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data-props="{"color":"gray","children":["GRASS GIS"]}" data-trace="false" data-dom-id="Pill-react-component-86d4bba3-91e2-40c4-8561-0563e6b2feac"></div> <div id="Pill-react-component-86d4bba3-91e2-40c4-8561-0563e6b2feac"></div> </a><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="37219284" href="https://www.academia.edu/Documents/in/Dolphins"><div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Dolphins"]}" data-trace="false" data-dom-id="Pill-react-component-855a9db9-54ac-4d27-9521-c07f4f2973aa"></div> <div id="Pill-react-component-855a9db9-54ac-4d27-9521-c07f4f2973aa"></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 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Halpin</h3></div><div class="js-work-strip profile--work_container" data-work-id="19473722"><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/19473722/Deterministic_Factors_Overwhelm_Stochastic_Environmental_Fluctuations_as_Drivers_of_Jellyfish_Outbreaks"><img alt="Research paper thumbnail of Deterministic Factors Overwhelm Stochastic Environmental Fluctuations as Drivers of Jellyfish Outbreaks" 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/19473722/Deterministic_Factors_Overwhelm_Stochastic_Environmental_Fluctuations_as_Drivers_of_Jellyfish_Outbreaks">Deterministic Factors Overwhelm Stochastic Environmental Fluctuations as Drivers of Jellyfish Outbreaks</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://pucv.academia.edu/AntonioCanepa">Antonio Canepa</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/LisandroBenedettiCecchi">Lisandro Benedetti-Cecchi</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/PatrickNHalpin">Patrick N. Halpin</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/Ver%C3%B3nicaFuentes4">Verónica Fuentes</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/VeroFuentes">Vero Fuentes</a></span></div><div class="wp-workCard_item"><span>PLOS ONE</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Jellyfish outbreaks are increasingly viewed as a deterministic response to escalating levels of e...</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">Jellyfish outbreaks are increasingly viewed as a deterministic response to escalating levels of environmental degradation and climate extremes. However, a comprehensive understanding of the influence of deterministic drivers and stochastic environmental variations favouring population renewal processes has remained elusive. This study quantifies the deterministic and stochastic components of environmental change that lead to outbreaks of the jellyfish Pelagia noctiluca in the Mediterranen Sea. Using data of jellyfish abundance collected at 241 sites along the Catalan coast from 2007 to 2010 we: (1) tested hypotheses about the influence of time-varying and spatial predictors of jellyfish outbreaks; (2) evaluated the relative importance of stochastic vs. deterministic forcing of outbreaks through the environmental bootstrap method; and (3) quantified return times of extreme events. Outbreaks were common in May and June and less likely in other summer months, which resulted in a negative relationship between outbreaks and SST. Cross- and along-shore advection by geostrophic flow were important concentrating forces of jellyfish, but most outbreaks occurred in the proximity of two canyons in the northern part of the study area. This result supported the recent hypothesis that canyons can funnel P. noctiluca blooms towards shore during upwelling. This can be a general, yet unappreciated mechanism leading to outbreaks of holoplanktonic jellyfish species. The environmental bootstrap indicated that stochastic environmental fluctuations have negligible effects on return times of outbreaks. Our analysis emphasized the importance of deterministic processes leading to jellyfish outbreaks compared to the stochastic component of environmental variation. A better understanding of how environmental drivers affect demographic and population processes in jellyfish species will increase the ability to anticipate jellyfish outbreaks in the future.</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="19473722"><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="19473722"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19473722; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19473722]").text(description); $(".js-view-count[data-work-id=19473722]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19473722; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19473722']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 19473722, 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" } } $('.js-work-strip[data-work-id=19473722]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19473722,"title":"Deterministic Factors Overwhelm Stochastic Environmental Fluctuations as Drivers of Jellyfish Outbreaks","translated_title":"","metadata":{"abstract":"Jellyfish outbreaks are increasingly viewed as a deterministic response to escalating levels of environmental degradation and climate extremes. 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Halpin</a></span></div><div class="wp-workCard_item"><span>Geoinformatica</span><span>, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">As detailed terrain data becomes available, GIS terrain applications target larger geographic are...</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">As detailed terrain data becomes available, GIS terrain applications target larger geographic areas at ner resolutions. Processing the massive data involved in such applications presents signicant challenges to GIS systems and demands algorithms that are optimized for both data movement and computation. 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These whales acquire their annual energetic needs during an episodic feeding season in high latitude waters that must sustain long-distance migration and fasting on low-latitude breeding grounds. Antarctic krill are broadly distributed along the continental shelf and nearshore waters during the spring and early summer, and move closer to land during late summer and fall, where they overwinter under the protective and nutritional cover of sea ice. We apply a novel space-time utilization distribution method to test the hypothesis that humpback whale distribution reflects that of krill: spread broadly during summer with increasing proximity to shore and associated embayments during fall. Humpback whales instrumented with satellite-linked positional telemetry tags (n = 5), show decreased home range size, amount of ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="24c7603d0bab19c70f0747590b8ba70f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53087691,"asset_id":32961718,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53087691/download_file?st=MTczMjQyMDkzMiw4LjIyMi4yMDguMTQ2&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="32961718"><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="32961718"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32961718; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32961718]").text(description); $(".js-view-count[data-work-id=32961718]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32961718; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='32961718']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 32961718, 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: "24c7603d0bab19c70f0747590b8ba70f" } } $('.js-work-strip[data-work-id=32961718]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":32961718,"title":"Modeling the spatial and temporal dynamics of foraging movements of humpback whales (Megaptera novaeangliae) in the Western Antarctic Peninsula","translated_title":"","metadata":{"abstract":"A population of humpback whales (Megaptera novaeangliae) spends the austral summer feeding on Antarctic krill (Euphausia superba) along the Western Antarctic Peninsula (WAP). 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A zero-inflated negative binomial model was fit using a variety of oceanographic variables to better understand distribution and abundance. The two most important dynamic oceanographic variables were sea surface temperature and chlorophyll-a concentration. We also used catch and release locations of dolphinfish caught by recreational fishermen (2002)(2003)(2004)(2005)(2006)(2007) to compare conditions between datasets and for model evaluation. Dolphinfish CPUE was highest at 22-25 • C with a peak at 24 • C for the longline dataset, while recreational dolphinfish were caught in waters \u003e19 • C with peak catches occurring at 27 • C. Dolphinfish CPUE was highest when chlorophyll-a concentration was \u003c0.2 mg m −3 , and the majority of recreational dolphinfish were captured in waters \u003c0.1 mg m −3 with a peak at 0.02 mg m −3 . We also found that a majority (73.26%) of recreational dolphinfish were caught in association with Sargassum spp., and larger dolphinfish (\u003e82.3 cm FL) are caught more frequently outside of the floating mats.","publication_name":"Canadian Journal of Fisheries and Aquatic Sciences","grobid_abstract_attachment_id":53087701},"translated_abstract":null,"internal_url":"https://www.academia.edu/32961717/The_influence_of_biophysical_ocean_conditions_on_dolphinfish_Coryphaena_hippurus_commercial_and_recreational_catch_in_the_U_S_Atlantic_fishery","translated_internal_url":"","created_at":"2017-05-11T09:22:55.545-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37219284,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":53087701,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53087701/thumbnails/1.jpg","file_name":"The_influence_of_biophysical_ocean_condi20170511-3604-ihjxit.pdf","download_url":"https://www.academia.edu/attachments/53087701/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_influence_of_biophysical_ocean_condi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53087701/The_influence_of_biophysical_ocean_condi20170511-3604-ihjxit-libre.pdf?1494520440=\u0026response-content-disposition=attachment%3B+filename%3DThe_influence_of_biophysical_ocean_condi.pdf\u0026Expires=1732424532\u0026Signature=GX7EBskh0PIJrbv4rnVgMbLbY0infWWPMjMAUBg0seAxKQkAUd8tn2t9H4Q-t2vvfvVSQS2c9pNFIHBLCsW7Oob1b0plMew3kfQ8GZ4T6pu7wzQ8PAHTBI2Uo7yz5ygxAE28I-BedWh9YaZyN1w-olDGziC6DAwme04hJCJJ5BrqYVZJQKLJxfSJccFBt~ugaJDGGNsQp8kfnq~K5KP~n7OOJT9~RscS~v2vMkuW9U7Exh1Ck3L0t-0AHZKSSBWWUD-JJgV6T8cAOjim548i1n8t5QfR6jlkhfEIS4xow7SEx4mC29RffqYavaEIxf3Pv4RUNKd0dg0ITJSoMPZ7qA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_influence_of_biophysical_ocean_conditions_on_dolphinfish_Coryphaena_hippurus_commercial_and_recreational_catch_in_the_U_S_Atlantic_fishery","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":37219284,"first_name":"Patrick N.","middle_initials":null,"last_name":"Halpin","page_name":"PatrickNHalpin","domain_name":"independent","created_at":"2015-10-29T07:51:54.666-07:00","display_name":"Patrick N. 