename%3DIntegrated_Risk_Assessment_for_the_Blue.pdf\u0026Expires=1735014749\u0026Signature=S3g6g7o-BNO~u0P35IJqmyqHy2yzP0zLWTThc7HqdKTp0ED0aVzvSlmdiKrP9ts-RwoBy97kxdj-V9S3gbpz1PDB3OJnscp2Qo4FqdQyCnETOldvD83fPLoB~IaQzVb1lwssP4zrEmpbBQlX1mHKJaWfcf2t-m8KQTf1~1cWgrzpXg2kbb3RzMFATJvfFzFpmY~~D9DWTx1uPX6YySQ2PE6~or3RE1FFhw3r4x~ul9jKSAf8iZiJ~rgC6dAglLXaJUM77MX0cFtBe3OFHkt0RxmGZmVVfVgeHFiiCt-6OM0-dV-byWFnVVK3YsMtviyHxh2VfGnqnBB-Lma0elGAbw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":16125120,"url":"https://www.frontiersin.org/article/10.3389/fmars.2019.00609/full"}]}, 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="67273286"><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/67273286/Consequences_of_spatially_variable_ocean_acidification_in_the_California_Current_Lower_pH_drives_strongest_declines_in_benthic_species_in_southern_regions_while_greatest_economic_impacts_occur_in_northern_regions"><img alt="Research paper thumbnail of Consequences of spatially variable ocean acidification in the California Current: Lower pH drives strongest declines in benthic species in southern regions while greatest economic impacts occur in northern regions" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273286/Consequences_of_spatially_variable_ocean_acidification_in_the_California_Current_Lower_pH_drives_strongest_declines_in_benthic_species_in_southern_regions_while_greatest_economic_impacts_occur_in_northern_regions">Consequences of spatially variable ocean acidification in the California Current: Lower pH drives strongest declines in benthic species in southern regions while greatest economic impacts occur in northern regions</a></div><div class="wp-workCard_item"><span>Ecological Modelling</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Marine ecosystems are experiencing rapid changes driven by anthropogenic stressors which, in turn...</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">Marine ecosystems are experiencing rapid changes driven by anthropogenic stressors which, in turn, are affecting human communities. One such stressor is ocean acidification, a result of increasing carbon emissions. Most research on biological impacts of ocean acidification has focused on the responses of an individual species or life stage. Yet, understanding how changes scale from species to ecosystems, and the services they provide, is critical to managing fisheries and setting research priorities. Here we use an ecosystem model, which is forced by oceanographic projections and also coupled to an economic input-output model, to quantify biological responses to ocean acidification in six coastal regions from Vancouver Island, Canada to Baja California, Mexico and economic responses at 17 ports on the US west coast. This model is intended to explore one possible future of how ocean acidification may influence this coastline. Outputs show that declines in species biomass tend to be larger in the southern region of the model, but the largest economic impacts on revenue, income and employment occur from northern California to northern Washington State. The economic consequences are primarily driven by declines in Dungeness crab from loss of prey. Given the substantive revenue generated by the fishing industry on the west coast, the model suggests that long-term planning for communities, researchers and managers in the northern region of the California Current would benefit from tracking Dungeness crab productivity and potential declines related to pH.</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="67273286"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273286"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273286; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273286]").text(description); $(".js-view-count[data-work-id=67273286]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273286; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273286']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273286, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273286]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273286,"title":"Consequences of spatially variable ocean acidification in the California Current: Lower pH drives strongest declines in benthic species in southern regions while greatest economic impacts occur in northern regions","translated_title":"","metadata":{"abstract":"Marine ecosystems are experiencing rapid changes driven by anthropogenic stressors which, in turn, are affecting human communities. One such stressor is ocean acidification, a result of increasing carbon emissions. Most research on biological impacts of ocean acidification has focused on the responses of an individual species or life stage. Yet, understanding how changes scale from species to ecosystems, and the services they provide, is critical to managing fisheries and setting research priorities. Here we use an ecosystem model, which is forced by oceanographic projections and also coupled to an economic input-output model, to quantify biological responses to ocean acidification in six coastal regions from Vancouver Island, Canada to Baja California, Mexico and economic responses at 17 ports on the US west coast. This model is intended to explore one possible future of how ocean acidification may influence this coastline. Outputs show that declines in species biomass tend to be larger in the southern region of the model, but the largest economic impacts on revenue, income and employment occur from northern California to northern Washington State. The economic consequences are primarily driven by declines in Dungeness crab from loss of prey. Given the substantive revenue generated by the fishing industry on the west coast, the model suggests that long-term planning for communities, researchers and managers in the northern region of the California Current would benefit from tracking Dungeness crab productivity and potential declines related to pH.","publisher":"Elsevier BV","publication_name":"Ecological Modelling"},"translated_abstract":"Marine ecosystems are experiencing rapid changes driven by anthropogenic stressors which, in turn, are affecting human communities. One such stressor is ocean acidification, a result of increasing carbon emissions. Most research on biological impacts of ocean acidification has focused on the responses of an individual species or life stage. Yet, understanding how changes scale from species to ecosystems, and the services they provide, is critical to managing fisheries and setting research priorities. Here we use an ecosystem model, which is forced by oceanographic projections and also coupled to an economic input-output model, to quantify biological responses to ocean acidification in six coastal regions from Vancouver Island, Canada to Baja California, Mexico and economic responses at 17 ports on the US west coast. This model is intended to explore one possible future of how ocean acidification may influence this coastline. Outputs show that declines in species biomass tend to be larger in the southern region of the model, but the largest economic impacts on revenue, income and employment occur from northern California to northern Washington State. The economic consequences are primarily driven by declines in Dungeness crab from loss of prey. Given the substantive revenue generated by the fishing industry on the west coast, the model suggests that long-term planning for communities, researchers and managers in the northern region of the California Current would benefit from tracking Dungeness crab productivity and potential declines related to pH.","internal_url":"https://www.academia.edu/67273286/Consequences_of_spatially_variable_ocean_acidification_in_the_California_Current_Lower_pH_drives_strongest_declines_in_benthic_species_in_southern_regions_while_greatest_economic_impacts_occur_in_northern_regions","translated_internal_url":"","created_at":"2022-01-05T11:39:03.309-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Consequences_of_spatially_variable_ocean_acidification_in_the_California_Current_Lower_pH_drives_strongest_declines_in_benthic_species_in_southern_regions_while_greatest_economic_impacts_occur_in_northern_regions","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Marine ecosystems are experiencing rapid changes driven by anthropogenic stressors which, in turn, are affecting human communities. One such stressor is ocean acidification, a result of increasing carbon emissions. Most research on biological impacts of ocean acidification has focused on the responses of an individual species or life stage. Yet, understanding how changes scale from species to ecosystems, and the services they provide, is critical to managing fisheries and setting research priorities. Here we use an ecosystem model, which is forced by oceanographic projections and also coupled to an economic input-output model, to quantify biological responses to ocean acidification in six coastal regions from Vancouver Island, Canada to Baja California, Mexico and economic responses at 17 ports on the US west coast. This model is intended to explore one possible future of how ocean acidification may influence this coastline. Outputs show that declines in species biomass tend to be larger in the southern region of the model, but the largest economic impacts on revenue, income and employment occur from northern California to northern Washington State. The economic consequences are primarily driven by declines in Dungeness crab from loss of prey. Given the substantive revenue generated by the fishing industry on the west coast, the model suggests that long-term planning for communities, researchers and managers in the northern region of the California Current would benefit from tracking Dungeness crab productivity and potential declines related to pH.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":28697,"name":"Ecological Modelling","url":"https://www.academia.edu/Documents/in/Ecological_Modelling"}],"urls":[{"id":16125117,"url":"https://api.elsevier.com/content/article/PII:S0304380018301856?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67273282"><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/67273282/Moving_Beyond_Silos_in_Cumulative_Effects_Assessment"><img alt="Research paper thumbnail of Moving Beyond Silos in Cumulative Effects Assessment" class="work-thumbnail" src="https://attachments.academia-assets.com/78150858/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/67273282/Moving_Beyond_Silos_in_Cumulative_Effects_Assessment">Moving Beyond Silos in Cumulative Effects Assessment</a></div><div class="wp-workCard_item"><span>Frontiers in Ecology and Evolution</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Many of the world's ecosystems are experiencing a suite of changes from anthropogenic activities;...</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">Many of the world's ecosystems are experiencing a suite of changes from anthropogenic activities; the multiple stressors from those activities result in cumulative impacts. Understanding how these activities translate into ecological consequences is exceedingly challenging because of the inherent complexity within natural systems and the variability in how stressors act and how species respond. While there have been substantial advancements within the field of cumulative effects assessment to address these issues and improve our understanding of the consequences of our actions, many challenges remain. Here, we detail advances and remaining challenges, and propose five priorities for addressing these challenges in the near future. In particular, we suggest prioritizing risk-based approaches that account for uncertainty in our understanding and establishing an underlying theory for when we expect particular impacts to occur. We also propose the need for a defined subdiscipline focused on cumulative effects, to help reduce the silos of research that are often disconnected, and to work toward a common set of definitions, methods and the consistent use of open data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fced2c911f7c0dfff37fc80d42059856" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150858,"asset_id":67273282,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150858/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273282"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273282"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273282; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273282]").text(description); $(".js-view-count[data-work-id=67273282]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273282; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273282']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273282, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fced2c911f7c0dfff37fc80d42059856" } } $('.js-work-strip[data-work-id=67273282]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273282,"title":"Moving Beyond Silos in Cumulative Effects Assessment","translated_title":"","metadata":{"publisher":"Frontiers Media SA","ai_title_tag":"Integrating Approaches in Cumulative Effects Assessment","grobid_abstract":"Many of the world's ecosystems are experiencing a suite of changes from anthropogenic activities; the multiple stressors from those activities result in cumulative impacts. Understanding how these activities translate into ecological consequences is exceedingly challenging because of the inherent complexity within natural systems and the variability in how stressors act and how species respond. While there have been substantial advancements within the field of cumulative effects assessment to address these issues and improve our understanding of the consequences of our actions, many challenges remain. Here, we detail advances and remaining challenges, and propose five priorities for addressing these challenges in the near future. In particular, we suggest prioritizing risk-based approaches that account for uncertainty in our understanding and establishing an underlying theory for when we expect particular impacts to occur. We also propose the need for a defined subdiscipline focused on cumulative effects, to help reduce the silos of research that are often disconnected, and to work toward a common set of definitions, methods and the consistent use of open data.","publication_name":"Frontiers in Ecology and Evolution","grobid_abstract_attachment_id":78150858},"translated_abstract":null,"internal_url":"https://www.academia.edu/67273282/Moving_Beyond_Silos_in_Cumulative_Effects_Assessment","translated_internal_url":"","created_at":"2022-01-05T11:39:00.585-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":78150858,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150858/thumbnails/1.jpg","file_name":"7f6b329616641414fb1b92b50dd9c48d8566.pdf","download_url":"https://www.academia.edu/attachments/78150858/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Moving_Beyond_Silos_in_Cumulative_Effect.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150858/7f6b329616641414fb1b92b50dd9c48d8566-libre.pdf?1641411862=\u0026response-content-disposition=attachment%3B+filename%3DMoving_Beyond_Silos_in_Cumulative_Effect.pdf\u0026Expires=1735014749\u0026Signature=KD8iLhHXZHzODIPMz2B6RYqbsNQM1dQfcUcU1XwataQI0uJ3P1iiP7bxTvH6D6yaU219zBUI98wR7rDPZC4KX4FqxNIODdxM226bX6vL3jqjz8woglw1FiBbh3SPNzg2cACbHqZOiWdm1D8lasjgDruskW6iRMbUww4gbpSuihTixOSzm4z~-zSZ0UEGdn-P028h20gcAy3f5eUNiwGQQmJt6S0-T9qvS-pDzL0iKm-sVBW3hS8WOgNMejOOsFRfYW45cFF0zHHIranFkWj4CBMS5pgnMwp2fMpWIzpi9qHdDrNyWOOniXwzBcqt~OfpqedUorOtU~-qEECIZTpAMA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Moving_Beyond_Silos_in_Cumulative_Effects_Assessment","translated_slug":"","page_count":8,"language":"en","content_type":"Work","summary":"Many of the world's ecosystems are experiencing a suite of changes from anthropogenic activities; the multiple stressors from those activities result in cumulative impacts. Understanding how these activities translate into ecological consequences is exceedingly challenging because of the inherent complexity within natural systems and the variability in how stressors act and how species respond. While there have been substantial advancements within the field of cumulative effects assessment to address these issues and improve our understanding of the consequences of our actions, many challenges remain. Here, we detail advances and remaining challenges, and propose five priorities for addressing these challenges in the near future. In particular, we suggest prioritizing risk-based approaches that account for uncertainty in our understanding and establishing an underlying theory for when we expect particular impacts to occur. We also propose the need for a defined subdiscipline focused on cumulative effects, to help reduce the silos of research that are often disconnected, and to work toward a common set of definitions, methods and the consistent use of open data.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[{"id":78150858,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150858/thumbnails/1.jpg","file_name":"7f6b329616641414fb1b92b50dd9c48d8566.pdf","download_url":"https://www.academia.edu/attachments/78150858/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Moving_Beyond_Silos_in_Cumulative_Effect.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150858/7f6b329616641414fb1b92b50dd9c48d8566-libre.pdf?1641411862=\u0026response-content-disposition=attachment%3B+filename%3DMoving_Beyond_Silos_in_Cumulative_Effect.pdf\u0026Expires=1735014749\u0026Signature=KD8iLhHXZHzODIPMz2B6RYqbsNQM1dQfcUcU1XwataQI0uJ3P1iiP7bxTvH6D6yaU219zBUI98wR7rDPZC4KX4FqxNIODdxM226bX6vL3jqjz8woglw1FiBbh3SPNzg2cACbHqZOiWdm1D8lasjgDruskW6iRMbUww4gbpSuihTixOSzm4z~-zSZ0UEGdn-P028h20gcAy3f5eUNiwGQQmJt6S0-T9qvS-pDzL0iKm-sVBW3hS8WOgNMejOOsFRfYW45cFF0zHHIranFkWj4CBMS5pgnMwp2fMpWIzpi9qHdDrNyWOOniXwzBcqt~OfpqedUorOtU~-qEECIZTpAMA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"}],"urls":[{"id":16125115,"url":"https://www.frontiersin.org/article/10.3389/fevo.2019.00211/full"}]}, 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="67273277"><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/67273277/Density_dependence_governs_when_population_responses_to_multiple_stressors_are_magnified_or_mitigated"><img alt="Research paper thumbnail of Density dependence governs when population responses to multiple stressors are magnified or mitigated" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273277/Density_dependence_governs_when_population_responses_to_multiple_stressors_are_magnified_or_mitigated">Density dependence governs when population responses to multiple stressors are magnified or mitigated</a></div><div class="wp-workCard_item"><span>Ecology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Population endangerment typically arises from multiple, potentially interacting anthropogenic str...</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">Population endangerment typically arises from multiple, potentially interacting anthropogenic stressors. Extensive research has investigated the consequences of multiple stressors on organisms, frequently focusing on individual life stages. Less is known about population-level consequences of exposure to multiple stressors, especially when exposure varies through life. We provide the first theoretical basis for identifying species at risk of magnified effects from multiple stressors across life history. By applying a population modeling framework, we reveal conditions under which population responses from stressors applied to distinct life stages are either magnified (synergistic) or mitigated. We find that magnification or mitigation critically depends on the shape of density dependence, but not the life stage in which it occurs. Stressors are always magnified when density dependence is linear or concave, and magnified or mitigated when it is convex. Using Bayesian numerical methods, we estimated the shape of density dependence for eight species across diverse taxa, finding support for all three shapes.</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="67273277"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273277"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273277; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273277]").text(description); $(".js-view-count[data-work-id=67273277]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273277; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273277']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273277, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273277]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273277,"title":"Density dependence governs when population responses to multiple stressors are magnified or mitigated","translated_title":"","metadata":{"abstract":"Population endangerment typically arises from multiple, potentially interacting anthropogenic stressors. Extensive research has investigated the consequences of multiple stressors on organisms, frequently focusing on individual life stages. Less is known about population-level consequences of exposure to multiple stressors, especially when exposure varies through life. We provide the first theoretical basis for identifying species at risk of magnified effects from multiple stressors across life history. By applying a population modeling framework, we reveal conditions under which population responses from stressors applied to distinct life stages are either magnified (synergistic) or mitigated. We find that magnification or mitigation critically depends on the shape of density dependence, but not the life stage in which it occurs. Stressors are always magnified when density dependence is linear or concave, and magnified or mitigated when it is convex. Using Bayesian numerical methods, we estimated the shape of density dependence for eight species across diverse taxa, finding support for all three shapes.","publisher":"Wiley","publication_name":"Ecology"},"translated_abstract":"Population endangerment typically arises from multiple, potentially interacting anthropogenic stressors. Extensive research has investigated the consequences of multiple stressors on organisms, frequently focusing on individual life stages. Less is known about population-level consequences of exposure to multiple stressors, especially when exposure varies through life. We provide the first theoretical basis for identifying species at risk of magnified effects from multiple stressors across life history. By applying a population modeling framework, we reveal conditions under which population responses from stressors applied to distinct life stages are either magnified (synergistic) or mitigated. We find that magnification or mitigation critically depends on the shape of density dependence, but not the life stage in which it occurs. Stressors are always magnified when density dependence is linear or concave, and magnified or mitigated when it is convex. Using Bayesian numerical methods, we estimated the shape of density dependence for eight species across diverse taxa, finding support for all three shapes.","internal_url":"https://www.academia.edu/67273277/Density_dependence_governs_when_population_responses_to_multiple_stressors_are_magnified_or_mitigated","translated_internal_url":"","created_at":"2022-01-05T11:38:57.819-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Density_dependence_governs_when_population_responses_to_multiple_stressors_are_magnified_or_mitigated","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Population endangerment typically arises from multiple, potentially interacting anthropogenic stressors. Extensive research has investigated the consequences of multiple stressors on organisms, frequently focusing on individual life stages. Less is known about population-level consequences of exposure to multiple stressors, especially when exposure varies through life. We provide the first theoretical basis for identifying species at risk of magnified effects from multiple stressors across life history. By applying a population modeling framework, we reveal conditions under which population responses from stressors applied to distinct life stages are either magnified (synergistic) or mitigated. We find that magnification or mitigation critically depends on the shape of density dependence, but not the life stage in which it occurs. Stressors are always magnified when density dependence is linear or concave, and magnified or mitigated when it is convex. Using Bayesian numerical methods, we estimated the shape of density dependence for eight species across diverse taxa, finding support for all three shapes.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":843856,"name":"Ecological Applications","url":"https://www.academia.edu/Documents/in/Ecological_Applications"}],"urls":[{"id":16125112,"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fecy.1961"}]}, 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="67273269"><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/67273269/Investigating_cumulative_effects_across_ecological_scales"><img alt="Research paper thumbnail of Investigating cumulative effects across ecological scales" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273269/Investigating_cumulative_effects_across_ecological_scales">Investigating cumulative effects across ecological scales</a></div><div class="wp-workCard_item"><span>Conservation Biology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, f...</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">Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, fueling a rapidly expanding research program to understand the cumulative impacts of these environmental modifications. Since the 1970s, a growing set of methods has been developed through two parallel, sometimes connected, streams of research within the applied and academic realms to assess cumulative effects. Past reviews of cumulative effects assessment (CEA) methods focused on approaches used by practitioners. Academic research has developed several distinct and novel approaches to conducting CEA. Understanding the suite of methods that exist will help practitioners and academics better address various ecological foci (physiological responses, population impacts, ecosystem impacts) and ecological complexities (synergistic effects, impacts across space and time). We reviewed 6 categories of methods (experimental, meta-analysis, single-species modeling, mapping, qualitative modeling, and multispecies modeling) and examined the ability of those methods to address different levels of complexity. We focused on research gaps and emerging priorities. We found that no single method assessed impacts across the 4 ecological foci and 6 ecological complexities considered. We propose that methods can be used in combination to improve understanding such that multimodel inference can provide a suite of comparable outputs, mapping methods can help prioritize localized models or experimental gaps, and future experiments can be paired from the outset with models they will inform.