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class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Luca Borger (Börger)" 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/14029/4718/1164091/s200_luca.b_rger.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Luca Borger (Börger)</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://swansea.academia.edu/">Swansea University</a>, <a class="u-tcGrayDarker" href="https://swansea.academia.edu/Departments/Biosciences/Documents">Biosciences</a>, <span class="u-tcGrayDarker">Faculty Member</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">90</p></div></a><a><div class="stat-container js-profile-coauthors" data-broccoli-component="user-info.coauthors-count" data-click-track="profile-expand-user-info-coauthors"><p class="label">Co-authors</p><p class="data">15</p></div></a><a href="https://swansea.academia.edu/LucaBorger/Analytics"><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></a></div><div class="user-bio-container"><div class="profile-bio fake-truncate js-profile-about" style="margin: 0px;">Professor in Ecology and Biodiversity at the Department of Biosciences and co-Director of the Centre for Biomathematics at Swansea University, and Chair of the Movement Ecology Special Interest Group of the British Ecological Society. I am broadly interested in behavioural, population and community ecology, including management applications and methodological aspects. My work is not system specific but question-driven and as such I work on contrasting study systems (invertebrates, vertebrates, and plants), using experimental, statistical, and simulation modelling approaches.<br /><br />I obtained a M.Sc. in Biology at the U. of Pisa (Italy) and a PhD in Zoology at Cambridge University (UK), including 2 years as visiting PhD student at the Centre for Population Biology at Silwood Park (Imperial College), followed by postdoctoral research in Canada (U. of Guelph) and France (CNRS & INRA).<br /><br />Before doing science I obtained a B. Mus. (music performance - French horn) and worked for over 10 years as a professional musician.<br /><br />You might see my name written also as 'Luca Börger' or 'Luca Boerger' - it's always me.<br /><br />For frequent updates, follow me on Twitter:<br />http://twitter.com/lucaborger.<br /><span class="u-fw700">Phone: </span>+44 (0)1792 51 3112<br /><b>Address: </b>Luca Börger <br />Department of Biosciences <br />College of Science, <br />Swansea University, <br />Singleton Park, <br />Swansea  SA2 8PP <br />UK<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="14029">View All (17)</a></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" 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href="https://www.academia.edu/1468596/Quantifying_individual_differences_in_dispersal_using_net_squared_displacement_Oxford_University_Press_2012_"><img alt="Research paper thumbnail of Quantifying individual differences in dispersal using net squared displacement Oxford University Press (2012)." class="work-thumbnail" src="https://attachments.academia-assets.com/30458326/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/1468596/Quantifying_individual_differences_in_dispersal_using_net_squared_displacement_Oxford_University_Press_2012_">Quantifying individual differences in dispersal using net squared displacement Oxford University Press (2012).</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Quantifying individual differences and the phenotypic correlates of dispersal are of considerable...</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">Quantifying individual differences and the phenotypic correlates of dispersal are of considerable interest for obtaining a better understanding of the mechanisms of dispersal. The aim of the chapter is to present a new approach for modelling animal dispersal, based on net squared displacement statistics combined with a nonlinear hierarchical modelling framework. It allows efficient construction of accurate population redistribution kernels, quantification of individual differences in dispersal, and testing hypothesized correlates of the latter. The chapter is organised as follows. First, we explore the theoretical basis for using net squared displacement as a statistical modelling approach. This is followed by a simulation study to investigate the data requirements and power of the proposed method, ended by general conclusions.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3fe6d21edfe8fd8dcac7761fe70f3bd0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":30458326,"asset_id":1468596,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/30458326/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="1468596"><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="1468596"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1468596; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1468596]").text(description); $(".js-view-count[data-work-id=1468596]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1468596; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1468596']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1468596, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3fe6d21edfe8fd8dcac7761fe70f3bd0" } } $('.js-work-strip[data-work-id=1468596]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1468596,"title":"Quantifying individual differences in dispersal using net squared displacement Oxford University Press (2012).","translated_title":"","metadata":{"abstract":"Quantifying individual differences and the phenotypic correlates of dispersal are of considerable interest for obtaining a better understanding of the mechanisms of dispersal. The aim of the chapter is to present a new approach for modelling animal dispersal, based on net squared displacement statistics combined with a nonlinear hierarchical modelling framework. It allows efficient construction of accurate population redistribution kernels, quantification of individual differences in dispersal, and testing hypothesized correlates of the latter. The chapter is organised as follows. First, we explore the theoretical basis for using net squared displacement as a statistical modelling approach. This is followed by a simulation study to investigate the data requirements and power of the proposed method, ended by general conclusions.","more_info":"\"Book chapter (ch. 17) coauthored with John Fryxell. In: Clobert J, Baguette M, Benton T, Bullock J (eds.) 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This is followed by a simulation study to investigate the data requirements and power of the proposed method, ended by general conclusions.","internal_url":"https://www.academia.edu/1468596/Quantifying_individual_differences_in_dispersal_using_net_squared_displacement_Oxford_University_Press_2012_","translated_internal_url":"","created_at":"2012-03-08T20:16:50.986-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"book","co_author_tags":[],"downloadable_attachments":[{"id":30458326,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/30458326/thumbnails/1.jpg","file_name":"Chapter_17_-_Borger_and_Fryxell.pdf","download_url":"https://www.academia.edu/attachments/30458326/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Quantifying_individual_differences_in_di.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/30458326/Chapter_17_-_Borger_and_Fryxell-libre.pdf?1393876806=\u0026response-content-disposition=attachment%3B+filename%3DQuantifying_individual_differences_in_di.pdf\u0026Expires=1731454989\u0026Signature=KSnBNBAy7H6dRj5DV~ZXBXAdIqIjtKLxKfAzy4ZvL6~65EPgVuGkt5dXCyeaXblEpCpr8jfkANemCFH61bixc0cc3g5AyBxa3HwnvTzBFC-o~qqY5bGwtjp539b~FNwoijN6pHzBA2S1X5owUPE6ZBclluvs1OjMrAO-0eTvb5ixnWUxQyaYv3thD61zVnAsTg0rbjtcU4Hhc3VTPkf6LrAF-NJpLryRqNC~CoTVyUBMfKBtnnma2LA080OgTjBFBSEl9UrQHJusQyJJBI1mPTZJUXntVTaJxIkNO9NjjdtaYe7rL08nsHzWTJLbX3g-cVZpvximAus-uJ3tuiOx8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Quantifying_individual_differences_in_dispersal_using_net_squared_displacement_Oxford_University_Press_2012_","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[{"id":30458326,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/30458326/thumbnails/1.jpg","file_name":"Chapter_17_-_Borger_and_Fryxell.pdf","download_url":"https://www.academia.edu/attachments/30458326/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Quantifying_individual_differences_in_di.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/30458326/Chapter_17_-_Borger_and_Fryxell-libre.pdf?1393876806=\u0026response-content-disposition=attachment%3B+filename%3DQuantifying_individual_differences_in_di.pdf\u0026Expires=1731454989\u0026Signature=KSnBNBAy7H6dRj5DV~ZXBXAdIqIjtKLxKfAzy4ZvL6~65EPgVuGkt5dXCyeaXblEpCpr8jfkANemCFH61bixc0cc3g5AyBxa3HwnvTzBFC-o~qqY5bGwtjp539b~FNwoijN6pHzBA2S1X5owUPE6ZBclluvs1OjMrAO-0eTvb5ixnWUxQyaYv3thD61zVnAsTg0rbjtcU4Hhc3VTPkf6LrAF-NJpLryRqNC~CoTVyUBMfKBtnnma2LA080OgTjBFBSEl9UrQHJusQyJJBI1mPTZJUXntVTaJxIkNO9NjjdtaYe7rL08nsHzWTJLbX3g-cVZpvximAus-uJ3tuiOx8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics"},{"id":1063,"name":"Environmental Education","url":"https://www.academia.edu/Documents/in/Environmental_Education"},{"id":1279,"name":"Science Communication","url":"https://www.academia.edu/Documents/in/Science_Communication"},{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology"},{"id":2749,"name":"Animal Behavior","url":"https://www.academia.edu/Documents/in/Animal_Behavior"},{"id":2982,"name":"Movement Ecology","url":"https://www.academia.edu/Documents/in/Movement_Ecology"},{"id":4266,"name":"Wildlife Biology","url":"https://www.academia.edu/Documents/in/Wildlife_Biology"},{"id":6177,"name":"Modeling","url":"https://www.academia.edu/Documents/in/Modeling"},{"id":7651,"name":"Wildlife Ecology And Management","url":"https://www.academia.edu/Documents/in/Wildlife_Ecology_And_Management"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":17825,"name":"Biodiversity","url":"https://www.academia.edu/Documents/in/Biodiversity"},{"id":19406,"name":"Human-wildlife conflicts","url":"https://www.academia.edu/Documents/in/Human-wildlife_conflicts"},{"id":22413,"name":"Wildlife Conservation","url":"https://www.academia.edu/Documents/in/Wildlife_Conservation"},{"id":22838,"name":"Animal Behaviour","url":"https://www.academia.edu/Documents/in/Animal_Behaviour"},{"id":25540,"name":"Dispersal Ecology","url":"https://www.academia.edu/Documents/in/Dispersal_Ecology"},{"id":25730,"name":"Behavioral Ecology","url":"https://www.academia.edu/Documents/in/Behavioral_Ecology"}],"urls":[{"id":221081,"url":"http://bit.ly/RCo1HB"}]}, 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="206575"><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/206575/Migration_quantified_Constructing_models_and_linking_them_with_data"><img alt="Research paper thumbnail of Migration quantified: Constructing models and linking them with data" class="work-thumbnail" src="https://attachments.academia-assets.com/7098769/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/206575/Migration_quantified_Constructing_models_and_linking_them_with_data">Migration quantified: Constructing models and linking them with data</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">"This chapter discusses how models, combined with modern data sources and statistical methods, ca...</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 chapter discusses how models, combined with modern data sources and statistical methods, can be used to test different hypotheses about the causes of migration. Mathematical formalisms for migration are presented. The ecological mechanisms that could spontaneously have given rise to migration-like patterns of space use from the interaction within and between groups of animals and their environment are discussed, showing that migration is best seen as to lie on a continuum from sedentary to nomadic movement patterns and not as a clearly distinct movement behaviour. Given the multitude of potential processes leading to migration, and the constraints imposed by data collection methods, it may be difficult to observe and identify the original cause. With this caveat in mind, the use of inferential methods to detect, quantify and identify the underlying mechanisms of migration is discussed and the links between models, data and inference are illustrated using three case studies. <br />##################################################### <br /> <br />Updates: <br />The book already sold out! A corrected reprint is available since Dec 2011."</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="07f0b0d2340153f2af95c6d6d3df28ed" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":7098769,"asset_id":206575,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/7098769/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="206575"><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="206575"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 206575; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=206575]").text(description); $(".js-view-count[data-work-id=206575]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 206575; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='206575']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 206575, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "07f0b0d2340153f2af95c6d6d3df28ed" } } $('.js-work-strip[data-work-id=206575]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":206575,"title":"Migration quantified: Constructing models and linking them with data","translated_title":"","metadata":{"abstract":"\"This chapter discusses how models, combined with modern data sources and statistical methods, can be used to test different hypotheses about the causes of migration. Mathematical formalisms for migration are presented. The ecological mechanisms that could spontaneously have given rise to migration-like patterns of space use from the interaction within and between groups of animals and their environment are discussed, showing that migration is best seen as to lie on a continuum from sedentary to nomadic movement patterns and not as a clearly distinct movement behaviour. Given the multitude of potential processes leading to migration, and the constraints imposed by data collection methods, it may be difficult to observe and identify the original cause. With this caveat in mind, the use of inferential methods to detect, quantify and identify the underlying mechanisms of migration is discussed and the links between models, data and inference are illustrated using three case studies.\r\n#####################################################\r\n\r\nUpdates:\r\nThe book already sold out! A corrected reprint is available since Dec 2011.\"","more_info":"Book chapter coauthored with Jason Matthiopoulos, Ricardo Holdo, Juan Morales, Iain Couzin and Ed McCauley. in E. J. Milner-Gulland, J. M. Fryxell and A. R. E. Sinclair, eds. Animal Migration: A Synthesis.","publisher":"Oxford University Press","publication_date":{"day":null,"month":null,"year":2011,"errors":{}}},"translated_abstract":"\"This chapter discusses how models, combined with modern data sources and statistical methods, can be used to test different hypotheses about the causes of migration. Mathematical formalisms for migration are presented. The ecological mechanisms that could spontaneously have given rise to migration-like patterns of space use from the interaction within and between groups of animals and their environment are discussed, showing that migration is best seen as to lie on a continuum from sedentary to nomadic movement patterns and not as a clearly distinct movement behaviour. Given the multitude of potential processes leading to migration, and the constraints imposed by data collection methods, it may be difficult to observe and identify the original cause. With this caveat in mind, the use of inferential methods to detect, quantify and identify the underlying mechanisms of migration is discussed and the links between models, data and inference are illustrated using three case studies.\r\n#####################################################\r\n\r\nUpdates:\r\nThe book already sold out! 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$(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="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Luca Borger (Börger)</h3></div><div class="js-work-strip profile--work_container" data-work-id="107434675"><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/107434675/Wilson_et_al_2019_DBA_data_xlsx"><img alt="Research paper thumbnail of Wilson et al 2019_DBA data.xlsx" 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/107434675/Wilson_et_al_2019_DBA_data_xlsx">Wilson et al 2019_DBA data.xlsx</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Data associated with the paper &quot;Estimates for energy expenditure in free-living animals usin...</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">Data associated with the paper &quot;Estimates for energy expenditure in free-living animals using acceleration proxies; a reappraisal&quot;, accepted for publication in the Journal of Animal Ecology in 2019.