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Biologically Important Areas for Cetaceans Within U.S. Waters – East Coast Region" class="work-thumbnail" src="https://attachments.academia-assets.com/53087693/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/32961716/2_Biologically_Important_Areas_for_Cetaceans_Within_U_S_Waters_East_Coast_Region">2. Biologically Important Areas for Cetaceans Within U.S. Waters – East Coast Region</a></div><div class="wp-workCard_item"><span>Aquatic Mammals</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c6cb2f5a35dd9043c37c8035d6307bb2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53087693,"asset_id":32961716,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53087693/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&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="32961716"><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="32961716"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32961716; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32961716]").text(description); $(".js-view-count[data-work-id=32961716]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32961716; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='32961716']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 32961716, 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: "c6cb2f5a35dd9043c37c8035d6307bb2" } } $('.js-work-strip[data-work-id=32961716]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":32961716,"title":"2. Biologically Important Areas for Cetaceans Within U.S. Waters – East Coast Region","translated_title":"","metadata":{"grobid_abstract":"In this review, we merge existing published and unpublished information along with expert judgment to identify and support the delineation of 18 Biologically Important Areas (BIAs) in U.S. waters along the East Coast for minke whales, sei whales, fin whales, North Atlantic right whales, humpback whales, harbor porpoises, and bottlenose dolphins. BIAs are delineated for feeding areas, reproductive areas, migratory corridors, and small and resident populations to enhance existing information already available to scientists, managers, policymakers, and the public. BIAs ranged in size from approximately 152 to 270,000 km 2 . They are intended to provide synthesized information in a transparent format that can be readily used toward the analyses and planning under U.S. statutes that require the characterization and minimization of impacts of anthropogenic activities on marine mammals. BIAs are not intended to represent all important areas for consideration in planning processes; in particular, areas of high marine mammal density, typically identified based on a combination of systematic visual and/or acoustic detections coupled with quantitative modeling, are very important to consider, where available, in any assessment. 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Halpin</a></span></div><div class="wp-workCard_item"><span>Proceedings of the ninth ACM international symposium on Advances in geographic information systems - GIS '01</span><span>, 2001</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="de560f15d5f3e7f2ae1c7afdb8ea3449" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":44707775,"asset_id":14011592,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/44707775/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&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="14011592"><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="14011592"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 14011592; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=14011592]").text(description); $(".js-view-count[data-work-id=14011592]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 14011592; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='14011592']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 14011592, 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: "de560f15d5f3e7f2ae1c7afdb8ea3449" } } $('.js-work-strip[data-work-id=14011592]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":14011592,"title":"Flow computation on massive grids","translated_title":"","metadata":{"grobid_abstract":"As detailed terrain data becomes available, GIS applications target larger geographic areas at finer resolutions. 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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="32961712"><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/32961712/Evidence_of_resource_partitioning_and_niche_separation_between_humpback_and_minke_whales_in_Antarctica_implications_for_interspecific_competition"><img alt="Research paper thumbnail of Evidence of resource partitioning and niche separation between humpback and minke whales in Antarctica: implications for interspecific competition" class="work-thumbnail" src="https://attachments.academia-assets.com/53087688/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/32961712/Evidence_of_resource_partitioning_and_niche_separation_between_humpback_and_minke_whales_in_Antarctica_implications_for_interspecific_competition">Evidence of resource partitioning and niche separation between humpback and minke whales in Antarctica: implications for interspecific competition</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4e7405cfcacacc50d2654149d8f6f69a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53087688,"asset_id":32961712,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53087688/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&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="32961712"><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="32961712"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32961712; 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Body size and energetic models suggest smaller whales should target shallower, smaller, denser, prey aggregations than larger whales. The large sympatric pre-whaling Antarctic cetacean community suggests resource partitioning or non-limiting resources. We use Mantel's tests to elucidate physical and biological environmental variables affecting minke and humpback whale distribution patterns. We find distribution of both species most related to prey distribution, and species-specific differences in physical features which may aggregate prey or help determine ice free areas during winter. CART models including concurrent measurements of acoustically inferred prey aggregations show smaller minke whales consistently associating with significantly deeper krill aggregations across a range of spatial scales. Furthermore, we find evidence of minke whales targeting patches with larger individual krill and smaller aggregation area than humpback whales. These results indicate possible resource partitioning and niche separation mediated by food preferences and the biomechanics of body size, suggesting inter-specific competition is unlikely. Given accelerating rates of climate change around the Antarctic Peninsula, and the ecological importance of baleen whales still recovering from exploitation, our results can benefit organizations managing and conserving Antarctic cetaceans and ecosystems.","grobid_abstract_attachment_id":53087688},"translated_abstract":null,"internal_url":"https://www.academia.edu/32961712/Evidence_of_resource_partitioning_and_niche_separation_between_humpback_and_minke_whales_in_Antarctica_implications_for_interspecific_competition","translated_internal_url":"","created_at":"2017-05-11T09:22:54.619-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37219284,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":53087688,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53087688/thumbnails/1.jpg","file_name":"Evidence_of_resource_partitioning_and_ni20170511-3614-17x65zw.pdf","download_url":"https://www.academia.edu/attachments/53087688/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Evidence_of_resource_partitioning_and_ni.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53087688/Evidence_of_resource_partitioning_and_ni20170511-3614-17x65zw-libre.pdf?1494520312=\u0026response-content-disposition=attachment%3B+filename%3DEvidence_of_resource_partitioning_and_ni.pdf\u0026Expires=1732424533\u0026Signature=dUGn9tRMRr~nzlixwodq~FbagOBLZQtBJ-7cbLg4Oq1Wct6DkFQsw1-VZ4wIHQ14hrITeKMk5gntQX2EuRCJ1pfLJaXPGJtxAsRGWzednxsgfXsv-gu8oBwSfflrFbILUJQmb4Am6Igx12mP4hdZpxTZ1TZoi~2LFy8d1sCJRZ-yhXsdqr2tGwGHyaQOnQdPdzMQYL3b8VyDkEBpfjbZ4VmboVFeAEajq2eiXIju4iGClWOxD~0voHy5-G3WTIhxuOl3JLoAqjNIKxD4o~6SF32r7s~ocxz-q1ZbnFhllyNxg~GkB~8rZr1JSEnKJG1qebcMhyW9T8OgrhZH9YKAkA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Evidence_of_resource_partitioning_and_niche_separation_between_humpback_and_minke_whales_in_Antarctica_implications_for_interspecific_competition","translated_slug":"","page_count":37,"language":"en","content_type":"Work","owner":{"id":37219284,"first_name":"Patrick N.","middle_initials":null,"last_name":"Halpin","page_name":"PatrickNHalpin","domain_name":"independent","created_at":"2015-10-29T07:51:54.666-07:00","display_name":"Patrick N. 