</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="67273269"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273269"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273269; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273269]").text(description); $(".js-view-count[data-work-id=67273269]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273269; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273269']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273269, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273269]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273269,"title":"Investigating cumulative effects across ecological scales","translated_title":"","metadata":{"abstract":"Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, fueling a rapidly expanding research program to understand the cumulative impacts of these environmental modifications. Since the 1970s, a growing set of methods has been developed through two parallel, sometimes connected, streams of research within the applied and academic realms to assess cumulative effects. Past reviews of cumulative effects assessment (CEA) methods focused on approaches used by practitioners. Academic research has developed several distinct and novel approaches to conducting CEA. Understanding the suite of methods that exist will help practitioners and academics better address various ecological foci (physiological responses, population impacts, ecosystem impacts) and ecological complexities (synergistic effects, impacts across space and time). We reviewed 6 categories of methods (experimental, meta-analysis, single-species modeling, mapping, qualitative modeling, and multispecies modeling) and examined the ability of those methods to address different levels of complexity. We focused on research gaps and emerging priorities. We found that no single method assessed impacts across the 4 ecological foci and 6 ecological complexities considered. We propose that methods can be used in combination to improve understanding such that multimodel inference can provide a suite of comparable outputs, mapping methods can help prioritize localized models or experimental gaps, and future experiments can be paired from the outset with models they will inform.","publisher":"Wiley","publication_name":"Conservation Biology"},"translated_abstract":"Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, fueling a rapidly expanding research program to understand the cumulative impacts of these environmental modifications. Since the 1970s, a growing set of methods has been developed through two parallel, sometimes connected, streams of research within the applied and academic realms to assess cumulative effects. Past reviews of cumulative effects assessment (CEA) methods focused on approaches used by practitioners. Academic research has developed several distinct and novel approaches to conducting CEA. Understanding the suite of methods that exist will help practitioners and academics better address various ecological foci (physiological responses, population impacts, ecosystem impacts) and ecological complexities (synergistic effects, impacts across space and time). We reviewed 6 categories of methods (experimental, meta-analysis, single-species modeling, mapping, qualitative modeling, and multispecies modeling) and examined the ability of those methods to address different levels of complexity. We focused on research gaps and emerging priorities. We found that no single method assessed impacts across the 4 ecological foci and 6 ecological complexities considered. We propose that methods can be used in combination to improve understanding such that multimodel inference can provide a suite of comparable outputs, mapping methods can help prioritize localized models or experimental gaps, and future experiments can be paired from the outset with models they will inform.","internal_url":"https://www.academia.edu/67273269/Investigating_cumulative_effects_across_ecological_scales","translated_internal_url":"","created_at":"2022-01-05T11:38:54.804-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Investigating_cumulative_effects_across_ecological_scales","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, fueling a rapidly expanding research program to understand the cumulative impacts of these environmental modifications. Since the 1970s, a growing set of methods has been developed through two parallel, sometimes connected, streams of research within the applied and academic realms to assess cumulative effects. Past reviews of cumulative effects assessment (CEA) methods focused on approaches used by practitioners. Academic research has developed several distinct and novel approaches to conducting CEA. Understanding the suite of methods that exist will help practitioners and academics better address various ecological foci (physiological responses, population impacts, ecosystem impacts) and ecological complexities (synergistic effects, impacts across space and time). We reviewed 6 categories of methods (experimental, meta-analysis, single-species modeling, mapping, qualitative modeling, and multispecies modeling) and examined the ability of those methods to address different levels of complexity. We focused on research gaps and emerging priorities. We found that no single method assessed impacts across the 4 ecological foci and 6 ecological complexities considered. We propose that methods can be used in combination to improve understanding such that multimodel inference can provide a suite of comparable outputs, mapping methods can help prioritize localized models or experimental gaps, and future experiments can be paired from the outset with models they will inform.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"}],"urls":[{"id":16125108,"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fcobi.13125"}]}, 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="67273262"><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/67273262/Modeling_food_web_effects_of_low_sardine_and_anchovy_abundance_in_the_California_Current"><img alt="Research paper thumbnail of Modeling food web effects of low sardine and anchovy abundance in the California Current" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273262/Modeling_food_web_effects_of_low_sardine_and_anchovy_abundance_in_the_California_Current">Modeling food web effects of low sardine and anchovy abundance in the California Current</a></div><div class="wp-workCard_item"><span>Ecological Modelling</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Populations of sardine, anchovy, and other forage species can fluctuate to low levels due to clim...</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">Populations of sardine, anchovy, and other forage species can fluctuate to low levels due to climate variability and fishing, leading to indirect effects on marine food webs. In the context of recent declines of sardine (Sardinops sagax) and anchovy (Engraulis mordax) in the California Current, we apply an end-to-end Atlantis ecosystem model that is spatially explicit, includes trophic interactions, and allows high and low recruitment regimes (production of juveniles). Our simulations suggest that depleted sardine populations, whether caused by fishing or natural cycles, may lead to declines in predator groups such as dolphins and large piscivorous flatfish (e.g. California halibut Paralichthys californicus). Birds exhibited more moderate declines, and California sea lions (Zalophus californianus) exhibited relatively weak declines. The Atlantis ecosystem model also predicted indirect positive effects of sardine depletion, primarily for prey species such as zooplankton. Overall our model predicted moderate declines in most predators during simulated severe declines in sardine and anchovy, illustrating the important buffering role provided by forage species other than sardine and anchovy. This ‘buffered response’ is weaker than what would be suggested by another ecosystem model (Ecosim), as predicted by diet information and a global synthesis of Ecosim models (the PREP equation). One limitation of the Atlantis model is that it did not include processes that might give rise to localized depletion of sardine at scales relevant to central place foragers, such as birds and pinnipeds. This analysis will contribute to a collaborative multi-model approach that evaluates the role of sardine in the California Current.</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="67273262"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273262"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273262; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273262]").text(description); $(".js-view-count[data-work-id=67273262]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273262; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273262']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273262, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273262]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273262,"title":"Modeling food web effects of low sardine and anchovy abundance in the California Current","translated_title":"","metadata":{"abstract":"Populations of sardine, anchovy, and other forage species can fluctuate to low levels due to climate variability and fishing, leading to indirect effects on marine food webs. In the context of recent declines of sardine (Sardinops sagax) and anchovy (Engraulis mordax) in the California Current, we apply an end-to-end Atlantis ecosystem model that is spatially explicit, includes trophic interactions, and allows high and low recruitment regimes (production of juveniles). Our simulations suggest that depleted sardine populations, whether caused by fishing or natural cycles, may lead to declines in predator groups such as dolphins and large piscivorous flatfish (e.g. California halibut Paralichthys californicus). Birds exhibited more moderate declines, and California sea lions (Zalophus californianus) exhibited relatively weak declines. The Atlantis ecosystem model also predicted indirect positive effects of sardine depletion, primarily for prey species such as zooplankton. Overall our model predicted moderate declines in most predators during simulated severe declines in sardine and anchovy, illustrating the important buffering role provided by forage species other than sardine and anchovy. This ‘buffered response’ is weaker than what would be suggested by another ecosystem model (Ecosim), as predicted by diet information and a global synthesis of Ecosim models (the PREP equation). One limitation of the Atlantis model is that it did not include processes that might give rise to localized depletion of sardine at scales relevant to central place foragers, such as birds and pinnipeds. This analysis will contribute to a collaborative multi-model approach that evaluates the role of sardine in the California Current.","publisher":"Elsevier BV","publication_name":"Ecological Modelling"},"translated_abstract":"Populations of sardine, anchovy, and other forage species can fluctuate to low levels due to climate variability and fishing, leading to indirect effects on marine food webs. In the context of recent declines of sardine (Sardinops sagax) and anchovy (Engraulis mordax) in the California Current, we apply an end-to-end Atlantis ecosystem model that is spatially explicit, includes trophic interactions, and allows high and low recruitment regimes (production of juveniles). Our simulations suggest that depleted sardine populations, whether caused by fishing or natural cycles, may lead to declines in predator groups such as dolphins and large piscivorous flatfish (e.g. California halibut Paralichthys californicus). Birds exhibited more moderate declines, and California sea lions (Zalophus californianus) exhibited relatively weak declines. The Atlantis ecosystem model also predicted indirect positive effects of sardine depletion, primarily for prey species such as zooplankton. Overall our model predicted moderate declines in most predators during simulated severe declines in sardine and anchovy, illustrating the important buffering role provided by forage species other than sardine and anchovy. This ‘buffered response’ is weaker than what would be suggested by another ecosystem model (Ecosim), as predicted by diet information and a global synthesis of Ecosim models (the PREP equation). One limitation of the Atlantis model is that it did not include processes that might give rise to localized depletion of sardine at scales relevant to central place foragers, such as birds and pinnipeds. This analysis will contribute to a collaborative multi-model approach that evaluates the role of sardine in the California Current.","internal_url":"https://www.academia.edu/67273262/Modeling_food_web_effects_of_low_sardine_and_anchovy_abundance_in_the_California_Current","translated_internal_url":"","created_at":"2022-01-05T11:38:51.577-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Modeling_food_web_effects_of_low_sardine_and_anchovy_abundance_in_the_California_Current","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Populations of sardine, anchovy, and other forage species can fluctuate to low levels due to climate variability and fishing, leading to indirect effects on marine food webs. In the context of recent declines of sardine (Sardinops sagax) and anchovy (Engraulis mordax) in the California Current, we apply an end-to-end Atlantis ecosystem model that is spatially explicit, includes trophic interactions, and allows high and low recruitment regimes (production of juveniles). Our simulations suggest that depleted sardine populations, whether caused by fishing or natural cycles, may lead to declines in predator groups such as dolphins and large piscivorous flatfish (e.g. California halibut Paralichthys californicus). Birds exhibited more moderate declines, and California sea lions (Zalophus californianus) exhibited relatively weak declines. The Atlantis ecosystem model also predicted indirect positive effects of sardine depletion, primarily for prey species such as zooplankton. Overall our model predicted moderate declines in most predators during simulated severe declines in sardine and anchovy, illustrating the important buffering role provided by forage species other than sardine and anchovy. This ‘buffered response’ is weaker than what would be suggested by another ecosystem model (Ecosim), as predicted by diet information and a global synthesis of Ecosim models (the PREP equation). One limitation of the Atlantis model is that it did not include processes that might give rise to localized depletion of sardine at scales relevant to central place foragers, such as birds and pinnipeds. This analysis will contribute to a collaborative multi-model approach that evaluates the role of sardine in the California Current.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":28697,"name":"Ecological Modelling","url":"https://www.academia.edu/Documents/in/Ecological_Modelling"}],"urls":[{"id":16125107,"url":"http://api.elsevier.com/content/article/PII:S0304380016308262?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67273254"><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/67273254/The_need_for_validation_of_ecological_indices"><img alt="Research paper thumbnail of The need for validation of ecological indices" class="work-thumbnail" src="https://attachments.academia-assets.com/78150853/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/67273254/The_need_for_validation_of_ecological_indices">The need for validation of ecological indices</a></div><div class="wp-workCard_item"><span>Ecological Indicators</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Increased recognition of the need for ecosystem-based management has resulted in a growing body o...</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">Increased recognition of the need for ecosystem-based management has resulted in a growing body of research on the use of indicators to represent and track ecosystem status, particularly in marine environments. While multiple frameworks have been developed for selecting and evaluating indicators, certain types of indicators require additional consideration and validation. In particular, an index, which we define as an aggregation of two or more indicators, may have unique properties and behaviors that can make interpretation difficult, particularly in a management context. We assert that more rigorous validation and testing is required for indices, particularly those used to inform management decisions. To support this point we demonstrate the need for validation and then explore current development and validation processes for ecosystem indices. We also compare how other disciplines (e.g., medicine, economics) validate indices. Validating indices (and indicators) is particularly challenging because they are often developed without an explicit objective in mind. We suggest that exploring the sensitivity of an index to the assumptions made during its development be a prerequisite to employing such an index.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8befcb20146cf485e5858a8290436b29" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150853,"asset_id":67273254,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150853/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273254"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273254"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273254; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273254]").text(description); $(".js-view-count[data-work-id=67273254]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273254; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273254']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273254, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8befcb20146cf485e5858a8290436b29" } } $('.js-work-strip[data-work-id=67273254]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273254,"title":"The need for validation of ecological indices","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Increased recognition of the need for ecosystem-based management has resulted in a growing body of research on the use of indicators to represent and track ecosystem status, particularly in marine environments. While multiple frameworks have been developed for selecting and evaluating indicators, certain types of indicators require additional consideration and validation. In particular, an index, which we define as an aggregation of two or more indicators, may have unique properties and behaviors that can make interpretation difficult, particularly in a management context. We assert that more rigorous validation and testing is required for indices, particularly those used to inform management decisions. To support this point we demonstrate the need for validation and then explore current development and validation processes for ecosystem indices. We also compare how other disciplines (e.g., medicine, economics) validate indices. Validating indices (and indicators) is particularly challenging because they are often developed without an explicit objective in mind. We suggest that exploring the sensitivity of an index to the assumptions made during its development be a prerequisite to employing such an index.","publication_name":"Ecological Indicators","grobid_abstract_attachment_id":78150853},"translated_abstract":null,"internal_url":"https://www.academia.edu/67273254/The_need_for_validation_of_ecological_indices","translated_internal_url":"","created_at":"2022-01-05T11:38:48.231-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":78150853,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150853/thumbnails/1.jpg","file_name":"91357.pdf","download_url":"https://www.academia.edu/attachments/78150853/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_need_for_validation_of_ecological_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150853/91357-libre.pdf?1641411861=\u0026response-content-disposition=attachment%3B+filename%3DThe_need_for_validation_of_ecological_in.pdf\u0026Expires=1735014749\u0026Signature=E9OXOxSJxzQwbnx6YZPTulgtCVsBwBAw-PVZKVNhFNtzqYhe5nItzRrh42sx0VyoZGOpq1~VYle3dSKMhmWsRashgpSNTSmJZzNg5hmmUqJQ3UUqk4i1dTwUqIQG54f2ffk3PlFBd2rYkSI93CITcEqrmmFZLyjEoKBeZP18bbgAdDFuizrJr5nZQaSDguVO7yOAw7p1B4bwUjVWJhGgZTMY7x9bT5KCdZ-BEIgDYCtQpRP9YC--S09M-EvCsGlJ9LMeike272kZi3zz9J4d4FkR6mKuIfacIRlOAWJEf3oalT0L3QxZ6VB2-8zymishrFPMKAh-tmNFFPYayaxrPQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_need_for_validation_of_ecological_indices","translated_slug":"","page_count":3,"language":"en","content_type":"Work","summary":"Increased recognition of the need for ecosystem-based management has resulted in a growing body of research on the use of indicators to represent and track ecosystem status, particularly in marine environments. While multiple frameworks have been developed for selecting and evaluating indicators, certain types of indicators require additional consideration and validation. In particular, an index, which we define as an aggregation of two or more indicators, may have unique properties and behaviors that can make interpretation difficult, particularly in a management context. We assert that more rigorous validation and testing is required for indices, particularly those used to inform management decisions. To support this point we demonstrate the need for validation and then explore current development and validation processes for ecosystem indices. We also compare how other disciplines (e.g., medicine, economics) validate indices. Validating indices (and indicators) is particularly challenging because they are often developed without an explicit objective in mind. We suggest that exploring the sensitivity of an index to the assumptions made during its development be a prerequisite to employing such an index.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[{"id":78150853,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150853/thumbnails/1.jpg","file_name":"91357.pdf","download_url":"https://www.academia.edu/attachments/78150853/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_need_for_validation_of_ecological_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150853/91357-libre.pdf?1641411861=\u0026response-content-disposition=attachment%3B+filename%3DThe_need_for_validation_of_ecological_in.pdf\u0026Expires=1735014749\u0026Signature=E9OXOxSJxzQwbnx6YZPTulgtCVsBwBAw-PVZKVNhFNtzqYhe5nItzRrh42sx0VyoZGOpq1~VYle3dSKMhmWsRashgpSNTSmJZzNg5hmmUqJQ3UUqk4i1dTwUqIQG54f2ffk3PlFBd2rYkSI93CITcEqrmmFZLyjEoKBeZP18bbgAdDFuizrJr5nZQaSDguVO7yOAw7p1B4bwUjVWJhGgZTMY7x9bT5KCdZ-BEIgDYCtQpRP9YC--S09M-EvCsGlJ9LMeike272kZi3zz9J4d4FkR6mKuIfacIRlOAWJEf3oalT0L3QxZ6VB2-8zymishrFPMKAh-tmNFFPYayaxrPQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":138744,"name":"Ecological Indicators","url":"https://www.academia.edu/Documents/in/Ecological_Indicators"},{"id":260118,"name":"CHEMICAL SCIENCES","url":"https://www.academia.edu/Documents/in/CHEMICAL_SCIENCES"}],"urls":[{"id":16125105,"url":"http://api.elsevier.com/content/article/PII:S1470160X17305964?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67273243"><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/67273243/Risks_of_ocean_acidification_in_the_California_Current_food_web_and_fisheries_ecosystem_model_projections"><img alt="Research paper thumbnail of Risks of ocean acidification in the California Current food web and fisheries: ecosystem model projections" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273243/Risks_of_ocean_acidification_in_the_California_Current_food_web_and_fisheries_ecosystem_model_projections">Risks of ocean acidification in the California Current food web and fisheries: ecosystem model projections</a></div><div class="wp-workCard_item"><span>Global Change Biology</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The benefits and ecosystem services that humans derive from the oceans are threatened by numerous...</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 benefits and ecosystem services that humans derive from the oceans are threatened by numerous global change stressors, one of which is ocean acidification. Here, we describe the effects of ocean acidification on an upwelling system that already experiences inherently low pH conditions, the California Current. We used an end-to-end ecosystem model (Atlantis), forced by downscaled global climate models and informed by a meta-analysis of the pH sensitivities of local taxa, to investigate the direct and indirect effects of future pH on biomass and fisheries revenues. Our model projects a 0.2-unit drop in pH during the summer upwelling season from 2013 to 2063, which results in wide-ranging magnitudes of effects across guilds and functional groups. The most dramatic direct effects of future pH may be expected on epibenthic invertebrates (crabs, shrimps, benthic grazers, benthic detritivores, bivalves), and strong indirect effects expected on some demersal fish, sharks, and epibenthic invertebrates (Dungeness crab) because they consume species known to be sensitive to changing pH. The model&amp;amp;amp;amp;amp;amp;amp;#39;s pelagic community, including marine mammals and seabirds, was much less influenced by future pH. Some functional groups were less affected to changing pH in the model than might be expected from experimental studies in the empirical literature due to high population productivity (e.g., copepods, pteropods). Model results suggest strong effects of reduced pH on nearshore state-managed invertebrate fisheries, but modest effects on the groundfish fishery because individual groundfish species exhibited diverse responses to changing pH. Our results provide a set of projections that generally support and build upon previous findings and set the stage for hypotheses to guide future modeling and experimental analysis on the effects of OA on marine ecosystems and fisheries.