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class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Francine Kershaw" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/425612/678578/842057/s200_francine.kershaw.png" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Francine Kershaw</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://columbia.academia.edu/">Columbia University</a>, <a class="u-tcGrayDarker" href="https://columbia.academia.edu/Departments/Ecology_Evolution_and_Environmental_Biology/Documents">Ecology, Evolution and Environmental Biology</a>, <span class="u-tcGrayDarker">Alumna</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" 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class="label">Following</p><p class="data">19</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">Graduated May 2015.<br /><div class="js-profile-less-about u-linkUnstyled u-tcGrayDarker u-textDecorationUnderline u-displayNone">less</div></div></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span><a class="ri-more-link js-profile-ri-list-card" data-click-track="profile-user-info-primary-research-interest" data-has-card-for-ri-list="425612">View All (14)</a></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="425612" 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</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="nav-container backbone-profile-documents-nav hidden-xs"><ul class="nav-tablist" role="tablist"><li class="nav-chip active" role="presentation"><a data-section-name="" data-toggle="tab" href="#all" role="tab">all</a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Scientific-Publications" data-toggle="tab" href="#scientificpublications" role="tab" title="Scientific Publications"><span>10</span> <span class="ds2-5-body-sm-bold">Scientific Publications</span></a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" 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Endangered Species Research, 32, 551-567."},"translated_abstract":null,"internal_url":"https://www.academia.edu/4191346/First_circumglobal_assessment_of_humpback_whale_mitochondrial_genetic_variation_at_multiple_scales_and_implications_for_management","translated_internal_url":"","created_at":"2013-08-07T06:51:04.184-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"First_circumglobal_assessment_of_humpback_whale_mitochondrial_genetic_variation_at_multiple_scales_and_implications_for_management","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[],"urls":[{"id":8406067,"url":"http://www.int-res.com/abstracts/esr/v32/p551-567/"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="8366246"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/8366246/Multiple_processes_drive_genetic_structure_of_humpback_whale_Megaptera_novaeangliae_populations_across_spatial_scales"><img alt="Research paper thumbnail of Multiple processes drive genetic structure of humpback whale (Megaptera novaeangliae) populations across spatial scales." class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/8366246/Multiple_processes_drive_genetic_structure_of_humpback_whale_Megaptera_novaeangliae_populations_across_spatial_scales">Multiple processes drive genetic structure of humpback whale (Megaptera novaeangliae) populations across spatial scales.</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="8366246"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="8366246"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8366246; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8366246]").text(description); $(".js-view-count[data-work-id=8366246]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8366246; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='8366246']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 8366246, 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" } } $('.js-work-strip[data-work-id=8366246]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":8366246,"title":"Multiple processes drive genetic structure of humpback whale (Megaptera novaeangliae) populations across spatial scales.","translated_title":"","metadata":{"more_info":"Kershaw, F., Carvalho, I., Loo, J., Pomilla, C., Best, P., Findlay, K.P., et al. Multiple processes drive genetic structure of humpback whale (Megaptera novaeangliae) populations across spatial scales. Molecular Ecology, 26(4), 977-994."},"translated_abstract":null,"internal_url":"https://www.academia.edu/8366246/Multiple_processes_drive_genetic_structure_of_humpback_whale_Megaptera_novaeangliae_populations_across_spatial_scales","translated_internal_url":"","created_at":"2014-09-17T04:44:35.427-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Multiple_processes_drive_genetic_structure_of_humpback_whale_Megaptera_novaeangliae_populations_across_spatial_scales","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics"},{"id":7805,"name":"Marine Conservation","url":"https://www.academia.edu/Documents/in/Marine_Conservation"},{"id":783632,"name":"Highly migratory species","url":"https://www.academia.edu/Documents/in/Highly_migratory_species"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="23824049"><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/23824049/Understanding_the_evolution_of_two_species_of_highly_migratory_cetacean_at_multiple_scales_and_the_potential_value_of_a_mechanistic_approach"><img alt="Research paper thumbnail of Understanding the evolution of two species of highly migratory cetacean at multiple scales and the potential value of a mechanistic approach" 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/23824049/Understanding_the_evolution_of_two_species_of_highly_migratory_cetacean_at_multiple_scales_and_the_potential_value_of_a_mechanistic_approach">Understanding the evolution of two species of highly migratory cetacean at multiple scales and the potential value of a mechanistic approach</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">An improved understanding of how behavior influences the genetic structure of populations would o...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">An improved understanding of how behavior influences the genetic structure of populations would offer insight into the inextricable link between ecological processes and evolutionary patterns. This dissertation aims to demonstrate the need to consider behavior alongside genetics by examining the population genetic structure of two species of highly migratory cetacean across multiple scales and presenting an exploration of some potential lines of enquiry into the behavioral mechanisms underlying the patterns of genetic population structure observed.<br /><br />The first empirical chapter presents a population genetic analysis conducted on a data set of new and existing samples of Bryde’s whale (Balaenoptera edeni spp.) collected from the Western and Central Indo-Pacific and the Northwest Pacific Ocean. Levels of evolutionary divergence between two subspecies (B. e. brydei and B. e. edeni) and the degree of population structure present within each subspecies were explored. The subsequent three empirical chapters represent a series of population- and individual-level genetic analyses on a data set of more than 4,000 individual humpback whales (Megaptera novaengliae) sampled from across the South Atlantic and Western and Northern Indian Oceans over two decades. Patterns of genetic population structure and connectivity between breeding populations are examined across the region, and are complemented by an assessment of genetic structure on shared feeding areas for these populations in the Southern Ocean. <br /><br />Collectively, these studies demonstrate that a hierarchy of behavioral processes operating at different spatial scales is likely influencing patterns of genetic population structure in highly migratory baleen whales. Notably, for humpback whales, the widely assumed model of maternal fidelity to feeding areas and natal philopatry to breeding areas was found not to be applicable at all spatial scales. From an applied perspective, the complex population patterns observed are not currently accounted for in current management designation and recommendations for applying these findings to the management and protection of these species are presented.<br /><br />As these empirical studies highlight the importance of behavior as a potential mechanism for shaping the genetic structure of species, the final chapter offers a research prospectus describing how behavioral and genetic data may be integrated using new individual-based modeling techniques to integrate data and information from the fields of behavioral ecology and population genetics.</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="23824049"><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="23824049"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23824049; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23824049]").text(description); $(".js-view-count[data-work-id=23824049]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23824049; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23824049']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 23824049, 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" } } $('.js-work-strip[data-work-id=23824049]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":23824049,"title":"Understanding the evolution of two species of highly migratory cetacean at multiple scales and the potential value of a mechanistic approach","translated_title":"","metadata":{"abstract":"An improved understanding of how behavior influences the genetic structure of populations would offer insight into the inextricable link between ecological processes and evolutionary patterns. This dissertation aims to demonstrate the need to consider behavior alongside genetics by examining the population genetic structure of two species of highly migratory cetacean across multiple scales and presenting an exploration of some potential lines of enquiry into the behavioral mechanisms underlying the patterns of genetic population structure observed.\n\nThe first empirical chapter presents a population genetic analysis conducted on a data set of new and existing samples of Bryde’s whale (Balaenoptera edeni spp.) collected from the Western and Central Indo-Pacific and the Northwest Pacific Ocean. Levels of evolutionary divergence between two subspecies (B. e. brydei and B. e. edeni) and the degree of population structure present within each subspecies were explored. The subsequent three empirical chapters represent a series of population- and individual-level genetic analyses on a data set of more than 4,000 individual humpback whales (Megaptera novaengliae) sampled from across the South Atlantic and Western and Northern Indian Oceans over two decades. Patterns of genetic population structure and connectivity between breeding populations are examined across the region, and are complemented by an assessment of genetic structure on shared feeding areas for these populations in the Southern Ocean. \n\nCollectively, these studies demonstrate that a hierarchy of behavioral processes operating at different spatial scales is likely influencing patterns of genetic population structure in highly migratory baleen whales. Notably, for humpback whales, the widely assumed model of maternal fidelity to feeding areas and natal philopatry to breeding areas was found not to be applicable at all spatial scales. From an applied perspective, the complex population patterns observed are not currently accounted for in current management designation and recommendations for applying these findings to the management and protection of these species are presented.\n\nAs these empirical studies highlight the importance of behavior as a potential mechanism for shaping the genetic structure of species, the final chapter offers a research prospectus describing how behavioral and genetic data may be integrated using new individual-based modeling techniques to integrate data and information from the fields of behavioral ecology and population genetics.","more_info":"Kershaw, F. (2015). Understanding the evolution of two species of highly migratory cetacean at multiple scales and the potential vaue of a mechanistic approach. Ph.D. Thesis. Columbia University, New York."},"translated_abstract":"An improved understanding of how behavior influences the genetic structure of populations would offer insight into the inextricable link between ecological processes and evolutionary patterns. This dissertation aims to demonstrate the need to consider behavior alongside genetics by examining the population genetic structure of two species of highly migratory cetacean across multiple scales and presenting an exploration of some potential lines of enquiry into the behavioral mechanisms underlying the patterns of genetic population structure observed.