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Halpin</a></span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="56e9a7aa2674222da8647d9b9660953b" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":43179580,"asset_id":15455021,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/43179580/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&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="15455021"><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="15455021"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 15455021; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=15455021]").text(description); $(".js-view-count[data-work-id=15455021]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 15455021; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='15455021']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 15455021, 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: "56e9a7aa2674222da8647d9b9660953b" } } $('.js-work-strip[data-work-id=15455021]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":15455021,"title":"Integrating biological data into ocean observing systems: the future role of OBIS","translated_title":"","metadata":{"publication_date":{"day":null,"month":null,"year":2009,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/15455021/Integrating_biological_data_into_ocean_observing_systems_the_future_role_of_OBIS","translated_internal_url":"","created_at":"2015-09-06T15:19:34.831-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":34598493,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":5527042,"work_id":15455021,"tagging_user_id":34598493,"tagged_user_id":37219284,"co_author_invite_id":158815,"email":"p***n@duke.edu","display_order":0,"name":"Patrick N. 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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="32961711"><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/32961711/Pelagic_movements_of_pacific_leatherback_turtles_dermochelys_coriacea_highlight_the_role_of_prey_and_ocean_currents"><img alt="Research paper thumbnail of Pelagic movements of pacific leatherback turtles (dermochelys coriacea) highlight the role of prey and ocean currents" class="work-thumbnail" src="https://attachments.academia-assets.com/53087681/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/32961711/Pelagic_movements_of_pacific_leatherback_turtles_dermochelys_coriacea_highlight_the_role_of_prey_and_ocean_currents">Pelagic movements of pacific leatherback turtles (dermochelys coriacea) highlight the role of prey and ocean currents</a></div><div class="wp-workCard_item"><span>Movement Ecology</span><span>, 2013</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3bbd91ac37d6c0d2fe328451f61a4392" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53087681,"asset_id":32961711,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53087681/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&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="32961711"><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="32961711"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32961711; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32961711]").text(description); $(".js-view-count[data-work-id=32961711]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32961711; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='32961711']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 32961711, 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); 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However, despite numerous movement studies, the precise drivers of movement patterns in leatherbacks remain elusive. Many previous studies of leatherback turtles as well as other diving marine predators have analyzed surface movement patterns using only surface covariates. Since turtles and other marine predators spend the vast majority of their time diving under water, an analysis of movement patterns at depth should yield insight into what drives their movements. Results: We analyzed the movement paths of 15 post-nesting adult female Pacific leatherback turtles, which were caught and tagged on three nesting beaches in Mexico. The temporal length of the tracks ranged from 32 to 436 days, and the spatial distance covered ranged from 1,532 km to 13,097 km. We analyzed these tracks using a movement model designed to yield inference on the parameters driving movement. Because the telemetry data included diving depths, we extended an earlier version of the model that examined surface only movements, and here analyze movements in 3-dimensions. We tested the effect of dynamic environmental covariates from a coupled biophysical oceanographic model on patch choice in diving leatherback turtles, and compared the effects of parameters measured at the surface and at depth. The covariates included distance to future patch, temperature, salinity, meridional current velocity (current in the north-south direction), zonal current velocity (current in the east-west direction), phytoplankton density, diatom density, micro-plankton density, and meso-zooplankton density. We found significant, i.e. non-zero, correlation between movement and the parameters for oceanic covariates in 8 of the tracks. Of particular note, for one turtle we observed a lack of correlation between movements and a modeled index of zooplankton at the surface, but a significant correlation between movements and zooplankton at depth. Two of the turtles express a preference for patches at depth with elevated diatoms, and 2 turtles prefer patches with higher mezozooplankton values at depth. In contrast, 4 turtles expressed a preference for elevated zooplankton patches at the surface, but not at depth. We suggest that our understanding of a marine predator's response to the environment may change significantly depending upon the analytical frame of reference, i.e. whether relationships are examined at the surface, at depth, or at different temporal resolutions. Lastly, we tested the effects of accounting for ocean currents on the movement patterns and found that for 13 of the 15 turtles, the parameter governing distance to the next patch decreased.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"Movement Ecology","grobid_abstract_attachment_id":53087681},"translated_abstract":null,"internal_url":"https://www.academia.edu/32961711/Pelagic_movements_of_pacific_leatherback_turtles_dermochelys_coriacea_highlight_the_role_of_prey_and_ocean_currents","translated_internal_url":"","created_at":"2017-05-11T09:22:54.375-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37219284,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":53087681,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53087681/thumbnails/1.jpg","file_name":"2051-3933-1-11.pdf","download_url":"https://www.academia.edu/attachments/53087681/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Pelagic_movements_of_pacific_leatherback.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53087681/2051-3933-1-11-libre.pdf?1494520287=\u0026response-content-disposition=attachment%3B+filename%3DPelagic_movements_of_pacific_leatherback.pdf\u0026Expires=1732424533\u0026Signature=WxLnimOlgholTYdIrBbbtW1iEZ1dXuNL2lMF9HdE~ehfsi95amdgPwRQwfwgham4QV~G86DSqxGJx1mdp4ACDZPjY0gqsKAj4Cm91xmKcMH~Et3-MgXOHW6OwcKXlRM6DTJb6SnXmfaV~G322SLqOA2f4RrNPb9Wq3hOW5TyUIrMDq4A00HCsiJtWCelezEIfF82gZtkNdRHectwUpop5UFStLTaEIEhHR4sYYGyMUSYVymg33byFtaqr5GC9IHfxNKZI8U84T0CnPMl2Mb8oJeqAtuAaHbutvIS1rwoyrL~aHkj76O2h5WbmUc3iQu0kU8-tVs34wzN8ez6MmAFRg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Pelagic_movements_of_pacific_leatherback_turtles_dermochelys_coriacea_highlight_the_role_of_prey_and_ocean_currents","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":37219284,"first_name":"Patrick N.","middle_initials":null,"last_name":"Halpin","page_name":"PatrickNHalpin","domain_name":"independent","created_at":"2015-10-29T07:51:54.666-07:00","display_name":"Patrick N. 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "524e50d7442e1757252c55028d7b819a" } } $('.js-work-strip[data-work-id=32961710]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":32961710,"title":"A Census of Marine Biodiversity Knowledge, Resources, and Future Challenges","translated_title":"","metadata":{"grobid_abstract":"The Census of Marine Life (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) was the largest global research programme on marine biodiversity. This paper integrated the findings of reviews of major world regions by the Census and provides a global perspective on what is known and what are the major scientific gaps. Study metrics were regional species richness, numbers of endemic and alien species, numbers of species identification guides and taxonomic experts, and a state-ofknowledge index. The threats to biodiversity were classified across the regions. A poor to moderate correlation between species richness and seabed area, and sea volume, and no correlations with topographic variation, were attributed to sparse, uneven and unrepresentative sampling in much of the global marine environment. Many habitats have been poorly sampled, particularly in deeper seas, and several species-rich taxonomic groups, especially of smaller organisms, remain poorly studied. Crustacea, Mollusca, and Pisces comprised approximately half of all known species across the regions. The proportion that these and other taxa comprised of all taxa varied sufficiently to question whether the relative number of species within phyla and classes are constant throughout the world. Overfishing and pollution were identified as the main threats to biodiversity across all regions, followed by alien species, altered temperature, acidification, and hypoxia, although their relative importance varied among regions. The findings were replicated worldwide, in both developed and developing countries: i.e. major gaps exist in sampling effort and taxonomic expertise that impair society's ability to discover new species and identify and understand species of economic and ecological importance. There was a positive relationship between the availability of species identification guides and knowledge of biodiversity, including the number of species and alien species. Available taxonomic guides and experts correlated negatively with endemic species, suggesting that the more we study the ocean the fewer endemic species are evident. There is a need to accelerate the discovery of marine biodiversity, since much of it may be lost without even being known. We discuss how international collaboration between developed and developing countries is essential for improving productivity in the discovery and management of marine biodiversity, and how various sectors may contribute to this. Citation: Costello MJ, Coll M, Danovaro R, Halpin P, Ojaveer H, et al. (2010) A Census of Marine Biodiversity Knowledge, Resources, and Future Challenges. PLoS ONE 5(8): e12110.