</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="67273243"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273243"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273243; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273243]").text(description); $(".js-view-count[data-work-id=67273243]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273243; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273243']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273243, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273243]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273243,"title":"Risks of ocean acidification in the California Current food web and fisheries: ecosystem model projections","translated_title":"","metadata":{"abstract":"The benefits and ecosystem services that humans derive from the oceans are threatened by numerous global change stressors, one of which is ocean acidification. Here, we describe the effects of ocean acidification on an upwelling system that already experiences inherently low pH conditions, the California Current. We used an end-to-end ecosystem model (Atlantis), forced by downscaled global climate models and informed by a meta-analysis of the pH sensitivities of local taxa, to investigate the direct and indirect effects of future pH on biomass and fisheries revenues. Our model projects a 0.2-unit drop in pH during the summer upwelling season from 2013 to 2063, which results in wide-ranging magnitudes of effects across guilds and functional groups. The most dramatic direct effects of future pH may be expected on epibenthic invertebrates (crabs, shrimps, benthic grazers, benthic detritivores, bivalves), and strong indirect effects expected on some demersal fish, sharks, and epibenthic invertebrates (Dungeness crab) because they consume species known to be sensitive to changing pH. The model\u0026amp;amp;amp;amp;amp;amp;amp;#39;s pelagic community, including marine mammals and seabirds, was much less influenced by future pH. Some functional groups were less affected to changing pH in the model than might be expected from experimental studies in the empirical literature due to high population productivity (e.g., copepods, pteropods). Model results suggest strong effects of reduced pH on nearshore state-managed invertebrate fisheries, but modest effects on the groundfish fishery because individual groundfish species exhibited diverse responses to changing pH. Our results provide a set of projections that generally support and build upon previous findings and set the stage for hypotheses to guide future modeling and experimental analysis on the effects of OA on marine ecosystems and fisheries.","publisher":"Wiley-Blackwell","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Global Change Biology"},"translated_abstract":"The benefits and ecosystem services that humans derive from the oceans are threatened by numerous global change stressors, one of which is ocean acidification. Here, we describe the effects of ocean acidification on an upwelling system that already experiences inherently low pH conditions, the California Current. We used an end-to-end ecosystem model (Atlantis), forced by downscaled global climate models and informed by a meta-analysis of the pH sensitivities of local taxa, to investigate the direct and indirect effects of future pH on biomass and fisheries revenues. Our model projects a 0.2-unit drop in pH during the summer upwelling season from 2013 to 2063, which results in wide-ranging magnitudes of effects across guilds and functional groups. The most dramatic direct effects of future pH may be expected on epibenthic invertebrates (crabs, shrimps, benthic grazers, benthic detritivores, bivalves), and strong indirect effects expected on some demersal fish, sharks, and epibenthic invertebrates (Dungeness crab) because they consume species known to be sensitive to changing pH. The model\u0026amp;amp;amp;amp;amp;amp;amp;#39;s pelagic community, including marine mammals and seabirds, was much less influenced by future pH. Some functional groups were less affected to changing pH in the model than might be expected from experimental studies in the empirical literature due to high population productivity (e.g., copepods, pteropods). Model results suggest strong effects of reduced pH on nearshore state-managed invertebrate fisheries, but modest effects on the groundfish fishery because individual groundfish species exhibited diverse responses to changing pH. Our results provide a set of projections that generally support and build upon previous findings and set the stage for hypotheses to guide future modeling and experimental analysis on the effects of OA on marine ecosystems and fisheries.","internal_url":"https://www.academia.edu/67273243/Risks_of_ocean_acidification_in_the_California_Current_food_web_and_fisheries_ecosystem_model_projections","translated_internal_url":"","created_at":"2022-01-05T11:38:45.479-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Risks_of_ocean_acidification_in_the_California_Current_food_web_and_fisheries_ecosystem_model_projections","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"The benefits and ecosystem services that humans derive from the oceans are threatened by numerous global change stressors, one of which is ocean acidification. Here, we describe the effects of ocean acidification on an upwelling system that already experiences inherently low pH conditions, the California Current. We used an end-to-end ecosystem model (Atlantis), forced by downscaled global climate models and informed by a meta-analysis of the pH sensitivities of local taxa, to investigate the direct and indirect effects of future pH on biomass and fisheries revenues. Our model projects a 0.2-unit drop in pH during the summer upwelling season from 2013 to 2063, which results in wide-ranging magnitudes of effects across guilds and functional groups. The most dramatic direct effects of future pH may be expected on epibenthic invertebrates (crabs, shrimps, benthic grazers, benthic detritivores, bivalves), and strong indirect effects expected on some demersal fish, sharks, and epibenthic invertebrates (Dungeness crab) because they consume species known to be sensitive to changing pH. The model\u0026amp;amp;amp;amp;amp;amp;amp;#39;s pelagic community, including marine mammals and seabirds, was much less influenced by future pH. Some functional groups were less affected to changing pH in the model than might be expected from experimental studies in the empirical literature due to high population productivity (e.g., copepods, pteropods). Model results suggest strong effects of reduced pH on nearshore state-managed invertebrate fisheries, but modest effects on the groundfish fishery because individual groundfish species exhibited diverse responses to changing pH. Our results provide a set of projections that generally support and build upon previous findings and set the stage for hypotheses to guide future modeling and experimental analysis on the effects of OA on marine ecosystems and fisheries.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":4711,"name":"Fisheries","url":"https://www.academia.edu/Documents/in/Fisheries"},{"id":7051,"name":"Invertebrates","url":"https://www.academia.edu/Documents/in/Invertebrates"},{"id":26039,"name":"Global Change Biology","url":"https://www.academia.edu/Documents/in/Global_Change_Biology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":41779,"name":"Mammals","url":"https://www.academia.edu/Documents/in/Mammals"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":50113,"name":"California","url":"https://www.academia.edu/Documents/in/California"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":373754,"name":"Ecosystem","url":"https://www.academia.edu/Documents/in/Ecosystem"},{"id":1013028,"name":"Food Chain","url":"https://www.academia.edu/Documents/in/Food_Chain"},{"id":1137254,"name":"Hydrogen-Ion Concentration","url":"https://www.academia.edu/Documents/in/Hydrogen-Ion_Concentration"},{"id":1795281,"name":"Oceans and Seas","url":"https://www.academia.edu/Documents/in/Oceans_and_Seas"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67273237"><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/67273237/Extending_Vulnerability_Assessment_to_Include_Life_Stages_Considerations"><img alt="Research paper thumbnail of Extending Vulnerability Assessment to Include Life Stages Considerations" class="work-thumbnail" src="https://attachments.academia-assets.com/78150854/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/67273237/Extending_Vulnerability_Assessment_to_Include_Life_Stages_Considerations">Extending Vulnerability Assessment to Include Life Stages Considerations</a></div><div class="wp-workCard_item"><span>PLOS ONE</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Species are experiencing a suite of novel stressors from anthropogenic activities that have impac...</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">Species are experiencing a suite of novel stressors from anthropogenic activities that have impacts at multiple scales. Vulnerability assessment is one tool to evaluate the likely impacts that these stressors pose to species so that high-vulnerability cases can be identified and prioritized for monitoring, protection, or mitigation. Commonly used semi-quantitative methods lack a framework to explicitly account for differences in exposure to stressors and organism responses across life stages. Here we propose a modification to commonly used spatial vulnerability assessment methods that includes such an approach, using ocean acidification in the California Current as an illustrative case study. Life stage considerations were included by assessing vulnerability of each life stage to ocean acidification and were used to estimate population vulnerability in two ways. We set population vulnerability equal to: (1) the maximum stage vulnerability and (2) a weighted mean across all stages, with weights calculated using Lefkovitch matrix models. Vulnerability was found to vary across life stages for the six species explored in this case study: two krill-Euphausia pacifica and Thysanoessa spinifera, pteropod-Limacina helicina, pink shrimp-Pandalus jordani, Dungeness crab-Metacarcinus magister and Pacific hake-Merluccius productus. The maximum vulnerability estimates ranged from larval to subadult and adult stages with no consistent stage having maximum vulnerability across species. Similarly, integrated vulnerability metrics varied greatly across species. A comparison showed that some species had vulnerabilities that were similar between the two metrics, while other species' vulnerabilities varied substantially between the two metrics. These differences primarily resulted from cases where the most vulnerable stage had a low relative weight. We compare these methods and explore circumstances where each method may be appropriate.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7dc2627d8514fbb95ff67fdb44505605" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150854,"asset_id":67273237,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150854/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273237"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273237"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273237; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273237]").text(description); $(".js-view-count[data-work-id=67273237]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273237; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273237']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273237, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7dc2627d8514fbb95ff67fdb44505605" } } $('.js-work-strip[data-work-id=67273237]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273237,"title":"Extending Vulnerability Assessment to Include Life Stages Considerations","translated_title":"","metadata":{"publisher":"Public Library of Science (PLoS)","grobid_abstract":"Species are experiencing a suite of novel stressors from anthropogenic activities that have impacts at multiple scales. Vulnerability assessment is one tool to evaluate the likely impacts that these stressors pose to species so that high-vulnerability cases can be identified and prioritized for monitoring, protection, or mitigation. Commonly used semi-quantitative methods lack a framework to explicitly account for differences in exposure to stressors and organism responses across life stages. Here we propose a modification to commonly used spatial vulnerability assessment methods that includes such an approach, using ocean acidification in the California Current as an illustrative case study. Life stage considerations were included by assessing vulnerability of each life stage to ocean acidification and were used to estimate population vulnerability in two ways. We set population vulnerability equal to: (1) the maximum stage vulnerability and (2) a weighted mean across all stages, with weights calculated using Lefkovitch matrix models. Vulnerability was found to vary across life stages for the six species explored in this case study: two krill-Euphausia pacifica and Thysanoessa spinifera, pteropod-Limacina helicina, pink shrimp-Pandalus jordani, Dungeness crab-Metacarcinus magister and Pacific hake-Merluccius productus. The maximum vulnerability estimates ranged from larval to subadult and adult stages with no consistent stage having maximum vulnerability across species. Similarly, integrated vulnerability metrics varied greatly across species. A comparison showed that some species had vulnerabilities that were similar between the two metrics, while other species' vulnerabilities varied substantially between the two metrics. These differences primarily resulted from cases where the most vulnerable stage had a low relative weight. We compare these methods and explore circumstances where each method may be appropriate.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"PLOS ONE","grobid_abstract_attachment_id":78150854},"translated_abstract":null,"internal_url":"https://www.academia.edu/67273237/Extending_Vulnerability_Assessment_to_Include_Life_Stages_Considerations","translated_internal_url":"","created_at":"2022-01-05T11:38:43.257-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":78150854,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150854/thumbnails/1.jpg","file_name":"1173985577c8fef38a0fc91fb32091838318.pdf","download_url":"https://www.academia.edu/attachments/78150854/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Extending_Vulnerability_Assessment_to_In.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150854/1173985577c8fef38a0fc91fb32091838318-libre.pdf?1641411864=\u0026response-content-disposition=attachment%3B+filename%3DExtending_Vulnerability_Assessment_to_In.pdf\u0026Expires=1735014749\u0026Signature=UxWnPrNvVQEs-GpCA5pbVuwr1LGbIy9c8nILVmGMwaUnK3POzo5uTOwRTu8CFr3W664DfpU16jVBkTwH2xUWLATLqjxveHyAx9Njj6fg3f-m1sqUcQSAvPKgs44u24SvGM7Kn9C1ayNAYiAD9FzVig3JeoduePxo3-9c-3RmQU~C-~qjKL3hMnwkkNLSm4qlW2anW3NomlsDP6EgvkoJasEtFYIYEShTocdY~c2ZVV8noVkswbAFGtpN-9jujiSH1o6QYl72nuhRmgH4SnTJvdJ9XCcTyYtWbpDQYUGLLOsULKq9o1yZc2f17E5reOK~lD6zqBdhHFWtfmc5JpzNAQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Extending_Vulnerability_Assessment_to_Include_Life_Stages_Considerations","translated_slug":"","page_count":22,"language":"en","content_type":"Work","summary":"Species are experiencing a suite of novel stressors from anthropogenic activities that have impacts at multiple scales. Vulnerability assessment is one tool to evaluate the likely impacts that these stressors pose to species so that high-vulnerability cases can be identified and prioritized for monitoring, protection, or mitigation. Commonly used semi-quantitative methods lack a framework to explicitly account for differences in exposure to stressors and organism responses across life stages. Here we propose a modification to commonly used spatial vulnerability assessment methods that includes such an approach, using ocean acidification in the California Current as an illustrative case study. Life stage considerations were included by assessing vulnerability of each life stage to ocean acidification and were used to estimate population vulnerability in two ways. We set population vulnerability equal to: (1) the maximum stage vulnerability and (2) a weighted mean across all stages, with weights calculated using Lefkovitch matrix models. Vulnerability was found to vary across life stages for the six species explored in this case study: two krill-Euphausia pacifica and Thysanoessa spinifera, pteropod-Limacina helicina, pink shrimp-Pandalus jordani, Dungeness crab-Metacarcinus magister and Pacific hake-Merluccius productus. The maximum vulnerability estimates ranged from larval to subadult and adult stages with no consistent stage having maximum vulnerability across species. Similarly, integrated vulnerability metrics varied greatly across species. A comparison showed that some species had vulnerabilities that were similar between the two metrics, while other species' vulnerabilities varied substantially between the two metrics. These differences primarily resulted from cases where the most vulnerable stage had a low relative weight. We compare these methods and explore circumstances where each method may be appropriate.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[{"id":78150854,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150854/thumbnails/1.jpg","file_name":"1173985577c8fef38a0fc91fb32091838318.pdf","download_url":"https://www.academia.edu/attachments/78150854/download_file?st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Extending_Vulnerability_Assessment_to_In.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150854/1173985577c8fef38a0fc91fb32091838318-libre.pdf?1641411864=\u0026response-content-disposition=attachment%3B+filename%3DExtending_Vulnerability_Assessment_to_In.pdf\u0026Expires=1735014749\u0026Signature=UxWnPrNvVQEs-GpCA5pbVuwr1LGbIy9c8nILVmGMwaUnK3POzo5uTOwRTu8CFr3W664DfpU16jVBkTwH2xUWLATLqjxveHyAx9Njj6fg3f-m1sqUcQSAvPKgs44u24SvGM7Kn9C1ayNAYiAD9FzVig3JeoduePxo3-9c-3RmQU~C-~qjKL3hMnwkkNLSm4qlW2anW3NomlsDP6EgvkoJasEtFYIYEShTocdY~c2ZVV8noVkswbAFGtpN-9jujiSH1o6QYl72nuhRmgH4SnTJvdJ9XCcTyYtWbpDQYUGLLOsULKq9o1yZc2f17E5reOK~lD6zqBdhHFWtfmc5JpzNAQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":220780,"name":"PLoS one","url":"https://www.academia.edu/Documents/in/PLoS_one"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67273224"><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/67273224/An_Ecological_Risk_Analysis_of_Ocean_Acidification_in_the_California_Current"><img alt="Research paper thumbnail of An Ecological Risk Analysis of Ocean Acidification in the California Current" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273224/An_Ecological_Risk_Analysis_of_Ocean_Acidification_in_the_California_Current">An Ecological Risk Analysis of Ocean Acidification in the California Current</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The oceans absorb approximately 30% of carbon emitted into the atmosphere, causing tempe...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT The oceans absorb approximately 30% of carbon emitted into the atmosphere, causing temperature changes and ocean acidification. However, the realized impact that ocean acidification will have on marine ecosystems remains largely unknown. Here, we adopt a risk-based framework for screening species most likely to be affected by changes in pH based on exposure, sensitivity, and life stage analysis. The risk metric adapts the existing approach of determining sensitivity and exposure by adding a third axis of life stage elasticity. This approach allows for an investigation of the risk faced by key species in the California Current accounting for the importance of each life stage for species’ success. The California Current is an ideal study system, as low levels of carbonate saturation already exist within the near-shore environment due to upwelling and species currently experiencing low pH will experience even lower levels earlier than those in other regions. Species were selected based on ecological and/or economic importance. Results from this analysis applied to seven species from zooplankton to crustaceans and fish, reveal differences in risk based on life histories and physiological tolerance. This work reveals information gaps needed to precisely forecast ecological changes from acidification, and to more effectively assess risk.</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="67273224"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273224"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273224; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273224]").text(description); $(".js-view-count[data-work-id=67273224]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273224; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273224']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273224, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273224]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273224,"title":"An Ecological Risk Analysis of Ocean Acidification in the California Current","translated_title":"","metadata":{"abstract":"ABSTRACT The oceans absorb approximately 30% of carbon emitted into the atmosphere, causing temperature changes and ocean acidification. However, the realized impact that ocean acidification will have on marine ecosystems remains largely unknown. Here, we adopt a risk-based framework for screening species most likely to be affected by changes in pH based on exposure, sensitivity, and life stage analysis. The risk metric adapts the existing approach of determining sensitivity and exposure by adding a third axis of life stage elasticity. This approach allows for an investigation of the risk faced by key species in the California Current accounting for the importance of each life stage for species’ success. The California Current is an ideal study system, as low levels of carbonate saturation already exist within the near-shore environment due to upwelling and species currently experiencing low pH will experience even lower levels earlier than those in other regions. Species were selected based on ecological and/or economic importance. Results from this analysis applied to seven species from zooplankton to crustaceans and fish, reveal differences in risk based on life histories and physiological tolerance. This work reveals information gaps needed to precisely forecast ecological changes from acidification, and to more effectively assess risk.","publication_date":{"day":20,"month":8,"year":2014,"errors":{}}},"translated_abstract":"ABSTRACT The oceans absorb approximately 30% of carbon emitted into the atmosphere, causing temperature changes and ocean acidification. However, the realized impact that ocean acidification will have on marine ecosystems remains largely unknown. Here, we adopt a risk-based framework for screening species most likely to be affected by changes in pH based on exposure, sensitivity, and life stage analysis. The risk metric adapts the existing approach of determining sensitivity and exposure by adding a third axis of life stage elasticity. This approach allows for an investigation of the risk faced by key species in the California Current accounting for the importance of each life stage for species’ success. The California Current is an ideal study system, as low levels of carbonate saturation already exist within the near-shore environment due to upwelling and species currently experiencing low pH will experience even lower levels earlier than those in other regions. Species were selected based on ecological and/or economic importance. Results from this analysis applied to seven species from zooplankton to crustaceans and fish, reveal differences in risk based on life histories and physiological tolerance. This work reveals information gaps needed to precisely forecast ecological changes from acidification, and to more effectively assess risk.","internal_url":"https://www.academia.edu/67273224/An_Ecological_Risk_Analysis_of_Ocean_Acidification_in_the_California_Current","translated_internal_url":"","created_at":"2022-01-05T11:38:38.390-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"An_Ecological_Risk_Analysis_of_Ocean_Acidification_in_the_California_Current","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"ABSTRACT The oceans absorb approximately 30% of carbon emitted into the atmosphere, causing temperature changes and ocean acidification. However, the realized impact that ocean acidification will have on marine ecosystems remains largely unknown. Here, we adopt a risk-based framework for screening species most likely to be affected by changes in pH based on exposure, sensitivity, and life stage analysis. The risk metric adapts the existing approach of determining sensitivity and exposure by adding a third axis of life stage elasticity. This approach allows for an investigation of the risk faced by key species in the California Current accounting for the importance of each life stage for species’ success. The California Current is an ideal study system, as low levels of carbonate saturation already exist within the near-shore environment due to upwelling and species currently experiencing low pH will experience even lower levels earlier than those in other regions. Species were selected based on ecological and/or economic importance. Results from this analysis applied to seven species from zooplankton to crustaceans and fish, reveal differences in risk based on life histories and physiological tolerance. This work reveals information gaps needed to precisely forecast ecological changes from acidification, and to more effectively assess risk.