\n\nThe first empirical chapter presents a population genetic analysis conducted on a data set of new and existing samples of Bryde’s whale (Balaenoptera edeni spp.) collected from the Western and Central Indo-Pacific and the Northwest Pacific Ocean. Levels of evolutionary divergence between two subspecies (B. e. brydei and B. e. edeni) and the degree of population structure present within each subspecies were explored. The subsequent three empirical chapters represent a series of population- and individual-level genetic analyses on a data set of more than 4,000 individual humpback whales (Megaptera novaengliae) sampled from across the South Atlantic and Western and Northern Indian Oceans over two decades. Patterns of genetic population structure and connectivity between breeding populations are examined across the region, and are complemented by an assessment of genetic structure on shared feeding areas for these populations in the Southern Ocean. \n\nCollectively, these studies demonstrate that a hierarchy of behavioral processes operating at different spatial scales is likely influencing patterns of genetic population structure in highly migratory baleen whales. Notably, for humpback whales, the widely assumed model of maternal fidelity to feeding areas and natal philopatry to breeding areas was found not to be applicable at all spatial scales. From an applied perspective, the complex population patterns observed are not currently accounted for in current management designation and recommendations for applying these findings to the management and protection of these species are presented.\n\nAs these empirical studies highlight the importance of behavior as a potential mechanism for shaping the genetic structure of species, the final chapter offers a research prospectus describing how behavioral and genetic data may be integrated using new individual-based modeling techniques to integrate data and information from the fields of behavioral ecology and population genetics.","internal_url":"https://www.academia.edu/23824049/Understanding_the_evolution_of_two_species_of_highly_migratory_cetacean_at_multiple_scales_and_the_potential_value_of_a_mechanistic_approach","translated_internal_url":"","created_at":"2016-03-30T07:23:47.488-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Understanding_the_evolution_of_two_species_of_highly_migratory_cetacean_at_multiple_scales_and_the_potential_value_of_a_mechanistic_approach","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology"},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics"},{"id":13797,"name":"Marine Mammals","url":"https://www.academia.edu/Documents/in/Marine_Mammals"},{"id":25730,"name":"Behavioral Ecology","url":"https://www.academia.edu/Documents/in/Behavioral_Ecology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="4191355"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/4191355/Marine_Spatial_Planning_2_0_genes_and_satellites_to_conserve_seascape_dynamics"><img alt="Research paper thumbnail of Marine Spatial Planning 2.0: genes and satellites to conserve seascape dynamics" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/4191355/Marine_Spatial_Planning_2_0_genes_and_satellites_to_conserve_seascape_dynamics">Marine Spatial Planning 2.0: genes and satellites to conserve seascape dynamics</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="4191355"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="4191355"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 4191355; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=4191355]").text(description); $(".js-view-count[data-work-id=4191355]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 4191355; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='4191355']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 4191355, 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" } } $('.js-work-strip[data-work-id=4191355]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":4191355,"title":"Marine Spatial Planning 2.0: genes and satellites to conserve seascape dynamics","translated_title":"","metadata":{"more_info":"Mendez, M., Kershaw, F., Palumbi, S., Pinsky, M., Ray, C., Rosenbaum, HC. \u0026 Subramanian, A. (2014). Marine Spatial Planning 2.0: genes and satellites for seascape dynamics. Aquatic Conservation: Marine and Freshwater Ecosystems, 24(6), 742-744. Available online: 11th November 2014.","publication_date":{"day":11,"month":11,"year":2014,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/4191355/Marine_Spatial_Planning_2_0_genes_and_satellites_to_conserve_seascape_dynamics","translated_internal_url":"","created_at":"2013-08-07T06:53:16.697-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Marine_Spatial_Planning_2_0_genes_and_satellites_to_conserve_seascape_dynamics","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1768951"><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/1768951/Long_range_movement_of_humpback_whales_and_their_overlap_with_anthropogenic_activity_in_the_South_Atlantic_Ocean"><img alt="Research paper thumbnail of Long-range movement of humpback whales and their overlap with anthropogenic activity in the South Atlantic Ocean" 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/1768951/Long_range_movement_of_humpback_whales_and_their_overlap_with_anthropogenic_activity_in_the_South_Atlantic_Ocean">Long-range movement of humpback whales and their overlap with anthropogenic activity in the South Atlantic Ocean</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Humpback whales (Megaptera novaeangliae) are managed by the International Whaling Commission as 7...</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">Humpback whales (Megaptera novaeangliae) are managed by the International Whaling Commission as 7 primary populations that breed in the tropics and migrate to 6 feeding areas around the Antarctic. There is little information on individual movements within breeding areas or migratory connections to feeding grounds. We sought to better understand humpback whale habitat use and movements at breeding areas off West Africa, and during the annual migration to Antarctic feeding areas. We also assessed potential overlap be- tween whale habitat and anthropogenic activities. We used Argos satellite-monitored radio tags to collect data on 13 animals off Gabon, a primary humpback whale breeding area. We quantified habitat use for 3 cohorts of whales and used a state-space model to determine transitions in the movement behavior of individuals. We developed a spatial metric of overlap between whale habitat and models of cumulative human activities, including oil platforms, toxicants, and shipping. We detected strong heterogeneity in movement behavior over time that is consistent with previous genetic evidence of multiple populations in the region. Breeding areas for humpback whales in the eastern Atlantic were extensive and extended north of Gabon late in the breeding season. We also observed, for the first time, direct migration between West Africa and sub-Antarctic feeding areas. Potential overlap of whale habitat with human activities was the highest in exclusive economic zones close to shore, particularly in areas used by both individual whales and the hydrocarbon industry. Whales potentially overlapped with different activities during each stage of their migration, which makes it difficult to implement mitigation measures over their entire range. Our results and existing population-level data may inform delimitation of populations and actions to mitigate potential threats to whales as part of local, regional, and international management of highly migratory marine species.</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="1768951"><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="1768951"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1768951; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1768951]").text(description); $(".js-view-count[data-work-id=1768951]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1768951; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1768951']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1768951, 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" } } $('.js-work-strip[data-work-id=1768951]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1768951,"title":"Long-range movement of humpback whales and their overlap with anthropogenic activity in the South Atlantic Ocean","translated_title":"","metadata":{"abstract":"Humpback whales (Megaptera novaeangliae) are managed by the International Whaling Commission as 7 primary populations that breed in the tropics and migrate to 6 feeding areas around the Antarctic. There is little information on individual movements within breeding areas or migratory connections to feeding grounds. We sought to better understand humpback whale habitat use and movements at breeding areas off West Africa, and during the annual migration to Antarctic feeding areas. We also assessed potential overlap be- tween whale habitat and anthropogenic activities. We used Argos satellite-monitored radio tags to collect data on 13 animals off Gabon, a primary humpback whale breeding area. We quantified habitat use for 3 cohorts of whales and used a state-space model to determine transitions in the movement behavior of individuals. We developed a spatial metric of overlap between whale habitat and models of cumulative human activities, including oil platforms, toxicants, and shipping. We detected strong heterogeneity in movement behavior over time that is consistent with previous genetic evidence of multiple populations in the region. Breeding areas for humpback whales in the eastern Atlantic were extensive and extended north of Gabon late in the breeding season. We also observed, for the first time, direct migration between West Africa and sub-Antarctic feeding areas. Potential overlap of whale habitat with human activities was the highest in exclusive economic zones close to shore, particularly in areas used by both individual whales and the hydrocarbon industry. Whales potentially overlapped with different activities during each stage of their migration, which makes it difficult to implement mitigation measures over their entire range. Our results and existing population-level data may inform delimitation of populations and actions to mitigate potential threats to whales as part of local, regional, and international management of highly migratory marine species.","more_info":"Rosenbaum, HC., Maxwell, S., Kershaw, F. \u0026 Mate, B. (2014). Long-range movement of humpback whales and their overlap with anthropogenic activity in the South Atlantic Ocean. Conservation Biology, 28(2):604-15. Available online: Feb 4 2014.","publication_date":{"day":4,"month":2,"year":2014,"errors":{}}},"translated_abstract":"Humpback whales (Megaptera novaeangliae) are managed by the International Whaling Commission as 7 primary populations that breed in the tropics and migrate to 6 feeding areas around the Antarctic. There is little information on individual movements within breeding areas or migratory connections to feeding grounds. We sought to better understand humpback whale habitat use and movements at breeding areas off West Africa, and during the annual migration to Antarctic feeding areas. We also assessed potential overlap be- tween whale habitat and anthropogenic activities. We used Argos satellite-monitored radio tags to collect data on 13 animals off Gabon, a primary humpback whale breeding area. We quantified habitat use for 3 cohorts of whales and used a state-space model to determine transitions in the movement behavior of individuals. We developed a spatial metric of overlap between whale habitat and models of cumulative human activities, including oil platforms, toxicants, and shipping. We detected strong heterogeneity in movement behavior over time that is consistent with previous genetic evidence of multiple populations in the region. Breeding areas for humpback whales in the eastern Atlantic were extensive and extended north of Gabon late in the breeding season. We also observed, for the first time, direct migration between West Africa and sub-Antarctic feeding areas. Potential overlap of whale habitat with human activities was the highest in exclusive economic zones close to shore, particularly in areas