</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="107434675"><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="107434675"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434675; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107434674"><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/107434674/Minimizing_the_impact_of_biologging_devices_Using_computational_fluid_dynamics_for_optimizing_tag_design_and_positioning"><img alt="Research paper thumbnail of Minimizing the impact of biologging devices: Using computational fluid dynamics for optimizing tag design and positioning" class="work-thumbnail" src="https://attachments.academia-assets.com/106101760/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434674/Minimizing_the_impact_of_biologging_devices_Using_computational_fluid_dynamics_for_optimizing_tag_design_and_positioning">Minimizing the impact of biologging devices: Using computational fluid dynamics for optimizing tag design and positioning</a></div><div class="wp-workCard_item"><span>Methods in Ecology and Evolution</span><span>, Jun 18, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0715484c625fb500514bd3051d0cd74d" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101760,"asset_id":107434674,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101760/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107434674"><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="107434674"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434674; 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href="https://www.academia.edu/107434673/Traits_of_neighbouring_plants_and_space_limitation_determine_intraspecific_trait_variability_in_semi_arid_shrublands"><img alt="Research paper thumbnail of Traits of neighbouring plants and space limitation determine intraspecific trait variability in semi-arid shrublands" class="work-thumbnail" src="https://attachments.academia-assets.com/106101792/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434673/Traits_of_neighbouring_plants_and_space_limitation_determine_intraspecific_trait_variability_in_semi_arid_shrublands">Traits of neighbouring plants and space limitation determine intraspecific trait variability in semi-arid shrublands</a></div><div class="wp-workCard_item"><span>Journal of Ecology</span><span>, Oct 15, 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A comprehensive assessment of stream fragmentation in Great Britain" class="work-thumbnail" src="https://attachments.academia-assets.com/106101793/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434672/A_comprehensive_assessment_of_stream_fragmentation_in_Great_Britain">A comprehensive assessment of stream fragmentation in Great Britain</a></div><div class="wp-workCard_item"><span>Science of The Total Environment</span><span>, Jul 1, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="67bd0010e0fa1dbf0e8416bc0b5e09bd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" 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require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "67bd0010e0fa1dbf0e8416bc0b5e09bd" } } $('.js-work-strip[data-work-id=107434672]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107434672,"title":"A comprehensive assessment of stream fragmentation in Great Britain","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Artificial barriers are one of the main threats to river ecosystems, resulting in habitat fragmentation and loss of connectivity. Yet, the abundance and distribution of most artificial barriers, excluding high-head dams, is poorly documented. We provide a comprehensive assessment of the distribution and typology of artificial barriers in Great Britain, and estimate for the first time the extent of river fragmentation. To this end, barrier data were compiled from existing databases and were ground-truthed by field surveys in England, Scotland and Wales to derive a correction factor for barrier density across Great Britain. Field surveys indicate that existing barrier databases underestimate barrier density by 68%, particularly in the case of low-head structures (\u003c1 m) which are often missing from current records. Field-corrected barrier density estimates ranged from 0.48 barriers/km in Scotland to 0.63 barriers/km in Wales, and 0.75 barriers/km in England. Corresponding estimates of stream fragmentation by weirs and dams only, measured as mean barrier-free length, were 12.30 km in Scotland, 6.68 km in Wales and 5.29 km in England, suggesting the extent of river modification differs between regions. Our study indicates that 97% of the river network in Great Britain is fragmented and less than 1% of the catchments are free of artificial barriers.","publication_date":{"day":1,"month":7,"year":2019,"errors":{}},"publication_name":"Science of The Total Environment","grobid_abstract_attachment_id":106101793},"translated_abstract":null,"internal_url":"https://www.academia.edu/107434672/A_comprehensive_assessment_of_stream_fragmentation_in_Great_Britain","translated_internal_url":"","created_at":"2023-10-01T02:17:04.175-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":106101793,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101793/thumbnails/1.jpg","file_name":"0050175-10052019150902.pdf","download_url":"https://www.academia.edu/attachments/106101793/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_comprehensive_assessment_of_stream_fra.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101793/0050175-10052019150902-libre.pdf?1696153953=\u0026response-content-disposition=attachment%3B+filename%3DA_comprehensive_assessment_of_stream_fra.pdf\u0026Expires=1732361461\u0026Signature=ajtvBfw04Dyw2vBGH1jVXyvCQ6Pnal4na8mXGWZnAOpUgunbVBwHmxxVAs2LVdAE-uywBT8Y~VOBUh8ZSQNu9fFHayFycBs~HJX4veQYc~5CaNf8SZvYvoPvXcO14W16S-hYsKrGkeGYgPomF87i~Sff6H3J-NEBFBuauelrh4LUwBji~nNEZwfaD846n7OpZQmTfDHTlW3QP7e~RGdRBXWX39IkAPXuNIxAVdBiIxICNaWx-vobSIvpt4tsTtsHlp7R~V8NLqmYueuJfL~-15Qie17HjP6doQT2y9kGuZJgnY82oVzCaUby6tMmmoLiR2SanIOK~IAQfqkCi2O82g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_comprehensive_assessment_of_stream_fragmentation_in_Great_Britain","translated_slug":"","page_count":38,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[{"id":106101793,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101793/thumbnails/1.jpg","file_name":"0050175-10052019150902.pdf","download_url":"https://www.academia.edu/attachments/106101793/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_comprehensive_assessment_of_stream_fra.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101793/0050175-10052019150902-libre.pdf?1696153953=\u0026response-content-disposition=attachment%3B+filename%3DA_comprehensive_assessment_of_stream_fra.pdf\u0026Expires=1732361461\u0026Signature=ajtvBfw04Dyw2vBGH1jVXyvCQ6Pnal4na8mXGWZnAOpUgunbVBwHmxxVAs2LVdAE-uywBT8Y~VOBUh8ZSQNu9fFHayFycBs~HJX4veQYc~5CaNf8SZvYvoPvXcO14W16S-hYsKrGkeGYgPomF87i~Sff6H3J-NEBFBuauelrh4LUwBji~nNEZwfaD846n7OpZQmTfDHTlW3QP7e~RGdRBXWX39IkAPXuNIxAVdBiIxICNaWx-vobSIvpt4tsTtsHlp7R~V8NLqmYueuJfL~-15Qie17HjP6doQT2y9kGuZJgnY82oVzCaUby6tMmmoLiR2SanIOK~IAQfqkCi2O82g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":12653,"name":"Rivers","url":"https://www.academia.edu/Documents/in/Rivers"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":81793,"name":"Dams","url":"https://www.academia.edu/Documents/in/Dams"},{"id":151848,"name":"Fragmentation","url":"https://www.academia.edu/Documents/in/Fragmentation"},{"id":226366,"name":"Connectivity","url":"https://www.academia.edu/Documents/in/Connectivity"},{"id":893294,"name":"Weirs","url":"https://www.academia.edu/Documents/in/Weirs"},{"id":3196873,"name":"obstacle inventory","url":"https://www.academia.edu/Documents/in/obstacle_inventory"},{"id":3196874,"name":"instream infrastructure","url":"https://www.academia.edu/Documents/in/instream_infrastructure"}],"urls":[{"id":34196014,"url":"https://dro.dur.ac.uk/27898/1/27898.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107434671"><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/107434671/Uncovering_multiscale_effects_of_aridity_and_biotic_interactions_on_the_functional_structure_of_Mediterranean_shrublands"><img alt="Research paper thumbnail of Uncovering multiscale effects of aridity and biotic interactions on the functional structure of Mediterranean shrublands" class="work-thumbnail" src="https://attachments.academia-assets.com/106101796/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434671/Uncovering_multiscale_effects_of_aridity_and_biotic_interactions_on_the_functional_structure_of_Mediterranean_shrublands">Uncovering multiscale effects of aridity and biotic interactions on the functional structure of Mediterranean shrublands</a></div><div class="wp-workCard_item"><span>Journal of Ecology</span><span>, Mar 26, 2013</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c187285ec703102f01456b5f90e4fa5e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101796,"asset_id":107434671,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101796/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107434671"><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="107434671"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434671; 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Habitat filtering (HF, trait convergence) and niche differentiation (ND, trait divergence) are known to impact upon plant community structure. Both processes integrate individual responses to the abiotic environment and biotic interactions. Thus, it is difficult to clearly identify the underlying abiotic and biotic factors that ultimately impact community structure by looking at community-level patterns of trait divergence or convergence alone. 2. We used a functional trait-based and multiscale approach to assess how biotic interactions and aridity determine the functional structure of semi-arid shrublands sampled along a large aridity gradient in Spain. At the regional scale, we investigated functional differences among species (axes of specialization) to identify important traits for community assembly. At the community scale, we evaluated the relative impact of HF and ND on community structure using a null model approach. Finally, at the plant neighbourhood scale, we evaluated the impact of biotic interactions on community structure by investigating the spatial patterns of trait aggregation. 3. The shrub species surveyed can be separated along four axes of specialization based on their above-ground architecture and leaf morphology. Our community scale analysis suggested that the functional structure of semi-arid communities was clearly non-random, HF and ND acting independently on different traits to determine community structure along the aridity gradient. At the plant neighbourhood scale, the spatial distribution of species was also clearly not random, suggesting that competition and facilitation impacted on the observed changes in the functional diversity of shrubland communities along the aridity gradient. 4. Synthesis: Our results demonstrated that HF and ND acted simultaneously on independent traits to jointly determine community structure. Most importantly, our multiscale approach suggested that competition and facilitation interplayed with aridity to determine this structure. Competition appeared to be constant along the aridity gradient and explained the high functional diversity observed in semi-arid shrublands. Facilitation affected subordinate and rare species and, thus, may act to enhance the biodiversity of these ecosystems. Finally, the framework employed in our study allows moving forward from the examination of patterns to the development of mechanistic traitbased approaches to study plant community assembly.","publication_date":{"day":26,"month":3,"year":2013,"errors":{}},"publication_name":"Journal of 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competition","url":"https://www.academia.edu/Documents/in/Plant_competition"},{"id":133085,"name":"Trait","url":"https://www.academia.edu/Documents/in/Trait"},{"id":154235,"name":"Community Structure","url":"https://www.academia.edu/Documents/in/Community_Structure"},{"id":163307,"name":"Facilitation","url":"https://www.academia.edu/Documents/in/Facilitation"},{"id":176282,"name":"Plant Functional Traits","url":"https://www.academia.edu/Documents/in/Plant_Functional_Traits"},{"id":238830,"name":"Shrubland","url":"https://www.academia.edu/Documents/in/Shrubland"},{"id":304586,"name":"Aridity","url":"https://www.academia.edu/Documents/in/Aridity"},{"id":350193,"name":"Mediterranean Shrubs","url":"https://www.academia.edu/Documents/in/Mediterranean_Shrubs"},{"id":496815,"name":"Arid","url":"https://www.academia.edu/Documents/in/Arid"},{"id":1485760,"name":"Niche Differentiation","url":"https://www.academia.edu/Documents/in/Niche_Differentiation"}],"urls":[{"id":34196013,"url":"https://doi.org/10.1111/1365-2745.12063"}]}, 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="107434670"><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/107434670/Estimates_for_energy_expenditure_in_free_living_animals_using_acceleration_proxies_A_reappraisal"><img alt="Research paper thumbnail of Estimates for energy expenditure in free‐living animals using acceleration proxies: A reappraisal" class="work-thumbnail" src="https://attachments.academia-assets.com/106101757/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434670/Estimates_for_energy_expenditure_in_free_living_animals_using_acceleration_proxies_A_reappraisal">Estimates for energy expenditure in free‐living animals using acceleration proxies: A reappraisal</a></div><div class="wp-workCard_item"><span>Journal of Animal Ecology</span><span>, Jun 27, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6abed8fa89fe3e6b4324c71f83b7410c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101757,"asset_id":107434670,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101757/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa 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})(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6abed8fa89fe3e6b4324c71f83b7410c" } } $('.js-work-strip[data-work-id=107434670]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107434670,"title":"Estimates for energy expenditure in free‐living animals using acceleration proxies: A reappraisal","translated_title":"","metadata":{"publisher":"Wiley-Blackwell","grobid_abstract":"1. It is fundamentally important for many animal ecologists to quantify the costs of animal activities, although it is not straightforward to do so. The recording of triaxial acceleration by animal-attached devices has been proposed as a way forward for this, with the specific suggestion that dynamic body acceleration (DBA) be used as a proxy for movement-based power. 2. Dynamic body acceleration has now been validated frequently, both in the laboratory and in the field, although the literature still shows that some aspects of DBA theory and practice are misunderstood. Here, we examine the theory behind DBA and employ modelling approaches to assess factors that affect the link between DBA and energy expenditure, from the deployment of the tag, through to the calibration of DBA with energy use in laboratory and field settings. 3. Using data from a range of species and movement modes, we illustrate that vectorial and additive DBA metrics are proportional to each other. Either can be used as a proxy for energy and summed to estimate total energy expended over a given period, or divided by time to give a proxy for movement-related metabolic power. Nonetheless, we highlight how the ability of DBA to predict metabolic rate declines as the contribution of non-movement-related factors, such as heat production, increases.","publication_date":{"day":27,"month":6,"year":2019,"errors":{}},"publication_name":"Journal of Animal Ecology","grobid_abstract_attachment_id":106101757},"translated_abstract":null,"internal_url":"https://www.academia.edu/107434670/Estimates_for_energy_expenditure_in_free_living_animals_using_acceleration_proxies_A_reappraisal","translated_internal_url":"","created_at":"2023-10-01T02:17:03.609-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":106101757,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101757/thumbnails/1.jpg","file_name":"1365-2656.pdf","download_url":"https://www.academia.edu/attachments/106101757/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Estimates_for_energy_expenditure_in_free.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101757/1365-2656-libre.pdf?1696154093=\u0026response-content-disposition=attachment%3B+filename%3DEstimates_for_energy_expenditure_in_free.pdf\u0026Expires=1732361461\u0026Signature=SgUHsnj4HN2WMNd-nlLE-n6N~zMGNFawmU6BitpoOzkCjqa~hc~H8zSjuEETggUOFPmK4uujeH~OsZL2dZbSluv4M6BQ~uGY2VJ8kdleyrZ8qNb0f7DnMTuh6Qazus06x77xTirD1W-DoPqdG2gBQeyI1cUfWH0U7Q45bQ19lXQK7UatKfD0YJKVdaR2stBGg6npzuv7qadamODw8uuGIKCD9vk0BG7PVNHJDXloOhCdVj64N2dNArw8~j5mWaPf~AiRjrWYbqmoJ0rRfSu~NO4uJ97BTXcq~mfjR69dJtCkev0fAODhQ-wJkQFUkaWnUARLVTvPQ-WdRyDrWk-Olg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Estimates_for_energy_expenditure_in_free_living_animals_using_acceleration_proxies_A_reappraisal","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[{"id":106101757,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101757/thumbnails/1.jpg","file_name":"1365-2656.pdf","download_url":"https://www.academia.edu/attachments/106101757/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Estimates_for_energy_expenditure_in_free.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101757/1365-2656-libre.pdf?1696154093=\u0026response-content-disposition=attachment%3B+filename%3DEstimates_for_energy_expenditure_in_free.pdf\u0026Expires=1732361461\u0026Signature=SgUHsnj4HN2WMNd-nlLE-n6N~zMGNFawmU6BitpoOzkCjqa~hc~H8zSjuEETggUOFPmK4uujeH~OsZL2dZbSluv4M6BQ~uGY2VJ8kdleyrZ8qNb0f7DnMTuh6Qazus06x77xTirD1W-DoPqdG2gBQeyI1cUfWH0U7Q45bQ19lXQK7UatKfD0YJKVdaR2stBGg6npzuv7qadamODw8uuGIKCD9vk0BG7PVNHJDXloOhCdVj64N2dNArw8~j5mWaPf~AiRjrWYbqmoJ0rRfSu~NO4uJ97BTXcq~mfjR69dJtCkev0fAODhQ-wJkQFUkaWnUARLVTvPQ-WdRyDrWk-Olg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":14483,"name":"Animal Ecology","url":"https://www.academia.edu/Documents/in/Animal_Ecology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":36213,"name":"Energy Metabolism","url":"https://www.academia.edu/Documents/in/Energy_Metabolism"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":184304,"name":"Energy Expenditure","url":"https://www.academia.edu/Documents/in/Energy_Expenditure"},{"id":201957,"name":"Acceleration","url":"https://www.academia.edu/Documents/in/Acceleration"},{"id":1139123,"name":"Field Metabolic Rate","url":"https://www.academia.edu/Documents/in/Field_Metabolic_Rate"},{"id":1268642,"name":"Software Deployment","url":"https://www.academia.edu/Documents/in/Software_Deployment"}],"urls":[{"id":34196012,"url":"https://besjournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1365-2656.13040"}]}, 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="107434669"><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/107434669/More_than_one_million_barriers_fragment_Europe_s_rivers"><img alt="Research paper thumbnail of More than one million barriers fragment Europe’s rivers" class="work-thumbnail" src="https://attachments.academia-assets.com/106101791/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434669/More_than_one_million_barriers_fragment_Europe_s_rivers">More than one million barriers fragment Europe’s rivers</a></div><div class="wp-workCard_item"><span>Nature</span><span>, Dec 16, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bcd72b4eba3f3f3b98702afd03b02df6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101791,"asset_id":107434669,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101791/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107434669"><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="107434669"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434669; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "bcd72b4eba3f3f3b98702afd03b02df6" } } $('.js-work-strip[data-work-id=107434669]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107434669,"title":"More than one million barriers fragment Europe’s rivers","translated_title":"","metadata":{"publisher":"Nature Portfolio","grobid_abstract":"Rivers support some of Earth's richest biodiversity 1 and provide essential ecosystem services to society 2 , but they are often fragmented by barriers to free flow 3. In Europe, attempts to quantify river connectivity have been hampered by the absence of a harmonized barrier database. Here we show that there are at least 1.2 million instream barriers in 36 European countries (with a mean density of 0.74 barriers per kilometre), 68 per cent of which are structures less than two metres in height that are often overlooked. Standardized walkover surveys along 2,715 kilometres of stream length for 147 rivers indicate that existing records underestimate barrier numbers by about 61 per cent. The highest barrier densities occur in the heavily modified rivers of central Europe and the lowest barrier densities occur in the most remote, sparsely populated alpine areas. Across Europe, the main predictors of barrier density are agricultural pressure, density of river-road crossings, extent of surface water and elevation. Relatively unfragmented rivers are still found in the Balkans, the Baltic states and parts of Scandinavia and southern Europe, but these require urgent protection from proposed dam developments. Our findings could inform the implementation of the EU Biodiversity Strategy, which aims to reconnect 25,000 kilometres of Europe's rivers by 2030, but achieving this will require a paradigm shift in river restoration that recognizes the widespread impacts caused by small barriers. Rivers support some of the most biodiverse ecosystems in the world, but also some of the most threatened 1. The defining characteristic of non-ephemeral, natural rivers is that they flow 4 , and the most pervasive telltale of human impacts on rivers is the break in connectivity caused by artificial barriers to free flow 5. Without dams, weirs, fords and other instream structures it is difficult to imagine abstracting water, generating hydropower, controlling floods, ferrying goods, or even simply crossing waterways. Rivers provide essential services to society, but our use of rivers has nearly always involved fragmenting them 6. However, assessing river fragmentation has proved challenging 7 owing to the dendritic nature of rivers, the seasonality of the hydrological regime, and the spatio-temporal nature of barrier impacts 8,9. Broken rivers A critical challenge for quantifying river fragmentation is the lack of information on the abundance and location of all but the largest of dams, especially over spatial scales relevant for river basin management. Global database initiatives and developments in remote sensing are making it possible to map the location of large dams","publication_date":{"day":16,"month":12,"year":2020,"errors":{}},"publication_name":"Nature","grobid_abstract_attachment_id":106101791},"translated_abstract":null,"internal_url":"https://www.academia.edu/107434669/More_than_one_million_barriers_fragment_Europe_s_rivers","translated_internal_url":"","created_at":"2023-10-01T02:17:03.318-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":106101791,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101791/thumbnails/1.jpg","file_name":"s41586-020-3005-2.pdf","download_url":"https://www.academia.edu/attachments/106101791/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"More_than_one_million_barriers_fragment.