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"PLoS ONE","grobid_abstract_attachment_id":53087682},"translated_abstract":null,"internal_url":"https://www.academia.edu/32961710/A_Census_of_Marine_Biodiversity_Knowledge_Resources_and_Future_Challenges","translated_internal_url":"","created_at":"2017-05-11T09:22:54.244-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37219284,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":53087682,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53087682/thumbnails/1.jpg","file_name":"A_Census_of_Marine_Biodiversity_Knowledg20170511-3604-1pybnsg.pdf","download_url":"https://www.academia.edu/attachments/53087682/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_Census_of_Marine_Biodiversity_Knowledg.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53087682/A_Census_of_Marine_Biodiversity_Knowledg20170511-3604-1pybnsg-libre.pdf?1494520284=\u0026response-content-disposition=attachment%3B+filename%3DA_Census_of_Marine_Biodiversity_Knowledg.pdf\u0026Expires=1732424533\u0026Signature=JfADoZIyDwAmL9auNZ1PhtuXePTP89nozNK5I1qHlvwqfuq2c6TwhDwhSHdMrsSKLNphsu7bt2bWEgXPRSELs6M-x~C3UeBjjqkxjai~s7Q0EAcd8ZqcJFVvriKzFaROAxEkjrK5HJofGwYYOjLPXkgFSsfma261Q7nSZiMHCzQvDfojgrRHJ9Oi-uVPKB-5wgWzTdytf525U-IwBbcN9GNIPnxi2t7I1EDlFEe2uWGKAsypDTGPrTSo-rSIFwHj3PHyRgIbpmodd3ZQf~KhYBmnKu6ACoOsPlPFfJS6~b552iLjnU0q7sP~Jnx2~ZnhYih6J2s4k4yx7Do3i1HkLg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_Census_of_Marine_Biodiversity_Knowledge_Resources_and_Future_Challenges","translated_slug":"","page_count":15,"language":"en","content_type":"Work","owner":{"id":37219284,"first_name":"Patrick N.","middle_initials":null,"last_name":"Halpin","page_name":"PatrickNHalpin","domain_name":"independent","created_at":"2015-10-29T07:51:54.666-07:00","display_name":"Patrick N. 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Many animals that live in the ocean, particularly in offshore regions, are mobile in space and in time, as are most human users. Spatial management responses have typically partitioned the ocean into different regions with fixed management boundaries; in some regions a particular activity may be forbidden; in another it may be permitted but regulated; and in others it may be allowed without any regulation. In contrast, dynamic ocean management (DOM) changes in space and time in response to the shifting nature of the ocean and its users. DOM techniques have been applied in a limited number of situations around the world, notably for fisheries, to regulate or restrict the capture of a particular marine species. DOM requires scientific, technological, management, legal, and policy capacity across a range of elements. The article outlines seven of these elements and describes r...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="00074f496e3d5375260ec410bf5a9082" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53087687,"asset_id":32961709,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53087687/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&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="32961709"><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="32961709"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32961709; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32961709]").text(description); $(".js-view-count[data-work-id=32961709]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32961709; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='32961709']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 32961709, 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: "00074f496e3d5375260ec410bf5a9082" } } $('.js-work-strip[data-work-id=32961709]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":32961709,"title":"Dynamic ocean management: Integrating scientific and technological capacity with law, policy and management","translated_title":"","metadata":{"abstract":"The ocean is a dynamic environment with ocean currents and winds moving surface waters across large distances. Many animals that live in the ocean, particularly in offshore regions, are mobile in space and in time, as are most human users. Spatial management responses have typically partitioned the ocean into different regions with fixed management boundaries; in some regions a particular activity may be forbidden; in another it may be permitted but regulated; and in others it may be allowed without any regulation. In contrast, dynamic ocean management (DOM) changes in space and time in response to the shifting nature of the ocean and its users. DOM techniques have been applied in a limited number of situations around the world, notably for fisheries, to regulate or restrict the capture of a particular marine species. DOM requires scientific, technological, management, legal, and policy capacity across a range of elements. The article outlines seven of these elements and describes r..."},"translated_abstract":"The ocean is a dynamic environment with ocean currents and winds moving surface waters across large distances. Many animals that live in the ocean, particularly in offshore regions, are mobile in space and in time, as are most human users. Spatial management responses have typically partitioned the ocean into different regions with fixed management boundaries; in some regions a particular activity may be forbidden; in another it may be permitted but regulated; and in others it may be allowed without any regulation. In contrast, dynamic ocean management (DOM) changes in space and time in response to the shifting nature of the ocean and its users. DOM techniques have been applied in a limited number of situations around the world, notably for fisheries, to regulate or restrict the capture of a particular marine species. DOM requires scientific, technological, management, legal, and policy capacity across a range of elements. 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Halpin</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/Ver%C3%B3nicaFuentes4">Verónica Fuentes</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/VeroFuentes">Vero Fuentes</a></span></div><div class="wp-workCard_item"><span>PLOS ONE</span><span>, 2015</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Jellyfish outbreaks are increasingly viewed as a deterministic response to escalating levels of e...</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">Jellyfish outbreaks are increasingly viewed as a deterministic response to escalating levels of environmental degradation and climate extremes. However, a comprehensive understanding of the influence of deterministic drivers and stochastic environmental variations favouring population renewal processes has remained elusive. This study quantifies the deterministic and stochastic components of environmental change that lead to outbreaks of the jellyfish Pelagia noctiluca in the Mediterranen Sea. Using data of jellyfish abundance collected at 241 sites along the Catalan coast from 2007 to 2010 we: (1) tested hypotheses about the influence of time-varying and spatial predictors of jellyfish outbreaks; (2) evaluated the relative importance of stochastic vs. deterministic forcing of outbreaks through the environmental bootstrap method; and (3) quantified return times of extreme events. Outbreaks were common in May and June and less likely in other summer months, which resulted in a negative relationship between outbreaks and SST. Cross- and along-shore advection by geostrophic flow were important concentrating forces of jellyfish, but most outbreaks occurred in the proximity of two canyons in the northern part of the study area. This result supported the recent hypothesis that canyons can funnel P. noctiluca blooms towards shore during upwelling. This can be a general, yet unappreciated mechanism leading to outbreaks of holoplanktonic jellyfish species. The environmental bootstrap indicated that stochastic environmental fluctuations have negligible effects on return times of outbreaks. Our analysis emphasized the importance of deterministic processes leading to jellyfish outbreaks compared to the stochastic component of environmental variation. A better understanding of how environmental drivers affect demographic and population processes in jellyfish species will increase the ability to anticipate jellyfish outbreaks in the future.