used by both individual whales and the hydrocarbon industry. Whales potentially overlapped with different activities during each stage of their migration, which makes it difficult to implement mitigation measures over their entire range. Our results and existing population-level data may inform delimitation of populations and actions to mitigate potential threats to whales as part of local, regional, and international management of highly migratory marine species.","internal_url":"https://www.academia.edu/1768951/Long_range_movement_of_humpback_whales_and_their_overlap_with_anthropogenic_activity_in_the_South_Atlantic_Ocean","translated_internal_url":"","created_at":"2012-07-06T00:19:28.107-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Long_range_movement_of_humpback_whales_and_their_overlap_with_anthropogenic_activity_in_the_South_Atlantic_Ocean","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5361443"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5361443/Ten_years_lost_at_sea_response_to_Manel_and_Holderegger"><img alt="Research paper thumbnail of Ten years lost at sea: response to Manel & Holderegger" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5361443/Ten_years_lost_at_sea_response_to_Manel_and_Holderegger">Ten years lost at sea: response to Manel & Holderegger</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5361443"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5361443"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5361443; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5361443]").text(description); $(".js-view-count[data-work-id=5361443]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5361443; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5361443']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5361443, 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" } } $('.js-work-strip[data-work-id=5361443]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5361443,"title":"Ten years lost at sea: response to Manel \u0026 Holderegger","translated_title":"","metadata":{"more_info":"Kershaw, F. \u0026 Rosenbaum, HC. (2014). Ten years lost at sea: response to Manel \u0026 Holderegger. Trends in Ecology and Evolution. 29(2): 69-70. Available online 31 December 2013, ISSN 0169-5347.","publication_date":{"day":31,"month":12,"year":2013,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/5361443/Ten_years_lost_at_sea_response_to_Manel_and_Holderegger","translated_internal_url":"","created_at":"2013-12-08T23:13:25.570-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Ten_years_lost_at_sea_response_to_Manel_and_Holderegger","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[{"id":4485,"name":"Landscape genetics","url":"https://www.academia.edu/Documents/in/Landscape_genetics"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1768982"><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/1768982/Population_differentiation_of_2_forms_of_Brydes_whales_in_the_Indian_and_Pacific_Oceans"><img alt="Research paper thumbnail of Population differentiation of 2 forms of Bryde's whales in the Indian and Pacific Oceans" 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/1768982/Population_differentiation_of_2_forms_of_Brydes_whales_in_the_Indian_and_Pacific_Oceans">Population differentiation of 2 forms of Bryde's whales in the Indian and Pacific Oceans</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Accurate identification of units for conservation is particularly challenging for marine species ...</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">Accurate identification of units for conservation is particularly challenging for marine species as obvious barriers to gene flow are generally lacking. Bryde's whales (Balaenoptera spp.) are subject to multiple human-mediated stressors, including fisheries bycatch, ship strikes, and scientific whaling by Japan. For effective management, a clear understanding of how populations of each Bryde's whales species/subspecies are genetically structured across their range is required. We conducted a population-level analysis of mtDNA control region sequences with 56 new samples from Oman, Maldives, and Bangladesh, plus published sequences from off Java and the Northwest Pacific. Nine diagnostic characters in the mitochondrial control region and a maximum parsimony phylogenetic analysis identified 2 genetically recognized subspecies of Bryde's whale: the larger, offshore form, Balaenoptera edeni brydei, and the smaller, coastal form, Balaenoptera edeni edeni. Genetic diversity and differentiation indices, combined with a reconstructed maximum parsimony haplotype network, indicate strong differences in the genetic diversity and population structure within each subspecies. Discrete population units are identified for B. e. brydei  in the Maldives, Java, and the Northwest Pacific, and for B. e. edeni between the Northern Indian Ocean (Oman and Bangladesh) and the coastal waters of Japan.</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="1768982"><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="1768982"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1768982; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1768982]").text(description); $(".js-view-count[data-work-id=1768982]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1768982; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1768982']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1768982, 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" } } $('.js-work-strip[data-work-id=1768982]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1768982,"title":"Population differentiation of 2 forms of Bryde's whales in the Indian and Pacific Oceans","translated_title":"","metadata":{"abstract":"Accurate identification of units for conservation is particularly challenging for marine species as obvious barriers to gene flow are generally lacking. Bryde's whales (Balaenoptera spp.) are subject to multiple human-mediated stressors, including fisheries bycatch, ship strikes, and scientific whaling by Japan. For effective management, a clear understanding of how populations of each Bryde's whales species/subspecies are genetically structured across their range is required. We conducted a population-level analysis of mtDNA control region sequences with 56 new samples from Oman, Maldives, and Bangladesh, plus published sequences from off Java and the Northwest Pacific. Nine diagnostic characters in the mitochondrial control region and a maximum parsimony phylogenetic analysis identified 2 genetically recognized subspecies of Bryde's whale: the larger, offshore form, Balaenoptera edeni brydei, and the smaller, coastal form, Balaenoptera edeni edeni. Genetic diversity and differentiation indices, combined with a reconstructed maximum parsimony haplotype network, indicate strong differences in the genetic diversity and population structure within each subspecies. Discrete population units are identified for B. e. brydei in the Maldives, Java, and the Northwest Pacific, and for B. e. edeni between the Northern Indian Ocean (Oman and Bangladesh) and the coastal waters of Japan.","more_info":"Kershaw F, Leslie MS, Collins T, Mansur RM, Smith BD, Minton G, Baldwin R, LeDuc RG, Anderson RC, Brownell Jr. RL, and Rosenbaum HC. (2013). Population differentiation of 2 forms of Bryde's whales in the Indian and Pacific Oceans. Journal of Heredity 104(6), 755-764.","publication_date":{"day":30,"month":9,"year":2013,"errors":{}}},"translated_abstract":"Accurate identification of units for conservation is particularly challenging for marine species as obvious barriers to gene flow are generally lacking. Bryde's whales (Balaenoptera spp.) are subject to multiple human-mediated stressors, including fisheries bycatch, ship strikes, and scientific whaling by Japan. For effective management, a clear understanding of how populations of each Bryde's whales species/subspecies are genetically structured across their range is required. We conducted a population-level analysis of mtDNA control region sequences with 56 new samples from Oman, Maldives, and Bangladesh, plus published sequences from off Java and the Northwest Pacific. Nine diagnostic characters in the mitochondrial control region and a maximum parsimony phylogenetic analysis identified 2 genetically recognized subspecies of Bryde's whale: the larger, offshore form, Balaenoptera edeni brydei, and the smaller, coastal form, Balaenoptera edeni edeni. Genetic diversity and differentiation indices, combined with a reconstructed maximum parsimony haplotype network, indicate strong differences in the genetic diversity and population structure within each subspecies. Discrete population units are identified for B. e. brydei in the Maldives, Java, and the Northwest Pacific, and for B. e. edeni between the Northern Indian Ocean (Oman and Bangladesh) and the coastal waters of Japan.","internal_url":"https://www.academia.edu/1768982/Population_differentiation_of_2_forms_of_Brydes_whales_in_the_Indian_and_Pacific_Oceans","translated_internal_url":"","created_at":"2012-07-06T00:24:44.242-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Population_differentiation_of_2_forms_of_Brydes_whales_in_the_Indian_and_Pacific_Oceans","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="2053968"><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/2053968/Informing_conservation_units_barriers_to_dispersal_for_the_yellow_anaconda"><img alt="Research paper thumbnail of Informing conservation units: barriers to dispersal for the yellow anaconda" 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/2053968/Informing_conservation_units_barriers_to_dispersal_for_the_yellow_anaconda">Informing conservation units: barriers to dispersal for the yellow anaconda</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Aim: Fine-scale population structure is often unaccounted for in the delineation of conservation ...</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">Aim: Fine-scale population structure is often unaccounted for in the delineation of conservation units, potentially compromising long-term species persistence. Identifying biogeographic and environmental drivers of population boundaries is therefore of key conservation concern. We aimed to explore barriers to dispersal for the harvested yellow anaconda (Eunectes notaeus) using an ecological niche model. Our secondary aim was to test the relative geographic and environmental contributions of a multisource occurrence data set in species range predictions. <br /> <br />Location: Paraguay River drainage, central South America. <br /> <br />Methods: We developed an ecological niche model for the yellow anaconda using Maxent and a multisource species occurrence data set. Following nine iterations of model development, nine environmental variables were selected for model inclusion. We used the models to identify potential barriers to dispersal and employed jackknifing to identify the primary environmental variables that best explain barrier presence. We assessed the geographic and environmental overlap of models built with each data subset. <br /> <br />Results: Characterization of suitable habitat was found to be most powerful in northern Argentina and southern Paraguay. A persistent barrier to dispersal was identified in northern Argentina and corresponded to the presence of dry Cambisol soils. Data subsets were found to contribute different information to the final model in terms of geographic and environmental space. <br /> <br />Main Conclusions: Ecologically meaningful barriers to dispersal support recent genetic hypotheses of population subdivision. These barriers should be considered when delineating species management units to ensure sustainable harvest levels. Multisource data sets may produce more powerful niche predictions and represent a useful resource for data-poor species. Further, model results should be interpreted alongside complementary analyses for more effective conservation strategies.