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101791/s41586-020-3005-2-libre.pdf?1696153951=\u0026response-content-disposition=attachment%3B+filename%3DMore_than_one_million_barriers_fragment.pdf\u0026Expires=1732361461\u0026Signature=OBi3yq4w6uAAkxEqgBQxGXA6y42WyCI7yBvtLC5bZRK1SmnImZ3WVuMrnpQdRjMB31BoGV~jBoRHwa8wgxQnbuaSktArGlJjEbsko065mYr23Lo32Mz1Dgcm5KRkg4UbUM2G38muiC8ycU3r4zEWJZ-56ITZgGFQ7jr03PxmKuc9SQnuc8~-AS90AobsmBK4xA5HSn31cc0EnBwp02XzuTP9irb0MLeqXwkJF-EAmm8Qwmq9KpZ5UC1DvI8T1WtHOGVOrRz7GgLePn8v0-DaIss-QBDRilaibJGDJp2542ufPBxWyr-zjAlL6fL6gVbAjBJnRf6u5l-bkIEH-YKn8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"More_than_one_million_barriers_fragment_Europe_s_rivers","translated_slug":"","page_count":19,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[{"id":106101791,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101791/thumbnails/1.jpg","file_name":"s41586-020-3005-2.pdf","download_url":"https://www.academia.edu/attachments/106101791/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"More_than_one_million_barriers_fragment.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101791/s41586-020-3005-2-libre.pdf?1696153951=\u0026response-content-disposition=attachment%3B+filename%3DMore_than_one_million_barriers_fragment.pdf\u0026Expires=1732361461\u0026Signature=OBi3yq4w6uAAkxEqgBQxGXA6y42WyCI7yBvtLC5bZRK1SmnImZ3WVuMrnpQdRjMB31BoGV~jBoRHwa8wgxQnbuaSktArGlJjEbsko065mYr23Lo32Mz1Dgcm5KRkg4UbUM2G38muiC8ycU3r4zEWJZ-56ITZgGFQ7jr03PxmKuc9SQnuc8~-AS90AobsmBK4xA5HSn31cc0EnBwp02XzuTP9irb0MLeqXwkJF-EAmm8Qwmq9KpZ5UC1DvI8T1WtHOGVOrRz7GgLePn8v0-DaIss-QBDRilaibJGDJp2542ufPBxWyr-zjAlL6fL6gVbAjBJnRf6u5l-bkIEH-YKn8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":1142,"name":"Western Europe","url":"https://www.academia.edu/Documents/in/Western_Europe"},{"id":17825,"name":"Biodiversity","url":"https://www.academia.edu/Documents/in/Biodiversity"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":33319,"name":"Nature","url":"https://www.academia.edu/Documents/in/Nature"}],"urls":[{"id":34196011,"url":"https://dro.dur.ac.uk/32358/1/32358.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107434668"><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/107434668/How_Often_Should_Dead_Reckoned_Animal_Movement_Paths_be_Corrected_for_Drift"><img alt="Research paper thumbnail of How Often Should Dead-Reckoned Animal Movement Paths be Corrected for Drift?" class="work-thumbnail" src="https://attachments.academia-assets.com/106101794/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434668/How_Often_Should_Dead_Reckoned_Animal_Movement_Paths_be_Corrected_for_Drift">How Often Should Dead-Reckoned Animal Movement Paths be Corrected for Drift?</a></div><div class="wp-workCard_item"><span>Research Square (Research Square)</span><span>, Jun 9, 2021</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5918c8e4c14650d9a1e3a04a441d79a8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101794,"asset_id":107434668,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101794/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107434668"><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="107434668"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434668; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=107434668]").text(description); $(".js-view-count[data-work-id=107434668]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 107434668; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='107434668']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 107434668, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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Within the use of animal-attached tags, radio telemetry (including the Global Positioning System, 'GPS') is typically used to verify an animal's location periodically. Straight lines are typically drawn between these 'Verified Positions' ('VPs') so the interpolation of space-use is limited by the temporal and spatial resolution of the system's measurement. As such, parameters such as route-taken and distance travelled can be poorly represented when using VP systems alone. Dead-reckoning has been suggested as a technique to improve the accuracy and resolution of reconstructed movement paths, whilst maximising battery life of VP systems. This typically involves deriving travel vectors from motion sensor systems and periodically correcting path dimensions for drift with simultaneously deployed VP systems. How often paths should be corrected for drift, however, has remained unclear. Methods and results: Here, we review the utility of dead-reckoning across four contrasting model species using different forms of locomotion (the African lion Panthera leo, the red-tailed tropicbird Phaethon rubricauda, the Magellanic penguin Spheniscus magellanicus, and the imperial cormorant Leucocarbo atriceps). Simulations were performed to examine the extent of dead-reckoning error, relative to VPs, as a function of Verified Position correction (VP correction) rate and the effect of this on estimates of distance moved. Dead-reckoning error was greatest for animals travelling within air and water. We demonstrate how sources of measurement error can arise within VP-corrected dead-reckoned tracks and propose advancements to this procedure to maximise dead-reckoning accuracy. Conclusions: We review the utility of VP-corrected dead-reckoning according to movement type and consider a range of ecological questions that would benefit from dead-reckoning, primarily concerning animal-barrier interactions and foraging strategies.","publication_date":{"day":9,"month":6,"year":2021,"errors":{}},"publication_name":"Research Square (Research Square)","grobid_abstract_attachment_id":106101794},"translated_abstract":null,"internal_url":"https://www.academia.edu/107434668/How_Often_Should_Dead_Reckoned_Animal_Movement_Paths_be_Corrected_for_Drift","translated_internal_url":"","created_at":"2023-10-01T02:17:02.978-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":106101794,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101794/thumbnails/1.jpg","file_name":"s40317-021-00265-9.pdf","download_url":"https://www.academia.edu/attachments/106101794/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"How_Often_Should_Dead_Reckoned_Animal_Mo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101794/s40317-021-00265-9-libre.pdf?1696153958=\u0026response-content-disposition=attachment%3B+filename%3DHow_Often_Should_Dead_Reckoned_Animal_Mo.pdf\u0026Expires=1732361461\u0026Signature=KAT~rY54QN1VQNCDl4yTOO3vE7WMLQ1~DHpw3tm4Q24gWV-UToxx2lkba-Ncal3hhjjUiVGtittQMaJ79pdkoWKYCsd3LAIYckBrhR89p3yKKjxewkWYxpeDRJBHYztQ~is0Vk~UEXaMKxz8-2jPkhKd~PptVwCjBA7XKu08EmR4v4bJa48XovZ~P1HoGqjPS-GO1AfH3at1pTU1s~hdaDWls1qRWpkIy9~rZSuOZpNjckwLNgTxilKyj4B160f932sLKo1QxuPxS08bWwH5uPsog-wGRlRRHx6rxyoCvvZhnn1Fq~n7c08Cz-ax9aaCQcf0UEwyfTdnw1k5tKNYrQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"How_Often_Should_Dead_Reckoned_Animal_Movement_Paths_be_Corrected_for_Drift","translated_slug":"","page_count":22,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[{"id":106101794,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101794/thumbnails/1.jpg","file_name":"s40317-021-00265-9.pdf","download_url":"https://www.academia.edu/attachments/106101794/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"How_Often_Should_Dead_Reckoned_Animal_Mo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101794/s40317-021-00265-9-libre.pdf?1696153958=\u0026response-content-disposition=attachment%3B+filename%3DHow_Often_Should_Dead_Reckoned_Animal_Mo.pdf\u0026Expires=1732361461\u0026Signature=KAT~rY54QN1VQNCDl4yTOO3vE7WMLQ1~DHpw3tm4Q24gWV-UToxx2lkba-Ncal3hhjjUiVGtittQMaJ79pdkoWKYCsd3LAIYckBrhR89p3yKKjxewkWYxpeDRJBHYztQ~is0Vk~UEXaMKxz8-2jPkhKd~PptVwCjBA7XKu08EmR4v4bJa48XovZ~P1HoGqjPS-GO1AfH3at1pTU1s~hdaDWls1qRWpkIy9~rZSuOZpNjckwLNgTxilKyj4B160f932sLKo1QxuPxS08bWwH5uPsog-wGRlRRHx6rxyoCvvZhnn1Fq~n7c08Cz-ax9aaCQcf0UEwyfTdnw1k5tKNYrQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":25384,"name":"Global Positioning System","url":"https://www.academia.edu/Documents/in/Global_Positioning_System"},{"id":181597,"name":"Root-Mean Square Error","url":"https://www.academia.edu/Documents/in/Root-Mean_Square_Error"},{"id":839252,"name":"Dead Reckoning","url":"https://www.academia.edu/Documents/in/Dead_Reckoning"}],"urls":[{"id":34196010,"url":"https://doi.org/10.21203/rs.3.rs-587959/v1"}]}, 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="107434667"><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/107434667/Airflow_modelling_predicts_seabird_breeding_habitat_across_islands"><img alt="Research paper thumbnail of Airflow modelling predicts seabird breeding habitat across islands" class="work-thumbnail" src="https://attachments.academia-assets.com/106101790/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434667/Airflow_modelling_predicts_seabird_breeding_habitat_across_islands">Airflow modelling predicts seabird breeding habitat across islands</a></div><div class="wp-workCard_item"><span>Ecography</span><span>, 2021</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="80c8f79cf8acdfa0b15a7f81b50e8c84" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101790,"asset_id":107434667,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101790/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107434667"><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="107434667"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434667; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107434666"><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/107434666/Dead_reckoning_animal_movements_in_R_a_reappraisal_using_Gundog_Tracks"><img alt="Research paper thumbnail of Dead-reckoning animal movements in R: a reappraisal using Gundog.Tracks" class="work-thumbnail" src="https://attachments.academia-assets.com/106101755/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434666/Dead_reckoning_animal_movements_in_R_a_reappraisal_using_Gundog_Tracks">Dead-reckoning animal movements in R: a reappraisal using Gundog.Tracks</a></div><div class="wp-workCard_item"><span>Animal Biotelemetry</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background Fine-scale data on animal position are increasingly enabling us to understand the deta...</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">Background Fine-scale data on animal position are increasingly enabling us to understand the details of animal movement ecology and dead-reckoning, a technique integrating motion sensor-derived information on heading and speed, can be used to reconstruct fine-scale movement paths at sub-second resolution, irrespective of the environment. On its own however, the dead-reckoning process is prone to cumulative errors, so that position estimates quickly become uncoupled from true location. Periodic ground-truthing with aligned location data (e.g., from global positioning technology) can correct for this drift between Verified Positions (VPs). We present step-by-step instructions for implementing Verified Position Correction (VPC) dead-reckoning in R using the tilt-compensated compass method, accompanied by the mathematical protocols underlying the code and improvements and extensions of this technique to reduce the trade-off between VPC rate and dead-reckoning accuracy. These protocols a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="581e5ca49ffde6ff54c04f1e7a70b5ef" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101755,"asset_id":107434666,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101755/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107434666"><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="107434666"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434666; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=107434666]").text(description); $(".js-view-count[data-work-id=107434666]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 107434666; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='107434666']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 107434666, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "581e5ca49ffde6ff54c04f1e7a70b5ef" } } $('.js-work-strip[data-work-id=107434666]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107434666,"title":"Dead-reckoning animal movements in R: a reappraisal using Gundog.Tracks","translated_title":"","metadata":{"abstract":"Background Fine-scale data on animal position are increasingly enabling us to understand the details of animal movement ecology and dead-reckoning, a technique integrating motion sensor-derived information on heading and speed, can be used to reconstruct fine-scale movement paths at sub-second resolution, irrespective of the environment. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107434650"><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/107434650/Optimizing_the_use_of_biologgers_for_movement_ecology_research"><img alt="Research paper thumbnail of Optimizing the use of biologgers for movement ecology research" class="work-thumbnail" src="https://attachments.academia-assets.com/106101776/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434650/Optimizing_the_use_of_biologgers_for_movement_ecology_research">Optimizing the use of biologgers for movement ecology research</a></div><div class="wp-workCard_item"><span>Journal of Animal Ecology</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The paradigm‐changing opportunities of biologging sensors for ecological research, especially mov...</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 paradigm‐changing opportunities of biologging sensors for ecological research, especially movement ecology, are vast, but the crucial questions of how best to match the most appropriate sensors and sensor combinations to specific biological questions and how to analyse complex biologging data, are mostly ignored. Here, we fill this gap by reviewing how to optimize the use of biologging techniques to answer questions in movement ecology and synthesize this into an Integrated Biologging Framework (IBF). We highlight that multisensor approaches are a new frontier in biologging, while identifying current limitations and avenues for future development in sensor technology. We focus on the importance of efficient data exploration, and more advanced multidimensional visualization methods, combined with appropriate archiving and sharing approaches, to tackle the big data issues presented by biologging. We also discuss the challenges and opportunities in matching the peculiarities of spe...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3a01bc0eeaa5da06780599c826750a49" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101776,"asset_id":107434650,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101776/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107434650"><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="107434650"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434650; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=107434650]").text(description); $(".js-view-count[data-work-id=107434650]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 107434650; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='107434650']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 107434650, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3a01bc0eeaa5da06780599c826750a49" } } $('.js-work-strip[data-work-id=107434650]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107434650,"title":"Optimizing the use of biologgers for movement ecology research","translated_title":"","metadata":{"abstract":"The paradigm‐changing opportunities of biologging sensors for ecological research, especially movement ecology, are vast, but the crucial questions of how best to match the most appropriate sensors and sensor combinations to specific biological questions and how to analyse complex biologging data, are mostly ignored. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="92413559"><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/92413559/How_to_scale_up_from_animal_movement_decisions_to_spatio_temporal_patterns_an_approach_via_step_selection"><img alt="Research paper thumbnail of How to scale up from animal movement decisions to spatio-temporal patterns: an approach via step selection" class="work-thumbnail" src="https://attachments.academia-assets.com/95428798/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/92413559/How_to_scale_up_from_animal_movement_decisions_to_spatio_temporal_patterns_an_approach_via_step_selection">How to scale up from animal movement decisions to spatio-temporal patterns: an approach via step selection</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Uncovering the mechanisms behind animal space use patterns is of vital importance for predictive ...</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">Uncovering the mechanisms behind animal space use patterns is of vital importance for predictive ecology, thus conservation and management of ecosystems. Movement is a core driver of those patterns so understanding how movement mechanisms give rise to space use patterns has become an increasingly active area of research.This study focuses on a particular strand of research in this area, based around step selection analysis (SSA). SSA is a popular way of inferring drivers of movement decisions, but, perhaps less well-appreciated, it also parametrises a model of animal movement. Of key interest is that this model can be propogated forwards in time to predict the space use patterns over broader spatial and temporal scales than those that pertain to the proximate movement decisions of animals.Here, we provide a guide for understanding and using the various existing techniques for scaling-up step selection models to predict broad scale space use patterns. We give practical guidance on wh...