</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="19473722"><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="19473722"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 19473722; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=19473722]").text(description); $(".js-view-count[data-work-id=19473722]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 19473722; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='19473722']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 19473722, 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" } } $('.js-work-strip[data-work-id=19473722]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":19473722,"title":"Deterministic Factors Overwhelm Stochastic Environmental Fluctuations as Drivers of Jellyfish Outbreaks","translated_title":"","metadata":{"abstract":"Jellyfish outbreaks are increasingly viewed as a deterministic response to escalating levels of environmental degradation and climate extremes. However, a comprehensive understanding of the influence of deterministic drivers and stochastic environmental variations favouring population renewal processes has remained elusive. This study quantifies the deterministic and stochastic components of environmental change that lead to outbreaks of the jellyfish Pelagia noctiluca in the Mediterranen Sea. Using data of jellyfish abundance collected at 241 sites along the Catalan coast from 2007 to 2010 we: (1) tested hypotheses about the influence of time-varying and spatial predictors of jellyfish outbreaks; (2) evaluated the relative importance of stochastic vs. deterministic forcing of outbreaks through the environmental bootstrap method; and (3) quantified return times of extreme events. Outbreaks were common in May and June and less likely in other summer months, which resulted in a negative relationship between outbreaks and SST. Cross- and along-shore advection by geostrophic flow were important concentrating forces of jellyfish, but most outbreaks occurred in the proximity of two canyons in the northern part of the study area. This result supported the recent hypothesis that canyons can funnel P. noctiluca blooms towards shore during upwelling. This can be a general, yet unappreciated mechanism leading to outbreaks of holoplanktonic jellyfish species. The environmental bootstrap indicated that stochastic environmental fluctuations have negligible effects on return times of outbreaks. Our analysis emphasized the importance of deterministic processes leading to jellyfish outbreaks compared to the stochastic component of environmental variation. A better understanding of how environmental drivers affect demographic and population processes in jellyfish species will increase the ability to anticipate jellyfish outbreaks in the future.","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"PLOS ONE"},"translated_abstract":"Jellyfish outbreaks are increasingly viewed as a deterministic response to escalating levels of environmental degradation and climate extremes. However, a comprehensive understanding of the influence of deterministic drivers and stochastic environmental variations favouring population renewal processes has remained elusive. This study quantifies the deterministic and stochastic components of environmental change that lead to outbreaks of the jellyfish Pelagia noctiluca in the Mediterranen Sea. Using data of jellyfish abundance collected at 241 sites along the Catalan coast from 2007 to 2010 we: (1) tested hypotheses about the influence of time-varying and spatial predictors of jellyfish outbreaks; (2) evaluated the relative importance of stochastic vs. deterministic forcing of outbreaks through the environmental bootstrap method; and (3) quantified return times of extreme events. Outbreaks were common in May and June and less likely in other summer months, which resulted in a negative relationship between outbreaks and SST. Cross- and along-shore advection by geostrophic flow were important concentrating forces of jellyfish, but most outbreaks occurred in the proximity of two canyons in the northern part of the study area. This result supported the recent hypothesis that canyons can funnel P. noctiluca blooms towards shore during upwelling. This can be a general, yet unappreciated mechanism leading to outbreaks of holoplanktonic jellyfish species. The environmental bootstrap indicated that stochastic environmental fluctuations have negligible effects on return times of outbreaks. Our analysis emphasized the importance of deterministic processes leading to jellyfish outbreaks compared to the stochastic component of environmental variation. A better understanding of how environmental drivers affect demographic and population processes in jellyfish species will increase the ability to anticipate jellyfish outbreaks in the future.","internal_url":"https://www.academia.edu/19473722/Deterministic_Factors_Overwhelm_Stochastic_Environmental_Fluctuations_as_Drivers_of_Jellyfish_Outbreaks","translated_internal_url":"","created_at":"2015-12-04T10:17:33.729-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":39688867,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[{"id":11711954,"work_id":19473722,"tagging_user_id":39688867,"tagged_user_id":null,"co_author_invite_id":654054,"email":"l***i@unipi.it","display_order":0,"name":"Lisandro Benedetti-Cecchi","title":"Deterministic Factors Overwhelm Stochastic Environmental Fluctuations as Drivers of Jellyfish Outbreaks"},{"id":11711955,"work_id":19473722,"tagging_user_id":39688867,"tagged_user_id":null,"co_author_invite_id":897937,"email":"p***j@cc.wwu.edu","display_order":4194304,"name":"Jennifer Purcell","title":"Deterministic Factors Overwhelm Stochastic Environmental Fluctuations as Drivers of Jellyfish Outbreaks"},{"id":11711957,"work_id":19473722,"tagging_user_id":39688867,"tagged_user_id":null,"co_author_invite_id":897936,"email":"p***3@wwu.edu","display_order":6291456,"name":"J Purcell","title":"Deterministic Factors Overwhelm Stochastic Environmental Fluctuations as Drivers of Jellyfish Outbreaks"},{"id":11711958,"work_id":19473722,"tagging_user_id":39688867,"tagged_user_id":null,"co_author_invite_id":2752120,"email":"p***l@hpl.umces.edu","display_order":7340032,"name":"Jennifer Purcell","title":"Deterministic Factors Overwhelm Stochastic Environmental Fluctuations as Drivers of Jellyfish Outbreaks"},{"id":11711960,"work_id":19473722,"tagging_user_id":39688867,"tagged_user_id":39751539,"co_author_invite_id":230378,"email":"l***i@biologia.unipi.it","display_order":7864320,"name":"Lisandro Benedetti-Cecchi","title":"Deterministic Factors Overwhelm Stochastic Environmental Fluctuations as Drivers of Jellyfish Outbreaks"},{"id":11711961,"work_id":19473722,"tagging_user_id":39688867,"tagged_user_id":null,"co_author_invite_id":654075,"email":"l***o@biologia.unipi.it","display_order":8126464,"name":"Laura Tamburello","title":"Deterministic Factors Overwhelm Stochastic Environmental Fluctuations as Drivers of Jellyfish Outbreaks"},{"id":11711962,"work_id":19473722,"tagging_user_id":39688867,"tagged_user_id":null,"co_author_invite_id":1841096,"email":"f***o@unisalento.it","display_order":8257536,"name":"Ferdinando Boero","title":"Deterministic Factors Overwhelm Stochastic Environmental Fluctuations as Drivers of Jellyfish Outbreaks"},{"id":11711965,"work_id":19473722,"tagging_user_id":39688867,"tagged_user_id":32247056,"co_author_invite_id":null,"email":"j***s@duke.edu","display_order":8355840,"name":"Jason Roberts","title":"Deterministic Factors Overwhelm Stochastic Environmental Fluctuations as Drivers of Jellyfish Outbreaks"},{"id":11711967,"work_id":19473722,"tagging_user_id":39688867,"tagged_user_id":37219284,"co_author_invite_id":null,"email":"p***n@duke.edu","display_order":8372224,"name":"Patrick N. 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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="32961723"><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/32961723/Prey_fields_and_habitats_of_deep_diving_odontocetes_3d_characterization_and_modeling_of_beaked_and_sperm_whale_foraging_areas_in_the_Tongue_of_the_Ocean"><img alt="Research paper thumbnail of Prey fields and habitats of deep diving odontocetes: 3d characterization and modeling of beaked and sperm whale foraging areas in the Tongue of the Ocean" class="work-thumbnail" src="https://attachments.academia-assets.com/53087692/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/32961723/Prey_fields_and_habitats_of_deep_diving_odontocetes_3d_characterization_and_modeling_of_beaked_and_sperm_whale_foraging_areas_in_the_Tongue_of_the_Ocean">Prey fields and habitats of deep diving odontocetes: 3d characterization and modeling of beaked and sperm whale foraging areas in the Tongue of the Ocean</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3f7ad14adeb684910f8f2057350f02f5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53087692,"asset_id":32961723,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53087692/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&st=MTczMjQyMDkzMiw4LjIyMi4yMDguMTQ2&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="32961723"><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="32961723"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32961723; 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Halpin</a></span></div><div class="wp-workCard_item"><span>Geoinformatica</span><span>, 2001</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">As detailed terrain data becomes available, GIS terrain applications target larger geographic are...</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">As detailed terrain data becomes available, GIS terrain applications target larger geographic areas at ner resolutions. Processing the massive data involved in such applications presents signicant challenges to GIS systems and demands algorithms that are optimized for both data movement and computation. 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To maintain their utility, Gulf of Mexico BIAs should be re-evaluated and revised, if necessary, as new information becomes available.","grobid_abstract_attachment_id":53087694},"translated_abstract":null,"internal_url":"https://www.academia.edu/32961719/AM_41_1_Gulf_of_Mexico","translated_internal_url":"","created_at":"2017-05-11T09:22:55.800-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37219284,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":53087694,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53087694/thumbnails/1.jpg","file_name":"AM_41.1_Gulf_of_Mexico20170511-3604-nxs4bb.pdf","download_url":"https://www.academia.edu/attachments/53087694/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&st=MTczMjQyMDkzMiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"AM_41_1_Gulf_of_Mexico.