</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="2053968"><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="2053968"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2053968; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2053968]").text(description); $(".js-view-count[data-work-id=2053968]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 2053968; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='2053968']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 2053968, 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" } } $('.js-work-strip[data-work-id=2053968]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":2053968,"title":"Informing conservation units: barriers to dispersal for the yellow anaconda","translated_title":"","metadata":{"abstract":"Aim: Fine-scale population structure is often unaccounted for in the delineation of conservation units, potentially compromising long-term species persistence. Identifying biogeographic and environmental drivers of population boundaries is therefore of key conservation concern. We aimed to explore barriers to dispersal for the harvested yellow anaconda (Eunectes notaeus) using an ecological niche model. Our secondary aim was to test the relative geographic and environmental contributions of a multisource occurrence data set in species range predictions.\r\n\r\nLocation: Paraguay River drainage, central South America.\r\n\r\nMethods: We developed an ecological niche model for the yellow anaconda using Maxent and a multisource species occurrence data set. Following nine iterations of model development, nine environmental variables were selected for model inclusion. We used the models to identify potential barriers to dispersal and employed jackknifing to identify the primary environmental variables that best explain barrier presence. We assessed the geographic and environmental overlap of models built with each data subset.\r\n\r\nResults: Characterization of suitable habitat was found to be most powerful in northern Argentina and southern Paraguay. A persistent barrier to dispersal was identified in northern Argentina and corresponded to the presence of dry Cambisol soils. Data subsets were found to contribute different information to the final model in terms of geographic and environmental space.\r\n\r\nMain Conclusions: Ecologically meaningful barriers to dispersal support recent genetic hypotheses of population subdivision. These barriers should be considered when delineating species management units to ensure sustainable harvest levels. Multisource data sets may produce more powerful niche predictions and represent a useful resource for data-poor species. Further, model results should be interpreted alongside complementary analyses for more effective conservation strategies.","more_info":"Kershaw F, Waller T, Micucci P, Draque J, Barros M, Buongermini E, Pearson RG, and Mendez M. (2013). Informing conservation units: barriers to dispersal for the yellow anaconda. Diversity and Distributions, 19(9), 1164-1174..","publication_date":{"day":18,"month":6,"year":2013,"errors":{}}},"translated_abstract":"Aim: Fine-scale population structure is often unaccounted for in the delineation of conservation units, potentially compromising long-term species persistence. Identifying biogeographic and environmental drivers of population boundaries is therefore of key conservation concern. We aimed to explore barriers to dispersal for the harvested yellow anaconda (Eunectes notaeus) using an ecological niche model. Our secondary aim was to test the relative geographic and environmental contributions of a multisource occurrence data set in species range predictions.\r\n\r\nLocation: Paraguay River drainage, central South America.\r\n\r\nMethods: We developed an ecological niche model for the yellow anaconda using Maxent and a multisource species occurrence data set. Following nine iterations of model development, nine environmental variables were selected for model inclusion. We used the models to identify potential barriers to dispersal and employed jackknifing to identify the primary environmental variables that best explain barrier presence. We assessed the geographic and environmental overlap of models built with each data subset.\r\n\r\nResults: Characterization of suitable habitat was found to be most powerful in northern Argentina and southern Paraguay. A persistent barrier to dispersal was identified in northern Argentina and corresponded to the presence of dry Cambisol soils. Data subsets were found to contribute different information to the final model in terms of geographic and environmental space.\r\n\r\nMain Conclusions: Ecologically meaningful barriers to dispersal support recent genetic hypotheses of population subdivision. These barriers should be considered when delineating species management units to ensure sustainable harvest levels. Multisource data sets may produce more powerful niche predictions and represent a useful resource for data-poor species. Further, model results should be interpreted alongside complementary analyses for more effective conservation strategies.","internal_url":"https://www.academia.edu/2053968/Informing_conservation_units_barriers_to_dispersal_for_the_yellow_anaconda","translated_internal_url":"","created_at":"2012-10-24T03:15:01.894-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Informing_conservation_units_barriers_to_dispersal_for_the_yellow_anaconda","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="profile--tab_heading_container js-section-heading" data-section="Policy Papers" id="Policy Papers"><h3 class="profile--tab_heading_container">Policy Papers by Francine Kershaw</h3></div><div class="js-work-strip profile--work_container" data-work-id="31702219"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/31702219/PAME_MPA_network_toolbox_Area_based_conservation_measures_and_ecological_connectivity"><img alt="Research paper thumbnail of PAME MPA-network toolbox: Area-based conservation measures and ecological connectivity" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/31702219/PAME_MPA_network_toolbox_Area_based_conservation_measures_and_ecological_connectivity">PAME MPA-network toolbox: Area-based conservation measures and ecological connectivity</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="31702219"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="31702219"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 31702219; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=31702219]").text(description); $(".js-view-count[data-work-id=31702219]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 31702219; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='31702219']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 31702219, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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This dissertation aims to demonstrate the need to consider behavior alongside genetics by examining the population genetic structure of two species of highly migratory cetacean across multiple scales and presenting an exploration of some potential lines of enquiry into the behavioral mechanisms underlying the patterns of genetic population structure observed.<br /><br />The first empirical chapter presents a population genetic analysis conducted on a data set of new and existing samples of Bryde’s whale (Balaenoptera edeni spp.) collected from the Western and Central Indo-Pacific and the Northwest Pacific Ocean. Levels of evolutionary divergence between two subspecies (B. e. brydei and B. e. edeni) and the degree of population structure present within each subspecies were explored. The subsequent three empirical chapters represent a series of population- and individual-level genetic analyses on a data set of more than 4,000 individual humpback whales (Megaptera novaengliae) sampled from across the South Atlantic and Western and Northern Indian Oceans over two decades. Patterns of genetic population structure and connectivity between breeding populations are examined across the region, and are complemented by an assessment of genetic structure on shared feeding areas for these populations in the Southern Ocean. <br /><br />Collectively, these studies demonstrate that a hierarchy of behavioral processes operating at different spatial scales is likely influencing patterns of genetic population structure in highly migratory baleen whales. Notably, for humpback whales, the widely assumed model of maternal fidelity to feeding areas and natal philopatry to breeding areas was found not to be applicable at all spatial scales. From an applied perspective, the complex population patterns observed are not currently accounted for in current management designation and recommendations for applying these findings to the management and protection of these species are presented.<br /><br />As these empirical studies highlight the importance of behavior as a potential mechanism for shaping the genetic structure of species, the final chapter offers a research prospectus describing how behavioral and genetic data may be integrated using new individual-based modeling techniques to integrate data and information from the fields of behavioral ecology and population genetics.</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="23824049"><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="23824049"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 23824049; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=23824049]").text(description); $(".js-view-count[data-work-id=23824049]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 23824049; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='23824049']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 23824049, 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" } } $('.js-work-strip[data-work-id=23824049]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":23824049,"title":"Understanding the evolution of two species of highly migratory cetacean at multiple scales and the potential value of a mechanistic approach","translated_title":"","metadata":{"abstract":"An improved understanding of how behavior influences the genetic structure of populations would offer insight into the inextricable link between ecological processes and evolutionary patterns. This dissertation aims to demonstrate the need to consider behavior alongside genetics by examining the population genetic structure of two species of highly migratory cetacean across multiple scales and presenting an exploration of some potential lines of enquiry into the behavioral mechanisms underlying the patterns of genetic population structure observed.\n\nThe first empirical chapter presents a population genetic analysis conducted on a data set of new and existing samples of Bryde’s whale (Balaenoptera edeni spp.) collected from the Western and Central Indo-Pacific and the Northwest Pacific Ocean. Levels of evolutionary divergence between two subspecies (B. e. brydei and B. e. edeni) and the degree of population structure present within each subspecies were explored. The subsequent three empirical chapters represent a series of population- and individual-level genetic analyses on a data set of more than 4,000 individual humpback whales (Megaptera novaengliae) sampled from across the South Atlantic and Western and Northern Indian Oceans over two decades. Patterns of genetic population structure and connectivity between breeding populations are examined across the region, and are complemented by an assessment of genetic structure on shared feeding areas for these populations in the Southern Ocean. \n\nCollectively, these studies demonstrate that a hierarchy of behavioral processes operating at different spatial scales is likely influencing patterns of genetic population structure in highly migratory baleen whales. Notably, for humpback whales, the widely assumed model of maternal fidelity to feeding areas and natal philopatry to breeding areas was found not to be applicable at all spatial scales. From an applied perspective, the complex population patterns observed are not currently accounted for in current management designation and recommendations for applying these findings to the management and protection of these species are presented.\n\nAs these empirical studies highlight the importance of behavior as a potential mechanism for shaping the genetic structure of species, the final chapter offers a research prospectus describing how behavioral and genetic data may be integrated using new individual-based modeling techniques to integrate data and information from the fields of behavioral ecology and population genetics.","more_info":"Kershaw, F. (2015). Understanding the evolution of two species of highly migratory cetacean at multiple scales and the potential vaue of a mechanistic approach. Ph.D. Thesis. Columbia University, New York."