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67259216"><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/67259216/The_benefits_of_workshopping_graduate_fellowships_a_how_to_guide_for_graduate_students_and_early_career_scientists"><img alt="Research paper thumbnail of The benefits of workshopping graduate fellowships: a how-to guide for graduate students and early career scientists" class="work-thumbnail" src="https://attachments.academia-assets.com/78142485/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/67259216/The_benefits_of_workshopping_graduate_fellowships_a_how_to_guide_for_graduate_students_and_early_career_scientists">The benefits of workshopping graduate fellowships: a how-to guide for graduate students and early career scientists</a></div><div class="wp-workCard_item"><span>Ideas in Ecology and Evolution</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Grant and fellowship proposal writing are key skills for professionals in scientific and research...</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">Grant and fellowship proposal writing are key skills for professionals in scientific and research-driven fields, and early exposure and training in proposal writing substantially benefits early career scientists. Here, we present a framework for a student-led workshop for graduate fellowships that is built upon four years of implementation at the University of Washington's School of Aquatic and Fishery Sciences (Seattle, USA). This workshop was designed for applicants to the United States National Science Foundation Graduate Research Fellowship Program (NSF GRFP), but the format is flexible and easily tailored to other fellowships. We describe the primary components of the workshop, the implementation of the workshop, and the major benefits as reported by participants at the University of Washington. The core of the workshop framework is a small group structure that facilitates valuable in-depth interactions among student mentors and applicants. The primary outcomes of the workshop include improved writing and communication skills for graduate students and experience with peer review and critical feedback for both applicants and student mentors. These outcomes are achieved while maintaining a reasonable time commitment for student mentors. The workshop format is sustainable, promotes community-building within and across departments, and facilitates equal access to mentorship and resources for all students.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b1379ba64d4f22086857c8f877d3deb4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78142485,"asset_id":67259216,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78142485/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&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="67259216"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67259216"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67259216; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67259216]").text(description); $(".js-view-count[data-work-id=67259216]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67259216; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67259216']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67259216, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b1379ba64d4f22086857c8f877d3deb4" } } $('.js-work-strip[data-work-id=67259216]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67259216,"title":"The benefits of workshopping graduate fellowships: a how-to guide for graduate students and early career scientists","translated_title":"","metadata":{"publisher":"Ideas in Ecology and Evolution","ai_title_tag":"Workshop Framework for Graduate Fellowship Proposal Writing","grobid_abstract":"Grant and fellowship proposal writing are key skills for professionals in scientific and research-driven fields, and early exposure and training in proposal writing substantially benefits early career scientists. Here, we present a framework for a student-led workshop for graduate fellowships that is built upon four years of implementation at the University of Washington's School of Aquatic and Fishery Sciences (Seattle, USA). This workshop was designed for applicants to the United States National Science Foundation Graduate Research Fellowship Program (NSF GRFP), but the format is flexible and easily tailored to other fellowships. We describe the primary components of the workshop, the implementation of the workshop, and the major benefits as reported by participants at the University of Washington. The core of the workshop framework is a small group structure that facilitates valuable in-depth interactions among student mentors and applicants. The primary outcomes of the workshop include improved writing and communication skills for graduate students and experience with peer review and critical feedback for both applicants and student mentors. These outcomes are achieved while maintaining a reasonable time commitment for student mentors. 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Here, we present a framework for a student-led workshop for graduate fellowships that is built upon four years of implementation at the University of Washington's School of Aquatic and Fishery Sciences (Seattle, USA). This workshop was designed for applicants to the United States National Science Foundation Graduate Research Fellowship Program (NSF GRFP), but the format is flexible and easily tailored to other fellowships. We describe the primary components of the workshop, the implementation of the workshop, and the major benefits as reported by participants at the University of Washington. The core of the workshop framework is a small group structure that facilitates valuable in-depth interactions among student mentors and applicants. The primary outcomes of the workshop include improved writing and communication skills for graduate students and experience with peer review and critical feedback for both applicants and student mentors. 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Fishing can thereby have far reaching consequences on marine food webs unless safeguards are in place to avoid depleting forage fish to low levels. Disentangling the contributions of fishing versus natural processes on population dynamics has been difficult because of the sensitivity of these stocks to environmental conditions. Here we overcome this difficulty by collating population abundance time series for forage stocks that account for nearly two-thirds of global catch of forage fish and use this information to identify the fingerprint of fisheries on their population dynamics. Stock collapses have been occurring regularly, and are increasing in frequency, implying that modern science-based management has not been able to adaptively respond to rapid changes in stock productivity. Forage fish stock collapses are preceded by high fishing rates and sharp drops in stock productivity. Consequently, collapses have been more frequent and more severe than they would be in the absence of fishing. A precautionary fisheries management scheme that limits fishing when populations become scarce would benefit both fisheries and ecosystems.</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="60332133"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="60332133"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 60332133; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=60332133]").text(description); $(".js-view-count[data-work-id=60332133]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 60332133; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='60332133']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 60332133, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=60332133]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":60332133,"title":"Fishing Amplifies Collapse of Forage Fish: Management Thresholds for Ecosystem-Based Management","translated_title":"","metadata":{"abstract":"ABSTRACT Forage fish support the largest fisheries in the world yet also play key roles in marine food webs as prey for large fish, seabirds, and marine mammals. Fishing can thereby have far reaching consequences on marine food webs unless safeguards are in place to avoid depleting forage fish to low levels. Disentangling the contributions of fishing versus natural processes on population dynamics has been difficult because of the sensitivity of these stocks to environmental conditions. Here we overcome this difficulty by collating population abundance time series for forage stocks that account for nearly two-thirds of global catch of forage fish and use this information to identify the fingerprint of fisheries on their population dynamics. Stock collapses have been occurring regularly, and are increasing in frequency, implying that modern science-based management has not been able to adaptively respond to rapid changes in stock productivity. Forage fish stock collapses are preceded by high fishing rates and sharp drops in stock productivity. Consequently, collapses have been more frequent and more severe than they would be in the absence of fishing. A precautionary fisheries management scheme that limits fishing when populations become scarce would benefit both fisheries and ecosystems.","publication_date":{"day":20,"month":8,"year":2014,"errors":{}}},"translated_abstract":"ABSTRACT Forage fish support the largest fisheries in the world yet also play key roles in marine food webs as prey for large fish, seabirds, and marine mammals. Fishing can thereby have far reaching consequences on marine food webs unless safeguards are in place to avoid depleting forage fish to low levels. Disentangling the contributions of fishing versus natural processes on population dynamics has been difficult because of the sensitivity of these stocks to environmental conditions. Here we overcome this difficulty by collating population abundance time series for forage stocks that account for nearly two-thirds of global catch of forage fish and use this information to identify the fingerprint of fisheries on their population dynamics. Stock collapses have been occurring regularly, and are increasing in frequency, implying that modern science-based management has not been able to adaptively respond to rapid changes in stock productivity. Forage fish stock collapses are preceded by high fishing rates and sharp drops in stock productivity. Consequently, collapses have been more frequent and more severe than they would be in the absence of fishing. A precautionary fisheries management scheme that limits fishing when populations become scarce would benefit both fisheries and ecosystems.","internal_url":"https://www.academia.edu/60332133/Fishing_Amplifies_Collapse_of_Forage_Fish_Management_Thresholds_for_Ecosystem_Based_Management","translated_internal_url":"","created_at":"2021-10-29T09:52:12.273-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Fishing_Amplifies_Collapse_of_Forage_Fish_Management_Thresholds_for_Ecosystem_Based_Management","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"ABSTRACT Forage fish support the largest fisheries in the world yet also play key roles in marine food webs as prey for large fish, seabirds, and marine mammals. Fishing can thereby have far reaching consequences on marine food webs unless safeguards are in place to avoid depleting forage fish to low levels. Disentangling the contributions of fishing versus natural processes on population dynamics has been difficult because of the sensitivity of these stocks to environmental conditions. Here we overcome this difficulty by collating population abundance time series for forage stocks that account for nearly two-thirds of global catch of forage fish and use this information to identify the fingerprint of fisheries on their population dynamics. Stock collapses have been occurring regularly, and are increasing in frequency, implying that modern science-based management has not been able to adaptively respond to rapid changes in stock productivity. Forage fish stock collapses are preceded by high fishing rates and sharp drops in stock productivity. Consequently, collapses have been more frequent and more severe than they would be in the absence of fishing. A precautionary fisheries management scheme that limits fishing when populations become scarce would benefit both fisheries and ecosystems.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="17116194"><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/17116194/Reductions_in_federal_oversight_of_aquatic_systems_in_Canada_implications_of_the_new_Navigation_Protection_Act"><img alt="Research paper thumbnail of Reductions in federal oversight of aquatic systems in Canada: implications of the new Navigation Protection Act" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/17116194/Reductions_in_federal_oversight_of_aquatic_systems_in_Canada_implications_of_the_new_Navigation_Protection_Act">Reductions in federal oversight of aquatic systems in Canada: implications of the new Navigation Protection Act</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://queensu.academia.edu/AdrienneDavidson">Adrienne Davidson</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AmandaWinegardner">Amanda Winegardner</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/HodgsonEmma">Emma E Hodgson</a></span></div><div class="wp-workCard_item"><span>Canadian Journal of Fisheries and Aquatic Sciences</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The reduction of environmental legislation and regulation has become a common practice for govern...</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 reduction of environmental legislation and regulation has become a common practice for governments looking to reduce government overhead while boosting private sector investment. Following this trend, in 2012 Canada enacted major legislative changes to its environmental policies. The Canadian Environmental Assessment Act (CEAA) was overhauled, and related Acts, including the (federal) Navigable Water Protection Act (NWPA), saw their regulatory processes reduced. There is a need for aquatic scientists to better understand the potential implications for environmental protection and the systems we study. We provide an overview of changes to the CEAA and NWPA before quantifying the duration and outcomes of NWPA-triggered assessments, as well as the implications of changes to the CEAA and NWPA. We find that 87% of environmental assessments that were triggered by the NWPA in the last 10 years were completed within 2 years and that the majority resulted in project approval. Of the assessments reviewed, 58% were on water bodies that are no longer protected under the new <br />Navigation Protection Act, suggesting that the combination of these changes and new Acts will result in substantial reductions of environmental assessments on aquatic systems.</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="17116194"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="17116194"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 17116194; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=17116194]").text(description); $(".js-view-count[data-work-id=17116194]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 17116194; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='17116194']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 17116194, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=17116194]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":17116194,"title":"Reductions in federal oversight of aquatic systems in Canada: implications of the new Navigation Protection Act","translated_title":"","metadata":{"abstract":"The reduction of environmental legislation and regulation has become a common practice for governments looking to reduce government overhead while boosting private sector investment. Following this trend, in 2012 Canada enacted major legislative changes to its environmental policies. The Canadian Environmental Assessment Act (CEAA) was overhauled, and related Acts, including the (federal) Navigable Water Protection Act (NWPA), saw their regulatory processes reduced. There is a need for aquatic scientists to better understand the potential implications for environmental protection and the systems we study. We provide an overview of changes to the CEAA and NWPA before quantifying the duration and outcomes of NWPA-triggered assessments, as well as the implications of changes to the CEAA and NWPA. We find that 87% of environmental assessments that were triggered by the NWPA in the last 10 years were completed within 2 years and that the majority resulted in project approval. Of the assessments reviewed, 58% were on water bodies that are no longer protected under the new\r\nNavigation Protection Act, suggesting that the combination of these changes and new Acts will result in substantial reductions of environmental assessments on aquatic systems.","publication_date":{"day":null,"month":null,"year":2014,"errors":{}},"publication_name":"Canadian Journal of Fisheries and Aquatic Sciences"},"translated_abstract":"The reduction of environmental legislation and regulation has become a common practice for governments looking to reduce government overhead while boosting private sector investment. Following this trend, in 2012 Canada enacted major legislative changes to its environmental policies. The Canadian Environmental Assessment Act (CEAA) was overhauled, and related Acts, including the (federal) Navigable Water Protection Act (NWPA), saw their regulatory processes reduced. 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Of the assessments reviewed, 58% were on water bodies that are no longer protected under the new\r\nNavigation Protection Act, suggesting that the combination of these changes and new Acts will result in substantial reductions of environmental assessments on aquatic systems.","owner":{"id":36687788,"first_name":"Adrienne","middle_initials":null,"last_name":"Davidson","page_name":"AdrienneDavidson","domain_name":"queensu","created_at":"2015-10-21T09:20:41.897-07:00","display_name":"Adrienne Davidson","url":"https://queensu.academia.edu/AdrienneDavidson"},"attachments":[],"research_interests":[{"id":173,"name":"Zoology","url":"https://www.academia.edu/Documents/in/Zoology"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":170652,"name":"Fisheries Sciences","url":"https://www.academia.edu/Documents/in/Fisheries_Sciences"}],"urls":[{"id":5963947,"url":"http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2014-0385"}]}, dispatcherData: dispatcherData }); $(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="3858506" id="papers"><div class="js-work-strip profile--work_container" data-work-id="67273317"><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/67273317/Seasonality_and_Life_History_Complexity_Determine_Vulnerability_of_Dungeness_Crab_to_Multiple_Climate_Stressors"><img alt="Research paper thumbnail of Seasonality and Life History Complexity Determine Vulnerability of Dungeness Crab to Multiple Climate Stressors" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273317/Seasonality_and_Life_History_Complexity_Determine_Vulnerability_of_Dungeness_Crab_to_Multiple_Climate_Stressors">Seasonality and Life History Complexity Determine Vulnerability of Dungeness Crab to Multiple Climate Stressors</a></div><div class="wp-workCard_item"><span>AGU Advances</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="67273317"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273317"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273317; 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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="67273313"><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/67273313/Research_priorities_for_the_management_of_freshwater_fish_habitat_in_Canada"><img alt="Research paper thumbnail of Research priorities for the management of freshwater fish habitat in Canada" class="work-thumbnail" src="https://attachments.academia-assets.com/78150909/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/67273313/Research_priorities_for_the_management_of_freshwater_fish_habitat_in_Canada">Research priorities for the management of freshwater fish habitat in Canada</a></div><div class="wp-workCard_item"><span>Canadian Journal of Fisheries and Aquatic Sciences</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Effective management of freshwater fish habitat is essential to supporting healthy aquatic ecosys...</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">Effective management of freshwater fish habitat is essential to supporting healthy aquatic ecosystems and sustainable fisheries. In Canada, recent changes to the Fisheries Act enhanced the protection of fish habitat, but application of those provisions relies on sound scientific evidence. We employed collaborative research prioritization methods to identify scientific research questions that, if addressed, would significantly advance the management of freshwater fish habitat in Canada. This list was generated by a diverse group of freshwater fish experts, including substantial contributions from practitioners who administer provisions of the Fisheries Act. The research questions generated in this study identify priority topics for future research, while highlighting issues that could be addressed with different funding models. As a result, this study should support evidence-based management of Canada’s aquatic resources by identifying scientific knowledge gaps faced by practitioners...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8e691de05721e5a2654c1f341ce8466f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150909,"asset_id":67273313,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150909/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273313"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273313"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273313; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273313]").text(description); $(".js-view-count[data-work-id=67273313]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273313; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273313']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273313, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8e691de05721e5a2654c1f341ce8466f" } } $('.js-work-strip[data-work-id=67273313]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273313,"title":"Research priorities for the management of freshwater fish habitat in Canada","translated_title":"","metadata":{"abstract":"Effective management of freshwater fish habitat is essential to supporting healthy aquatic ecosystems and sustainable fisheries. 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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="67273304"><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/67273304/Disrupted_ecosystem_and_human_phenology_at_the_climate_frontline_in_Gwichin_First_Nation_territory"><img alt="Research paper thumbnail of Disrupted ecosystem and human phenology at the climate frontline in Gwich'in First Nation territory" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273304/Disrupted_ecosystem_and_human_phenology_at_the_climate_frontline_in_Gwichin_First_Nation_territory">Disrupted ecosystem and human phenology at the climate frontline in Gwich'in First Nation territory</a></div><div class="wp-workCard_item"><span>Conservation Biology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Article impact statement: Indigenous land users&#39; experiences of global ecological change can ...</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">Article impact statement: Indigenous land users&#39; experiences of global ecological change can help researchers understand variable climate impacts and adaptations. This article is protected by copyright. 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Robust monitoring is essential to adaptation and management in light of these challenges, and community-based monitoring (CBM) projects can enhance these efforts by highlighting traditional knowledge, ensuring that questions are locally important, and informing natural resource conservation and management. Implementation of CBM projects can vary widely depending on project goals, the communities, and the partners involved, and we feel there is value in sharing CBM project examples in different contexts. Here, we describe two projects in the Gwich’in Settlement Area (GSA), Canada, and highlight the process in which local management agencies set monitoring and research priorities. Dzan (muskrat; Ondatra zibethicus (Linnaeus, 1766)) and łuk dagaii (broad whitefish; Coregonus nasus (Pallas, 1776)) are species of great cultural importance and are the focus of CBM projec...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="68e71cde16a6cc21a13a7f21cf8f0fee" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150867,"asset_id":67273300,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150867/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273300"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273300"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273300; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273300]").text(description); $(".js-view-count[data-work-id=67273300]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273300; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273300']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273300, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "68e71cde16a6cc21a13a7f21cf8f0fee" } } $('.js-work-strip[data-work-id=67273300]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273300,"title":"The importance of continuous dialogue in community-based wildlife monitoring: case studies of dzan and łuk dagaii in the Gwich’in Settlement Area","translated_title":"","metadata":{"abstract":"Rapid environmental change in the Arctic elicits numerous concerns for ecosystems, natural resources, and ways of life. 