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e163dbe2ce5ae0688a264381c05a4682" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":95428798,"asset_id":92413559,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/95428798/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="92413559"><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="92413559"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 92413559; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=92413559]").text(description); $(".js-view-count[data-work-id=92413559]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 92413559; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='92413559']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 92413559, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e163dbe2ce5ae0688a264381c05a4682" } } $('.js-work-strip[data-work-id=92413559]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":92413559,"title":"How to scale up from animal movement decisions to spatio-temporal patterns: an approach via step selection","translated_title":"","metadata":{"abstract":"Uncovering the mechanisms behind animal space use patterns is of vital importance for predictive ecology, thus conservation and management of ecosystems. Movement is a core driver of those patterns so understanding how movement mechanisms give rise to space use patterns has become an increasingly active area of research.This study focuses on a particular strand of research in this area, based around step selection analysis (SSA). SSA is a popular way of inferring drivers of movement decisions, but, perhaps less well-appreciated, it also parametrises a model of animal movement. Of key interest is that this model can be propogated forwards in time to predict the space use patterns over broader spatial and temporal scales than those that pertain to the proximate movement decisions of animals.Here, we provide a guide for understanding and using the various existing techniques for scaling-up step selection models to predict broad scale space use patterns. 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Of key interest is that this model can be propogated forwards in time to predict the space use patterns over broader spatial and temporal scales than those that pertain to the proximate movement decisions of animals.Here, we provide a guide for understanding and using the various existing techniques for scaling-up step selection models to predict broad scale space use patterns. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="92413557"><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/92413557/Spostamenti_dellistrice_in_relazione_al_sito_di_tana"><img alt="Research paper thumbnail of Spostamenti dell'istrice in relazione al sito di tana" class="work-thumbnail" src="https://attachments.academia-assets.com/95428801/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/92413557/Spostamenti_dellistrice_in_relazione_al_sito_di_tana">Spostamenti dell'istrice in relazione al sito di tana</a></div><div class="wp-workCard_item"><span>Hystrix-italian Journal of Mammalogy</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">La ricerca e stata condotta da luglio 1997 a settembre 1999 in un?area del Parco Regionale della ...</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">La ricerca e stata condotta da luglio 1997 a settembre 1999 in un?area del Parco Regionale della Maremma (Grosseto) per A) individuare le caratteristiche dei siti di tana e degli ingressi maggiormente utilizzati dagli istrici; B) rilevare il rapporto spazio- temporale esistente tra gli individui e le loro tane. Ventisette animali, 14 maschi e 13 femmine, sono stati catturati, muniti di radio-collare e localizzati periodicamente (min. 2 notti/settimana con 1 fix/2h per notte). E stata individuata mensilmente la tana di ciascun animale con radio-collare, mediante homing in . Ogni tana e stata georiferita e sono stati effettuati una serie di rilevamenti morfologici, vegetazionali e orografici del sito, oltre che la registrazione del numero di animali marcati in essa presenti. In totale, sono state individuate 31 tane differenti su 81 homing in condotti. Sono state calcolate e analizzate le distanze di ciascun animale dalla propria tana in otto fasce orarie di circa 3 ore ciascuna. Le a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5b2e3ccb8d8d4a06d9918c5ee618e3fc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":95428801,"asset_id":92413557,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/95428801/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="92413557"><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="92413557"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 92413557; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=92413557]").text(description); $(".js-view-count[data-work-id=92413557]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 92413557; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='92413557']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 92413557, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5b2e3ccb8d8d4a06d9918c5ee618e3fc" } } $('.js-work-strip[data-work-id=92413557]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":92413557,"title":"Spostamenti dell'istrice in relazione al sito di tana","translated_title":"","metadata":{"abstract":"La ricerca e stata condotta da luglio 1997 a settembre 1999 in un?area del Parco Regionale della Maremma (Grosseto) per A) individuare le caratteristiche dei siti di tana e degli ingressi maggiormente utilizzati dagli istrici; B) rilevare il rapporto spazio- temporale esistente tra gli individui e le loro tane. Ventisette animali, 14 maschi e 13 femmine, sono stati catturati, muniti di radio-collare e localizzati periodicamente (min. 2 notti/settimana con 1 fix/2h per notte). E stata individuata mensilmente la tana di ciascun animale con radio-collare, mediante homing in . Ogni tana e stata georiferita e sono stati effettuati una serie di rilevamenti morfologici, vegetazionali e orografici del sito, oltre che la registrazione del numero di animali marcati in essa presenti. In totale, sono state individuate 31 tane differenti su 81 homing in condotti. Sono state calcolate e analizzate le distanze di ciascun animale dalla propria tana in otto fasce orarie di circa 3 ore ciascuna. Le a...","publication_date":{"day":null,"month":null,"year":2003,"errors":{}},"publication_name":"Hystrix-italian Journal of Mammalogy"},"translated_abstract":"La ricerca e stata condotta da luglio 1997 a settembre 1999 in un?area del Parco Regionale della Maremma (Grosseto) per A) individuare le caratteristiche dei siti di tana e degli ingressi maggiormente utilizzati dagli istrici; B) rilevare il rapporto spazio- temporale esistente tra gli individui e le loro tane. Ventisette animali, 14 maschi e 13 femmine, sono stati catturati, muniti di radio-collare e localizzati periodicamente (min. 2 notti/settimana con 1 fix/2h per notte). E stata individuata mensilmente la tana di ciascun animale con radio-collare, mediante homing in . Ogni tana e stata georiferita e sono stati effettuati una serie di rilevamenti morfologici, vegetazionali e orografici del sito, oltre che la registrazione del numero di animali marcati in essa presenti. In totale, sono state individuate 31 tane differenti su 81 homing in condotti. Sono state calcolate e analizzate le distanze di ciascun animale dalla propria tana in otto fasce orarie di circa 3 ore ciascuna. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="92413556"><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/92413556/Fine_scale_changes_in_speed_and_altitude_suggest_protean_movements_in_homing_pigeon_flights"><img alt="Research paper thumbnail of Fine-scale changes in speed and altitude suggest protean movements in homing pigeon flights" class="work-thumbnail" src="https://attachments.academia-assets.com/95428744/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/92413556/Fine_scale_changes_in_speed_and_altitude_suggest_protean_movements_in_homing_pigeon_flights">Fine-scale changes in speed and altitude suggest protean movements in homing pigeon flights</a></div><div class="wp-workCard_item"><span>Royal Society Open Science</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The power curve provides a basis for predicting adjustments that animals make in flight speed, 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">The power curve provides a basis for predicting adjustments that animals make in flight speed, for example in relation to wind, distance, habitat foraging quality and objective. However, relatively few studies have examined how animals respond to the landscape below them, which could affect speed and power allocation through modifications in climb rate and perceived predation risk. We equipped homing pigeons ( Columba livia ) with high-frequency loggers to examine how flight speed, and hence effort, varies in relation to topography and land cover. Pigeons showed mixed evidence for an energy-saving strategy, as they minimized climb rates by starting their ascent ahead of hills, but selected rapid speeds in their ascents. Birds did not modify their speed substantially in relation to land cover, but used higher speeds during descending flight, highlighting the importance of considering the rate of change in altitude before estimating power use from speed. Finally, we document an unexpe...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="078f42cffb5c9294402e12a60b6ed4d5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":95428744,"asset_id":92413556,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/95428744/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="92413556"><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="92413556"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 92413556; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=92413556]").text(description); $(".js-view-count[data-work-id=92413556]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 92413556; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='92413556']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 92413556, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "078f42cffb5c9294402e12a60b6ed4d5" } } $('.js-work-strip[data-work-id=92413556]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":92413556,"title":"Fine-scale changes in speed and altitude suggest protean movements in homing pigeon flights","translated_title":"","metadata":{"abstract":"The power curve provides a basis for predicting adjustments that animals make in flight speed, for example in relation to wind, distance, habitat foraging quality and objective. However, relatively few studies have examined how animals respond to the landscape below them, which could affect speed and power allocation through modifications in climb rate and perceived predation risk. We equipped homing pigeons ( Columba livia ) with high-frequency loggers to examine how flight speed, and hence effort, varies in relation to topography and land cover. Pigeons showed mixed evidence for an energy-saving strategy, as they minimized climb rates by starting their ascent ahead of hills, but selected rapid speeds in their ascents. Birds did not modify their speed substantially in relation to land cover, but used higher speeds during descending flight, highlighting the importance of considering the rate of change in altitude before estimating power use from speed. Finally, we document an unexpe...","publisher":"The Royal Society","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Royal Society Open Science"},"translated_abstract":"The power curve provides a basis for predicting adjustments that animals make in flight speed, for example in relation to wind, distance, habitat foraging quality and objective. However, relatively few studies have examined how animals respond to the landscape below them, which could affect speed and power allocation through modifications in climb rate and perceived predation risk. We equipped homing pigeons ( Columba livia ) with high-frequency loggers to examine how flight speed, and hence effort, varies in relation to topography and land cover. Pigeons showed mixed evidence for an energy-saving strategy, as they minimized climb rates by starting their ascent ahead of hills, but selected rapid speeds in their ascents. Birds did not modify their speed substantially in relation to land cover, but used higher speeds during descending flight, highlighting the importance of considering the rate of change in altitude before estimating power use from speed. 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src="https://attachments.academia-assets.com/95428792/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/92413555/Path_tortuosity_changes_the_transport_cost_paradigm_in_terrestrial_animals">Path tortuosity changes the transport cost paradigm in terrestrial animals</a></div><div class="wp-workCard_item"><span>Ecography</span><span>, 2021</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="dd2f853a574a61447455cf74f0ef5806" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":95428792,"asset_id":92413555,"asset_type":"Work","button_location":"profile"}" 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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="11763" id="books"><div class="js-work-strip profile--work_container" data-work-id="1468596"><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/1468596/Quantifying_individual_differences_in_dispersal_using_net_squared_displacement_Oxford_University_Press_2012_"><img alt="Research paper thumbnail of Quantifying individual differences in dispersal using net squared displacement Oxford University Press (2012)." class="work-thumbnail" src="https://attachments.academia-assets.com/30458326/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/1468596/Quantifying_individual_differences_in_dispersal_using_net_squared_displacement_Oxford_University_Press_2012_">Quantifying individual differences in dispersal using net squared displacement Oxford University Press (2012).</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Quantifying individual differences and the phenotypic correlates of dispersal are of considerable...</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">Quantifying individual differences and the phenotypic correlates of dispersal are of considerable interest for obtaining a better understanding of the mechanisms of dispersal. The aim of the chapter is to present a new approach for modelling animal dispersal, based on net squared displacement statistics combined with a nonlinear hierarchical modelling framework. It allows efficient construction of accurate population redistribution kernels, quantification of individual differences in dispersal, and testing hypothesized correlates of the latter. The chapter is organised as follows. First, we explore the theoretical basis for using net squared displacement as a statistical modelling approach. This is followed by a simulation study to investigate the data requirements and power of the proposed method, ended by general conclusions.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3fe6d21edfe8fd8dcac7761fe70f3bd0" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":30458326,"asset_id":1468596,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/30458326/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="1468596"><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="1468596"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1468596; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1468596]").text(description); $(".js-view-count[data-work-id=1468596]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1468596; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1468596']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1468596, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3fe6d21edfe8fd8dcac7761fe70f3bd0" } } $('.js-work-strip[data-work-id=1468596]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1468596,"title":"Quantifying individual differences in dispersal using net squared displacement Oxford University Press (2012).","translated_title":"","metadata":{"abstract":"Quantifying individual differences and the phenotypic correlates of dispersal are of considerable interest for obtaining a better understanding of the mechanisms of dispersal. The aim of the chapter is to present a new approach for modelling animal dispersal, based on net squared displacement statistics combined with a nonlinear hierarchical modelling framework. It allows efficient construction of accurate population redistribution kernels, quantification of individual differences in dispersal, and testing hypothesized correlates of the latter. The chapter is organised as follows. First, we explore the theoretical basis for using net squared displacement as a statistical modelling approach. This is followed by a simulation study to investigate the data requirements and power of the proposed method, ended by general conclusions.","more_info":"\"Book chapter (ch. 17) coauthored with John Fryxell. In: Clobert J, Baguette M, Benton T, Bullock J (eds.) Dispersal Ecology and Evolution (http://ukcatalogue.oup.com/product/9780199608904.do)\"","publisher":"Oxford University Press","publication_date":{"day":null,"month":9,"year":2012,"errors":{}}},"translated_abstract":"Quantifying individual differences and the phenotypic correlates of dispersal are of considerable interest for obtaining a better understanding of the mechanisms of dispersal. The aim of the chapter is to present a new approach for modelling animal dispersal, based on net squared displacement statistics combined with a nonlinear hierarchical modelling framework. It allows efficient construction of accurate population redistribution kernels, quantification of individual differences in dispersal, and testing hypothesized correlates of the latter. The chapter is organised as follows. First, we explore the theoretical basis for using net squared displacement as a statistical modelling approach. This is followed by a simulation study to investigate the data requirements and power of the proposed method, ended by general conclusions.","internal_url":"https://www.academia.edu/1468596/Quantifying_individual_differences_in_dispersal_using_net_squared_displacement_Oxford_University_Press_2012_","translated_internal_url":"","created_at":"2012-03-08T20:16:50.986-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"book","co_author_tags":[],"downloadable_attachments":[{"id":30458326,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/30458326/thumbnails/1.jpg","file_name":"Chapter_17_-_Borger_and_Fryxell.pdf","download_url":"https://www.academia.edu/attachments/30458326/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Quantifying_individual_differences_in_di.