},"translated_abstract":"An improved understanding of how behavior influences the genetic structure of populations would offer insight into the inextricable link between ecological processes and evolutionary patterns. This dissertation aims to demonstrate the need to consider behavior alongside genetics by examining the population genetic structure of two species of highly migratory cetacean across multiple scales and presenting an exploration of some potential lines of enquiry into the behavioral mechanisms underlying the patterns of genetic population structure observed.\n\nThe first empirical chapter presents a population genetic analysis conducted on a data set of new and existing samples of Bryde’s whale (Balaenoptera edeni spp.) collected from the Western and Central Indo-Pacific and the Northwest Pacific Ocean. Levels of evolutionary divergence between two subspecies (B. e. brydei and B. e. edeni) and the degree of population structure present within each subspecies were explored. The subsequent three empirical chapters represent a series of population- and individual-level genetic analyses on a data set of more than 4,000 individual humpback whales (Megaptera novaengliae) sampled from across the South Atlantic and Western and Northern Indian Oceans over two decades. Patterns of genetic population structure and connectivity between breeding populations are examined across the region, and are complemented by an assessment of genetic structure on shared feeding areas for these populations in the Southern Ocean. \n\nCollectively, these studies demonstrate that a hierarchy of behavioral processes operating at different spatial scales is likely influencing patterns of genetic population structure in highly migratory baleen whales. Notably, for humpback whales, the widely assumed model of maternal fidelity to feeding areas and natal philopatry to breeding areas was found not to be applicable at all spatial scales. From an applied perspective, the complex population patterns observed are not currently accounted for in current management designation and recommendations for applying these findings to the management and protection of these species are presented.\n\nAs these empirical studies highlight the importance of behavior as a potential mechanism for shaping the genetic structure of species, the final chapter offers a research prospectus describing how behavioral and genetic data may be integrated using new individual-based modeling techniques to integrate data and information from the fields of behavioral ecology and population genetics.","internal_url":"https://www.academia.edu/23824049/Understanding_the_evolution_of_two_species_of_highly_migratory_cetacean_at_multiple_scales_and_the_potential_value_of_a_mechanistic_approach","translated_internal_url":"","created_at":"2016-03-30T07:23:47.488-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Understanding_the_evolution_of_two_species_of_highly_migratory_cetacean_at_multiple_scales_and_the_potential_value_of_a_mechanistic_approach","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology"},{"id":4480,"name":"Population Genetics","url":"https://www.academia.edu/Documents/in/Population_Genetics"},{"id":13797,"name":"Marine Mammals","url":"https://www.academia.edu/Documents/in/Marine_Mammals"},{"id":25730,"name":"Behavioral Ecology","url":"https://www.academia.edu/Documents/in/Behavioral_Ecology"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="4191355"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/4191355/Marine_Spatial_Planning_2_0_genes_and_satellites_to_conserve_seascape_dynamics"><img alt="Research paper thumbnail of Marine Spatial Planning 2.0: genes and satellites to conserve seascape dynamics" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/4191355/Marine_Spatial_Planning_2_0_genes_and_satellites_to_conserve_seascape_dynamics">Marine Spatial Planning 2.0: genes and satellites to conserve seascape dynamics</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="4191355"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="4191355"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 4191355; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=4191355]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":4191355,"title":"Marine Spatial Planning 2.0: genes and satellites to conserve seascape dynamics","translated_title":"","metadata":{"more_info":"Mendez, M., Kershaw, F., Palumbi, S., Pinsky, M., Ray, C., Rosenbaum, HC. \u0026 Subramanian, A. (2014). Marine Spatial Planning 2.0: genes and satellites for seascape dynamics. Aquatic Conservation: Marine and Freshwater Ecosystems, 24(6), 742-744. Available online: 11th November 2014.","publication_date":{"day":11,"month":11,"year":2014,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/4191355/Marine_Spatial_Planning_2_0_genes_and_satellites_to_conserve_seascape_dynamics","translated_internal_url":"","created_at":"2013-08-07T06:53:16.697-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Marine_Spatial_Planning_2_0_genes_and_satellites_to_conserve_seascape_dynamics","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1768951"><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/1768951/Long_range_movement_of_humpback_whales_and_their_overlap_with_anthropogenic_activity_in_the_South_Atlantic_Ocean"><img alt="Research paper thumbnail of Long-range movement of humpback whales and their overlap with anthropogenic activity in the South Atlantic Ocean" 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/1768951/Long_range_movement_of_humpback_whales_and_their_overlap_with_anthropogenic_activity_in_the_South_Atlantic_Ocean">Long-range movement of humpback whales and their overlap with anthropogenic activity in the South Atlantic Ocean</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Humpback whales (Megaptera novaeangliae) are managed by the International Whaling Commission as 7...</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">Humpback whales (Megaptera novaeangliae) are managed by the International Whaling Commission as 7 primary populations that breed in the tropics and migrate to 6 feeding areas around the Antarctic. There is little information on individual movements within breeding areas or migratory connections to feeding grounds. We sought to better understand humpback whale habitat use and movements at breeding areas off West Africa, and during the annual migration to Antarctic feeding areas. We also assessed potential overlap be- tween whale habitat and anthropogenic activities. We used Argos satellite-monitored radio tags to collect data on 13 animals off Gabon, a primary humpback whale breeding area. We quantified habitat use for 3 cohorts of whales and used a state-space model to determine transitions in the movement behavior of individuals. We developed a spatial metric of overlap between whale habitat and models of cumulative human activities, including oil platforms, toxicants, and shipping. We detected strong heterogeneity in movement behavior over time that is consistent with previous genetic evidence of multiple populations in the region. Breeding areas for humpback whales in the eastern Atlantic were extensive and extended north of Gabon late in the breeding season. We also observed, for the first time, direct migration between West Africa and sub-Antarctic feeding areas. Potential overlap of whale habitat with human activities was the highest in exclusive economic zones close to shore, particularly in areas used by both individual whales and the hydrocarbon industry. Whales potentially overlapped with different activities during each stage of their migration, which makes it difficult to implement mitigation measures over their entire range. Our results and existing population-level data may inform delimitation of populations and actions to mitigate potential threats to whales as part of local, regional, and international management of highly migratory marine species.</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="1768951"><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="1768951"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1768951; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1768951]").text(description); $(".js-view-count[data-work-id=1768951]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1768951; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1768951']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1768951, 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" } } $('.js-work-strip[data-work-id=1768951]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1768951,"title":"Long-range movement of humpback whales and their overlap with anthropogenic activity in the South Atlantic Ocean","translated_title":"","metadata":{"abstract":"Humpback whales (Megaptera novaeangliae) are managed by the International Whaling Commission as 7 primary populations that breed in the tropics and migrate to 6 feeding areas around the Antarctic. There is little information on individual movements within breeding areas or migratory connections to feeding grounds. We sought to better understand humpback whale habitat use and movements at breeding areas off West Africa, and during the annual migration to Antarctic feeding areas. We also assessed potential overlap be- tween whale habitat and anthropogenic activities. We used Argos satellite-monitored radio tags to collect data on 13 animals off Gabon, a primary humpback whale breeding area. We quantified habitat use for 3 cohorts of whales and used a state-space model to determine transitions in the movement behavior of individuals. We developed a spatial metric of overlap between whale habitat and models of cumulative human activities, including oil platforms, toxicants, and shipping. We detected strong heterogeneity in movement behavior over time that is consistent with previous genetic evidence of multiple populations in the region. Breeding areas for humpback whales in the eastern Atlantic were extensive and extended north of Gabon late in the breeding season. We also observed, for the first time, direct migration between West Africa and sub-Antarctic feeding areas. Potential overlap of whale habitat with human activities was the highest in exclusive economic zones close to shore, particularly in areas used by both individual whales and the hydrocarbon industry. Whales potentially overlapped with different activities during each stage of their migration, which makes it difficult to implement mitigation measures over their entire range. Our results and existing population-level data may inform delimitation of populations and actions to mitigate potential threats to whales as part of local, regional, and international management of highly migratory marine species.","more_info":"Rosenbaum, HC., Maxwell, S., Kershaw, F. \u0026 Mate, B. (2014). Long-range movement of humpback whales and their overlap with anthropogenic activity in the South Atlantic Ocean. Conservation Biology, 28(2):604-15. Available online: Feb 4 2014.","publication_date":{"day":4,"month":2,"year":2014,"errors":{}}},"translated_abstract":"Humpback whales (Megaptera novaeangliae) are managed by the International Whaling Commission as 7 primary populations that breed in the tropics and migrate to 6 feeding areas around the Antarctic. There is little information on individual movements within breeding areas or migratory connections to feeding grounds. We sought to better understand humpback whale habitat use and movements at breeding areas off West Africa, and during the annual migration to Antarctic feeding areas. We also assessed potential overlap be- tween whale habitat and anthropogenic activities. We used Argos satellite-monitored radio tags to collect data on 13 animals off Gabon, a primary humpback whale breeding area. We quantified habitat use for 3 cohorts of whales and used a state-space model to determine transitions in the movement behavior of individuals. We developed a spatial metric of overlap between whale habitat and models of cumulative human activities, including oil platforms, toxicants, and shipping. We detected strong heterogeneity in movement behavior over time that is consistent with previous genetic evidence of multiple populations in the region. Breeding areas for humpback whales in the eastern Atlantic were extensive and extended north of Gabon late in the breeding season. We also observed, for the first time, direct migration between West Africa and sub-Antarctic feeding areas. Potential overlap of whale habitat with human activities was the highest in exclusive economic zones close to shore, particularly in areas used by both individual whales and the hydrocarbon industry. Whales potentially overlapped with different activities during each stage of their migration, which makes it difficult to implement mitigation measures over their entire range. Our results and existing