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53087694/AM_41.1_Gulf_of_Mexico20170511-3604-nxs4bb-libre.pdf?1494520272=\u0026response-content-disposition=attachment%3B+filename%3DAM_41_1_Gulf_of_Mexico.pdf\u0026Expires=1732424532\u0026Signature=BQhDWgJaVBraHArz551noNHMbZLr--gzgjSB1IDAjwVVNOs6m~wwOiYh13etVcdCtE2f9LzFAyiJy0BGu7iyWydjP7FBYfoTWeahuyeOulnphXDtqzFzec4QUJhjxPVrLbYaPD6ddQ0eTONVvySFZG-dmswGF~pANda2DGJ1F8RomMIkC~Z~lSgRVAJS0IKEP3i9GfaSd6mVVuvkxHfvt0QjvWlk9aiZ-kTSkpbRBX7WJ0lt-RFBDPk1Tq69TxUzer0FJeZ8rWm7TgwxcKsgrrLqr283MtrvNrMy-MimHYpr7hJtstkhrRd7QhnqiZEpn2rWGVVmXQ0nT1gfY5RSLQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"AM_41_1_Gulf_of_Mexico","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":37219284,"first_name":"Patrick N.","middle_initials":null,"last_name":"Halpin","page_name":"PatrickNHalpin","domain_name":"independent","created_at":"2015-10-29T07:51:54.666-07:00","display_name":"Patrick N. 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These whales acquire their annual energetic needs during an episodic feeding season in high latitude waters that must sustain long-distance migration and fasting on low-latitude breeding grounds. Antarctic krill are broadly distributed along the continental shelf and nearshore waters during the spring and early summer, and move closer to land during late summer and fall, where they overwinter under the protective and nutritional cover of sea ice. We apply a novel space-time utilization distribution method to test the hypothesis that humpback whale distribution reflects that of krill: spread broadly during summer with increasing proximity to shore and associated embayments during fall. Humpback whales instrumented with satellite-linked positional telemetry tags (n = 5), show decreased home range size, amount of ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="24c7603d0bab19c70f0747590b8ba70f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53087691,"asset_id":32961718,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53087691/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&st=MTczMjQyMDkzMiw4LjIyMi4yMDguMTQ2&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="32961718"><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="32961718"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32961718; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32961718]").text(description); $(".js-view-count[data-work-id=32961718]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32961718; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='32961718']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 32961718, 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: "24c7603d0bab19c70f0747590b8ba70f" } } $('.js-work-strip[data-work-id=32961718]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":32961718,"title":"Modeling the spatial and temporal dynamics of foraging movements of humpback whales (Megaptera novaeangliae) in the Western Antarctic Peninsula","translated_title":"","metadata":{"abstract":"A population of humpback whales (Megaptera novaeangliae) spends the austral summer feeding on Antarctic krill (Euphausia superba) along the Western Antarctic Peninsula (WAP). These whales acquire their annual energetic needs during an episodic feeding season in high latitude waters that must sustain long-distance migration and fasting on low-latitude breeding grounds. Antarctic krill are broadly distributed along the continental shelf and nearshore waters during the spring and early summer, and move closer to land during late summer and fall, where they overwinter under the protective and nutritional cover of sea ice. We apply a novel space-time utilization distribution method to test the hypothesis that humpback whale distribution reflects that of krill: spread broadly during summer with increasing proximity to shore and associated embayments during fall. Humpback whales instrumented with satellite-linked positional telemetry tags (n = 5), show decreased home range size, amount of ...","publication_date":{"day":null,"month":null,"year":2015,"errors":{}},"publication_name":"Movement ecology"},"translated_abstract":"A population of humpback whales (Megaptera novaeangliae) spends the austral summer feeding on Antarctic krill (Euphausia superba) along the Western Antarctic Peninsula (WAP). These whales acquire their annual energetic needs during an episodic feeding season in high latitude waters that must sustain long-distance migration and fasting on low-latitude breeding grounds. Antarctic krill are broadly distributed along the continental shelf and nearshore waters during the spring and early summer, and move closer to land during late summer and fall, where they overwinter under the protective and nutritional cover of sea ice. We apply a novel space-time utilization distribution method to test the hypothesis that humpback whale distribution reflects that of krill: spread broadly during summer with increasing proximity to shore and associated embayments during fall. Humpback whales instrumented with satellite-linked positional telemetry tags (n = 5), show decreased home range size, amount of ...","internal_url":"https://www.academia.edu/32961718/Modeling_the_spatial_and_temporal_dynamics_of_foraging_movements_of_humpback_whales_Megaptera_novaeangliae_in_the_Western_Antarctic_Peninsula","translated_internal_url":"","created_at":"2017-05-11T09:22:55.689-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37219284,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":53087691,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53087691/thumbnails/1.jpg","file_name":"Modeling_the_spatial_and_temporal_dynami20170511-3604-52qc38.pdf","download_url":"https://www.academia.edu/attachments/53087691/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&st=MTczMjQyMDkzMiw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Modeling_the_spatial_and_temporal_dynami.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53087691/Modeling_the_spatial_and_temporal_dynami20170511-3604-52qc38-libre.pdf?1494520279=\u0026response-content-disposition=attachment%3B+filename%3DModeling_the_spatial_and_temporal_dynami.pdf\u0026Expires=1732424532\u0026Signature=H8DCBec-jiRQT8PJTFhHjHubtEF9mUXAUuXPufHhY4IONzajQpaxLKPUJxb3pzZW6RxEQnYPwjfI5gup2xjK9woTHcckrrbm2ufX3nopuML~t29fSwYpWtdAo10Wk95jG6bKqNgKZc4wRFEq4GF~aRmtR4S8gOeVvA~lrSsn6wALiW4gQU4Rc74K2wFsfl4lgq6zr4HtyhcARVkKIZBL94160JW0q2UD9pS1s0Ubwv6cdGgrvSxWcCKNXQ4JYJLV4mXyP762uxZTBqTYmHk1Bfh4X2s3VZB21mnR52zDPCIjQV~zbiK9A1TIQmHSTfWXBKVbRqw-zvu8mCpwfdkEQQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Modeling_the_spatial_and_temporal_dynamics_of_foraging_movements_of_humpback_whales_Megaptera_novaeangliae_in_the_Western_Antarctic_Peninsula","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":37219284,"first_name":"Patrick N.","middle_initials":null,"last_name":"Halpin","page_name":"PatrickNHalpin","domain_name":"independent","created_at":"2015-10-29T07:51:54.666-07:00","display_name":"Patrick N. 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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="32961717"><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/32961717/The_influence_of_biophysical_ocean_conditions_on_dolphinfish_Coryphaena_hippurus_commercial_and_recreational_catch_in_the_U_S_Atlantic_fishery"><img alt="Research paper thumbnail of The influence of biophysical ocean conditions on dolphinfish (Coryphaena hippurus) commercial and recreational catch in the U.S. Atlantic fishery" class="work-thumbnail" src="https://attachments.academia-assets.com/53087701/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/32961717/The_influence_of_biophysical_ocean_conditions_on_dolphinfish_Coryphaena_hippurus_commercial_and_recreational_catch_in_the_U_S_Atlantic_fishery">The influence of biophysical ocean conditions on dolphinfish (Coryphaena hippurus) commercial and recreational catch in the U.S. Atlantic fishery</a></div><div class="wp-workCard_item"><span>Canadian Journal of Fisheries and Aquatic Sciences</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="eae2807d539a04ab8d80a825adb2a9fd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53087701,"asset_id":32961717,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53087701/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&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="32961717"><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="32961717"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32961717; 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A zero-inflated negative binomial model was fit using a variety of oceanographic variables to better understand distribution and abundance. The two most important dynamic oceanographic variables were sea surface temperature and chlorophyll-a concentration. We also used catch and release locations of dolphinfish caught by recreational fishermen (2002)(2003)(2004)(2005)(2006)(2007) to compare conditions between datasets and for model evaluation. Dolphinfish CPUE was highest at 22-25 • C with a peak at 24 • C for the longline dataset, while recreational dolphinfish were caught in waters \u003e19 • C with peak catches occurring at 27 • C. Dolphinfish CPUE was highest when chlorophyll-a concentration was \u003c0.2 mg m −3 , and the majority of recreational dolphinfish were captured in waters \u003c0.1 mg m −3 with a peak at 0.02 mg m −3 . We also found that a majority (73.26%) of recreational dolphinfish were caught in association with Sargassum spp., and larger dolphinfish (\u003e82.3 cm FL) are caught more frequently outside of the floating mats.","publication_name":"Canadian Journal of Fisheries and Aquatic Sciences","grobid_abstract_attachment_id":53087701},"translated_abstract":null,"internal_url":"https://www.academia.edu/32961717/The_influence_of_biophysical_ocean_conditions_on_dolphinfish_Coryphaena_hippurus_commercial_and_recreational_catch_in_the_U_S_Atlantic_fishery","translated_internal_url":"","created_at":"2017-05-11T09:22:55.545-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37219284,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":53087701,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53087701/thumbnails/1.jpg","file_name":"The_influence_of_biophysical_ocean_condi20170511-3604-ihjxit.pdf","download_url":"https://www.academia.edu/attachments/53087701/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_influence_of_biophysical_ocean_condi.