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Dzan (muskrat; Ondatra zibethicus (Linnaeus, 1766)) and łuk dagaii (broad whitefish; Coregonus nasus (Pallas, 1776)) are species of great cultural importance and are the focus of CBM projec...","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[{"id":78150867,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150867/thumbnails/1.jpg","file_name":"as-2019-0012.pdf","download_url":"https://www.academia.edu/attachments/78150867/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_importance_of_continuous_dialogue_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150867/as-2019-0012-libre.pdf?1641411861=\u0026response-content-disposition=attachment%3B+filename%3DThe_importance_of_continuous_dialogue_in.pdf\u0026Expires=1735014749\u0026Signature=V2E1r9~blUF4iX2VLMgJ-BAgTLKLVYVZyifG9-u82RznLikQgxuvG8pIUpmKbtonBQUK2LGvzBYhmilUehOvyCJrsoeKg-llcilTyr-J59ZX1nFXEtPgH~n3qRHKFUu8ukXZdKbxzYI8k-4fvKwWGAdUlLhDX1SoYjKl048llyDtj~3LlpBgbLdAKIoVA3niM-t0~-Mc3rmIPDFYhJ5jbhpdlMaQbJxVAAvgW9XVFYJci1Dt9Bakpa-30KunZBWV-jjbdzIJZAyBPXwKye-65um9FG3ST8-nek1KmWtNK0WIRWVhq-JhaK8hsHPWbcbxwLKr6DqILjnkgadmGPj3RQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":376164,"name":"Arctic Science","url":"https://www.academia.edu/Documents/in/Arctic_Science"}],"urls":[{"id":16125124,"url":"http://www.nrcresearchpress.com/doi/full-xml/10.1139/as-2019-0012"}]}, 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="67273297"><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/67273297/Changing_estuaries_and_impacts_on_juvenile_salmon_A_systematic_review"><img alt="Research paper thumbnail of Changing estuaries and impacts on juvenile salmon: A systematic review" class="work-thumbnail" src="https://attachments.academia-assets.com/78150866/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/67273297/Changing_estuaries_and_impacts_on_juvenile_salmon_A_systematic_review">Changing estuaries and impacts on juvenile salmon: A systematic review</a></div><div class="wp-workCard_item"><span>Global Change Biology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Estuaries are productive ecosystems providing important habitat for a diversity of species, yet t...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Estuaries are productive ecosystems providing important habitat for a diversity of species, yet they also experience intense levels of anthropogenic development. To inform decision-making, it is essential to understand the pathways of impacts of particular human activities, especially those that affect species such as salmon, which have high ecological, social-cultural and economic values. Salmon systems provide an opportunity to build from the substantial body of research on responses to estuary developments and take stock of what is known. We conducted a systematic English-language literature review on the responses of juvenile salmon to anthropogenic activities in estuaries and nearshore areas asking: what has been studied, where are the major knowledge gaps and how do stressors affect salmon? We found a substantial body of research (n = 167 studies; 1,369 comparative tests) to help understand responses of juvenile salmon to 24 activities and their 14 stressors. Across studies, 82% of the research was conducted in the eastern Pacific (Oregon and Washington, USA and British Columbia, Canada) showing a limited geographical scope. Using a semiquantitative approach to summarize the literature, including a weight-of-evidence metric, we found a range of results from low to moderate-high confidence in the consequences of the stressors. For example, we found moderate-high confidence in the negative impacts of pollutants and sea lice and moderate confidence in negative impacts from connectivity loss and changes in flow. Our results suggest that overall, multiple anthropogenic activities cause negative impacts across ecological scales. However, our results also reveal knowledge gaps resulting from minimal research on particular species (e.g. sockeye salmon), regions (e.g. Atlantic) or stressors (e.g. entrainment) that would be expedient areas for future research. With estuaries acting as a nexus of biological and societal importance and hotspots of ongoing development, the insights gained here can contribute to informed decision-making.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c2525ba2a6ac960e1141e7c0004632bf" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150866,"asset_id":67273297,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150866/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273297"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273297"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273297; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273297]").text(description); $(".js-view-count[data-work-id=67273297]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273297; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273297']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273297, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c2525ba2a6ac960e1141e7c0004632bf" } } $('.js-work-strip[data-work-id=67273297]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273297,"title":"Changing estuaries and impacts on juvenile salmon: A systematic review","translated_title":"","metadata":{"publisher":"Wiley","grobid_abstract":"Estuaries are productive ecosystems providing important habitat for a diversity of species, yet they also experience intense levels of anthropogenic development. 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Using a semiquantitative approach to summarize the literature, including a weight-of-evidence metric, we found a range of results from low to moderate-high confidence in the consequences of the stressors. For example, we found moderate-high confidence in the negative impacts of pollutants and sea lice and moderate confidence in negative impacts from connectivity loss and changes in flow. Our results suggest that overall, multiple anthropogenic activities cause negative impacts across ecological scales. However, our results also reveal knowledge gaps resulting from minimal research on particular species (e.g. sockeye salmon), regions (e.g. Atlantic) or stressors (e.g. entrainment) that would be expedient areas for future research. 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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="67273286"><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/67273286/Consequences_of_spatially_variable_ocean_acidification_in_the_California_Current_Lower_pH_drives_strongest_declines_in_benthic_species_in_southern_regions_while_greatest_economic_impacts_occur_in_northern_regions"><img alt="Research paper thumbnail of Consequences of spatially variable ocean acidification in the California Current: Lower pH drives strongest declines in benthic species in southern regions while greatest economic impacts occur in northern regions" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273286/Consequences_of_spatially_variable_ocean_acidification_in_the_California_Current_Lower_pH_drives_strongest_declines_in_benthic_species_in_southern_regions_while_greatest_economic_impacts_occur_in_northern_regions">Consequences of spatially variable ocean acidification in the California Current: Lower pH drives strongest declines in benthic species in southern regions while greatest economic impacts occur in northern regions</a></div><div class="wp-workCard_item"><span>Ecological Modelling</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Marine ecosystems are experiencing rapid changes driven by anthropogenic stressors which, in turn...</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">Marine ecosystems are experiencing rapid changes driven by anthropogenic stressors which, in turn, are affecting human communities. One such stressor is ocean acidification, a result of increasing carbon emissions. Most research on biological impacts of ocean acidification has focused on the responses of an individual species or life stage. Yet, understanding how changes scale from species to ecosystems, and the services they provide, is critical to managing fisheries and setting research priorities. Here we use an ecosystem model, which is forced by oceanographic projections and also coupled to an economic input-output model, to quantify biological responses to ocean acidification in six coastal regions from Vancouver Island, Canada to Baja California, Mexico and economic responses at 17 ports on the US west coast. This model is intended to explore one possible future of how ocean acidification may influence this coastline. Outputs show that declines in species biomass tend to be larger in the southern region of the model, but the largest economic impacts on revenue, income and employment occur from northern California to northern Washington State. The economic consequences are primarily driven by declines in Dungeness crab from loss of prey. Given the substantive revenue generated by the fishing industry on the west coast, the model suggests that long-term planning for communities, researchers and managers in the northern region of the California Current would benefit from tracking Dungeness crab productivity and potential declines related to pH.</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="67273286"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273286"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273286; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273286]").text(description); $(".js-view-count[data-work-id=67273286]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273286; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273286']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273286, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273286]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273286,"title":"Consequences of spatially variable ocean acidification in the California Current: Lower pH drives strongest declines in benthic species in southern regions while greatest economic impacts occur in northern regions","translated_title":"","metadata":{"abstract":"Marine ecosystems are experiencing rapid changes driven by anthropogenic stressors which, in turn, are affecting human communities. One such stressor is ocean acidification, a result of increasing carbon emissions. Most research on biological impacts of ocean acidification has focused on the responses of an individual species or life stage. Yet, understanding how changes scale from species to ecosystems, and the services they provide, is critical to managing fisheries and setting research priorities. Here we use an ecosystem model, which is forced by oceanographic projections and also coupled to an economic input-output model, to quantify biological responses to ocean acidification in six coastal regions from Vancouver Island, Canada to Baja California, Mexico and economic responses at 17 ports on the US west coast. This model is intended to explore one possible future of how ocean acidification may influence this coastline. Outputs show that declines in species biomass tend to be larger in the southern region of the model, but the largest economic impacts on revenue, income and employment occur from northern California to northern Washington State. The economic consequences are primarily driven by declines in Dungeness crab from loss of prey. Given the substantive revenue generated by the fishing industry on the west coast, the model suggests that long-term planning for communities, researchers and managers in the northern region of the California Current would benefit from tracking Dungeness crab productivity and potential declines related to pH.","publisher":"Elsevier BV","publication_name":"Ecological Modelling"},"translated_abstract":"Marine ecosystems are experiencing rapid changes driven by anthropogenic stressors which, in turn, are affecting human communities. One such stressor is ocean acidification, a result of increasing carbon emissions. Most research on biological impacts of ocean acidification has focused on the responses of an individual species or life stage. Yet, understanding how changes scale from species to ecosystems, and the services they provide, is critical to managing fisheries and setting research priorities. Here we use an ecosystem model, which is forced by oceanographic projections and also coupled to an economic input-output model, to quantify biological responses to ocean acidification in six coastal regions from Vancouver Island, Canada to Baja California, Mexico and economic responses at 17 ports on the US west coast. This model is intended to explore one possible future of how ocean acidification may influence this coastline. Outputs show that declines in species biomass tend to be larger in the southern region of the model, but the largest economic impacts on revenue, income and employment occur from northern California to northern Washington State. The economic consequences are primarily driven by declines in Dungeness crab from loss of prey. Given the substantive revenue generated by the fishing industry on the west coast, the model suggests that long-term planning for communities, researchers and managers in the northern region of the California Current would benefit from tracking Dungeness crab productivity and potential declines related to pH.","internal_url":"https://www.academia.edu/67273286/Consequences_of_spatially_variable_ocean_acidification_in_the_California_Current_Lower_pH_drives_strongest_declines_in_benthic_species_in_southern_regions_while_greatest_economic_impacts_occur_in_northern_regions","translated_internal_url":"","created_at":"2022-01-05T11:39:03.309-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Consequences_of_spatially_variable_ocean_acidification_in_the_California_Current_Lower_pH_drives_strongest_declines_in_benthic_species_in_southern_regions_while_greatest_economic_impacts_occur_in_northern_regions","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Marine ecosystems are experiencing rapid changes driven by anthropogenic stressors which, in turn, are affecting human communities. One such stressor is ocean acidification, a result of increasing carbon emissions. Most research on biological impacts of ocean acidification has focused on the responses of an individual species or life stage. Yet, understanding how changes scale from species to ecosystems, and the services they provide, is critical to managing fisheries and setting research priorities. Here we use an ecosystem model, which is forced by oceanographic projections and also coupled to an economic input-output model, to quantify biological responses to ocean acidification in six coastal regions from Vancouver Island, Canada to Baja California, Mexico and economic responses at 17 ports on the US west coast. This model is intended to explore one possible future of how ocean acidification may influence this coastline. Outputs show that declines in species biomass tend to be larger in the southern region of the model, but the largest economic impacts on revenue, income and employment occur from northern California to northern Washington State. The economic consequences are primarily driven by declines in Dungeness crab from loss of prey. Given the substantive revenue generated by the fishing industry on the west coast, the model suggests that long-term planning for communities, researchers and managers in the northern region of the California Current would benefit from tracking Dungeness crab productivity and potential declines related to pH.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":28697,"name":"Ecological Modelling","url":"https://www.academia.edu/Documents/in/Ecological_Modelling"}],"urls":[{"id":16125117,"url":"https://api.elsevier.com/content/article/PII:S0304380018301856?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67273282"><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/67273282/Moving_Beyond_Silos_in_Cumulative_Effects_Assessment"><img alt="Research paper thumbnail of Moving Beyond Silos in Cumulative Effects Assessment" class="work-thumbnail" src="https://attachments.academia-assets.com/78150858/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/67273282/Moving_Beyond_Silos_in_Cumulative_Effects_Assessment">Moving Beyond Silos in Cumulative Effects Assessment</a></div><div class="wp-workCard_item"><span>Frontiers in Ecology and Evolution</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Many of the world's ecosystems are experiencing a suite of changes from anthropogenic activities;...</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">Many of the world's ecosystems are experiencing a suite of changes from anthropogenic activities; the multiple stressors from those activities result in cumulative impacts. Understanding how these activities translate into ecological consequences is exceedingly challenging because of the inherent complexity within natural systems and the variability in how stressors act and how species respond. While there have been substantial advancements within the field of cumulative effects assessment to address these issues and improve our understanding of the consequences of our actions, many challenges remain. Here, we detail advances and remaining challenges, and propose five priorities for addressing these challenges in the near future. In particular, we suggest prioritizing risk-based approaches that account for uncertainty in our understanding and establishing an underlying theory for when we expect particular impacts to occur. We also propose the need for a defined subdiscipline focused on cumulative effects, to help reduce the silos of research that are often disconnected, and to work toward a common set of definitions, methods and the consistent use of open data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="fced2c911f7c0dfff37fc80d42059856" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150858,"asset_id":67273282,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150858/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273282"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273282"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273282; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273282]").text(description); $(".js-view-count[data-work-id=67273282]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273282; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273282']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273282, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "fced2c911f7c0dfff37fc80d42059856" } } $('.js-work-strip[data-work-id=67273282]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273282,"title":"Moving Beyond Silos in Cumulative Effects Assessment","translated_title":"","metadata":{"publisher":"Frontiers Media SA","ai_title_tag":"Integrating Approaches in Cumulative Effects Assessment","grobid_abstract":"Many of the world's ecosystems are experiencing a suite of changes from anthropogenic activities; the multiple stressors from those activities result in cumulative impacts. Understanding how these activities translate into ecological consequences is exceedingly challenging because of the inherent complexity within natural systems and the variability in how stressors act and how species respond. While there have been substantial advancements within the field of cumulative effects assessment to address these issues and improve our understanding of the consequences of our actions, many challenges remain. Here, we detail advances and remaining challenges, and propose five priorities for addressing these challenges in the near future. In particular, we suggest prioritizing risk-based approaches that account for uncertainty in our understanding and establishing an underlying theory for when we expect particular impacts to occur. We also propose the need for a defined subdiscipline focused on cumulative effects, to help reduce the silos of research that are often disconnected, and to work toward a common set of definitions, methods and the consistent use of open data.","publication_name":"Frontiers in Ecology and Evolution","grobid_abstract_attachment_id":78150858},"translated_abstract":null,"internal_url":"https://www.academia.edu/67273282/Moving_Beyond_Silos_in_Cumulative_Effects_Assessment","translated_internal_url":"","created_at":"2022-01-05T11:39:00.585-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":78150858,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150858/thumbnails/1.jpg","file_name":"7f6b329616641414fb1b92b50dd9c48d8566.pdf","download_url":"https://www.academia.edu/attachments/78150858/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Moving_Beyond_Silos_in_Cumulative_Effect.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150858/7f6b329616641414fb1b92b50dd9c48d8566-libre.pdf?1641411862=\u0026response-content-disposition=attachment%3B+filename%3DMoving_Beyond_Silos_in_Cumulative_Effect.pdf\u0026Expires=1735014749\u0026Signature=KD8iLhHXZHzODIPMz2B6RYqbsNQM1dQfcUcU1XwataQI0uJ3P1iiP7bxTvH6D6yaU219zBUI98wR7rDPZC4KX4FqxNIODdxM226bX6vL3jqjz8woglw1FiBbh3SPNzg2cACbHqZOiWdm1D8lasjgDruskW6iRMbUww4gbpSuihTixOSzm4z~-zSZ0UEGdn-P028h20gcAy3f5eUNiwGQQmJt6S0-T9qvS-pDzL0iKm-sVBW3hS8WOgNMejOOsFRfYW45cFF0zHHIranFkWj4CBMS5pgnMwp2fMpWIzpi9qHdDrNyWOOniXwzBcqt~OfpqedUorOtU~-qEECIZTpAMA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Moving_Beyond_Silos_in_Cumulative_Effects_Assessment","translated_slug":"","page_count":8,"language":"en","content_type":"Work","summary":"Many of the world's ecosystems are experiencing a suite of changes from anthropogenic activities; the multiple stressors from those activities result in cumulative impacts. Understanding how these activities translate into ecological consequences is exceedingly challenging because of the inherent complexity within natural systems and the variability in how stressors act and how species respond. While there have been substantial advancements within the field of cumulative effects assessment to address these issues and improve our understanding of the consequences of our actions, many challenges remain. Here, we detail advances and remaining challenges, and propose five priorities for addressing these challenges in the near future. In particular, we suggest prioritizing risk-based approaches that account for uncertainty in our understanding and establishing an underlying theory for when we expect particular impacts to occur. We also propose the need for a defined subdiscipline focused on cumulative effects, to help reduce the silos of research that are often disconnected, and to work toward a common set of definitions, methods and the consistent use of open data.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[{"id":78150858,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150858/thumbnails/1.jpg","file_name":"7f6b329616641414fb1b92b50dd9c48d8566.pdf","download_url":"https://www.academia.edu/attachments/78150858/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Moving_Beyond_Silos_in_Cumulative_Effect.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150858/7f6b329616641414fb1b92b50dd9c48d8566-libre.pdf?1641411862=\u0026response-content-disposition=attachment%3B+filename%3DMoving_Beyond_Silos_in_Cumulative_Effect.pdf\u0026Expires=1735014749\u0026Signature=KD8iLhHXZHzODIPMz2B6RYqbsNQM1dQfcUcU1XwataQI0uJ3P1iiP7bxTvH6D6yaU219zBUI98wR7rDPZC4KX4FqxNIODdxM226bX6vL3jqjz8woglw1FiBbh3SPNzg2cACbHqZOiWdm1D8lasjgDruskW6iRMbUww4gbpSuihTixOSzm4z~-zSZ0UEGdn-P028h20gcAy3f5eUNiwGQQmJt6S0-T9qvS-pDzL0iKm-sVBW3hS8WOgNMejOOsFRfYW45cFF0zHHIranFkWj4CBMS5pgnMwp2fMpWIzpi9qHdDrNyWOOniXwzBcqt~OfpqedUorOtU~-qEECIZTpAMA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"}],"urls":[{"id":16125115,"url":"https://www.frontiersin.org/article/10.3389/fevo.2019.00211/full"}]}, 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="67273277"><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/67273277/Density_dependence_governs_when_population_responses_to_multiple_stressors_are_magnified_or_mitigated"><img alt="Research paper thumbnail of Density dependence governs when population responses to multiple stressors are magnified or mitigated" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273277/Density_dependence_governs_when_population_responses_to_multiple_stressors_are_magnified_or_mitigated">Density dependence governs when population responses to multiple stressors are magnified or mitigated</a></div><div class="wp-workCard_item"><span>Ecology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Population endangerment typically arises from multiple, potentially interacting anthropogenic str...</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">Population endangerment typically arises from multiple, potentially interacting anthropogenic stressors. Extensive research has investigated the consequences of multiple stressors on organisms, frequently focusing on individual life stages. Less is known about population-level consequences of exposure to multiple stressors, especially when exposure varies through life. We provide the first theoretical basis for identifying species at risk of magnified effects from multiple stressors across life history. By applying a population modeling framework, we reveal conditions under which population responses from stressors applied to distinct life stages are either magnified (synergistic) or mitigated. We find that magnification or mitigation critically depends on the shape of density dependence, but not the life stage in which it occurs. Stressors are always magnified when density dependence is linear or concave, and magnified or mitigated when it is convex. Using Bayesian numerical methods, we estimated the shape of density dependence for eight species across diverse taxa, finding support for all three shapes.