population-level data may inform delimitation of populations and actions to mitigate potential threats to whales as part of local, regional, and international management of highly migratory marine species.","internal_url":"https://www.academia.edu/1768951/Long_range_movement_of_humpback_whales_and_their_overlap_with_anthropogenic_activity_in_the_South_Atlantic_Ocean","translated_internal_url":"","created_at":"2012-07-06T00:19:28.107-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Long_range_movement_of_humpback_whales_and_their_overlap_with_anthropogenic_activity_in_the_South_Atlantic_Ocean","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="5361443"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/5361443/Ten_years_lost_at_sea_response_to_Manel_and_Holderegger"><img alt="Research paper thumbnail of Ten years lost at sea: response to Manel & Holderegger" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/5361443/Ten_years_lost_at_sea_response_to_Manel_and_Holderegger">Ten years lost at sea: response to Manel & Holderegger</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="5361443"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="5361443"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 5361443; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=5361443]").text(description); $(".js-view-count[data-work-id=5361443]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 5361443; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='5361443']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 5361443, 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" } } $('.js-work-strip[data-work-id=5361443]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":5361443,"title":"Ten years lost at sea: response to Manel \u0026 Holderegger","translated_title":"","metadata":{"more_info":"Kershaw, F. \u0026 Rosenbaum, HC. (2014). Ten years lost at sea: response to Manel \u0026 Holderegger. Trends in Ecology and Evolution. 29(2): 69-70. Available online 31 December 2013, ISSN 0169-5347.","publication_date":{"day":31,"month":12,"year":2013,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/5361443/Ten_years_lost_at_sea_response_to_Manel_and_Holderegger","translated_internal_url":"","created_at":"2013-12-08T23:13:25.570-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Ten_years_lost_at_sea_response_to_Manel_and_Holderegger","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[{"id":4485,"name":"Landscape genetics","url":"https://www.academia.edu/Documents/in/Landscape_genetics"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1768982"><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/1768982/Population_differentiation_of_2_forms_of_Brydes_whales_in_the_Indian_and_Pacific_Oceans"><img alt="Research paper thumbnail of Population differentiation of 2 forms of Bryde's whales in the Indian and Pacific Oceans" 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/1768982/Population_differentiation_of_2_forms_of_Brydes_whales_in_the_Indian_and_Pacific_Oceans">Population differentiation of 2 forms of Bryde's whales in the Indian and Pacific Oceans</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Accurate identification of units for conservation is particularly challenging for marine species ...</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">Accurate identification of units for conservation is particularly challenging for marine species as obvious barriers to gene flow are generally lacking. Bryde's whales (Balaenoptera spp.) are subject to multiple human-mediated stressors, including fisheries bycatch, ship strikes, and scientific whaling by Japan. For effective management, a clear understanding of how populations of each Bryde's whales species/subspecies are genetically structured across their range is required. We conducted a population-level analysis of mtDNA control region sequences with 56 new samples from Oman, Maldives, and Bangladesh, plus published sequences from off Java and the Northwest Pacific. Nine diagnostic characters in the mitochondrial control region and a maximum parsimony phylogenetic analysis identified 2 genetically recognized subspecies of Bryde's whale: the larger, offshore form, Balaenoptera edeni brydei, and the smaller, coastal form, Balaenoptera edeni edeni. Genetic diversity and differentiation indices, combined with a reconstructed maximum parsimony haplotype network, indicate strong differences in the genetic diversity and population structure within each subspecies. Discrete population units are identified for B. e. brydei  in the Maldives, Java, and the Northwest Pacific, and for B. e. edeni between the Northern Indian Ocean (Oman and Bangladesh) and the coastal waters of Japan.</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="1768982"><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="1768982"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1768982; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1768982]").text(description); $(".js-view-count[data-work-id=1768982]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1768982; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1768982']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1768982, 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" } } $('.js-work-strip[data-work-id=1768982]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1768982,"title":"Population differentiation of 2 forms of Bryde's whales in the Indian and Pacific Oceans","translated_title":"","metadata":{"abstract":"Accurate identification of units for conservation is particularly challenging for marine species as obvious barriers to gene flow are generally lacking. Bryde's whales (Balaenoptera spp.) are subject to multiple human-mediated stressors, including fisheries bycatch, ship strikes, and scientific whaling by Japan. For effective management, a clear understanding of how populations of each Bryde's whales species/subspecies are genetically structured across their range is required. We conducted a population-level analysis of mtDNA control region sequences with 56 new samples from Oman, Maldives, and Bangladesh, plus published sequences from off Java and the Northwest Pacific. Nine diagnostic characters in the mitochondrial control region and a maximum parsimony phylogenetic analysis identified 2 genetically recognized subspecies of Bryde's whale: the larger, offshore form, Balaenoptera edeni brydei, and the smaller, coastal form, Balaenoptera edeni edeni. Genetic diversity and differentiation indices, combined with a reconstructed maximum parsimony haplotype network, indicate strong differences in the genetic diversity and population structure within each subspecies. Discrete population units are identified for B. e. brydei in the Maldives, Java, and the Northwest Pacific, and for B. e. edeni between the Northern Indian Ocean (Oman and Bangladesh) and the coastal waters of Japan.","more_info":"Kershaw F, Leslie MS, Collins T, Mansur RM, Smith BD, Minton G, Baldwin R, LeDuc RG, Anderson RC, Brownell Jr. RL, and Rosenbaum HC. (2013). Population differentiation of 2 forms of Bryde's whales in the Indian and Pacific Oceans. Journal of Heredity 104(6), 755-764.","publication_date":{"day":30,"month":9,"year":2013,"errors":{}}},"translated_abstract":"Accurate identification of units for conservation is particularly challenging for marine species as obvious barriers to gene flow are generally lacking. Bryde's whales (Balaenoptera spp.) are subject to multiple human-mediated stressors, including fisheries bycatch, ship strikes, and scientific whaling by Japan. For effective management, a clear understanding of how populations of each Bryde's whales species/subspecies are genetically structured across their range is required. We conducted a population-level analysis of mtDNA control region sequences with 56 new samples from Oman, Maldives, and Bangladesh, plus published sequences from off Java and the Northwest Pacific. Nine diagnostic characters in the mitochondrial control region and a maximum parsimony phylogenetic analysis identified 2 genetically recognized subspecies of Bryde's whale: the larger, offshore form, Balaenoptera edeni brydei, and the smaller, coastal form, Balaenoptera edeni edeni. Genetic diversity and differentiation indices, combined with a reconstructed maximum parsimony haplotype network, indicate strong differences in the genetic diversity and population structure within each subspecies. Discrete population units are identified for B. e. brydei in the Maldives, Java, and the Northwest Pacific, and for B. e. edeni between the Northern Indian Ocean (Oman and Bangladesh) and the coastal waters of Japan.","internal_url":"https://www.academia.edu/1768982/Population_differentiation_of_2_forms_of_Brydes_whales_in_the_Indian_and_Pacific_Oceans","translated_internal_url":"","created_at":"2012-07-06T00:24:44.242-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Population_differentiation_of_2_forms_of_Brydes_whales_in_the_Indian_and_Pacific_Oceans","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="2053968"><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/2053968/Informing_conservation_units_barriers_to_dispersal_for_the_yellow_anaconda"><img alt="Research paper thumbnail of Informing conservation units: barriers to dispersal for the yellow anaconda" 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/2053968/Informing_conservation_units_barriers_to_dispersal_for_the_yellow_anaconda">Informing conservation units: barriers to dispersal for the yellow anaconda</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Aim: Fine-scale population structure is often unaccounted for in the delineation of conservation ...</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">Aim: Fine-scale population structure is often unaccounted for in the delineation of conservation units, potentially compromising long-term species persistence. Identifying biogeographic and environmental drivers of population boundaries is therefore of key conservation concern. We aimed to explore barriers to dispersal for the harvested yellow anaconda (Eunectes notaeus) using an ecological niche model. Our secondary aim was to test the relative geographic and environmental contributions of a multisource occurrence data set in species range predictions. <br /> <br />Location: Paraguay River drainage, central South America. <br /> <br />Methods: We developed an ecological niche model for the yellow anaconda using Maxent and a multisource species occurrence data set. Following nine iterations of model development, nine environmental variables were selected for model inclusion. We used the models to identify potential barriers to dispersal and employed jackknifing to identify the primary environmental variables that best explain barrier presence. We assessed the geographic and environmental overlap of models built with each data subset. <br /> <br />Results: Characterization of suitable habitat was found to be most powerful in northern Argentina and southern Paraguay. A persistent barrier to dispersal was identified in northern Argentina and corresponded to the presence of dry Cambisol soils. Data subsets were found to contribute different information to the final model in terms of geographic and environmental space. <br /> <br />Main Conclusions: Ecologically meaningful barriers to dispersal support recent genetic hypotheses of population subdivision. These barriers should be considered when delineating species management units to ensure sustainable harvest levels. Multisource data sets may produce more powerful niche predictions and represent a useful resource for data-poor species. Further, model results should be interpreted alongside complementary analyses for more effective conservation strategies.</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="2053968"><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="2053968"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 2053968; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=2053968]").text(description); $(".js-view-count[data-work-id=2053968]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 2053968; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='2053968']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 2053968, 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" } } $('.js-work-strip[data-work-id=2053968]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":2053968,"title":"Informing conservation units: barriers to dispersal for the yellow anaconda","translated_title":"","metadata":{"abstract":"Aim: Fine-scale population structure is often unaccounted for in the delineation of conservation units, potentially compromising long-term species persistence. Identifying biogeographic and environmental drivers of population boundaries is therefore of key conservation concern. We aimed to explore barriers to dispersal for the harvested yellow anaconda (Eunectes notaeus) using an ecological niche model. Our secondary aim was to test the relative geographic and environmental contributions of a multisource occurrence data set in species range predictions.