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53087701/The_influence_of_biophysical_ocean_condi20170511-3604-ihjxit-libre.pdf?1494520440=\u0026response-content-disposition=attachment%3B+filename%3DThe_influence_of_biophysical_ocean_condi.pdf\u0026Expires=1732424532\u0026Signature=GX7EBskh0PIJrbv4rnVgMbLbY0infWWPMjMAUBg0seAxKQkAUd8tn2t9H4Q-t2vvfvVSQS2c9pNFIHBLCsW7Oob1b0plMew3kfQ8GZ4T6pu7wzQ8PAHTBI2Uo7yz5ygxAE28I-BedWh9YaZyN1w-olDGziC6DAwme04hJCJJ5BrqYVZJQKLJxfSJccFBt~ugaJDGGNsQp8kfnq~K5KP~n7OOJT9~RscS~v2vMkuW9U7Exh1Ck3L0t-0AHZKSSBWWUD-JJgV6T8cAOjim548i1n8t5QfR6jlkhfEIS4xow7SEx4mC29RffqYavaEIxf3Pv4RUNKd0dg0ITJSoMPZ7qA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_influence_of_biophysical_ocean_conditions_on_dolphinfish_Coryphaena_hippurus_commercial_and_recreational_catch_in_the_U_S_Atlantic_fishery","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":37219284,"first_name":"Patrick N.","middle_initials":null,"last_name":"Halpin","page_name":"PatrickNHalpin","domain_name":"independent","created_at":"2015-10-29T07:51:54.666-07:00","display_name":"Patrick N. 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Biologically Important Areas for Cetaceans Within U.S. Waters – East Coast Region" class="work-thumbnail" src="https://attachments.academia-assets.com/53087693/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/32961716/2_Biologically_Important_Areas_for_Cetaceans_Within_U_S_Waters_East_Coast_Region">2. Biologically Important Areas for Cetaceans Within U.S. Waters – East Coast Region</a></div><div class="wp-workCard_item"><span>Aquatic Mammals</span><span>, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c6cb2f5a35dd9043c37c8035d6307bb2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53087693,"asset_id":32961716,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53087693/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&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="32961716"><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="32961716"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32961716; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32961716]").text(description); $(".js-view-count[data-work-id=32961716]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32961716; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='32961716']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 32961716, 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: "c6cb2f5a35dd9043c37c8035d6307bb2" } } $('.js-work-strip[data-work-id=32961716]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":32961716,"title":"2. Biologically Important Areas for Cetaceans Within U.S. Waters – East Coast Region","translated_title":"","metadata":{"grobid_abstract":"In this review, we merge existing published and unpublished information along with expert judgment to identify and support the delineation of 18 Biologically Important Areas (BIAs) in U.S. waters along the East Coast for minke whales, sei whales, fin whales, North Atlantic right whales, humpback whales, harbor porpoises, and bottlenose dolphins. BIAs are delineated for feeding areas, reproductive areas, migratory corridors, and small and resident populations to enhance existing information already available to scientists, managers, policymakers, and the public. BIAs ranged in size from approximately 152 to 270,000 km 2 . They are intended to provide synthesized information in a transparent format that can be readily used toward the analyses and planning under U.S. statutes that require the characterization and minimization of impacts of anthropogenic activities on marine mammals. BIAs are not intended to represent all important areas for consideration in planning processes; in particular, areas of high marine mammal density, typically identified based on a combination of systematic visual and/or acoustic detections coupled with quantitative modeling, are very important to consider, where available, in any assessment. 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Richardson, and Patrick N. Halpin 8.1...</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">... on Everglades Tree Islands Kirsten Hofmockel, Curtis J. Richardson, and Patrick N. Halpin 8.1 Introduction ... More recent studies of the origin, classification, and ecology of tree islands were presented in an excellent volume by Sklar and van der Valk (2002). ...</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="32961715"><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="32961715"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32961715; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32961715]").text(description); $(".js-view-count[data-work-id=32961715]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32961715; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='32961715']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 32961715, 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" } } $('.js-work-strip[data-work-id=32961715]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":32961715,"title":"Effects of Hydrologic Management Decisions on Everglades Tree Islands","translated_title":"","metadata":{"abstract":"... on Everglades Tree Islands Kirsten Hofmockel, Curtis J. 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Body size and energetic models suggest smaller whales should target shallower, smaller, denser, prey aggregations than larger whales. The large sympatric pre-whaling Antarctic cetacean community suggests resource partitioning or non-limiting resources. We use Mantel's tests to elucidate physical and biological environmental variables affecting minke and humpback whale distribution patterns. We find distribution of both species most related to prey distribution, and species-specific differences in physical features which may aggregate prey or help determine ice free areas during winter. CART models including concurrent measurements of acoustically inferred prey aggregations show smaller minke whales consistently associating with significantly deeper krill aggregations across a range of spatial scales. Furthermore, we find evidence of minke whales targeting patches with larger individual krill and smaller aggregation area than humpback whales. These results indicate possible resource partitioning and niche separation mediated by food preferences and the biomechanics of body size, suggesting inter-specific competition is unlikely. Given accelerating rates of climate change around the Antarctic Peninsula, and the ecological importance of baleen whales still recovering from exploitation, our results can benefit organizations managing and conserving Antarctic cetaceans and ecosystems.","grobid_abstract_attachment_id":53087688},"translated_abstract":null,"internal_url":"https://www.academia.edu/32961712/Evidence_of_resource_partitioning_and_niche_separation_between_humpback_and_minke_whales_in_Antarctica_implications_for_interspecific_competition","translated_internal_url":"","created_at":"2017-05-11T09:22:54.619-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37219284,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":53087688,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53087688/thumbnails/1.jpg","file_name":"Evidence_of_resource_partitioning_and_ni20170511-3614-17x65zw.pdf","download_url":"https://www.academia.edu/attachments/53087688/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Evidence_of_resource_partitioning_and_ni.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53087688/Evidence_of_resource_partitioning_and_ni20170511-3614-17x65zw-libre.pdf?1494520312=\u0026response-content-disposition=attachment%3B+filename%3DEvidence_of_resource_partitioning_and_ni.pdf\u0026Expires=1732424533\u0026Signature=dUGn9tRMRr~nzlixwodq~FbagOBLZQtBJ-7cbLg4Oq1Wct6DkFQsw1-VZ4wIHQ14hrITeKMk5gntQX2EuRCJ1pfLJaXPGJtxAsRGWzednxsgfXsv-gu8oBwSfflrFbILUJQmb4Am6Igx12mP4hdZpxTZ1TZoi~2LFy8d1sCJRZ-yhXsdqr2tGwGHyaQOnQdPdzMQYL3b8VyDkEBpfjbZ4VmboVFeAEajq2eiXIju4iGClWOxD~0voHy5-G3WTIhxuOl3JLoAqjNIKxD4o~6SF32r7s~ocxz-q1ZbnFhllyNxg~GkB~8rZr1JSEnKJG1qebcMhyW9T8OgrhZH9YKAkA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Evidence_of_resource_partitioning_and_niche_separation_between_humpback_and_minke_whales_in_Antarctica_implications_for_interspecific_competition","translated_slug":"","page_count":37,"language":"en","content_type":"Work","owner":{"id":37219284,"first_name":"Patrick N.","middle_initials":null,"last_name":"Halpin","page_name":"PatrickNHalpin","domain_name":"independent","created_at":"2015-10-29T07:51:54.666-07:00","display_name":"Patrick N. 