</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="67273277"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273277"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273277; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273277]").text(description); $(".js-view-count[data-work-id=67273277]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273277; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273277']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273277, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273277]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273277,"title":"Density dependence governs when population responses to multiple stressors are magnified or mitigated","translated_title":"","metadata":{"abstract":"Population endangerment typically arises from multiple, potentially interacting anthropogenic stressors. Extensive research has investigated the consequences of multiple stressors on organisms, frequently focusing on individual life stages. Less is known about population-level consequences of exposure to multiple stressors, especially when exposure varies through life. We provide the first theoretical basis for identifying species at risk of magnified effects from multiple stressors across life history. By applying a population modeling framework, we reveal conditions under which population responses from stressors applied to distinct life stages are either magnified (synergistic) or mitigated. We find that magnification or mitigation critically depends on the shape of density dependence, but not the life stage in which it occurs. Stressors are always magnified when density dependence is linear or concave, and magnified or mitigated when it is convex. Using Bayesian numerical methods, we estimated the shape of density dependence for eight species across diverse taxa, finding support for all three shapes.","publisher":"Wiley","publication_name":"Ecology"},"translated_abstract":"Population endangerment typically arises from multiple, potentially interacting anthropogenic stressors. Extensive research has investigated the consequences of multiple stressors on organisms, frequently focusing on individual life stages. Less is known about population-level consequences of exposure to multiple stressors, especially when exposure varies through life. We provide the first theoretical basis for identifying species at risk of magnified effects from multiple stressors across life history. By applying a population modeling framework, we reveal conditions under which population responses from stressors applied to distinct life stages are either magnified (synergistic) or mitigated. We find that magnification or mitigation critically depends on the shape of density dependence, but not the life stage in which it occurs. Stressors are always magnified when density dependence is linear or concave, and magnified or mitigated when it is convex. Using Bayesian numerical methods, we estimated the shape of density dependence for eight species across diverse taxa, finding support for all three shapes.","internal_url":"https://www.academia.edu/67273277/Density_dependence_governs_when_population_responses_to_multiple_stressors_are_magnified_or_mitigated","translated_internal_url":"","created_at":"2022-01-05T11:38:57.819-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Density_dependence_governs_when_population_responses_to_multiple_stressors_are_magnified_or_mitigated","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Population endangerment typically arises from multiple, potentially interacting anthropogenic stressors. Extensive research has investigated the consequences of multiple stressors on organisms, frequently focusing on individual life stages. Less is known about population-level consequences of exposure to multiple stressors, especially when exposure varies through life. We provide the first theoretical basis for identifying species at risk of magnified effects from multiple stressors across life history. By applying a population modeling framework, we reveal conditions under which population responses from stressors applied to distinct life stages are either magnified (synergistic) or mitigated. We find that magnification or mitigation critically depends on the shape of density dependence, but not the life stage in which it occurs. Stressors are always magnified when density dependence is linear or concave, and magnified or mitigated when it is convex. Using Bayesian numerical methods, we estimated the shape of density dependence for eight species across diverse taxa, finding support for all three shapes.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":843856,"name":"Ecological Applications","url":"https://www.academia.edu/Documents/in/Ecological_Applications"}],"urls":[{"id":16125112,"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fecy.1961"}]}, 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="67273269"><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/67273269/Investigating_cumulative_effects_across_ecological_scales"><img alt="Research paper thumbnail of Investigating cumulative effects across ecological scales" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273269/Investigating_cumulative_effects_across_ecological_scales">Investigating cumulative effects across ecological scales</a></div><div class="wp-workCard_item"><span>Conservation Biology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, f...</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">Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, fueling a rapidly expanding research program to understand the cumulative impacts of these environmental modifications. Since the 1970s, a growing set of methods has been developed through two parallel, sometimes connected, streams of research within the applied and academic realms to assess cumulative effects. Past reviews of cumulative effects assessment (CEA) methods focused on approaches used by practitioners. Academic research has developed several distinct and novel approaches to conducting CEA. Understanding the suite of methods that exist will help practitioners and academics better address various ecological foci (physiological responses, population impacts, ecosystem impacts) and ecological complexities (synergistic effects, impacts across space and time). We reviewed 6 categories of methods (experimental, meta-analysis, single-species modeling, mapping, qualitative modeling, and multispecies modeling) and examined the ability of those methods to address different levels of complexity. We focused on research gaps and emerging priorities. We found that no single method assessed impacts across the 4 ecological foci and 6 ecological complexities considered. We propose that methods can be used in combination to improve understanding such that multimodel inference can provide a suite of comparable outputs, mapping methods can help prioritize localized models or experimental gaps, and future experiments can be paired from the outset with models they will inform.</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="67273269"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273269"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273269; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273269]").text(description); $(".js-view-count[data-work-id=67273269]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273269; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273269']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273269, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273269]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273269,"title":"Investigating cumulative effects across ecological scales","translated_title":"","metadata":{"abstract":"Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, fueling a rapidly expanding research program to understand the cumulative impacts of these environmental modifications. Since the 1970s, a growing set of methods has been developed through two parallel, sometimes connected, streams of research within the applied and academic realms to assess cumulative effects. Past reviews of cumulative effects assessment (CEA) methods focused on approaches used by practitioners. Academic research has developed several distinct and novel approaches to conducting CEA. Understanding the suite of methods that exist will help practitioners and academics better address various ecological foci (physiological responses, population impacts, ecosystem impacts) and ecological complexities (synergistic effects, impacts across space and time). We reviewed 6 categories of methods (experimental, meta-analysis, single-species modeling, mapping, qualitative modeling, and multispecies modeling) and examined the ability of those methods to address different levels of complexity. We focused on research gaps and emerging priorities. We found that no single method assessed impacts across the 4 ecological foci and 6 ecological complexities considered. We propose that methods can be used in combination to improve understanding such that multimodel inference can provide a suite of comparable outputs, mapping methods can help prioritize localized models or experimental gaps, and future experiments can be paired from the outset with models they will inform.","publisher":"Wiley","publication_name":"Conservation Biology"},"translated_abstract":"Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, fueling a rapidly expanding research program to understand the cumulative impacts of these environmental modifications. Since the 1970s, a growing set of methods has been developed through two parallel, sometimes connected, streams of research within the applied and academic realms to assess cumulative effects. Past reviews of cumulative effects assessment (CEA) methods focused on approaches used by practitioners. Academic research has developed several distinct and novel approaches to conducting CEA. Understanding the suite of methods that exist will help practitioners and academics better address various ecological foci (physiological responses, population impacts, ecosystem impacts) and ecological complexities (synergistic effects, impacts across space and time). We reviewed 6 categories of methods (experimental, meta-analysis, single-species modeling, mapping, qualitative modeling, and multispecies modeling) and examined the ability of those methods to address different levels of complexity. We focused on research gaps and emerging priorities. We found that no single method assessed impacts across the 4 ecological foci and 6 ecological complexities considered. We propose that methods can be used in combination to improve understanding such that multimodel inference can provide a suite of comparable outputs, mapping methods can help prioritize localized models or experimental gaps, and future experiments can be paired from the outset with models they will inform.","internal_url":"https://www.academia.edu/67273269/Investigating_cumulative_effects_across_ecological_scales","translated_internal_url":"","created_at":"2022-01-05T11:38:54.804-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Investigating_cumulative_effects_across_ecological_scales","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, fueling a rapidly expanding research program to understand the cumulative impacts of these environmental modifications. Since the 1970s, a growing set of methods has been developed through two parallel, sometimes connected, streams of research within the applied and academic realms to assess cumulative effects. Past reviews of cumulative effects assessment (CEA) methods focused on approaches used by practitioners. Academic research has developed several distinct and novel approaches to conducting CEA. Understanding the suite of methods that exist will help practitioners and academics better address various ecological foci (physiological responses, population impacts, ecosystem impacts) and ecological complexities (synergistic effects, impacts across space and time). We reviewed 6 categories of methods (experimental, meta-analysis, single-species modeling, mapping, qualitative modeling, and multispecies modeling) and examined the ability of those methods to address different levels of complexity. We focused on research gaps and emerging priorities. We found that no single method assessed impacts across the 4 ecological foci and 6 ecological complexities considered. We propose that methods can be used in combination to improve understanding such that multimodel inference can provide a suite of comparable outputs, mapping methods can help prioritize localized models or experimental gaps, and future experiments can be paired from the outset with models they will inform.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"}],"urls":[{"id":16125108,"url":"https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fcobi.13125"}]}, 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="67273262"><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/67273262/Modeling_food_web_effects_of_low_sardine_and_anchovy_abundance_in_the_California_Current"><img alt="Research paper thumbnail of Modeling food web effects of low sardine and anchovy abundance in the California Current" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273262/Modeling_food_web_effects_of_low_sardine_and_anchovy_abundance_in_the_California_Current">Modeling food web effects of low sardine and anchovy abundance in the California Current</a></div><div class="wp-workCard_item"><span>Ecological Modelling</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Populations of sardine, anchovy, and other forage species can fluctuate to low levels due to clim...</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">Populations of sardine, anchovy, and other forage species can fluctuate to low levels due to climate variability and fishing, leading to indirect effects on marine food webs. In the context of recent declines of sardine (Sardinops sagax) and anchovy (Engraulis mordax) in the California Current, we apply an end-to-end Atlantis ecosystem model that is spatially explicit, includes trophic interactions, and allows high and low recruitment regimes (production of juveniles). Our simulations suggest that depleted sardine populations, whether caused by fishing or natural cycles, may lead to declines in predator groups such as dolphins and large piscivorous flatfish (e.g. California halibut Paralichthys californicus). Birds exhibited more moderate declines, and California sea lions (Zalophus californianus) exhibited relatively weak declines. The Atlantis ecosystem model also predicted indirect positive effects of sardine depletion, primarily for prey species such as zooplankton. Overall our model predicted moderate declines in most predators during simulated severe declines in sardine and anchovy, illustrating the important buffering role provided by forage species other than sardine and anchovy. This ‘buffered response’ is weaker than what would be suggested by another ecosystem model (Ecosim), as predicted by diet information and a global synthesis of Ecosim models (the PREP equation). One limitation of the Atlantis model is that it did not include processes that might give rise to localized depletion of sardine at scales relevant to central place foragers, such as birds and pinnipeds. This analysis will contribute to a collaborative multi-model approach that evaluates the role of sardine in the California Current.</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="67273262"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273262"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273262; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273262]").text(description); $(".js-view-count[data-work-id=67273262]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273262; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273262']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273262, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273262]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273262,"title":"Modeling food web effects of low sardine and anchovy abundance in the California Current","translated_title":"","metadata":{"abstract":"Populations of sardine, anchovy, and other forage species can fluctuate to low levels due to climate variability and fishing, leading to indirect effects on marine food webs. In the context of recent declines of sardine (Sardinops sagax) and anchovy (Engraulis mordax) in the California Current, we apply an end-to-end Atlantis ecosystem model that is spatially explicit, includes trophic interactions, and allows high and low recruitment regimes (production of juveniles). Our simulations suggest that depleted sardine populations, whether caused by fishing or natural cycles, may lead to declines in predator groups such as dolphins and large piscivorous flatfish (e.g. California halibut Paralichthys californicus). Birds exhibited more moderate declines, and California sea lions (Zalophus californianus) exhibited relatively weak declines. The Atlantis ecosystem model also predicted indirect positive effects of sardine depletion, primarily for prey species such as zooplankton. Overall our model predicted moderate declines in most predators during simulated severe declines in sardine and anchovy, illustrating the important buffering role provided by forage species other than sardine and anchovy. This ‘buffered response’ is weaker than what would be suggested by another ecosystem model (Ecosim), as predicted by diet information and a global synthesis of Ecosim models (the PREP equation). One limitation of the Atlantis model is that it did not include processes that might give rise to localized depletion of sardine at scales relevant to central place foragers, such as birds and pinnipeds. This analysis will contribute to a collaborative multi-model approach that evaluates the role of sardine in the California Current.","publisher":"Elsevier BV","publication_name":"Ecological Modelling"},"translated_abstract":"Populations of sardine, anchovy, and other forage species can fluctuate to low levels due to climate variability and fishing, leading to indirect effects on marine food webs. In the context of recent declines of sardine (Sardinops sagax) and anchovy (Engraulis mordax) in the California Current, we apply an end-to-end Atlantis ecosystem model that is spatially explicit, includes trophic interactions, and allows high and low recruitment regimes (production of juveniles). Our simulations suggest that depleted sardine populations, whether caused by fishing or natural cycles, may lead to declines in predator groups such as dolphins and large piscivorous flatfish (e.g. California halibut Paralichthys californicus). Birds exhibited more moderate declines, and California sea lions (Zalophus californianus) exhibited relatively weak declines. The Atlantis ecosystem model also predicted indirect positive effects of sardine depletion, primarily for prey species such as zooplankton. Overall our model predicted moderate declines in most predators during simulated severe declines in sardine and anchovy, illustrating the important buffering role provided by forage species other than sardine and anchovy. This ‘buffered response’ is weaker than what would be suggested by another ecosystem model (Ecosim), as predicted by diet information and a global synthesis of Ecosim models (the PREP equation). One limitation of the Atlantis model is that it did not include processes that might give rise to localized depletion of sardine at scales relevant to central place foragers, such as birds and pinnipeds. This analysis will contribute to a collaborative multi-model approach that evaluates the role of sardine in the California Current.","internal_url":"https://www.academia.edu/67273262/Modeling_food_web_effects_of_low_sardine_and_anchovy_abundance_in_the_California_Current","translated_internal_url":"","created_at":"2022-01-05T11:38:51.577-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Modeling_food_web_effects_of_low_sardine_and_anchovy_abundance_in_the_California_Current","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Populations of sardine, anchovy, and other forage species can fluctuate to low levels due to climate variability and fishing, leading to indirect effects on marine food webs. In the context of recent declines of sardine (Sardinops sagax) and anchovy (Engraulis mordax) in the California Current, we apply an end-to-end Atlantis ecosystem model that is spatially explicit, includes trophic interactions, and allows high and low recruitment regimes (production of juveniles). Our simulations suggest that depleted sardine populations, whether caused by fishing or natural cycles, may lead to declines in predator groups such as dolphins and large piscivorous flatfish (e.g. California halibut Paralichthys californicus). Birds exhibited more moderate declines, and California sea lions (Zalophus californianus) exhibited relatively weak declines. The Atlantis ecosystem model also predicted indirect positive effects of sardine depletion, primarily for prey species such as zooplankton. Overall our model predicted moderate declines in most predators during simulated severe declines in sardine and anchovy, illustrating the important buffering role provided by forage species other than sardine and anchovy. This ‘buffered response’ is weaker than what would be suggested by another ecosystem model (Ecosim), as predicted by diet information and a global synthesis of Ecosim models (the PREP equation). One limitation of the Atlantis model is that it did not include processes that might give rise to localized depletion of sardine at scales relevant to central place foragers, such as birds and pinnipeds. This analysis will contribute to a collaborative multi-model approach that evaluates the role of sardine in the California Current.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":28697,"name":"Ecological Modelling","url":"https://www.academia.edu/Documents/in/Ecological_Modelling"}],"urls":[{"id":16125107,"url":"http://api.elsevier.com/content/article/PII:S0304380016308262?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67273254"><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/67273254/The_need_for_validation_of_ecological_indices"><img alt="Research paper thumbnail of The need for validation of ecological indices" class="work-thumbnail" src="https://attachments.academia-assets.com/78150853/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/67273254/The_need_for_validation_of_ecological_indices">The need for validation of ecological indices</a></div><div class="wp-workCard_item"><span>Ecological Indicators</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Increased recognition of the need for ecosystem-based management has resulted in a growing body o...</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">Increased recognition of the need for ecosystem-based management has resulted in a growing body of research on the use of indicators to represent and track ecosystem status, particularly in marine environments. While multiple frameworks have been developed for selecting and evaluating indicators, certain types of indicators require additional consideration and validation. In particular, an index, which we define as an aggregation of two or more indicators, may have unique properties and behaviors that can make interpretation difficult, particularly in a management context. We assert that more rigorous validation and testing is required for indices, particularly those used to inform management decisions. To support this point we demonstrate the need for validation and then explore current development and validation processes for ecosystem indices. We also compare how other disciplines (e.g., medicine, economics) validate indices. Validating indices (and indicators) is particularly challenging because they are often developed without an explicit objective in mind. We suggest that exploring the sensitivity of an index to the assumptions made during its development be a prerequisite to employing such an index.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8befcb20146cf485e5858a8290436b29" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150853,"asset_id":67273254,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150853/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273254"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273254"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273254; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273254]").text(description); $(".js-view-count[data-work-id=67273254]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273254; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273254']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273254, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "8befcb20146cf485e5858a8290436b29" } } $('.js-work-strip[data-work-id=67273254]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273254,"title":"The need for validation of ecological indices","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Increased recognition of the need for ecosystem-based management has resulted in a growing body of research on the use of indicators to represent and track ecosystem status, particularly in marine environments. While multiple frameworks have been developed for selecting and evaluating indicators, certain types of indicators require additional consideration and validation. In particular, an index, which we define as an aggregation of two or more indicators, may have unique properties and behaviors that can make interpretation difficult, particularly in a management context. We assert that more rigorous validation and testing is required for indices, particularly those used to inform management decisions. To support this point we demonstrate the need for validation and then explore current development and validation processes for ecosystem indices. We also compare how other disciplines (e.g., medicine, economics) validate indices. Validating indices (and indicators) is particularly challenging because they are often developed without an explicit objective in mind. We suggest that exploring the sensitivity of an index to the assumptions made during its development be a prerequisite to employing such an index.","publication_name":"Ecological Indicators","grobid_abstract_attachment_id":78150853},"translated_abstract":null,"internal_url":"https://www.academia.edu/67273254/The_need_for_validation_of_ecological_indices","translated_internal_url":"","created_at":"2022-01-05T11:38:48.231-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":78150853,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150853/thumbnails/1.jpg","file_name":"91357.pdf","download_url":"https://www.academia.edu/attachments/78150853/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_need_for_validation_of_ecological_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150853/91357-libre.pdf?1641411861=\u0026response-content-disposition=attachment%3B+filename%3DThe_need_for_validation_of_ecological_in.pdf\u0026Expires=1735014749\u0026Signature=E9OXOxSJxzQwbnx6YZPTulgtCVsBwBAw-PVZKVNhFNtzqYhe5nItzRrh42sx0VyoZGOpq1~VYle3dSKMhmWsRashgpSNTSmJZzNg5hmmUqJQ3UUqk4i1dTwUqIQG54f2ffk3PlFBd2rYkSI93CITcEqrmmFZLyjEoKBeZP18bbgAdDFuizrJr5nZQaSDguVO7yOAw7p1B4bwUjVWJhGgZTMY7x9bT5KCdZ-BEIgDYCtQpRP9YC--S09M-EvCsGlJ9LMeike272kZi3zz9J4d4FkR6mKuIfacIRlOAWJEf3oalT0L3QxZ6VB2-8zymishrFPMKAh-tmNFFPYayaxrPQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_need_for_validation_of_ecological_indices","translated_slug":"","page_count":3,"language":"en","content_type":"Work","summary":"Increased recognition of the need for ecosystem-based management has resulted in a growing body of research on the use of indicators to represent and track ecosystem status, particularly in marine environments. While multiple frameworks have been developed for selecting and evaluating indicators, certain types of indicators require additional consideration and validation. In particular, an index, which we define as an aggregation of two or more indicators, may have unique properties and behaviors that can make interpretation difficult, particularly in a management context. We assert that more rigorous validation and testing is required for indices, particularly those used to inform management decisions. To support this point we demonstrate the need for validation and then explore current development and validation processes for ecosystem indices. We also compare how other disciplines (e.g., medicine, economics) validate indices. Validating indices (and indicators) is particularly challenging because they are often developed without an explicit objective in mind. We suggest that exploring the sensitivity of an index to the assumptions made during its development be a prerequisite to employing such an index.