\r\n\r\nLocation: Paraguay River drainage, central South America.\r\n\r\nMethods: We developed an ecological niche model for the yellow anaconda using Maxent and a multisource species occurrence data set. Following nine iterations of model development, nine environmental variables were selected for model inclusion. We used the models to identify potential barriers to dispersal and employed jackknifing to identify the primary environmental variables that best explain barrier presence. We assessed the geographic and environmental overlap of models built with each data subset.\r\n\r\nResults: Characterization of suitable habitat was found to be most powerful in northern Argentina and southern Paraguay. A persistent barrier to dispersal was identified in northern Argentina and corresponded to the presence of dry Cambisol soils. Data subsets were found to contribute different information to the final model in terms of geographic and environmental space.\r\n\r\nMain Conclusions: Ecologically meaningful barriers to dispersal support recent genetic hypotheses of population subdivision. These barriers should be considered when delineating species management units to ensure sustainable harvest levels. Multisource data sets may produce more powerful niche predictions and represent a useful resource for data-poor species. Further, model results should be interpreted alongside complementary analyses for more effective conservation strategies.","more_info":"Kershaw F, Waller T, Micucci P, Draque J, Barros M, Buongermini E, Pearson RG, and Mendez M. (2013). Informing conservation units: barriers to dispersal for the yellow anaconda. Diversity and Distributions, 19(9), 1164-1174..","publication_date":{"day":18,"month":6,"year":2013,"errors":{}}},"translated_abstract":"Aim: Fine-scale population structure is often unaccounted for in the delineation of conservation units, potentially compromising long-term species persistence. Identifying biogeographic and environmental drivers of population boundaries is therefore of key conservation concern. We aimed to explore barriers to dispersal for the harvested yellow anaconda (Eunectes notaeus) using an ecological niche model. Our secondary aim was to test the relative geographic and environmental contributions of a multisource occurrence data set in species range predictions.\r\n\r\nLocation: Paraguay River drainage, central South America.\r\n\r\nMethods: We developed an ecological niche model for the yellow anaconda using Maxent and a multisource species occurrence data set. Following nine iterations of model development, nine environmental variables were selected for model inclusion. We used the models to identify potential barriers to dispersal and employed jackknifing to identify the primary environmental variables that best explain barrier presence. We assessed the geographic and environmental overlap of models built with each data subset.\r\n\r\nResults: Characterization of suitable habitat was found to be most powerful in northern Argentina and southern Paraguay. A persistent barrier to dispersal was identified in northern Argentina and corresponded to the presence of dry Cambisol soils. Data subsets were found to contribute different information to the final model in terms of geographic and environmental space.\r\n\r\nMain Conclusions: Ecologically meaningful barriers to dispersal support recent genetic hypotheses of population subdivision. These barriers should be considered when delineating species management units to ensure sustainable harvest levels. Multisource data sets may produce more powerful niche predictions and represent a useful resource for data-poor species. 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UNEP World Conservation Monitoring Centre, Cambridge, UK, 36 pp."},"translated_abstract":null,"internal_url":"https://www.academia.edu/565934/State_of_the_world_s_protected_areas_an_annual_review_of_global_conservation_progress","translated_internal_url":"","created_at":"2011-05-05T00:34:18.547-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"State_of_the_world_s_protected_areas_an_annual_review_of_global_conservation_progress","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[{"id":4925,"name":"Marine Protected Areas","url":"https://www.academia.edu/Documents/in/Marine_Protected_Areas"},{"id":27851,"name":"Protected areas","url":"https://www.academia.edu/Documents/in/Protected_areas"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="1835939" id="workshops"><div class="js-work-strip profile--work_container" data-work-id="22143639"><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/22143639/SMM_2015_Integrating_genetics_into_the_Important_Marine_Mammal_Area_IMMA_identification_process"><img alt="Research paper thumbnail of SMM 2015: Integrating genetics into the Important Marine Mammal Area (IMMA) identification process" 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/22143639/SMM_2015_Integrating_genetics_into_the_Important_Marine_Mammal_Area_IMMA_identification_process">SMM 2015: Integrating genetics into the Important Marine Mammal Area (IMMA) identification process</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This workshop aims to address the following question: How can we integrate genetic information in...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This workshop aims to address the following question: How can we integrate genetic information into spatial planning tools to support the identification of IMMAs? Genetic information has the potential to be highly informative in the application of the criteria employed to identify Important Marine Mammal Areas (IMMAs) in a manner that complements and enhances existing approaches based in biodiversity metrics, habitat maps, satellite telemetry studies, and expert opinion. Therefore, there is a significant need to ensure this data is considered in a systematic way during the IMMA identification process. It is the goal of this workshop to examine how genetic data for marine mammals can be visualized geospatially to support the identification of IMMAs using the marine spatial planning tool SeaSketch. Developing an approach for integrating genetics into spatial planning for marine mammals also poses a series of unique considerations. For example, many species are highly mobile, are often only sampled in parts of their geographic range, and display a range of life history behaviors that may result in complex genetic population patterns. The second part of this workshop will focus on developing recommendations on how these issues can be clearly communicated to planners to ensure that genetic data are correctly interpreted when being used for IMMA identification.</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="22143639"><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="22143639"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22143639; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=22143639]").text(description); $(".js-view-count[data-work-id=22143639]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 22143639; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='22143639']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 22143639, 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" } } $('.js-work-strip[data-work-id=22143639]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":22143639,"title":"SMM 2015: Integrating genetics into the Important Marine Mammal Area (IMMA) identification process","translated_title":"","metadata":{"abstract":"This workshop aims to address the following question: How can we integrate genetic information into spatial planning tools to support the identification of IMMAs? 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On one hand, you have to develop as a scientist in your home department and contribute to the larger body of knowledge on which your field is built; on the other hand, you are passionate about ensuring your work makes a difference on the ground. Although these different motivations for doing conservation-related research may sometimes feel like they run on separate paths, in this workshop we will help you figure out how to effectively forge intersections between them! We will discuss how to approach your research with conservation initiatives in mind: 1. forming both theoretical and applied research questions in your research design, 2. finding and maintaining partnerships with conservation organizations, 3.developing a research topic with those partners, 4. identifying the appropriate stakeholders for your work, and 5. ways in which to effectively disseminate information to those stakeholders. This workshop will help you make a difference on the ground as well as progress in your academic field.</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="8910069"><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="8910069"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8910069; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8910069]").text(description); $(".js-view-count[data-work-id=8910069]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8910069; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='8910069']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 8910069, 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" } } $('.js-work-strip[data-work-id=8910069]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":8910069,"title":"DIY: Crafting academic research for conservation","translated_title":"","metadata":{"abstract":"As young academics and conservationists, we often struggle to find the perfect balance between the theoretical and the applied aspects of our work. 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This workshop will help you make a difference on the ground as well as progress in your academic field.","more_info":"Cattau, M, Kershaw, F, Mihnovets, N \u0026 Takahashi, M (2014). DIY: Crafting academic research for conservation. Student Conference on Conservation Science - New York (SCCS-NY), New York, United States, 17th October 2014.","event_date":{"day":17,"month":10,"year":2014,"errors":{}}},"translated_abstract":"As young academics and conservationists, we often struggle to find the perfect balance between the theoretical and the applied aspects of our work. On one hand, you have to develop as a scientist in your home department and contribute to the larger body of knowledge on which your field is built; on the other hand, you are passionate about ensuring your work makes a difference on the ground. Although these different motivations for doing conservation-related research may sometimes feel like they run on separate paths, in this workshop we will help you figure out how to effectively forge intersections between them! We will discuss how to approach your research with conservation initiatives in mind: 1. forming both theoretical and applied research questions in your research design, 2. finding and maintaining partnerships with conservation organizations, 3.developing a research topic with those partners, 4. identifying the appropriate stakeholders for your work, and 5. ways in which to effectively disseminate information to those stakeholders. 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The importance of accounting for evolutionary processes in marine spatial planning efforts has been reflected in a range of policy mechanisms, including the Convention on Biological Diversity (CBD). Genetic tools can provide information that directly responds to this need, including the identification and distribution of species and population “units”, delineating habitat use of distinct populations, elucidating patterns of genetic connectivity - essential to the ecological coherence of MPA networks, and estimating effective population sizes. Protection of genetic diversity is becoming increasingly important due to climate change. Integration of genetic information into marine spatial planning has so far been lacking, however, despite significant scientific advances in the application of genetics in marine conservation and management. <br /> <br />To address this implementation gap, this Focus Group will bring together geneticists working in the field of marine protection with practitioners and technical developers of marine planning tools to develop an approach to integrate genetic information in a way that is both ecologically meaningful and useful for managers.