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/30458326/Chapter_17_-_Borger_and_Fryxell-libre.pdf?1393876806=\u0026response-content-disposition=attachment%3B+filename%3DQuantifying_individual_differences_in_di.pdf\u0026Expires=1731454989\u0026Signature=KSnBNBAy7H6dRj5DV~ZXBXAdIqIjtKLxKfAzy4ZvL6~65EPgVuGkt5dXCyeaXblEpCpr8jfkANemCFH61bixc0cc3g5AyBxa3HwnvTzBFC-o~qqY5bGwtjp539b~FNwoijN6pHzBA2S1X5owUPE6ZBclluvs1OjMrAO-0eTvb5ixnWUxQyaYv3thD61zVnAsTg0rbjtcU4Hhc3VTPkf6LrAF-NJpLryRqNC~CoTVyUBMfKBtnnma2LA080OgTjBFBSEl9UrQHJusQyJJBI1mPTZJUXntVTaJxIkNO9NjjdtaYe7rL08nsHzWTJLbX3g-cVZpvximAus-uJ3tuiOx8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Quantifying_individual_differences_in_dispersal_using_net_squared_displacement_Oxford_University_Press_2012_","translated_slug":"","page_count":9,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[{"id":30458326,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/30458326/thumbnails/1.jpg","file_name":"Chapter_17_-_Borger_and_Fryxell.pdf","download_url":"https://www.academia.edu/attachments/30458326/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Quantifying_individual_differences_in_di.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/30458326/Chapter_17_-_Borger_and_Fryxell-libre.pdf?1393876806=\u0026response-content-disposition=attachment%3B+filename%3DQuantifying_individual_differences_in_di.pdf\u0026Expires=1731454989\u0026Signature=KSnBNBAy7H6dRj5DV~ZXBXAdIqIjtKLxKfAzy4ZvL6~65EPgVuGkt5dXCyeaXblEpCpr8jfkANemCFH61bixc0cc3g5AyBxa3HwnvTzBFC-o~qqY5bGwtjp539b~FNwoijN6pHzBA2S1X5owUPE6ZBclluvs1OjMrAO-0eTvb5ixnWUxQyaYv3thD61zVnAsTg0rbjtcU4Hhc3VTPkf6LrAF-NJpLryRqNC~CoTVyUBMfKBtnnma2LA080OgTjBFBSEl9UrQHJusQyJJBI1mPTZJUXntVTaJxIkNO9NjjdtaYe7rL08nsHzWTJLbX3g-cVZpvximAus-uJ3tuiOx8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics"},{"id":1063,"name":"Environmental Education","url":"https://www.academia.edu/Documents/in/Environmental_Education"},{"id":1279,"name":"Science Communication","url":"https://www.academia.edu/Documents/in/Science_Communication"},{"id":2467,"name":"Conservation Biology","url":"https://www.academia.edu/Documents/in/Conservation_Biology"},{"id":2749,"name":"Animal Behavior","url":"https://www.academia.edu/Documents/in/Animal_Behavior"},{"id":2982,"name":"Movement Ecology","url":"https://www.academia.edu/Documents/in/Movement_Ecology"},{"id":4266,"name":"Wildlife Biology","url":"https://www.academia.edu/Documents/in/Wildlife_Biology"},{"id":6177,"name":"Modeling","url":"https://www.academia.edu/Documents/in/Modeling"},{"id":7651,"name":"Wildlife Ecology And Management","url":"https://www.academia.edu/Documents/in/Wildlife_Ecology_And_Management"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":17825,"name":"Biodiversity","url":"https://www.academia.edu/Documents/in/Biodiversity"},{"id":19406,"name":"Human-wildlife conflicts","url":"https://www.academia.edu/Documents/in/Human-wildlife_conflicts"},{"id":22413,"name":"Wildlife Conservation","url":"https://www.academia.edu/Documents/in/Wildlife_Conservation"},{"id":22838,"name":"Animal Behaviour","url":"https://www.academia.edu/Documents/in/Animal_Behaviour"},{"id":25540,"name":"Dispersal Ecology","url":"https://www.academia.edu/Documents/in/Dispersal_Ecology"},{"id":25730,"name":"Behavioral Ecology","url":"https://www.academia.edu/Documents/in/Behavioral_Ecology"}],"urls":[{"id":221081,"url":"http://bit.ly/RCo1HB"}]}, 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="206575"><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/206575/Migration_quantified_Constructing_models_and_linking_them_with_data"><img alt="Research paper thumbnail of Migration quantified: Constructing models and linking them with data" class="work-thumbnail" src="https://attachments.academia-assets.com/7098769/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/206575/Migration_quantified_Constructing_models_and_linking_them_with_data">Migration quantified: Constructing models and linking them with data</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">"This chapter discusses how models, combined with modern data sources and statistical methods, ca...</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 chapter discusses how models, combined with modern data sources and statistical methods, can be used to test different hypotheses about the causes of migration. Mathematical formalisms for migration are presented. The ecological mechanisms that could spontaneously have given rise to migration-like patterns of space use from the interaction within and between groups of animals and their environment are discussed, showing that migration is best seen as to lie on a continuum from sedentary to nomadic movement patterns and not as a clearly distinct movement behaviour. Given the multitude of potential processes leading to migration, and the constraints imposed by data collection methods, it may be difficult to observe and identify the original cause. With this caveat in mind, the use of inferential methods to detect, quantify and identify the underlying mechanisms of migration is discussed and the links between models, data and inference are illustrated using three case studies. <br />##################################################### <br /> <br />Updates: <br />The book already sold out! A corrected reprint is available since Dec 2011."</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="07f0b0d2340153f2af95c6d6d3df28ed" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":7098769,"asset_id":206575,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/7098769/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="206575"><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="206575"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 206575; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=206575]").text(description); $(".js-view-count[data-work-id=206575]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 206575; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='206575']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 206575, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "07f0b0d2340153f2af95c6d6d3df28ed" } } $('.js-work-strip[data-work-id=206575]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":206575,"title":"Migration quantified: Constructing models and linking them with data","translated_title":"","metadata":{"abstract":"\"This chapter discusses how models, combined with modern data sources and statistical methods, can be used to test different hypotheses about the causes of migration. Mathematical formalisms for migration are presented. The ecological mechanisms that could spontaneously have given rise to migration-like patterns of space use from the interaction within and between groups of animals and their environment are discussed, showing that migration is best seen as to lie on a continuum from sedentary to nomadic movement patterns and not as a clearly distinct movement behaviour. Given the multitude of potential processes leading to migration, and the constraints imposed by data collection methods, it may be difficult to observe and identify the original cause. With this caveat in mind, the use of inferential methods to detect, quantify and identify the underlying mechanisms of migration is discussed and the links between models, data and inference are illustrated using three case studies.\r\n#####################################################\r\n\r\nUpdates:\r\nThe book already sold out! A corrected reprint is available since Dec 2011.\"","more_info":"Book chapter coauthored with Jason Matthiopoulos, Ricardo Holdo, Juan Morales, Iain Couzin and Ed McCauley. in E. J. Milner-Gulland, J. M. Fryxell and A. R. E. Sinclair, eds. Animal Migration: A Synthesis.","publisher":"Oxford University Press","publication_date":{"day":null,"month":null,"year":2011,"errors":{}}},"translated_abstract":"\"This chapter discusses how models, combined with modern data sources and statistical methods, can be used to test different hypotheses about the causes of migration. Mathematical formalisms for migration are presented. The ecological mechanisms that could spontaneously have given rise to migration-like patterns of space use from the interaction within and between groups of animals and their environment are discussed, showing that migration is best seen as to lie on a continuum from sedentary to nomadic movement patterns and not as a clearly distinct movement behaviour. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="2670" id="papers"><div class="js-work-strip profile--work_container" data-work-id="107434675"><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/107434675/Wilson_et_al_2019_DBA_data_xlsx"><img alt="Research paper thumbnail of Wilson et al 2019_DBA data.xlsx" 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/107434675/Wilson_et_al_2019_DBA_data_xlsx">Wilson et al 2019_DBA data.xlsx</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Data associated with the paper &quot;Estimates for energy expenditure in free-living animals usin...</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">Data associated with the paper &quot;Estimates for energy expenditure in free-living animals using acceleration proxies; 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A comprehensive assessment of stream fragmentation in Great Britain" class="work-thumbnail" src="https://attachments.academia-assets.com/106101793/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434672/A_comprehensive_assessment_of_stream_fragmentation_in_Great_Britain">A comprehensive assessment of stream fragmentation in Great Britain</a></div><div class="wp-workCard_item"><span>Science of The Total Environment</span><span>, Jul 1, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="67bd0010e0fa1dbf0e8416bc0b5e09bd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" 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require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "67bd0010e0fa1dbf0e8416bc0b5e09bd" } } $('.js-work-strip[data-work-id=107434672]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107434672,"title":"A comprehensive assessment of stream fragmentation in Great Britain","translated_title":"","metadata":{"publisher":"Elsevier BV","grobid_abstract":"Artificial barriers are one of the main threats to river ecosystems, resulting in habitat fragmentation and loss of connectivity. Yet, the abundance and distribution of most artificial barriers, excluding high-head dams, is poorly documented. We provide a comprehensive assessment of the distribution and typology of artificial barriers in Great Britain, and estimate for the first time the extent of river fragmentation. To this end, barrier data were compiled from existing databases and were ground-truthed by field surveys in England, Scotland and Wales to derive a correction factor for barrier density across Great Britain. Field surveys indicate that existing barrier databases underestimate barrier density by 68%, particularly in the case of low-head structures (\u003c1 m) which are often missing from current records. Field-corrected barrier density estimates ranged from 0.48 barriers/km in Scotland to 0.63 barriers/km in Wales, and 0.75 barriers/km in England. Corresponding estimates of stream fragmentation by weirs and dams only, measured as mean barrier-free length, were 12.30 km in Scotland, 6.68 km in Wales and 5.29 km in England, suggesting the extent of river modification differs between regions. Our study indicates that 97% of the river network in Great Britain is fragmented and less than 1% of the catchments are free of artificial barriers.","publication_date":{"day":1,"month":7,"year":2019,"errors":{}},"publication_name":"Science of The Total Environment","grobid_abstract_attachment_id":106101793},"translated_abstract":null,"internal_url":"https://www.academia.edu/107434672/A_comprehensive_assessment_of_stream_fragmentation_in_Great_Britain","translated_internal_url":"","created_at":"2023-10-01T02:17:04.175-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":106101793,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101793/thumbnails/1.jpg","file_name":"0050175-10052019150902.pdf","download_url":"https://www.academia.edu/attachments/106101793/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_comprehensive_assessment_of_stream_fra.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101793/0050175-10052019150902-libre.pdf?1696153953=\u0026response-content-disposition=attachment%3B+filename%3DA_comprehensive_assessment_of_stream_fra.pdf\u0026Expires=1732361461\u0026Signature=ajtvBfw04Dyw2vBGH1jVXyvCQ6Pnal4na8mXGWZnAOpUgunbVBwHmxxVAs2LVdAE-uywBT8Y~VOBUh8ZSQNu9fFHayFycBs~HJX4veQYc~5CaNf8SZvYvoPvXcO14W16S-hYsKrGkeGYgPomF87i~Sff6H3J-NEBFBuauelrh4LUwBji~nNEZwfaD846n7OpZQmTfDHTlW3QP7e~RGdRBXWX39IkAPXuNIxAVdBiIxICNaWx-vobSIvpt4tsTtsHlp7R~V8NLqmYueuJfL~-15Qie17HjP6doQT2y9kGuZJgnY82oVzCaUby6tMmmoLiR2SanIOK~IAQfqkCi2O82g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"A_comprehensive_assessment_of_stream_fragmentation_in_Great_Britain","translated_slug":"","page_count":38,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[{"id":106101793,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101793/thumbnails/1.jpg","file_name":"0050175-10052019150902.pdf","download_url":"https://www.academia.edu/attachments/106101793/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"A_comprehensive_assessment_of_stream_fra.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101793/0050175-10052019150902-libre.pdf?1696153953=\u0026response-content-disposition=attachment%3B+filename%3DA_comprehensive_assessment_of_stream_fra.pdf\u0026Expires=1732361461\u0026Signature=ajtvBfw04Dyw2vBGH1jVXyvCQ6Pnal4na8mXGWZnAOpUgunbVBwHmxxVAs2LVdAE-uywBT8Y~VOBUh8ZSQNu9fFHayFycBs~HJX4veQYc~5CaNf8SZvYvoPvXcO14W16S-hYsKrGkeGYgPomF87i~Sff6H3J-NEBFBuauelrh4LUwBji~nNEZwfaD846n7OpZQmTfDHTlW3QP7e~RGdRBXWX39IkAPXuNIxAVdBiIxICNaWx-vobSIvpt4tsTtsHlp7R~V8NLqmYueuJfL~-15Qie17HjP6doQT2y9kGuZJgnY82oVzCaUby6tMmmoLiR2SanIOK~IAQfqkCi2O82g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":12653,"name":"Rivers","url":"https://www.academia.edu/Documents/in/Rivers"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":81793,"name":"Dams","url":"https://www.academia.edu/Documents/in/Dams"},{"id":151848,"name":"Fragmentation","url":"https://www.academia.edu/Documents/in/Fragmentation"},{"id":226366,"name":"Connectivity","url":"https://www.academia.edu/Documents/in/Connectivity"},{"id":893294,"name":"Weirs","url":"https://www.academia.edu/Documents/in/Weirs"},{"id":3196873,"name":"obstacle inventory","url":"https://www.academia.edu/Documents/in/obstacle_inventory"},{"id":3196874,"name":"instream infrastructure","url":"https://www.academia.edu/Documents/in/instream_infrastructure"}],"urls":[{"id":34196014,"url":"https://dro.dur.ac.uk/27898/1/27898.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107434671"><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/107434671/Uncovering_multiscale_effects_of_aridity_and_biotic_interactions_on_the_functional_structure_of_Mediterranean_shrublands"><img alt="Research paper thumbnail of Uncovering multiscale effects of aridity and biotic interactions on the functional structure of Mediterranean shrublands" class="work-thumbnail" src="https://attachments.academia-assets.com/106101796/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434671/Uncovering_multiscale_effects_of_aridity_and_biotic_interactions_on_the_functional_structure_of_Mediterranean_shrublands">Uncovering multiscale effects of aridity and biotic interactions on the functional structure of Mediterranean shrublands</a></div><div class="wp-workCard_item"><span>Journal of Ecology</span><span>, Mar 26, 2013</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="c187285ec703102f01456b5f90e4fa5e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101796,"asset_id":107434671,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101796/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107434671"><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="107434671"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434671; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "c187285ec703102f01456b5f90e4fa5e" } } $('.js-work-strip[data-work-id=107434671]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107434671,"title":"Uncovering multiscale effects of aridity and biotic interactions on the functional structure of Mediterranean shrublands","translated_title":"","metadata":{"publisher":"Wiley-Blackwell","grobid_abstract":"1. Habitat filtering (HF, trait convergence) and niche differentiation (ND, trait divergence) are known to impact upon plant community structure. Both processes integrate individual responses to the abiotic environment and biotic interactions. Thus, it is difficult to clearly identify the underlying abiotic and biotic factors that ultimately impact community structure by looking at community-level patterns of trait divergence or convergence alone. 2. We used a functional trait-based and multiscale approach to assess how biotic interactions and aridity determine the functional structure of semi-arid shrublands sampled along a large aridity gradient in Spain. At the regional scale, we investigated functional differences among species (axes of specialization) to identify important traits for community assembly. At the community scale, we evaluated the relative impact of HF and ND on community structure using a null model approach. Finally, at the plant neighbourhood scale, we evaluated the impact of biotic interactions on community structure by investigating the spatial patterns of trait aggregation. 3. The shrub species surveyed can be separated along four axes of specialization based on their above-ground architecture and leaf morphology. Our community scale analysis suggested that the functional structure of semi-arid communities was clearly non-random, HF and ND acting independently on different traits to determine community structure along the aridity gradient. At the plant neighbourhood scale, the spatial distribution of species was also clearly not random, suggesting that competition and facilitation impacted on the observed changes in the functional diversity of shrubland communities along the aridity gradient. 4. Synthesis: Our results demonstrated that HF and ND acted simultaneously on independent traits to jointly determine community structure. Most importantly, our multiscale approach suggested that competition and facilitation interplayed with aridity to determine this structure. Competition appeared to be constant along the aridity gradient and explained the high functional diversity observed in semi-arid shrublands. Facilitation affected subordinate and rare species and, thus, may act to enhance the biodiversity of these ecosystems. Finally, the framework employed in our study allows moving forward from the examination of patterns to the development of mechanistic traitbased approaches to study plant community assembly.","publication_date":{"day":26,"month":3,"year":2013,"errors":{}},"publication_name":"Journal of Ecology","grobid_abstract_attachment_id":106101796},"translated_abstract":null,"internal_url":"https://www.academia.edu/107434671/Uncovering_multiscale_effects_of_aridity_and_biotic_interactions_on_the_functional_structure_of_Mediterranean_shrublands","translated_internal_url":"","created_at":"2023-10-01T02:17:03.929-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":106101796,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101796/thumbnails/1.jpg","file_name":"JEcol2013.pdf","download_url":"https://www.academia.edu/attachments/106101796/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Uncovering_multiscale_effects_of_aridity.