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[{"id":78150853,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150853/thumbnails/1.jpg","file_name":"91357.pdf","download_url":"https://www.academia.edu/attachments/78150853/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_need_for_validation_of_ecological_in.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150853/91357-libre.pdf?1641411861=\u0026response-content-disposition=attachment%3B+filename%3DThe_need_for_validation_of_ecological_in.pdf\u0026Expires=1735014749\u0026Signature=E9OXOxSJxzQwbnx6YZPTulgtCVsBwBAw-PVZKVNhFNtzqYhe5nItzRrh42sx0VyoZGOpq1~VYle3dSKMhmWsRashgpSNTSmJZzNg5hmmUqJQ3UUqk4i1dTwUqIQG54f2ffk3PlFBd2rYkSI93CITcEqrmmFZLyjEoKBeZP18bbgAdDFuizrJr5nZQaSDguVO7yOAw7p1B4bwUjVWJhGgZTMY7x9bT5KCdZ-BEIgDYCtQpRP9YC--S09M-EvCsGlJ9LMeike272kZi3zz9J4d4FkR6mKuIfacIRlOAWJEf3oalT0L3QxZ6VB2-8zymishrFPMKAh-tmNFFPYayaxrPQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":138744,"name":"Ecological Indicators","url":"https://www.academia.edu/Documents/in/Ecological_Indicators"},{"id":260118,"name":"CHEMICAL SCIENCES","url":"https://www.academia.edu/Documents/in/CHEMICAL_SCIENCES"}],"urls":[{"id":16125105,"url":"http://api.elsevier.com/content/article/PII:S1470160X17305964?httpAccept=text/xml"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67273243"><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/67273243/Risks_of_ocean_acidification_in_the_California_Current_food_web_and_fisheries_ecosystem_model_projections"><img alt="Research paper thumbnail of Risks of ocean acidification in the California Current food web and fisheries: ecosystem model projections" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273243/Risks_of_ocean_acidification_in_the_California_Current_food_web_and_fisheries_ecosystem_model_projections">Risks of ocean acidification in the California Current food web and fisheries: ecosystem model projections</a></div><div class="wp-workCard_item"><span>Global Change Biology</span><span>, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The benefits and ecosystem services that humans derive from the oceans are threatened by numerous...</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 benefits and ecosystem services that humans derive from the oceans are threatened by numerous global change stressors, one of which is ocean acidification. Here, we describe the effects of ocean acidification on an upwelling system that already experiences inherently low pH conditions, the California Current. We used an end-to-end ecosystem model (Atlantis), forced by downscaled global climate models and informed by a meta-analysis of the pH sensitivities of local taxa, to investigate the direct and indirect effects of future pH on biomass and fisheries revenues. Our model projects a 0.2-unit drop in pH during the summer upwelling season from 2013 to 2063, which results in wide-ranging magnitudes of effects across guilds and functional groups. The most dramatic direct effects of future pH may be expected on epibenthic invertebrates (crabs, shrimps, benthic grazers, benthic detritivores, bivalves), and strong indirect effects expected on some demersal fish, sharks, and epibenthic invertebrates (Dungeness crab) because they consume species known to be sensitive to changing pH. The model&amp;amp;amp;amp;amp;amp;amp;#39;s pelagic community, including marine mammals and seabirds, was much less influenced by future pH. Some functional groups were less affected to changing pH in the model than might be expected from experimental studies in the empirical literature due to high population productivity (e.g., copepods, pteropods). Model results suggest strong effects of reduced pH on nearshore state-managed invertebrate fisheries, but modest effects on the groundfish fishery because individual groundfish species exhibited diverse responses to changing pH. Our results provide a set of projections that generally support and build upon previous findings and set the stage for hypotheses to guide future modeling and experimental analysis on the effects of OA on marine ecosystems and fisheries.</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="67273243"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273243"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273243; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273243]").text(description); $(".js-view-count[data-work-id=67273243]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273243; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273243']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273243, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273243]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273243,"title":"Risks of ocean acidification in the California Current food web and fisheries: ecosystem model projections","translated_title":"","metadata":{"abstract":"The benefits and ecosystem services that humans derive from the oceans are threatened by numerous global change stressors, one of which is ocean acidification. Here, we describe the effects of ocean acidification on an upwelling system that already experiences inherently low pH conditions, the California Current. We used an end-to-end ecosystem model (Atlantis), forced by downscaled global climate models and informed by a meta-analysis of the pH sensitivities of local taxa, to investigate the direct and indirect effects of future pH on biomass and fisheries revenues. Our model projects a 0.2-unit drop in pH during the summer upwelling season from 2013 to 2063, which results in wide-ranging magnitudes of effects across guilds and functional groups. The most dramatic direct effects of future pH may be expected on epibenthic invertebrates (crabs, shrimps, benthic grazers, benthic detritivores, bivalves), and strong indirect effects expected on some demersal fish, sharks, and epibenthic invertebrates (Dungeness crab) because they consume species known to be sensitive to changing pH. The model\u0026amp;amp;amp;amp;amp;amp;amp;#39;s pelagic community, including marine mammals and seabirds, was much less influenced by future pH. Some functional groups were less affected to changing pH in the model than might be expected from experimental studies in the empirical literature due to high population productivity (e.g., copepods, pteropods). Model results suggest strong effects of reduced pH on nearshore state-managed invertebrate fisheries, but modest effects on the groundfish fishery because individual groundfish species exhibited diverse responses to changing pH. Our results provide a set of projections that generally support and build upon previous findings and set the stage for hypotheses to guide future modeling and experimental analysis on the effects of OA on marine ecosystems and fisheries.","publisher":"Wiley-Blackwell","publication_date":{"day":null,"month":null,"year":2017,"errors":{}},"publication_name":"Global Change Biology"},"translated_abstract":"The benefits and ecosystem services that humans derive from the oceans are threatened by numerous global change stressors, one of which is ocean acidification. Here, we describe the effects of ocean acidification on an upwelling system that already experiences inherently low pH conditions, the California Current. We used an end-to-end ecosystem model (Atlantis), forced by downscaled global climate models and informed by a meta-analysis of the pH sensitivities of local taxa, to investigate the direct and indirect effects of future pH on biomass and fisheries revenues. Our model projects a 0.2-unit drop in pH during the summer upwelling season from 2013 to 2063, which results in wide-ranging magnitudes of effects across guilds and functional groups. The most dramatic direct effects of future pH may be expected on epibenthic invertebrates (crabs, shrimps, benthic grazers, benthic detritivores, bivalves), and strong indirect effects expected on some demersal fish, sharks, and epibenthic invertebrates (Dungeness crab) because they consume species known to be sensitive to changing pH. The model\u0026amp;amp;amp;amp;amp;amp;amp;#39;s pelagic community, including marine mammals and seabirds, was much less influenced by future pH. Some functional groups were less affected to changing pH in the model than might be expected from experimental studies in the empirical literature due to high population productivity (e.g., copepods, pteropods). Model results suggest strong effects of reduced pH on nearshore state-managed invertebrate fisheries, but modest effects on the groundfish fishery because individual groundfish species exhibited diverse responses to changing pH. Our results provide a set of projections that generally support and build upon previous findings and set the stage for hypotheses to guide future modeling and experimental analysis on the effects of OA on marine ecosystems and fisheries.","internal_url":"https://www.academia.edu/67273243/Risks_of_ocean_acidification_in_the_California_Current_food_web_and_fisheries_ecosystem_model_projections","translated_internal_url":"","created_at":"2022-01-05T11:38:45.479-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Risks_of_ocean_acidification_in_the_California_Current_food_web_and_fisheries_ecosystem_model_projections","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"The benefits and ecosystem services that humans derive from the oceans are threatened by numerous global change stressors, one of which is ocean acidification. Here, we describe the effects of ocean acidification on an upwelling system that already experiences inherently low pH conditions, the California Current. We used an end-to-end ecosystem model (Atlantis), forced by downscaled global climate models and informed by a meta-analysis of the pH sensitivities of local taxa, to investigate the direct and indirect effects of future pH on biomass and fisheries revenues. Our model projects a 0.2-unit drop in pH during the summer upwelling season from 2013 to 2063, which results in wide-ranging magnitudes of effects across guilds and functional groups. The most dramatic direct effects of future pH may be expected on epibenthic invertebrates (crabs, shrimps, benthic grazers, benthic detritivores, bivalves), and strong indirect effects expected on some demersal fish, sharks, and epibenthic invertebrates (Dungeness crab) because they consume species known to be sensitive to changing pH. The model\u0026amp;amp;amp;amp;amp;amp;amp;#39;s pelagic community, including marine mammals and seabirds, was much less influenced by future pH. Some functional groups were less affected to changing pH in the model than might be expected from experimental studies in the empirical literature due to high population productivity (e.g., copepods, pteropods). Model results suggest strong effects of reduced pH on nearshore state-managed invertebrate fisheries, but modest effects on the groundfish fishery because individual groundfish species exhibited diverse responses to changing pH. Our results provide a set of projections that generally support and build upon previous findings and set the stage for hypotheses to guide future modeling and experimental analysis on the effects of OA on marine ecosystems and fisheries.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"},{"id":4711,"name":"Fisheries","url":"https://www.academia.edu/Documents/in/Fisheries"},{"id":7051,"name":"Invertebrates","url":"https://www.academia.edu/Documents/in/Invertebrates"},{"id":26039,"name":"Global Change Biology","url":"https://www.academia.edu/Documents/in/Global_Change_Biology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":41779,"name":"Mammals","url":"https://www.academia.edu/Documents/in/Mammals"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":50113,"name":"California","url":"https://www.academia.edu/Documents/in/California"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":373754,"name":"Ecosystem","url":"https://www.academia.edu/Documents/in/Ecosystem"},{"id":1013028,"name":"Food Chain","url":"https://www.academia.edu/Documents/in/Food_Chain"},{"id":1137254,"name":"Hydrogen-Ion Concentration","url":"https://www.academia.edu/Documents/in/Hydrogen-Ion_Concentration"},{"id":1795281,"name":"Oceans and Seas","url":"https://www.academia.edu/Documents/in/Oceans_and_Seas"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67273237"><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/67273237/Extending_Vulnerability_Assessment_to_Include_Life_Stages_Considerations"><img alt="Research paper thumbnail of Extending Vulnerability Assessment to Include Life Stages Considerations" class="work-thumbnail" src="https://attachments.academia-assets.com/78150854/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/67273237/Extending_Vulnerability_Assessment_to_Include_Life_Stages_Considerations">Extending Vulnerability Assessment to Include Life Stages Considerations</a></div><div class="wp-workCard_item"><span>PLOS ONE</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Species are experiencing a suite of novel stressors from anthropogenic activities that have impac...</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">Species are experiencing a suite of novel stressors from anthropogenic activities that have impacts at multiple scales. Vulnerability assessment is one tool to evaluate the likely impacts that these stressors pose to species so that high-vulnerability cases can be identified and prioritized for monitoring, protection, or mitigation. Commonly used semi-quantitative methods lack a framework to explicitly account for differences in exposure to stressors and organism responses across life stages. Here we propose a modification to commonly used spatial vulnerability assessment methods that includes such an approach, using ocean acidification in the California Current as an illustrative case study. Life stage considerations were included by assessing vulnerability of each life stage to ocean acidification and were used to estimate population vulnerability in two ways. We set population vulnerability equal to: (1) the maximum stage vulnerability and (2) a weighted mean across all stages, with weights calculated using Lefkovitch matrix models. Vulnerability was found to vary across life stages for the six species explored in this case study: two krill-Euphausia pacifica and Thysanoessa spinifera, pteropod-Limacina helicina, pink shrimp-Pandalus jordani, Dungeness crab-Metacarcinus magister and Pacific hake-Merluccius productus. The maximum vulnerability estimates ranged from larval to subadult and adult stages with no consistent stage having maximum vulnerability across species. Similarly, integrated vulnerability metrics varied greatly across species. A comparison showed that some species had vulnerabilities that were similar between the two metrics, while other species' vulnerabilities varied substantially between the two metrics. These differences primarily resulted from cases where the most vulnerable stage had a low relative weight. We compare these methods and explore circumstances where each method may be appropriate.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7dc2627d8514fbb95ff67fdb44505605" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78150854,"asset_id":67273237,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78150854/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&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="67273237"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273237"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273237; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273237]").text(description); $(".js-view-count[data-work-id=67273237]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273237; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273237']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273237, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7dc2627d8514fbb95ff67fdb44505605" } } $('.js-work-strip[data-work-id=67273237]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273237,"title":"Extending Vulnerability Assessment to Include Life Stages Considerations","translated_title":"","metadata":{"publisher":"Public Library of Science (PLoS)","grobid_abstract":"Species are experiencing a suite of novel stressors from anthropogenic activities that have impacts at multiple scales. Vulnerability assessment is one tool to evaluate the likely impacts that these stressors pose to species so that high-vulnerability cases can be identified and prioritized for monitoring, protection, or mitigation. Commonly used semi-quantitative methods lack a framework to explicitly account for differences in exposure to stressors and organism responses across life stages. Here we propose a modification to commonly used spatial vulnerability assessment methods that includes such an approach, using ocean acidification in the California Current as an illustrative case study. Life stage considerations were included by assessing vulnerability of each life stage to ocean acidification and were used to estimate population vulnerability in two ways. We set population vulnerability equal to: (1) the maximum stage vulnerability and (2) a weighted mean across all stages, with weights calculated using Lefkovitch matrix models. Vulnerability was found to vary across life stages for the six species explored in this case study: two krill-Euphausia pacifica and Thysanoessa spinifera, pteropod-Limacina helicina, pink shrimp-Pandalus jordani, Dungeness crab-Metacarcinus magister and Pacific hake-Merluccius productus. The maximum vulnerability estimates ranged from larval to subadult and adult stages with no consistent stage having maximum vulnerability across species. Similarly, integrated vulnerability metrics varied greatly across species. A comparison showed that some species had vulnerabilities that were similar between the two metrics, while other species' vulnerabilities varied substantially between the two metrics. These differences primarily resulted from cases where the most vulnerable stage had a low relative weight. We compare these methods and explore circumstances where each method may be appropriate.","publication_date":{"day":null,"month":null,"year":2016,"errors":{}},"publication_name":"PLOS ONE","grobid_abstract_attachment_id":78150854},"translated_abstract":null,"internal_url":"https://www.academia.edu/67273237/Extending_Vulnerability_Assessment_to_Include_Life_Stages_Considerations","translated_internal_url":"","created_at":"2022-01-05T11:38:43.257-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":78150854,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150854/thumbnails/1.jpg","file_name":"1173985577c8fef38a0fc91fb32091838318.pdf","download_url":"https://www.academia.edu/attachments/78150854/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Extending_Vulnerability_Assessment_to_In.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150854/1173985577c8fef38a0fc91fb32091838318-libre.pdf?1641411864=\u0026response-content-disposition=attachment%3B+filename%3DExtending_Vulnerability_Assessment_to_In.pdf\u0026Expires=1735014749\u0026Signature=UxWnPrNvVQEs-GpCA5pbVuwr1LGbIy9c8nILVmGMwaUnK3POzo5uTOwRTu8CFr3W664DfpU16jVBkTwH2xUWLATLqjxveHyAx9Njj6fg3f-m1sqUcQSAvPKgs44u24SvGM7Kn9C1ayNAYiAD9FzVig3JeoduePxo3-9c-3RmQU~C-~qjKL3hMnwkkNLSm4qlW2anW3NomlsDP6EgvkoJasEtFYIYEShTocdY~c2ZVV8noVkswbAFGtpN-9jujiSH1o6QYl72nuhRmgH4SnTJvdJ9XCcTyYtWbpDQYUGLLOsULKq9o1yZc2f17E5reOK~lD6zqBdhHFWtfmc5JpzNAQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Extending_Vulnerability_Assessment_to_Include_Life_Stages_Considerations","translated_slug":"","page_count":22,"language":"en","content_type":"Work","summary":"Species are experiencing a suite of novel stressors from anthropogenic activities that have impacts at multiple scales. Vulnerability assessment is one tool to evaluate the likely impacts that these stressors pose to species so that high-vulnerability cases can be identified and prioritized for monitoring, protection, or mitigation. Commonly used semi-quantitative methods lack a framework to explicitly account for differences in exposure to stressors and organism responses across life stages. Here we propose a modification to commonly used spatial vulnerability assessment methods that includes such an approach, using ocean acidification in the California Current as an illustrative case study. Life stage considerations were included by assessing vulnerability of each life stage to ocean acidification and were used to estimate population vulnerability in two ways. We set population vulnerability equal to: (1) the maximum stage vulnerability and (2) a weighted mean across all stages, with weights calculated using Lefkovitch matrix models. Vulnerability was found to vary across life stages for the six species explored in this case study: two krill-Euphausia pacifica and Thysanoessa spinifera, pteropod-Limacina helicina, pink shrimp-Pandalus jordani, Dungeness crab-Metacarcinus magister and Pacific hake-Merluccius productus. The maximum vulnerability estimates ranged from larval to subadult and adult stages with no consistent stage having maximum vulnerability across species. Similarly, integrated vulnerability metrics varied greatly across species. A comparison showed that some species had vulnerabilities that were similar between the two metrics, while other species' vulnerabilities varied substantially between the two metrics. These differences primarily resulted from cases where the most vulnerable stage had a low relative weight. We compare these methods and explore circumstances where each method may be appropriate.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[{"id":78150854,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78150854/thumbnails/1.jpg","file_name":"1173985577c8fef38a0fc91fb32091838318.pdf","download_url":"https://www.academia.edu/attachments/78150854/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE0OSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Extending_Vulnerability_Assessment_to_In.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78150854/1173985577c8fef38a0fc91fb32091838318-libre.pdf?1641411864=\u0026response-content-disposition=attachment%3B+filename%3DExtending_Vulnerability_Assessment_to_In.pdf\u0026Expires=1735014749\u0026Signature=UxWnPrNvVQEs-GpCA5pbVuwr1LGbIy9c8nILVmGMwaUnK3POzo5uTOwRTu8CFr3W664DfpU16jVBkTwH2xUWLATLqjxveHyAx9Njj6fg3f-m1sqUcQSAvPKgs44u24SvGM7Kn9C1ayNAYiAD9FzVig3JeoduePxo3-9c-3RmQU~C-~qjKL3hMnwkkNLSm4qlW2anW3NomlsDP6EgvkoJasEtFYIYEShTocdY~c2ZVV8noVkswbAFGtpN-9jujiSH1o6QYl72nuhRmgH4SnTJvdJ9XCcTyYtWbpDQYUGLLOsULKq9o1yZc2f17E5reOK~lD6zqBdhHFWtfmc5JpzNAQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":220780,"name":"PLoS one","url":"https://www.academia.edu/Documents/in/PLoS_one"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67273224"><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/67273224/An_Ecological_Risk_Analysis_of_Ocean_Acidification_in_the_California_Current"><img alt="Research paper thumbnail of An Ecological Risk Analysis of Ocean Acidification in the California Current" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/67273224/An_Ecological_Risk_Analysis_of_Ocean_Acidification_in_the_California_Current">An Ecological Risk Analysis of Ocean Acidification in the California Current</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT The oceans absorb approximately 30% of carbon emitted into the atmosphere, causing tempe...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT The oceans absorb approximately 30% of carbon emitted into the atmosphere, causing temperature changes and ocean acidification. However, the realized impact that ocean acidification will have on marine ecosystems remains largely unknown. Here, we adopt a risk-based framework for screening species most likely to be affected by changes in pH based on exposure, sensitivity, and life stage analysis. The risk metric adapts the existing approach of determining sensitivity and exposure by adding a third axis of life stage elasticity. This approach allows for an investigation of the risk faced by key species in the California Current accounting for the importance of each life stage for species’ success. The California Current is an ideal study system, as low levels of carbonate saturation already exist within the near-shore environment due to upwelling and species currently experiencing low pH will experience even lower levels earlier than those in other regions. Species were selected based on ecological and/or economic importance. Results from this analysis applied to seven species from zooplankton to crustaceans and fish, reveal differences in risk based on life histories and physiological tolerance. This work reveals information gaps needed to precisely forecast ecological changes from acidification, and to more effectively assess risk.