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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="32961711"><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/32961711/Pelagic_movements_of_pacific_leatherback_turtles_dermochelys_coriacea_highlight_the_role_of_prey_and_ocean_currents"><img alt="Research paper thumbnail of Pelagic movements of pacific leatherback turtles (dermochelys coriacea) highlight the role of prey and ocean currents" class="work-thumbnail" src="https://attachments.academia-assets.com/53087681/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/32961711/Pelagic_movements_of_pacific_leatherback_turtles_dermochelys_coriacea_highlight_the_role_of_prey_and_ocean_currents">Pelagic movements of pacific leatherback turtles (dermochelys coriacea) highlight the role of prey and ocean currents</a></div><div class="wp-workCard_item"><span>Movement Ecology</span><span>, 2013</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3bbd91ac37d6c0d2fe328451f61a4392" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53087681,"asset_id":32961711,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53087681/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&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="32961711"><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="32961711"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32961711; 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However, despite numerous movement studies, the precise drivers of movement patterns in leatherbacks remain elusive. Many previous studies of leatherback turtles as well as other diving marine predators have analyzed surface movement patterns using only surface covariates. Since turtles and other marine predators spend the vast majority of their time diving under water, an analysis of movement patterns at depth should yield insight into what drives their movements. Results: We analyzed the movement paths of 15 post-nesting adult female Pacific leatherback turtles, which were caught and tagged on three nesting beaches in Mexico. The temporal length of the tracks ranged from 32 to 436 days, and the spatial distance covered ranged from 1,532 km to 13,097 km. We analyzed these tracks using a movement model designed to yield inference on the parameters driving movement. Because the telemetry data included diving depths, we extended an earlier version of the model that examined surface only movements, and here analyze movements in 3-dimensions. We tested the effect of dynamic environmental covariates from a coupled biophysical oceanographic model on patch choice in diving leatherback turtles, and compared the effects of parameters measured at the surface and at depth. The covariates included distance to future patch, temperature, salinity, meridional current velocity (current in the north-south direction), zonal current velocity (current in the east-west direction), phytoplankton density, diatom density, micro-plankton density, and meso-zooplankton density. We found significant, i.e. non-zero, correlation between movement and the parameters for oceanic covariates in 8 of the tracks. Of particular note, for one turtle we observed a lack of correlation between movements and a modeled index of zooplankton at the surface, but a significant correlation between movements and zooplankton at depth. Two of the turtles express a preference for patches at depth with elevated diatoms, and 2 turtles prefer patches with higher mezozooplankton values at depth. In contrast, 4 turtles expressed a preference for elevated zooplankton patches at the surface, but not at depth. We suggest that our understanding of a marine predator's response to the environment may change significantly depending upon the analytical frame of reference, i.e. whether relationships are examined at the surface, at depth, or at different temporal resolutions. Lastly, we tested the effects of accounting for ocean currents on the movement patterns and found that for 13 of the 15 turtles, the parameter governing distance to the next patch decreased.","publication_date":{"day":null,"month":null,"year":2013,"errors":{}},"publication_name":"Movement Ecology","grobid_abstract_attachment_id":53087681},"translated_abstract":null,"internal_url":"https://www.academia.edu/32961711/Pelagic_movements_of_pacific_leatherback_turtles_dermochelys_coriacea_highlight_the_role_of_prey_and_ocean_currents","translated_internal_url":"","created_at":"2017-05-11T09:22:54.375-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":37219284,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":53087681,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/53087681/thumbnails/1.jpg","file_name":"2051-3933-1-11.pdf","download_url":"https://www.academia.edu/attachments/53087681/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Pelagic_movements_of_pacific_leatherback.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/53087681/2051-3933-1-11-libre.pdf?1494520287=\u0026response-content-disposition=attachment%3B+filename%3DPelagic_movements_of_pacific_leatherback.pdf\u0026Expires=1732424533\u0026Signature=WxLnimOlgholTYdIrBbbtW1iEZ1dXuNL2lMF9HdE~ehfsi95amdgPwRQwfwgham4QV~G86DSqxGJx1mdp4ACDZPjY0gqsKAj4Cm91xmKcMH~Et3-MgXOHW6OwcKXlRM6DTJb6SnXmfaV~G322SLqOA2f4RrNPb9Wq3hOW5TyUIrMDq4A00HCsiJtWCelezEIfF82gZtkNdRHectwUpop5UFStLTaEIEhHR4sYYGyMUSYVymg33byFtaqr5GC9IHfxNKZI8U84T0CnPMl2Mb8oJeqAtuAaHbutvIS1rwoyrL~aHkj76O2h5WbmUc3iQu0kU8-tVs34wzN8ez6MmAFRg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Pelagic_movements_of_pacific_leatherback_turtles_dermochelys_coriacea_highlight_the_role_of_prey_and_ocean_currents","translated_slug":"","page_count":14,"language":"en","content_type":"Work","owner":{"id":37219284,"first_name":"Patrick N.","middle_initials":null,"last_name":"Halpin","page_name":"PatrickNHalpin","domain_name":"independent","created_at":"2015-10-29T07:51:54.666-07:00","display_name":"Patrick N. 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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="32961710"><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/32961710/A_Census_of_Marine_Biodiversity_Knowledge_Resources_and_Future_Challenges"><img alt="Research paper thumbnail of A Census of Marine Biodiversity Knowledge, Resources, and Future Challenges" class="work-thumbnail" src="https://attachments.academia-assets.com/53087682/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/32961710/A_Census_of_Marine_Biodiversity_Knowledge_Resources_and_Future_Challenges">A Census of Marine Biodiversity Knowledge, Resources, and Future Challenges</a></div><div class="wp-workCard_item"><span>PLoS ONE</span><span>, 2010</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="524e50d7442e1757252c55028d7b819a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":53087682,"asset_id":32961710,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/53087682/download_file?st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&st=MTczMjQyMDkzMyw4LjIyMi4yMDguMTQ2&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="32961710"><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="32961710"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 32961710; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=32961710]").text(description); $(".js-view-count[data-work-id=32961710]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 32961710; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='32961710']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 32961710, 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: "524e50d7442e1757252c55028d7b819a" } } $('.js-work-strip[data-work-id=32961710]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":32961710,"title":"A Census of Marine Biodiversity Knowledge, Resources, and Future Challenges","translated_title":"","metadata":{"grobid_abstract":"The Census of Marine Life (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) was the largest global research programme on marine biodiversity. This paper integrated the findings of reviews of major world regions by the Census and provides a global perspective on what is known and what are the major scientific gaps. Study metrics were regional species richness, numbers of endemic and alien species, numbers of species identification guides and taxonomic experts, and a state-ofknowledge index. The threats to biodiversity were classified across the regions. A poor to moderate correlation between species richness and seabed area, and sea volume, and no correlations with topographic variation, were attributed to sparse, uneven and unrepresentative sampling in much of the global marine environment. Many habitats have been poorly sampled, particularly in deeper seas, and several species-rich taxonomic groups, especially of smaller organisms, remain poorly studied. Crustacea, Mollusca, and Pisces comprised approximately half of all known species across the regions. The proportion that these and other taxa comprised of all taxa varied sufficiently to question whether the relative number of species within phyla and classes are constant throughout the world. Overfishing and pollution were identified as the main threats to biodiversity across all regions, followed by alien species, altered temperature, acidification, and hypoxia, although their relative importance varied among regions. The findings were replicated worldwide, in both developed and developing countries: i.e. major gaps exist in sampling effort and taxonomic expertise that impair society's ability to discover new species and identify and understand species of economic and ecological importance. There was a positive relationship between the availability of species identification guides and knowledge of biodiversity, including the number of species and alien species. Available taxonomic guides and experts correlated negatively with endemic species, suggesting that the more we study the ocean the fewer endemic species are evident. There is a need to accelerate the discovery of marine biodiversity, since much of it may be lost without even being known. We discuss how international collaboration between developed and developing countries is essential for improving productivity in the discovery and management of marine biodiversity, and how various sectors may contribute to this. Citation: Costello MJ, Coll M, Danovaro R, Halpin P, Ojaveer H, et al. (2010) A Census of Marine Biodiversity Knowledge, Resources, and Future Challenges. 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Many animals that live in the ocean, particularly in offshore regions, are mobile in space and in time, as are most human users. Spatial management responses have typically partitioned the ocean into different regions with fixed management boundaries; in some regions a particular activity may be forbidden; in another it may be permitted but regulated; and in others it may be allowed without any regulation. In contrast, dynamic ocean management (DOM) changes in space and time in response to the shifting nature of the ocean and its users. DOM techniques have been applied in a limited number of situations around the world, notably for fisheries, to regulate or restrict the capture of a particular marine species. DOM requires scientific, technological, management, legal, and policy capacity across a range of elements. 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