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101796/JEcol2013-libre.pdf?1696153944=\u0026response-content-disposition=attachment%3B+filename%3DUncovering_multiscale_effects_of_aridity.pdf\u0026Expires=1732361461\u0026Signature=crmgcimL4fd702KKWqZ1hy0fwfs9Ma0Rh0i6UqHM2nzIwl9HWNaIVynGBaw4Rtb~sJyijNFAI14hseC~5Sp0Tdpwf~Rbt20Fv0q~YsrbDzyeI7DJDj-kAlZkTvXSy1feh4zixqEf~LEla9N3tqRNxyjoWxsX-hPHwXzDPuuodTBGeEG-H6rB4eibj7aSGc0JKCHz98ipZ3~NL~XUGt3hJXtayZ2zHKoT0idSde5WcF8sf-BeAZGxH87aAIgkJAU0lSWdyVrxZoEI~duUwg1lwepJx04no9wxUrk-iuaX7jrDSZXefT2gAhbsCloTpiq2XRiwfY7-y8QSVkvHkbmdMw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Uncovering_multiscale_effects_of_aridity_and_biotic_interactions_on_the_functional_structure_of_Mediterranean_shrublands","translated_slug":"","page_count":13,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger 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competition","url":"https://www.academia.edu/Documents/in/Plant_competition"},{"id":133085,"name":"Trait","url":"https://www.academia.edu/Documents/in/Trait"},{"id":154235,"name":"Community Structure","url":"https://www.academia.edu/Documents/in/Community_Structure"},{"id":163307,"name":"Facilitation","url":"https://www.academia.edu/Documents/in/Facilitation"},{"id":176282,"name":"Plant Functional Traits","url":"https://www.academia.edu/Documents/in/Plant_Functional_Traits"},{"id":238830,"name":"Shrubland","url":"https://www.academia.edu/Documents/in/Shrubland"},{"id":304586,"name":"Aridity","url":"https://www.academia.edu/Documents/in/Aridity"},{"id":350193,"name":"Mediterranean Shrubs","url":"https://www.academia.edu/Documents/in/Mediterranean_Shrubs"},{"id":496815,"name":"Arid","url":"https://www.academia.edu/Documents/in/Arid"},{"id":1485760,"name":"Niche 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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/107434670/Estimates_for_energy_expenditure_in_free_living_animals_using_acceleration_proxies_A_reappraisal">Estimates for energy expenditure in free‐living animals using acceleration proxies: A reappraisal</a></div><div class="wp-workCard_item"><span>Journal of Animal Ecology</span><span>, Jun 27, 2019</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="6abed8fa89fe3e6b4324c71f83b7410c" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101757,"asset_id":107434670,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101757/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa 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})(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "6abed8fa89fe3e6b4324c71f83b7410c" } } $('.js-work-strip[data-work-id=107434670]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107434670,"title":"Estimates for energy expenditure in free‐living animals using acceleration proxies: A reappraisal","translated_title":"","metadata":{"publisher":"Wiley-Blackwell","grobid_abstract":"1. It is fundamentally important for many animal ecologists to quantify the costs of animal activities, although it is not straightforward to do so. The recording of triaxial acceleration by animal-attached devices has been proposed as a way forward for this, with the specific suggestion that dynamic body acceleration (DBA) be used as a proxy for movement-based power. 2. Dynamic body acceleration has now been validated frequently, both in the laboratory and in the field, although the literature still shows that some aspects of DBA theory and practice are misunderstood. Here, we examine the theory behind DBA and employ modelling approaches to assess factors that affect the link between DBA and energy expenditure, from the deployment of the tag, through to the calibration of DBA with energy use in laboratory and field settings. 3. Using data from a range of species and movement modes, we illustrate that vectorial and additive DBA metrics are proportional to each other. Either can be used as a proxy for energy and summed to estimate total energy expended over a given period, or divided by time to give a proxy for movement-related metabolic power. Nonetheless, we highlight how the ability of DBA to predict metabolic rate declines as the contribution of non-movement-related factors, such as heat production, increases.","publication_date":{"day":27,"month":6,"year":2019,"errors":{}},"publication_name":"Journal of Animal Ecology","grobid_abstract_attachment_id":106101757},"translated_abstract":null,"internal_url":"https://www.academia.edu/107434670/Estimates_for_energy_expenditure_in_free_living_animals_using_acceleration_proxies_A_reappraisal","translated_internal_url":"","created_at":"2023-10-01T02:17:03.609-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":106101757,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101757/thumbnails/1.jpg","file_name":"1365-2656.pdf","download_url":"https://www.academia.edu/attachments/106101757/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Estimates_for_energy_expenditure_in_free.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101757/1365-2656-libre.pdf?1696154093=\u0026response-content-disposition=attachment%3B+filename%3DEstimates_for_energy_expenditure_in_free.pdf\u0026Expires=1732361461\u0026Signature=SgUHsnj4HN2WMNd-nlLE-n6N~zMGNFawmU6BitpoOzkCjqa~hc~H8zSjuEETggUOFPmK4uujeH~OsZL2dZbSluv4M6BQ~uGY2VJ8kdleyrZ8qNb0f7DnMTuh6Qazus06x77xTirD1W-DoPqdG2gBQeyI1cUfWH0U7Q45bQ19lXQK7UatKfD0YJKVdaR2stBGg6npzuv7qadamODw8uuGIKCD9vk0BG7PVNHJDXloOhCdVj64N2dNArw8~j5mWaPf~AiRjrWYbqmoJ0rRfSu~NO4uJ97BTXcq~mfjR69dJtCkev0fAODhQ-wJkQFUkaWnUARLVTvPQ-WdRyDrWk-Olg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Estimates_for_energy_expenditure_in_free_living_animals_using_acceleration_proxies_A_reappraisal","translated_slug":"","page_count":12,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[{"id":106101757,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101757/thumbnails/1.jpg","file_name":"1365-2656.pdf","download_url":"https://www.academia.edu/attachments/106101757/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Estimates_for_energy_expenditure_in_free.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101757/1365-2656-libre.pdf?1696154093=\u0026response-content-disposition=attachment%3B+filename%3DEstimates_for_energy_expenditure_in_free.pdf\u0026Expires=1732361461\u0026Signature=SgUHsnj4HN2WMNd-nlLE-n6N~zMGNFawmU6BitpoOzkCjqa~hc~H8zSjuEETggUOFPmK4uujeH~OsZL2dZbSluv4M6BQ~uGY2VJ8kdleyrZ8qNb0f7DnMTuh6Qazus06x77xTirD1W-DoPqdG2gBQeyI1cUfWH0U7Q45bQ19lXQK7UatKfD0YJKVdaR2stBGg6npzuv7qadamODw8uuGIKCD9vk0BG7PVNHJDXloOhCdVj64N2dNArw8~j5mWaPf~AiRjrWYbqmoJ0rRfSu~NO4uJ97BTXcq~mfjR69dJtCkev0fAODhQ-wJkQFUkaWnUARLVTvPQ-WdRyDrWk-Olg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":14483,"name":"Animal Ecology","url":"https://www.academia.edu/Documents/in/Animal_Ecology"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":36213,"name":"Energy Metabolism","url":"https://www.academia.edu/Documents/in/Energy_Metabolism"},{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"},{"id":184304,"name":"Energy Expenditure","url":"https://www.academia.edu/Documents/in/Energy_Expenditure"},{"id":201957,"name":"Acceleration","url":"https://www.academia.edu/Documents/in/Acceleration"},{"id":1139123,"name":"Field Metabolic Rate","url":"https://www.academia.edu/Documents/in/Field_Metabolic_Rate"},{"id":1268642,"name":"Software Deployment","url":"https://www.academia.edu/Documents/in/Software_Deployment"}],"urls":[{"id":34196012,"url":"https://besjournals.onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1365-2656.13040"}]}, 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="107434669"><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/107434669/More_than_one_million_barriers_fragment_Europe_s_rivers"><img alt="Research paper thumbnail of More than one million barriers fragment Europe’s rivers" class="work-thumbnail" src="https://attachments.academia-assets.com/106101791/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434669/More_than_one_million_barriers_fragment_Europe_s_rivers">More than one million barriers fragment Europe’s rivers</a></div><div class="wp-workCard_item"><span>Nature</span><span>, Dec 16, 2020</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="bcd72b4eba3f3f3b98702afd03b02df6" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101791,"asset_id":107434669,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101791/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107434669"><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="107434669"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434669; 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In Europe, attempts to quantify river connectivity have been hampered by the absence of a harmonized barrier database. Here we show that there are at least 1.2 million instream barriers in 36 European countries (with a mean density of 0.74 barriers per kilometre), 68 per cent of which are structures less than two metres in height that are often overlooked. Standardized walkover surveys along 2,715 kilometres of stream length for 147 rivers indicate that existing records underestimate barrier numbers by about 61 per cent. The highest barrier densities occur in the heavily modified rivers of central Europe and the lowest barrier densities occur in the most remote, sparsely populated alpine areas. Across Europe, the main predictors of barrier density are agricultural pressure, density of river-road crossings, extent of surface water and elevation. Relatively unfragmented rivers are still found in the Balkans, the Baltic states and parts of Scandinavia and southern Europe, but these require urgent protection from proposed dam developments. Our findings could inform the implementation of the EU Biodiversity Strategy, which aims to reconnect 25,000 kilometres of Europe's rivers by 2030, but achieving this will require a paradigm shift in river restoration that recognizes the widespread impacts caused by small barriers. Rivers support some of the most biodiverse ecosystems in the world, but also some of the most threatened 1. The defining characteristic of non-ephemeral, natural rivers is that they flow 4 , and the most pervasive telltale of human impacts on rivers is the break in connectivity caused by artificial barriers to free flow 5. Without dams, weirs, fords and other instream structures it is difficult to imagine abstracting water, generating hydropower, controlling floods, ferrying goods, or even simply crossing waterways. Rivers provide essential services to society, but our use of rivers has nearly always involved fragmenting them 6. However, assessing river fragmentation has proved challenging 7 owing to the dendritic nature of rivers, the seasonality of the hydrological regime, and the spatio-temporal nature of barrier impacts 8,9. Broken rivers A critical challenge for quantifying river fragmentation is the lack of information on the abundance and location of all but the largest of dams, especially over spatial scales relevant for river basin management. Global database initiatives and developments in remote sensing are making it possible to map the location of large dams","publication_date":{"day":16,"month":12,"year":2020,"errors":{}},"publication_name":"Nature","grobid_abstract_attachment_id":106101791},"translated_abstract":null,"internal_url":"https://www.academia.edu/107434669/More_than_one_million_barriers_fragment_Europe_s_rivers","translated_internal_url":"","created_at":"2023-10-01T02:17:03.318-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":106101791,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101791/thumbnails/1.jpg","file_name":"s41586-020-3005-2.pdf","download_url":"https://www.academia.edu/attachments/106101791/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"More_than_one_million_barriers_fragment.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101791/s41586-020-3005-2-libre.pdf?1696153951=\u0026response-content-disposition=attachment%3B+filename%3DMore_than_one_million_barriers_fragment.pdf\u0026Expires=1732361461\u0026Signature=OBi3yq4w6uAAkxEqgBQxGXA6y42WyCI7yBvtLC5bZRK1SmnImZ3WVuMrnpQdRjMB31BoGV~jBoRHwa8wgxQnbuaSktArGlJjEbsko065mYr23Lo32Mz1Dgcm5KRkg4UbUM2G38muiC8ycU3r4zEWJZ-56ITZgGFQ7jr03PxmKuc9SQnuc8~-AS90AobsmBK4xA5HSn31cc0EnBwp02XzuTP9irb0MLeqXwkJF-EAmm8Qwmq9KpZ5UC1DvI8T1WtHOGVOrRz7GgLePn8v0-DaIss-QBDRilaibJGDJp2542ufPBxWyr-zjAlL6fL6gVbAjBJnRf6u5l-bkIEH-YKn8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"More_than_one_million_barriers_fragment_Europe_s_rivers","translated_slug":"","page_count":19,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[{"id":106101791,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101791/thumbnails/1.jpg","file_name":"s41586-020-3005-2.pdf","download_url":"https://www.academia.edu/attachments/106101791/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"More_than_one_million_barriers_fragment.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101791/s41586-020-3005-2-libre.pdf?1696153951=\u0026response-content-disposition=attachment%3B+filename%3DMore_than_one_million_barriers_fragment.pdf\u0026Expires=1732361461\u0026Signature=OBi3yq4w6uAAkxEqgBQxGXA6y42WyCI7yBvtLC5bZRK1SmnImZ3WVuMrnpQdRjMB31BoGV~jBoRHwa8wgxQnbuaSktArGlJjEbsko065mYr23Lo32Mz1Dgcm5KRkg4UbUM2G38muiC8ycU3r4zEWJZ-56ITZgGFQ7jr03PxmKuc9SQnuc8~-AS90AobsmBK4xA5HSn31cc0EnBwp02XzuTP9irb0MLeqXwkJF-EAmm8Qwmq9KpZ5UC1DvI8T1WtHOGVOrRz7GgLePn8v0-DaIss-QBDRilaibJGDJp2542ufPBxWyr-zjAlL6fL6gVbAjBJnRf6u5l-bkIEH-YKn8A__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":261,"name":"Geography","url":"https://www.academia.edu/Documents/in/Geography"},{"id":1142,"name":"Western Europe","url":"https://www.academia.edu/Documents/in/Western_Europe"},{"id":17825,"name":"Biodiversity","url":"https://www.academia.edu/Documents/in/Biodiversity"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary"},{"id":33319,"name":"Nature","url":"https://www.academia.edu/Documents/in/Nature"}],"urls":[{"id":34196011,"url":"https://dro.dur.ac.uk/32358/1/32358.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107434668"><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/107434668/How_Often_Should_Dead_Reckoned_Animal_Movement_Paths_be_Corrected_for_Drift"><img alt="Research paper thumbnail of How Often Should Dead-Reckoned Animal Movement Paths be Corrected for Drift?" class="work-thumbnail" src="https://attachments.academia-assets.com/106101794/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434668/How_Often_Should_Dead_Reckoned_Animal_Movement_Paths_be_Corrected_for_Drift">How Often Should Dead-Reckoned Animal Movement Paths be Corrected for Drift?</a></div><div class="wp-workCard_item"><span>Research Square (Research Square)</span><span>, Jun 9, 2021</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5918c8e4c14650d9a1e3a04a441d79a8" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101794,"asset_id":107434668,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101794/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107434668"><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="107434668"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434668; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5918c8e4c14650d9a1e3a04a441d79a8" } } $('.js-work-strip[data-work-id=107434668]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107434668,"title":"How Often Should Dead-Reckoned Animal Movement Paths be Corrected for Drift?","translated_title":"","metadata":{"publisher":"Research Square","grobid_abstract":"Background: Understanding what animals do in time and space is important for a range of ecological questions, however accurate estimates of how animals use space is challenging. Within the use of animal-attached tags, radio telemetry (including the Global Positioning System, 'GPS') is typically used to verify an animal's location periodically. Straight lines are typically drawn between these 'Verified Positions' ('VPs') so the interpolation of space-use is limited by the temporal and spatial resolution of the system's measurement. As such, parameters such as route-taken and distance travelled can be poorly represented when using VP systems alone. Dead-reckoning has been suggested as a technique to improve the accuracy and resolution of reconstructed movement paths, whilst maximising battery life of VP systems. This typically involves deriving travel vectors from motion sensor systems and periodically correcting path dimensions for drift with simultaneously deployed VP systems. How often paths should be corrected for drift, however, has remained unclear. Methods and results: Here, we review the utility of dead-reckoning across four contrasting model species using different forms of locomotion (the African lion Panthera leo, the red-tailed tropicbird Phaethon rubricauda, the Magellanic penguin Spheniscus magellanicus, and the imperial cormorant Leucocarbo atriceps). Simulations were performed to examine the extent of dead-reckoning error, relative to VPs, as a function of Verified Position correction (VP correction) rate and the effect of this on estimates of distance moved. Dead-reckoning error was greatest for animals travelling within air and water. We demonstrate how sources of measurement error can arise within VP-corrected dead-reckoned tracks and propose advancements to this procedure to maximise dead-reckoning accuracy. Conclusions: We review the utility of VP-corrected dead-reckoning according to movement type and consider a range of ecological questions that would benefit from dead-reckoning, primarily concerning animal-barrier interactions and foraging strategies.","publication_date":{"day":9,"month":6,"year":2021,"errors":{}},"publication_name":"Research Square (Research Square)","grobid_abstract_attachment_id":106101794},"translated_abstract":null,"internal_url":"https://www.academia.edu/107434668/How_Often_Should_Dead_Reckoned_Animal_Movement_Paths_be_Corrected_for_Drift","translated_internal_url":"","created_at":"2023-10-01T02:17:02.978-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":106101794,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101794/thumbnails/1.jpg","file_name":"s40317-021-00265-9.pdf","download_url":"https://www.academia.edu/attachments/106101794/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"How_Often_Should_Dead_Reckoned_Animal_Mo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101794/s40317-021-00265-9-libre.pdf?1696153958=\u0026response-content-disposition=attachment%3B+filename%3DHow_Often_Should_Dead_Reckoned_Animal_Mo.pdf\u0026Expires=1732361461\u0026Signature=KAT~rY54QN1VQNCDl4yTOO3vE7WMLQ1~DHpw3tm4Q24gWV-UToxx2lkba-Ncal3hhjjUiVGtittQMaJ79pdkoWKYCsd3LAIYckBrhR89p3yKKjxewkWYxpeDRJBHYztQ~is0Vk~UEXaMKxz8-2jPkhKd~PptVwCjBA7XKu08EmR4v4bJa48XovZ~P1HoGqjPS-GO1AfH3at1pTU1s~hdaDWls1qRWpkIy9~rZSuOZpNjckwLNgTxilKyj4B160f932sLKo1QxuPxS08bWwH5uPsog-wGRlRRHx6rxyoCvvZhnn1Fq~n7c08Cz-ax9aaCQcf0UEwyfTdnw1k5tKNYrQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"How_Often_Should_Dead_Reckoned_Animal_Movement_Paths_be_Corrected_for_Drift","translated_slug":"","page_count":22,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[{"id":106101794,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/106101794/thumbnails/1.jpg","file_name":"s40317-021-00265-9.pdf","download_url":"https://www.academia.edu/attachments/106101794/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"How_Often_Should_Dead_Reckoned_Animal_Mo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/106101794/s40317-021-00265-9-libre.pdf?1696153958=\u0026response-content-disposition=attachment%3B+filename%3DHow_Often_Should_Dead_Reckoned_Animal_Mo.pdf\u0026Expires=1732361461\u0026Signature=KAT~rY54QN1VQNCDl4yTOO3vE7WMLQ1~DHpw3tm4Q24gWV-UToxx2lkba-Ncal3hhjjUiVGtittQMaJ79pdkoWKYCsd3LAIYckBrhR89p3yKKjxewkWYxpeDRJBHYztQ~is0Vk~UEXaMKxz8-2jPkhKd~PptVwCjBA7XKu08EmR4v4bJa48XovZ~P1HoGqjPS-GO1AfH3at1pTU1s~hdaDWls1qRWpkIy9~rZSuOZpNjckwLNgTxilKyj4B160f932sLKo1QxuPxS08bWwH5uPsog-wGRlRRHx6rxyoCvvZhnn1Fq~n7c08Cz-ax9aaCQcf0UEwyfTdnw1k5tKNYrQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":25384,"name":"Global Positioning System","url":"https://www.academia.edu/Documents/in/Global_Positioning_System"},{"id":181597,"name":"Root-Mean Square Error","url":"https://www.academia.edu/Documents/in/Root-Mean_Square_Error"},{"id":839252,"name":"Dead Reckoning","url":"https://www.academia.edu/Documents/in/Dead_Reckoning"}],"urls":[{"id":34196010,"url":"https://doi.org/10.21203/rs.3.rs-587959/v1"}]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107434666"><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/107434666/Dead_reckoning_animal_movements_in_R_a_reappraisal_using_Gundog_Tracks"><img alt="Research paper thumbnail of Dead-reckoning animal movements in R: a reappraisal using Gundog.Tracks" class="work-thumbnail" src="https://attachments.academia-assets.com/106101755/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434666/Dead_reckoning_animal_movements_in_R_a_reappraisal_using_Gundog_Tracks">Dead-reckoning animal movements in R: a reappraisal using Gundog.Tracks</a></div><div class="wp-workCard_item"><span>Animal Biotelemetry</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background Fine-scale data on animal position are increasingly enabling us to understand the deta...