</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="67273224"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67273224"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67273224; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67273224]").text(description); $(".js-view-count[data-work-id=67273224]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67273224; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67273224']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67273224, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=67273224]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67273224,"title":"An Ecological Risk Analysis of Ocean Acidification in the California Current","translated_title":"","metadata":{"abstract":"ABSTRACT The oceans absorb approximately 30% of carbon emitted into the atmosphere, causing temperature changes and ocean acidification. However, the realized impact that ocean acidification will have on marine ecosystems remains largely unknown. Here, we adopt a risk-based framework for screening species most likely to be affected by changes in pH based on exposure, sensitivity, and life stage analysis. The risk metric adapts the existing approach of determining sensitivity and exposure by adding a third axis of life stage elasticity. This approach allows for an investigation of the risk faced by key species in the California Current accounting for the importance of each life stage for species’ success. The California Current is an ideal study system, as low levels of carbonate saturation already exist within the near-shore environment due to upwelling and species currently experiencing low pH will experience even lower levels earlier than those in other regions. Species were selected based on ecological and/or economic importance. Results from this analysis applied to seven species from zooplankton to crustaceans and fish, reveal differences in risk based on life histories and physiological tolerance. This work reveals information gaps needed to precisely forecast ecological changes from acidification, and to more effectively assess risk.","publication_date":{"day":20,"month":8,"year":2014,"errors":{}}},"translated_abstract":"ABSTRACT The oceans absorb approximately 30% of carbon emitted into the atmosphere, causing temperature changes and ocean acidification. However, the realized impact that ocean acidification will have on marine ecosystems remains largely unknown. Here, we adopt a risk-based framework for screening species most likely to be affected by changes in pH based on exposure, sensitivity, and life stage analysis. The risk metric adapts the existing approach of determining sensitivity and exposure by adding a third axis of life stage elasticity. This approach allows for an investigation of the risk faced by key species in the California Current accounting for the importance of each life stage for species’ success. The California Current is an ideal study system, as low levels of carbonate saturation already exist within the near-shore environment due to upwelling and species currently experiencing low pH will experience even lower levels earlier than those in other regions. Species were selected based on ecological and/or economic importance. Results from this analysis applied to seven species from zooplankton to crustaceans and fish, reveal differences in risk based on life histories and physiological tolerance. This work reveals information gaps needed to precisely forecast ecological changes from acidification, and to more effectively assess risk.","internal_url":"https://www.academia.edu/67273224/An_Ecological_Risk_Analysis_of_Ocean_Acidification_in_the_California_Current","translated_internal_url":"","created_at":"2022-01-05T11:38:38.390-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"An_Ecological_Risk_Analysis_of_Ocean_Acidification_in_the_California_Current","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"ABSTRACT The oceans absorb approximately 30% of carbon emitted into the atmosphere, causing temperature changes and ocean acidification. However, the realized impact that ocean acidification will have on marine ecosystems remains largely unknown. Here, we adopt a risk-based framework for screening species most likely to be affected by changes in pH based on exposure, sensitivity, and life stage analysis. The risk metric adapts the existing approach of determining sensitivity and exposure by adding a third axis of life stage elasticity. This approach allows for an investigation of the risk faced by key species in the California Current accounting for the importance of each life stage for species’ success. The California Current is an ideal study system, as low levels of carbonate saturation already exist within the near-shore environment due to upwelling and species currently experiencing low pH will experience even lower levels earlier than those in other regions. Species were selected based on ecological and/or economic importance. Results from this analysis applied to seven species from zooplankton to crustaceans and fish, reveal differences in risk based on life histories and physiological tolerance. This work reveals information gaps needed to precisely forecast ecological changes from acidification, and to more effectively assess risk.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[{"id":402,"name":"Environmental Science","url":"https://www.academia.edu/Documents/in/Environmental_Science"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="67259216"><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/67259216/The_benefits_of_workshopping_graduate_fellowships_a_how_to_guide_for_graduate_students_and_early_career_scientists"><img alt="Research paper thumbnail of The benefits of workshopping graduate fellowships: a how-to guide for graduate students and early career scientists" class="work-thumbnail" src="https://attachments.academia-assets.com/78142485/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/67259216/The_benefits_of_workshopping_graduate_fellowships_a_how_to_guide_for_graduate_students_and_early_career_scientists">The benefits of workshopping graduate fellowships: a how-to guide for graduate students and early career scientists</a></div><div class="wp-workCard_item"><span>Ideas in Ecology and Evolution</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Grant and fellowship proposal writing are key skills for professionals in scientific and research...</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">Grant and fellowship proposal writing are key skills for professionals in scientific and research-driven fields, and early exposure and training in proposal writing substantially benefits early career scientists. Here, we present a framework for a student-led workshop for graduate fellowships that is built upon four years of implementation at the University of Washington's School of Aquatic and Fishery Sciences (Seattle, USA). This workshop was designed for applicants to the United States National Science Foundation Graduate Research Fellowship Program (NSF GRFP), but the format is flexible and easily tailored to other fellowships. We describe the primary components of the workshop, the implementation of the workshop, and the major benefits as reported by participants at the University of Washington. The core of the workshop framework is a small group structure that facilitates valuable in-depth interactions among student mentors and applicants. The primary outcomes of the workshop include improved writing and communication skills for graduate students and experience with peer review and critical feedback for both applicants and student mentors. These outcomes are achieved while maintaining a reasonable time commitment for student mentors. The workshop format is sustainable, promotes community-building within and across departments, and facilitates equal access to mentorship and resources for all students.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b1379ba64d4f22086857c8f877d3deb4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":78142485,"asset_id":67259216,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/78142485/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&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="67259216"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="67259216"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 67259216; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=67259216]").text(description); $(".js-view-count[data-work-id=67259216]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 67259216; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='67259216']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 67259216, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b1379ba64d4f22086857c8f877d3deb4" } } $('.js-work-strip[data-work-id=67259216]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":67259216,"title":"The benefits of workshopping graduate fellowships: a how-to guide for graduate students and early career scientists","translated_title":"","metadata":{"publisher":"Ideas in Ecology and Evolution","ai_title_tag":"Workshop Framework for Graduate Fellowship Proposal Writing","grobid_abstract":"Grant and fellowship proposal writing are key skills for professionals in scientific and research-driven fields, and early exposure and training in proposal writing substantially benefits early career scientists. 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Here, we present a framework for a student-led workshop for graduate fellowships that is built upon four years of implementation at the University of Washington's School of Aquatic and Fishery Sciences (Seattle, USA). This workshop was designed for applicants to the United States National Science Foundation Graduate Research Fellowship Program (NSF GRFP), but the format is flexible and easily tailored to other fellowships. We describe the primary components of the workshop, the implementation of the workshop, and the major benefits as reported by participants at the University of Washington. The core of the workshop framework is a small group structure that facilitates valuable in-depth interactions among student mentors and applicants. The primary outcomes of the workshop include improved writing and communication skills for graduate students and experience with peer review and critical feedback for both applicants and student mentors. These outcomes are achieved while maintaining a reasonable time commitment for student mentors. The workshop format is sustainable, promotes community-building within and across departments, and facilitates equal access to mentorship and resources for all students.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[{"id":78142485,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/78142485/thumbnails/1.jpg","file_name":"416077a66ce772245a38691ffdf8eef9f8a4.pdf","download_url":"https://www.academia.edu/attachments/78142485/download_file?st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&st=MTczNTAxMTE1MCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_benefits_of_workshopping_graduate_fe.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/78142485/416077a66ce772245a38691ffdf8eef9f8a4-libre.pdf?1641440658=\u0026response-content-disposition=attachment%3B+filename%3DThe_benefits_of_workshopping_graduate_fe.pdf\u0026Expires=1735014749\u0026Signature=Tno24Fk-FI4uhg2erNc5fHF2jPYyVXAlzeCbxFqMeAlArp7C-S3Fd6yvude5WDZfWbEYD253~V7MM0Puz2-ilzSy7dsG-yv5cdX7zn2-6z9tt4xi211kykX4zbK7j22Y0fw3u-Ya74z-PtT0gs7wFWzqnmO1nhL-mjregRye~6zev4aMKQAeXqA79pJ1b3b2yAfv3k5sKXsdGXVy7YR~LYmvjQMbx1kdumYIV63tlfEAJ1uvAxHzxyDKZH1Cvv-tw3njX9ADvxZgj5GyQaupeTPVkqO3QsyNUjKQA13y9Jl2j4ICd-invMfri6bkos-yMxbr6ZydynSs-SIQcf4JaQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":155,"name":"Evolutionary Biology","url":"https://www.academia.edu/Documents/in/Evolutionary_Biology"},{"id":221,"name":"Psychology","url":"https://www.academia.edu/Documents/in/Psychology"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="60332133"><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/60332133/Fishing_Amplifies_Collapse_of_Forage_Fish_Management_Thresholds_for_Ecosystem_Based_Management"><img alt="Research paper thumbnail of Fishing Amplifies Collapse of Forage Fish: Management Thresholds for Ecosystem-Based Management" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/60332133/Fishing_Amplifies_Collapse_of_Forage_Fish_Management_Thresholds_for_Ecosystem_Based_Management">Fishing Amplifies Collapse of Forage Fish: Management Thresholds for Ecosystem-Based Management</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Forage fish support the largest fisheries in the world yet also play key roles in marine...</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 Forage fish support the largest fisheries in the world yet also play key roles in marine food webs as prey for large fish, seabirds, and marine mammals. Fishing can thereby have far reaching consequences on marine food webs unless safeguards are in place to avoid depleting forage fish to low levels. Disentangling the contributions of fishing versus natural processes on population dynamics has been difficult because of the sensitivity of these stocks to environmental conditions. Here we overcome this difficulty by collating population abundance time series for forage stocks that account for nearly two-thirds of global catch of forage fish and use this information to identify the fingerprint of fisheries on their population dynamics. Stock collapses have been occurring regularly, and are increasing in frequency, implying that modern science-based management has not been able to adaptively respond to rapid changes in stock productivity. Forage fish stock collapses are preceded by high fishing rates and sharp drops in stock productivity. Consequently, collapses have been more frequent and more severe than they would be in the absence of fishing. A precautionary fisheries management scheme that limits fishing when populations become scarce would benefit both fisheries and ecosystems.</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="60332133"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="60332133"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 60332133; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=60332133]").text(description); $(".js-view-count[data-work-id=60332133]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 60332133; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='60332133']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 60332133, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=60332133]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":60332133,"title":"Fishing Amplifies Collapse of Forage Fish: Management Thresholds for Ecosystem-Based Management","translated_title":"","metadata":{"abstract":"ABSTRACT Forage fish support the largest fisheries in the world yet also play key roles in marine food webs as prey for large fish, seabirds, and marine mammals. Fishing can thereby have far reaching consequences on marine food webs unless safeguards are in place to avoid depleting forage fish to low levels. Disentangling the contributions of fishing versus natural processes on population dynamics has been difficult because of the sensitivity of these stocks to environmental conditions. Here we overcome this difficulty by collating population abundance time series for forage stocks that account for nearly two-thirds of global catch of forage fish and use this information to identify the fingerprint of fisheries on their population dynamics. Stock collapses have been occurring regularly, and are increasing in frequency, implying that modern science-based management has not been able to adaptively respond to rapid changes in stock productivity. Forage fish stock collapses are preceded by high fishing rates and sharp drops in stock productivity. Consequently, collapses have been more frequent and more severe than they would be in the absence of fishing. A precautionary fisheries management scheme that limits fishing when populations become scarce would benefit both fisheries and ecosystems.","publication_date":{"day":20,"month":8,"year":2014,"errors":{}}},"translated_abstract":"ABSTRACT Forage fish support the largest fisheries in the world yet also play key roles in marine food webs as prey for large fish, seabirds, and marine mammals. Fishing can thereby have far reaching consequences on marine food webs unless safeguards are in place to avoid depleting forage fish to low levels. Disentangling the contributions of fishing versus natural processes on population dynamics has been difficult because of the sensitivity of these stocks to environmental conditions. Here we overcome this difficulty by collating population abundance time series for forage stocks that account for nearly two-thirds of global catch of forage fish and use this information to identify the fingerprint of fisheries on their population dynamics. Stock collapses have been occurring regularly, and are increasing in frequency, implying that modern science-based management has not been able to adaptively respond to rapid changes in stock productivity. Forage fish stock collapses are preceded by high fishing rates and sharp drops in stock productivity. Consequently, collapses have been more frequent and more severe than they would be in the absence of fishing. A precautionary fisheries management scheme that limits fishing when populations become scarce would benefit both fisheries and ecosystems.","internal_url":"https://www.academia.edu/60332133/Fishing_Amplifies_Collapse_of_Forage_Fish_Management_Thresholds_for_Ecosystem_Based_Management","translated_internal_url":"","created_at":"2021-10-29T09:52:12.273-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37073031,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Fishing_Amplifies_Collapse_of_Forage_Fish_Management_Thresholds_for_Ecosystem_Based_Management","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"ABSTRACT Forage fish support the largest fisheries in the world yet also play key roles in marine food webs as prey for large fish, seabirds, and marine mammals. Fishing can thereby have far reaching consequences on marine food webs unless safeguards are in place to avoid depleting forage fish to low levels. Disentangling the contributions of fishing versus natural processes on population dynamics has been difficult because of the sensitivity of these stocks to environmental conditions. Here we overcome this difficulty by collating population abundance time series for forage stocks that account for nearly two-thirds of global catch of forage fish and use this information to identify the fingerprint of fisheries on their population dynamics. Stock collapses have been occurring regularly, and are increasing in frequency, implying that modern science-based management has not been able to adaptively respond to rapid changes in stock productivity. Forage fish stock collapses are preceded by high fishing rates and sharp drops in stock productivity. Consequently, collapses have been more frequent and more severe than they would be in the absence of fishing. A precautionary fisheries management scheme that limits fishing when populations become scarce would benefit both fisheries and ecosystems.","owner":{"id":37073031,"first_name":"Emma","middle_initials":"E","last_name":"Hodgson","page_name":"HodgsonEmma","domain_name":"independent","created_at":"2015-10-27T08:41:06.793-07:00","display_name":"Emma E Hodgson","url":"https://independent.academia.edu/HodgsonEmma"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="17116194"><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/17116194/Reductions_in_federal_oversight_of_aquatic_systems_in_Canada_implications_of_the_new_Navigation_Protection_Act"><img alt="Research paper thumbnail of Reductions in federal oversight of aquatic systems in Canada: implications of the new Navigation Protection Act" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/17116194/Reductions_in_federal_oversight_of_aquatic_systems_in_Canada_implications_of_the_new_Navigation_Protection_Act">Reductions in federal oversight of aquatic systems in Canada: implications of the new Navigation Protection Act</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://queensu.academia.edu/AdrienneDavidson">Adrienne Davidson</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/AmandaWinegardner">Amanda Winegardner</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/HodgsonEmma">Emma E Hodgson</a></span></div><div class="wp-workCard_item"><span>Canadian Journal of Fisheries and Aquatic Sciences</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The reduction of environmental legislation and regulation has become a common practice for govern...</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 reduction of environmental legislation and regulation has become a common practice for governments looking to reduce government overhead while boosting private sector investment. Following this trend, in 2012 Canada enacted major legislative changes to its environmental policies. The Canadian Environmental Assessment Act (CEAA) was overhauled, and related Acts, including the (federal) Navigable Water Protection Act (NWPA), saw their regulatory processes reduced. There is a need for aquatic scientists to better understand the potential implications for environmental protection and the systems we study. We provide an overview of changes to the CEAA and NWPA before quantifying the duration and outcomes of NWPA-triggered assessments, as well as the implications of changes to the CEAA and NWPA. We find that 87% of environmental assessments that were triggered by the NWPA in the last 10 years were completed within 2 years and that the majority resulted in project approval. Of the assessments reviewed, 58% were on water bodies that are no longer protected under the new <br />Navigation Protection Act, suggesting that the combination of these changes and new Acts will result in substantial reductions of environmental assessments on aquatic systems.</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="17116194"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="17116194"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 17116194; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=17116194]").text(description); $(".js-view-count[data-work-id=17116194]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 17116194; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='17116194']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 17116194, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=17116194]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":17116194,"title":"Reductions in federal oversight of aquatic systems in Canada: implications of the new Navigation Protection Act","translated_title":"","metadata":{"abstract":"The reduction of environmental legislation and regulation has become a common practice for governments looking to reduce government overhead while boosting private sector investment. Following this trend, in 2012 Canada enacted major legislative changes to its environmental policies. The Canadian Environmental Assessment Act (CEAA) was overhauled, and related Acts, including the (federal) Navigable Water Protection Act (NWPA), saw their regulatory processes reduced. There is a need for aquatic scientists to better understand the potential implications for environmental protection and the systems we study. We provide an overview of changes to the CEAA and NWPA before quantifying the duration and outcomes of NWPA-triggered assessments, as well as the implications of changes to the CEAA and NWPA. We find that 87% of environmental assessments that were triggered by the NWPA in the last 10 years were completed within 2 years and that the majority resulted in project approval. Of the assessments reviewed, 58% were on water bodies that are no longer protected under the new\r\nNavigation Protection Act, suggesting that the combination of these changes and new Acts will result in substantial reductions of environmental assessments on aquatic systems.","publication_date":{"day":null,"month":null,"year":2014,"errors":{}},"publication_name":"Canadian Journal of Fisheries and Aquatic Sciences"},"translated_abstract":"The reduction of environmental legislation and regulation has become a common practice for governments looking to reduce government overhead while boosting private sector investment. Following this trend, in 2012 Canada enacted major legislative changes to its environmental policies. The Canadian Environmental Assessment Act (CEAA) was overhauled, and related Acts, including the (federal) Navigable Water Protection Act (NWPA), saw their regulatory processes reduced. There is a need for aquatic scientists to better understand the potential implications for environmental protection and the systems we study. We provide an overview of changes to the CEAA and NWPA before quantifying the duration and outcomes of NWPA-triggered assessments, as well as the implications of changes to the CEAA and NWPA. We find that 87% of environmental assessments that were triggered by the NWPA in the last 10 years were completed within 2 years and that the majority resulted in project approval. Of the assessments reviewed, 58% were on water bodies that are no longer protected under the new\r\nNavigation Protection Act, suggesting that the combination of these changes and new Acts will result in substantial reductions of environmental assessments on aquatic systems.","internal_url":"https://www.academia.edu/17116194/Reductions_in_federal_oversight_of_aquatic_systems_in_Canada_implications_of_the_new_Navigation_Protection_Act","translated_internal_url":"","created_at":"2015-10-21T09:24:58.326-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":36687788,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":7717358,"work_id":17116194,"tagging_user_id":36687788,"tagged_user_id":36769533,"co_author_invite_id":1723541,"email":"a***r@gmail.com","display_order":1,"name":"Amanda Winegardner","title":"Reductions in federal oversight of aquatic systems in Canada: implications of the new Navigation Protection Act"},{"id":25956301,"work_id":17116194,"tagging_user_id":36687788,"tagged_user_id":37073031,"co_author_invite_id":null,"email":"e***n@gmail.com","display_order":4194304,"name":"Emma E Hodgson","title":"Reductions in federal oversight of aquatic systems in Canada: implications of the new Navigation Protection Act"}],"downloadable_attachments":[],"slug":"Reductions_in_federal_oversight_of_aquatic_systems_in_Canada_implications_of_the_new_Navigation_Protection_Act","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"The reduction of environmental legislation and regulation has become a common practice for governments looking to reduce government overhead while boosting private sector investment. 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