</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="8365829"><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="8365829"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8365829; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8365829]").text(description); $(".js-view-count[data-work-id=8365829]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8365829; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='8365829']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 8365829, 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" } } $('.js-work-strip[data-work-id=8365829]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":8365829,"title":"IMCC3 FG21: Developing an approach for integrating genetics into MPA design and spatial planning processes.","translated_title":"","metadata":{"abstract":"The persistence of biodiversity requires the protection of evolutionary processes at the scale of ecosystems, species, and populations. The importance of accounting for evolutionary processes in marine spatial planning efforts has been reflected in a range of policy mechanisms, including the Convention on Biological Diversity (CBD). Genetic tools can provide information that directly responds to this need, including the identification and distribution of species and population “units”, delineating habitat use of distinct populations, elucidating patterns of genetic connectivity - essential to the ecological coherence of MPA networks, and estimating effective population sizes. Protection of genetic diversity is becoming increasingly important due to climate change. Integration of genetic information into marine spatial planning has so far been lacking, however, despite significant scientific advances in the application of genetics in marine conservation and management. \r\n\r\nTo address this implementation gap, this Focus Group will bring together geneticists working in the field of marine protection with practitioners and technical developers of marine planning tools to develop an approach to integrate genetic information in a way that is both ecologically meaningful and useful for managers.","more_info":"Kershaw, F \u0026 Rosenbaum, HC (organizers) (2014). 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(2016). Approaches and considerations for understanding connectivity fo...</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">Rosenbaum HC., Kershaw F. (2016). Approaches and considerations for understanding connectivity for marine mammals using various techniques. Invited Presentation. Arctic Council/PAME workshop - Science and tools for developing Arctic MPA networks: Understanding connectivity and identifying management models. 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Oral Presentation. 4th International Marine Conservation Congress, St. Johns, Canada, 2nd August, 2016.</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="27651160"><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="27651160"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 27651160; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=27651160]").text(description); $(".js-view-count[data-work-id=27651160]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 27651160; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='27651160']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 27651160, 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" } } $('.js-work-strip[data-work-id=27651160]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":27651160,"title":"Developing a geospatial genetics toolkit to inform marine protection and spatial planning.","translated_title":"","metadata":{"abstract":"Kershaw F., Rosenbaum HC. 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Humpback whale (Megaptera novaeangliae) populations display complex genetic structures that have not been fully resolved at all spatial scales. We generated a data set representing the most robust sampling of “breeding stocks” across the South Atlantic and western Indian Oceans in order to assess genetic differentiation between putative populations, and simulate the number of genetic clusters without a priori population information. We estimated rates of gene flow using maximum likelihood and Bayesian approaches. Our results reveal that patterns of humpback whale population genetic structure vary at different spatial scales. At the ocean basin scale, population structure is governed chiefly by geographic distance and female fidelity to breeding areas and male-biased gene flow. At scales within ocean basins, signals of genetic structure exist but are often less evident due to high levels of gene flow for both males and females. Our findings suggest demographically discrete populations may not be fully or currently accounted for in management designations, which may have ramifications for assessments of the current status and continued protections for populations still undergoing recovery from commercial whaling.</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="8365706"><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="8365706"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8365706; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8365706]").text(description); $(".js-view-count[data-work-id=8365706]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8365706; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='8365706']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 8365706, 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" } } $('.js-work-strip[data-work-id=8365706]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":8365706,"title":"Population complexity of the humpback whale: implications for managing biologically meaningful units at multiple scales","translated_title":"","metadata":{"abstract":"Identifying biologically meaningful population “units”, and elucidating patterns of gene flow and migratory connections, is critical to the development of management measures capable of protecting the long-term persistence of highly mobile marine species. 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Oral presentation.","event_date":{"day":17,"month":5,"year":2011,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/1706160/New_views_on_population_structure_among_cetaceans_in_coastal_and_pelagic_environments","translated_internal_url":"","created_at":"2011-11-28T08:52:54.905-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":425612,"coauthors_can_edit":true,"document_type":"talk","co_author_tags":[],"downloadable_attachments":[],"slug":"New_views_on_population_structure_among_cetaceans_in_coastal_and_pelagic_environments","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":425612,"first_name":"Francine","middle_initials":null,"last_name":"Kershaw","page_name":"FrancineKershaw","domain_name":"columbia","created_at":"2011-05-04T23:55:42.023-07:00","display_name":"Francine Kershaw","url":"https://columbia.academia.edu/FrancineKershaw"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1686766"><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/1686766/Phylogenetic_relationships_among_the_Bryde_s_whales_Balaenoptera_New_data_from_areas_in_the_Northern_Indian_Ocean_and_a_combined_analysis_of_all_available_molecular_data"><img alt="Research paper thumbnail of Phylogenetic relationships among the Bryde’s whales (Balaenoptera): New data from areas in the Northern Indian Ocean and a combined analysis of all available molecular data" 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/1686766/Phylogenetic_relationships_among_the_Bryde_s_whales_Balaenoptera_New_data_from_areas_in_the_Northern_Indian_Ocean_and_a_combined_analysis_of_all_available_molecular_data">Phylogenetic relationships among the Bryde’s whales (Balaenoptera): New data from areas in the Northern Indian Ocean and a combined analysis of all available molecular data</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The identity, number of species, and relationships within the Bryde’s whale complex, specifically...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The identity, number of species, and relationships within the Bryde’s whale complex, specifically between those classed as ‘small form’ and ‘ordinary form’, is unclear. With the aim of elucidating these relationships, we present the first comprehensive analysis completed using all publicly available sequence data available on Genbank and data collected directly from North Indian Ocean (NIO) populations of Bryde’s whale. We undertook a diagnostic character approach (grouping individuals using Population Aggregation Analysis) and a combined phylogenetic analysis. The data thus far show low diversity between regions in both ‘small form’ and ‘ordinary form’ Bryde’s whales from several distant sampling sites in the NIO. The most common haplotypes for each form are shared between at least two of the three sampling sites. This genetic similarity may indicate an insular population of each form within the NIO. Our phylogenetic analyses show limited geographic structure within forms and high levels of structuring across these forms, despite geography. These results have implications for sustainable population management, as implemented by the International Whaling Commission, and contribute toward a better understanding of this challenging species complex, including informing future work on the resolution of inshore and offshore forms.</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="1686766"><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="1686766"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1686766; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1686766]").text(description); $(".js-view-count[data-work-id=1686766]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1686766; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1686766']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1686766, 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" } } $('.js-work-strip[data-work-id=1686766]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1686766,"title":"Phylogenetic relationships among the Bryde’s whales (Balaenoptera): New data from areas in the Northern Indian Ocean and a combined analysis of all available molecular data","translated_title":"","metadata":{"abstract":"The identity, number of species, and relationships within the Bryde’s whale complex, specifically between those classed as ‘small form’ and ‘ordinary form’, is unclear. 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Rosenbaum. \n\nPoster Presentation","event_date":{"day":17,"month":5,"year":2011,"errors":{}},"organization":"2nd International Marine Conservation Congress (IMCC2)","conference_end_date":{"day":18,"month":5,"year":2011,"errors":{}},"conference_start_date":{"day":14,"month":5,"year":2011,"errors":{}}},"translated_abstract":"The identity, number of species, and relationships within the Bryde’s whale complex, specifically between those classed as ‘small form’ and ‘ordinary form’, is unclear. With the aim of elucidating these relationships, we present the first comprehensive analysis completed using all publicly available sequence data available on Genbank and data collected directly from North Indian Ocean (NIO) populations of Bryde’s whale. We undertook a diagnostic character approach (grouping individuals using Population Aggregation Analysis) and a combined phylogenetic analysis. The data thus far show low diversity between regions in both ‘small form’ and ‘ordinary form’ Bryde’s whales from several distant sampling sites in the NIO. The most common haplotypes for each form are shared between at least two of the three sampling sites. This genetic similarity may indicate an insular population of each form within the NIO. Our phylogenetic analyses show limited geographic structure within forms and high levels of structuring across these forms, despite geography. 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(2011). Resistance seascapes for highly mobile cetaceans: Implications for open ocean...</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">Kershaw, F. (2011). Resistance seascapes for highly mobile cetaceans: Implications for open ocean marine spatial planning and policy. 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