</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">Background Fine-scale data on animal position are increasingly enabling us to understand the details of animal movement ecology and dead-reckoning, a technique integrating motion sensor-derived information on heading and speed, can be used to reconstruct fine-scale movement paths at sub-second resolution, irrespective of the environment. On its own however, the dead-reckoning process is prone to cumulative errors, so that position estimates quickly become uncoupled from true location. Periodic ground-truthing with aligned location data (e.g., from global positioning technology) can correct for this drift between Verified Positions (VPs). We present step-by-step instructions for implementing Verified Position Correction (VPC) dead-reckoning in R using the tilt-compensated compass method, accompanied by the mathematical protocols underlying the code and improvements and extensions of this technique to reduce the trade-off between VPC rate and dead-reckoning accuracy. These protocols a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="581e5ca49ffde6ff54c04f1e7a70b5ef" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101755,"asset_id":107434666,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101755/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107434666"><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="107434666"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434666; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=107434666]").text(description); $(".js-view-count[data-work-id=107434666]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 107434666; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='107434666']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 107434666, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "581e5ca49ffde6ff54c04f1e7a70b5ef" } } $('.js-work-strip[data-work-id=107434666]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107434666,"title":"Dead-reckoning animal movements in R: a reappraisal using Gundog.Tracks","translated_title":"","metadata":{"abstract":"Background Fine-scale data on animal position are increasingly enabling us to understand the details of animal movement ecology and dead-reckoning, a technique integrating motion sensor-derived information on heading and speed, can be used to reconstruct fine-scale movement paths at sub-second resolution, irrespective of the environment. On its own however, the dead-reckoning process is prone to cumulative errors, so that position estimates quickly become uncoupled from true location. Periodic ground-truthing with aligned location data (e.g., from global positioning technology) can correct for this drift between Verified Positions (VPs). We present step-by-step instructions for implementing Verified Position Correction (VPC) dead-reckoning in R using the tilt-compensated compass method, accompanied by the mathematical protocols underlying the code and improvements and extensions of this technique to reduce the trade-off between VPC rate and dead-reckoning accuracy. These protocols a...","publisher":"Springer Science and Business Media LLC","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Animal Biotelemetry"},"translated_abstract":"Background Fine-scale data on animal position are increasingly enabling us to understand the details of animal movement ecology and dead-reckoning, a technique integrating motion sensor-derived information on heading and speed, can be used to reconstruct fine-scale movement paths at sub-second resolution, irrespective of the environment. On its own however, the dead-reckoning process is prone to cumulative errors, so that position estimates quickly become uncoupled from true location. Periodic ground-truthing with aligned location data (e.g., from global positioning technology) can correct for this drift between Verified Positions (VPs). We present step-by-step instructions for implementing Verified Position Correction (VPC) dead-reckoning in R using the tilt-compensated compass method, accompanied by the mathematical protocols underlying the code and improvements and extensions of this technique to reduce the trade-off between VPC rate and dead-reckoning accuracy. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107434650"><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/107434650/Optimizing_the_use_of_biologgers_for_movement_ecology_research"><img alt="Research paper thumbnail of Optimizing the use of biologgers for movement ecology research" class="work-thumbnail" src="https://attachments.academia-assets.com/106101776/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107434650/Optimizing_the_use_of_biologgers_for_movement_ecology_research">Optimizing the use of biologgers for movement ecology research</a></div><div class="wp-workCard_item"><span>Journal of Animal Ecology</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The paradigm‐changing opportunities of biologging sensors for ecological research, especially mov...</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 paradigm‐changing opportunities of biologging sensors for ecological research, especially movement ecology, are vast, but the crucial questions of how best to match the most appropriate sensors and sensor combinations to specific biological questions and how to analyse complex biologging data, are mostly ignored. Here, we fill this gap by reviewing how to optimize the use of biologging techniques to answer questions in movement ecology and synthesize this into an Integrated Biologging Framework (IBF). We highlight that multisensor approaches are a new frontier in biologging, while identifying current limitations and avenues for future development in sensor technology. We focus on the importance of efficient data exploration, and more advanced multidimensional visualization methods, combined with appropriate archiving and sharing approaches, to tackle the big data issues presented by biologging. We also discuss the challenges and opportunities in matching the peculiarities of spe...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3a01bc0eeaa5da06780599c826750a49" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":106101776,"asset_id":107434650,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/106101776/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107434650"><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="107434650"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107434650; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=107434650]").text(description); $(".js-view-count[data-work-id=107434650]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 107434650; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='107434650']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 107434650, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3a01bc0eeaa5da06780599c826750a49" } } $('.js-work-strip[data-work-id=107434650]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":107434650,"title":"Optimizing the use of biologgers for movement ecology research","translated_title":"","metadata":{"abstract":"The paradigm‐changing opportunities of biologging sensors for ecological research, especially movement ecology, are vast, but the crucial questions of how best to match the most appropriate sensors and sensor combinations to specific biological questions and how to analyse complex biologging data, are mostly ignored. Here, we fill this gap by reviewing how to optimize the use of biologging techniques to answer questions in movement ecology and synthesize this into an Integrated Biologging Framework (IBF). We highlight that multisensor approaches are a new frontier in biologging, while identifying current limitations and avenues for future development in sensor technology. We focus on the importance of efficient data exploration, and more advanced multidimensional visualization methods, combined with appropriate archiving and sharing approaches, to tackle the big data issues presented by biologging. We also discuss the challenges and opportunities in matching the peculiarities of spe...","publisher":"Wiley","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Journal of Animal Ecology"},"translated_abstract":"The paradigm‐changing opportunities of biologging sensors for ecological research, especially movement ecology, are vast, but the crucial questions of how best to match the most appropriate sensors and sensor combinations to specific biological questions and how to analyse complex biologging data, are mostly ignored. Here, we fill this gap by reviewing how to optimize the use of biologging techniques to answer questions in movement ecology and synthesize this into an Integrated Biologging Framework (IBF). We highlight that multisensor approaches are a new frontier in biologging, while identifying current limitations and avenues for future development in sensor technology. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="92413559"><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/92413559/How_to_scale_up_from_animal_movement_decisions_to_spatio_temporal_patterns_an_approach_via_step_selection"><img alt="Research paper thumbnail of How to scale up from animal movement decisions to spatio-temporal patterns: an approach via step selection" class="work-thumbnail" src="https://attachments.academia-assets.com/95428798/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/92413559/How_to_scale_up_from_animal_movement_decisions_to_spatio_temporal_patterns_an_approach_via_step_selection">How to scale up from animal movement decisions to spatio-temporal patterns: an approach via step selection</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Uncovering the mechanisms behind animal space use patterns is of vital importance for predictive ...</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">Uncovering the mechanisms behind animal space use patterns is of vital importance for predictive ecology, thus conservation and management of ecosystems. Movement is a core driver of those patterns so understanding how movement mechanisms give rise to space use patterns has become an increasingly active area of research.This study focuses on a particular strand of research in this area, based around step selection analysis (SSA). SSA is a popular way of inferring drivers of movement decisions, but, perhaps less well-appreciated, it also parametrises a model of animal movement. Of key interest is that this model can be propogated forwards in time to predict the space use patterns over broader spatial and temporal scales than those that pertain to the proximate movement decisions of animals.Here, we provide a guide for understanding and using the various existing techniques for scaling-up step selection models to predict broad scale space use patterns. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="92413557"><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/92413557/Spostamenti_dellistrice_in_relazione_al_sito_di_tana"><img alt="Research paper thumbnail of Spostamenti dell'istrice in relazione al sito di tana" class="work-thumbnail" src="https://attachments.academia-assets.com/95428801/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/92413557/Spostamenti_dellistrice_in_relazione_al_sito_di_tana">Spostamenti dell'istrice in relazione al sito di tana</a></div><div class="wp-workCard_item"><span>Hystrix-italian Journal of Mammalogy</span><span>, 2003</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">La ricerca e stata condotta da luglio 1997 a settembre 1999 in un?area del Parco Regionale della ...</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">La ricerca e stata condotta da luglio 1997 a settembre 1999 in un?area del Parco Regionale della Maremma (Grosseto) per A) individuare le caratteristiche dei siti di tana e degli ingressi maggiormente utilizzati dagli istrici; B) rilevare il rapporto spazio- temporale esistente tra gli individui e le loro tane. Ventisette animali, 14 maschi e 13 femmine, sono stati catturati, muniti di radio-collare e localizzati periodicamente (min. 2 notti/settimana con 1 fix/2h per notte). E stata individuata mensilmente la tana di ciascun animale con radio-collare, mediante homing in . Ogni tana e stata georiferita e sono stati effettuati una serie di rilevamenti morfologici, vegetazionali e orografici del sito, oltre che la registrazione del numero di animali marcati in essa presenti. In totale, sono state individuate 31 tane differenti su 81 homing in condotti. Sono state calcolate e analizzate le distanze di ciascun animale dalla propria tana in otto fasce orarie di circa 3 ore ciascuna. Le a...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="5b2e3ccb8d8d4a06d9918c5ee618e3fc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":95428801,"asset_id":92413557,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/95428801/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="92413557"><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="92413557"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 92413557; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=92413557]").text(description); $(".js-view-count[data-work-id=92413557]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 92413557; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='92413557']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 92413557, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "5b2e3ccb8d8d4a06d9918c5ee618e3fc" } } $('.js-work-strip[data-work-id=92413557]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":92413557,"title":"Spostamenti dell'istrice in relazione al sito di tana","translated_title":"","metadata":{"abstract":"La ricerca e stata condotta da luglio 1997 a settembre 1999 in un?area del Parco Regionale della Maremma (Grosseto) per A) individuare le caratteristiche dei siti di tana e degli ingressi maggiormente utilizzati dagli istrici; B) rilevare il rapporto spazio- temporale esistente tra gli individui e le loro tane. Ventisette animali, 14 maschi e 13 femmine, sono stati catturati, muniti di radio-collare e localizzati periodicamente (min. 2 notti/settimana con 1 fix/2h per notte). E stata individuata mensilmente la tana di ciascun animale con radio-collare, mediante homing in . Ogni tana e stata georiferita e sono stati effettuati una serie di rilevamenti morfologici, vegetazionali e orografici del sito, oltre che la registrazione del numero di animali marcati in essa presenti. In totale, sono state individuate 31 tane differenti su 81 homing in condotti. Sono state calcolate e analizzate le distanze di ciascun animale dalla propria tana in otto fasce orarie di circa 3 ore ciascuna. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="92413556"><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/92413556/Fine_scale_changes_in_speed_and_altitude_suggest_protean_movements_in_homing_pigeon_flights"><img alt="Research paper thumbnail of Fine-scale changes in speed and altitude suggest protean movements in homing pigeon flights" class="work-thumbnail" src="https://attachments.academia-assets.com/95428744/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/92413556/Fine_scale_changes_in_speed_and_altitude_suggest_protean_movements_in_homing_pigeon_flights">Fine-scale changes in speed and altitude suggest protean movements in homing pigeon flights</a></div><div class="wp-workCard_item"><span>Royal Society Open Science</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The power curve provides a basis for predicting adjustments that animals make in flight speed, 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">The power curve provides a basis for predicting adjustments that animals make in flight speed, for example in relation to wind, distance, habitat foraging quality and objective. However, relatively few studies have examined how animals respond to the landscape below them, which could affect speed and power allocation through modifications in climb rate and perceived predation risk. We equipped homing pigeons ( Columba livia ) with high-frequency loggers to examine how flight speed, and hence effort, varies in relation to topography and land cover. Pigeons showed mixed evidence for an energy-saving strategy, as they minimized climb rates by starting their ascent ahead of hills, but selected rapid speeds in their ascents. Birds did not modify their speed substantially in relation to land cover, but used higher speeds during descending flight, highlighting the importance of considering the rate of change in altitude before estimating power use from speed. Finally, we document an unexpe...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="078f42cffb5c9294402e12a60b6ed4d5" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":95428744,"asset_id":92413556,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/95428744/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="92413556"><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="92413556"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 92413556; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=92413556]").text(description); $(".js-view-count[data-work-id=92413556]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 92413556; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='92413556']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 92413556, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "078f42cffb5c9294402e12a60b6ed4d5" } } $('.js-work-strip[data-work-id=92413556]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":92413556,"title":"Fine-scale changes in speed and altitude suggest protean movements in homing pigeon flights","translated_title":"","metadata":{"abstract":"The power curve provides a basis for predicting adjustments that animals make in flight speed, for example in relation to wind, distance, habitat foraging quality and objective. However, relatively few studies have examined how animals respond to the landscape below them, which could affect speed and power allocation through modifications in climb rate and perceived predation risk. We equipped homing pigeons ( Columba livia ) with high-frequency loggers to examine how flight speed, and hence effort, varies in relation to topography and land cover. Pigeons showed mixed evidence for an energy-saving strategy, as they minimized climb rates by starting their ascent ahead of hills, but selected rapid speeds in their ascents. Birds did not modify their speed substantially in relation to land cover, but used higher speeds during descending flight, highlighting the importance of considering the rate of change in altitude before estimating power use from speed. Finally, we document an unexpe...","publisher":"The Royal Society","publication_date":{"day":null,"month":null,"year":2021,"errors":{}},"publication_name":"Royal Society Open Science"},"translated_abstract":"The power curve provides a basis for predicting adjustments that animals make in flight speed, for example in relation to wind, distance, habitat foraging quality and objective. However, relatively few studies have examined how animals respond to the landscape below them, which could affect speed and power allocation through modifications in climb rate and perceived predation risk. We equipped homing pigeons ( Columba livia ) with high-frequency loggers to examine how flight speed, and hence effort, varies in relation to topography and land cover. Pigeons showed mixed evidence for an energy-saving strategy, as they minimized climb rates by starting their ascent ahead of hills, but selected rapid speeds in their ascents. 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Invasion Speed</a></div><div class="wp-workCard_item"><span>Mathematics</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We model the growth, dispersal and mutation of two phenotypes of a species using reaction–diffusi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We model the growth, dispersal and mutation of two phenotypes of a species using reaction–diffusion equations, focusing on the biologically realistic case of small mutation rates. Having verified that the addition of a small linear mutation term to a Lotka–Volterra system limits it to only two steady states in the case of weak competition, an unstable extinction state and a stable coexistence state, we exploit the fact that the spreading speed of the system is known to be linearly determinate to show that the spreading speed is a nonincreasing function of the mutation rate, so that greater mixing between phenotypes leads to slower propagation. We also find the ratio at which the phenotypes occur at the leading edge in the limit of vanishing mutation.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="40561b59b0563292edc2c19b4a3d9bc4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":95428743,"asset_id":92413552,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/95428743/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="92413552"><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="92413552"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 92413552; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=92413552]").text(description); $(".js-view-count[data-work-id=92413552]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 92413552; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='92413552']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 92413552, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "40561b59b0563292edc2c19b4a3d9bc4" } } $('.js-work-strip[data-work-id=92413552]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":92413552,"title":"Individual Variability in Dispersal and Invasion Speed","translated_title":"","metadata":{"abstract":"We model the growth, dispersal and mutation of two phenotypes of a species using reaction–diffusion equations, focusing on the biologically realistic case of small mutation rates. 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a case study with birds diving in tidal waters</a></div><div class="wp-workCard_item"><span>Integrative zoology</span><span>, Jan 31, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Animal-attached technologies can be powerful means to quantify space-use and behaviour, however, ...</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">Animal-attached technologies can be powerful means to quantify space-use and behaviour, however, there are also ethical implications associated with capturing and instrumenting animals. Furthermore, tagging approaches are not necessarily well-suited for examining the movements of multiple individuals within specific, local areas of interest. Here, we assess a method of quantifying animal space use based on a modified theodolite with an inbuilt laser rangefinder. Using a database of &gt; 4,200 tracks of migrating birds, we show that detection distance increases with bird body mass (range 5 g - &gt;10 kg). The maximum distance recorded to a bird was 5500 m and measurement error was ≤ 5 m for targets within this distance range; a level comparable to methods such as GPS tagging. We go on to present a case study where this method was used to assess habitat selection in seabirds operating in dynamic coastal waters close to a tidal turbine. Combining positional data with outputs from a hyd...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="9a5e19b6bff66222a222ad1c2252a2d3" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":95428793,"asset_id":92413551,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/95428793/download_file?st=MTczMjM4MTIwNSw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="92413551"><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="92413551"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 92413551; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=92413551]").text(description); $(".js-view-count[data-work-id=92413551]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 92413551; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='92413551']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 92413551, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "9a5e19b6bff66222a222ad1c2252a2d3" } } $('.js-work-strip[data-work-id=92413551]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":92413551,"title":"The Ornithodolite as a tool to quantify animal space use and habitat selection; a case study with birds diving in tidal waters","translated_title":"","metadata":{"abstract":"Animal-attached technologies can be powerful means to quantify space-use and behaviour, however, there are also ethical implications associated with capturing and instrumenting animals. Furthermore, tagging approaches are not necessarily well-suited for examining the movements of multiple individuals within specific, local areas of interest. Here, we assess a method of quantifying animal space use based on a modified theodolite with an inbuilt laser rangefinder. Using a database of \u0026gt; 4,200 tracks of migrating birds, we show that detection distance increases with bird body mass (range 5 g - \u0026gt;10 kg). The maximum distance recorded to a bird was 5500 m and measurement error was ≤ 5 m for targets within this distance range; a level comparable to methods such as GPS tagging. We go on to present a case study where this method was used to assess habitat selection in seabirds operating in dynamic coastal waters close to a tidal turbine. Combining positional data with outputs from a hyd...","publication_date":{"day":31,"month":1,"year":2018,"errors":{}},"publication_name":"Integrative zoology"},"translated_abstract":"Animal-attached technologies can be powerful means to quantify space-use and behaviour, however, there are also ethical implications associated with capturing and instrumenting animals. Furthermore, tagging approaches are not necessarily well-suited for examining the movements of multiple individuals within specific, local areas of interest. Here, we assess a method of quantifying animal space use based on a modified theodolite with an inbuilt laser rangefinder. Using a database of \u0026gt; 4,200 tracks of migrating birds, we show that detection distance increases with bird body mass (range 5 g - \u0026gt;10 kg). The maximum distance recorded to a bird was 5500 m and measurement error was ≤ 5 m for targets within this distance range; a level comparable to methods such as GPS tagging. 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An integrated approach to classify and quantify animal space-use behaviour.</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="1775770"><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="1775770"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1775770; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1775770]").text(description); $(".js-view-count[data-work-id=1775770]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1775770; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1775770']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1775770, 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" } } $('.js-work-strip[data-work-id=1775770]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1775770,"title":"A migrant, a disperser, or a home-lover? 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Traditional demographic models are generally not well suited for this task, given the scarce ability to predict responses to new landscapes and environmental conditions. A better understanding of the movement of organisms is considered crucial, yet an explicit connection between movement and population dynamic studies is rarely attained. I present here a mix of recent work (modelling dispersal and migration) and theoretical reflections (connecting the movement ecology framework to population dynamics or species distributions; connecting studies of large scale movement behaviours, which are traditionally investigated separately) on how to progress on this research direction.</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="1775745"><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="1775745"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1775745; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1775745]").text(description); $(".js-view-count[data-work-id=1775745]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1775745; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1775745']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1775745, 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" } } $('.js-work-strip[data-work-id=1775745]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1775745,"title":"Individual Variation and Fitness Consequences of Animal Movements: Predicting Population Persistence under Environmental Change.","translated_title":"","metadata":{"abstract":"Predicting how animal populations will respond to increasingly modified landscapes and changing climate conditions, or how to maximize biodiversity retention whilst accommodating the increasing spatial needs of human populations, requires understanding the mechanisms that determine variation over time in the number of organisms present at any point in space through the three basic processes of survival, reproduction and movement (immigration and emigration) of organisms. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1775740"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/1775740/Efficience_des_mesures_agro_environnementales_r%C3%A9ponse_des_esp%C3%A8ces_et_effet_sur_la_structure_des_communaut%C3%A9s_d_oiseaux_dans_les_agro_%C3%A9cosyst%C3%A8mes"><img alt="Research paper thumbnail of Efficience des mesures agro-environnementales: réponse des espèces et effet sur la structure des communautés d’oiseaux dans les agro-écosystèmes." class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/1775740/Efficience_des_mesures_agro_environnementales_r%C3%A9ponse_des_esp%C3%A8ces_et_effet_sur_la_structure_des_communaut%C3%A9s_d_oiseaux_dans_les_agro_%C3%A9cosyst%C3%A8mes">Efficience des mesures agro-environnementales: réponse des espèces et effet sur la structure des communautés d’oiseaux dans les agro-écosystèmes.</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Les mesures agro-environnementales (MAE) sont des mesures fréquemment utilisées pour atténuer l'i...</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">Les mesures agro-environnementales (MAE) sont des mesures fréquemment utilisées pour atténuer l'impact négatif de l'agriculture intensive sur la biodiversité . L'efficacité des MAE est cependant controversée, car les réponses dépendent du taxon considéré et sont modulées par le contexte spatial et temporel. Ici, nous présentons une approche multi-espèces, pour quantifier la réponse des espèces et des communautés à la mise en place de MAE. En utilisant un suivi long terme, sur une vaste échelle spatiale (430 km2) où l'utilisation des terres de chaque parcelle est contrôlé chaque année depuis 15 ans, nous avons étudié les communautés d'oiseaux des agro-écosystèmes du centre ouest de la France en réponse aux MAE (n = 84 espèces, suivis sur une grille spatiale de 355 sites de comptage ponctuel; 1420 comptages au total).<br /><br />Nous avons développé une approche de modélisation hiérarchique et multi-spécifique pour quantifier les variations d’abondance de quinze espèces d’oiseaux dominantes, de l’échelle de la parcelle au paysage. Les résultats mettent en évidence des fortes différences de réponse entre espèces à la présence de MAE. Ces réponses sont modifiées également par le contexte paysagé (% de forêts, prairies, cultures), ainsi que par les échelles spatiales et temporelles considérées dans les analyses. Nous soulignons également l'importance de l'intensité d'utilisation des terres, avec un fort effet de l’assolement au cours des cinq années précédent le comptage, ainsi que de grandes différences entre les zones à l'intérieur ou à l'extérieur d'une zone de protection spéciale « Natura 2000 ». Nous analysons également les conséquences de la réponse individuelle des espèces aux MAEs sur la structure des communautés d’oiseaux dans l’agroécosystème. Sur la base de ces résultats, nous développons des recommandations pour augmenter l'efficacité des mesures MAE dans la conservation de la biodiversité.</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="1775740"><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="1775740"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1775740; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1775740]").text(description); $(".js-view-count[data-work-id=1775740]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1775740; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1775740']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1775740, 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" } } $('.js-work-strip[data-work-id=1775740]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1775740,"title":"Efficience des mesures agro-environnementales: réponse des espèces et effet sur la structure des communautés d’oiseaux dans les agro-écosystèmes.","translated_title":"","metadata":{"abstract":"Les mesures agro-environnementales (MAE) sont des mesures fréquemment utilisées pour atténuer l'impact négatif de l'agriculture intensive sur la biodiversité . 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Ces réponses sont modifiées également par le contexte paysagé (% de forêts, prairies, cultures), ainsi que par les échelles spatiales et temporelles considérées dans les analyses. Nous soulignons également l'importance de l'intensité d'utilisation des terres, avec un fort effet de l’assolement au cours des cinq années précédent le comptage, ainsi que de grandes différences entre les zones à l'intérieur ou à l'extérieur d'une zone de protection spéciale « Natura 2000 ». Nous analysons également les conséquences de la réponse individuelle des espèces aux MAEs sur la structure des communautés d’oiseaux dans l’agroécosystème. Sur la base de ces résultats, nous développons des recommandations pour augmenter l'efficacité des mesures MAE dans la conservation de la biodiversité.","location":"Le Réveil du Dodo IV; Université de Bourgogne, DIjon, France.","more_info":"Co-presented with Steve Augiron and Vincent Bretagnolle.","event_date":{"day":3,"month":5,"year":2012,"errors":{}},"conference_end_date":{"day":4,"month":5,"year":2012,"errors":{}},"conference_start_date":{"day":2,"month":5,"year":2012,"errors":{}}},"translated_abstract":"Les mesures agro-environnementales (MAE) sont des mesures fréquemment utilisées pour atténuer l'impact négatif de l'agriculture intensive sur la biodiversité . L'efficacité des MAE est cependant controversée, car les réponses dépendent du taxon considéré et sont modulées par le contexte spatial et temporel. Ici, nous présentons une approche multi-espèces, pour quantifier la réponse des espèces et des communautés à la mise en place de MAE. En utilisant un suivi long terme, sur une vaste échelle spatiale (430 km2) où l'utilisation des terres de chaque parcelle est contrôlé chaque année depuis 15 ans, nous avons étudié les communautés d'oiseaux des agro-écosystèmes du centre ouest de la France en réponse aux MAE (n = 84 espèces, suivis sur une grille spatiale de 355 sites de comptage ponctuel; 1420 comptages au total).\n\nNous avons développé une approche de modélisation hiérarchique et multi-spécifique pour quantifier les variations d’abondance de quinze espèces d’oiseaux dominantes, de l’échelle de la parcelle au paysage. Les résultats mettent en évidence des fortes différences de réponse entre espèces à la présence de MAE. Ces réponses sont modifiées également par le contexte paysagé (% de forêts, prairies, cultures), ainsi que par les échelles spatiales et temporelles considérées dans les analyses. Nous soulignons également l'importance de l'intensité d'utilisation des terres, avec un fort effet de l’assolement au cours des cinq années précédent le comptage, ainsi que de grandes différences entre les zones à l'intérieur ou à l'extérieur d'une zone de protection spéciale « Natura 2000 ». Nous analysons également les conséquences de la réponse individuelle des espèces aux MAEs sur la structure des communautés d’oiseaux dans l’agroécosystème. Sur la base de ces résultats, nous développons des recommandations pour augmenter l'efficacité des mesures MAE dans la conservation de la biodiversité.","internal_url":"https://www.academia.edu/1775740/Efficience_des_mesures_agro_environnementales_r%C3%A9ponse_des_esp%C3%A8ces_et_effet_sur_la_structure_des_communaut%C3%A9s_d_oiseaux_dans_les_agro_%C3%A9cosyst%C3%A8mes","translated_internal_url":"","created_at":"2012-07-08T22:59:20.507-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"conference_presentation","co_author_tags":[],"downloadable_attachments":[],"slug":"Efficience_des_mesures_agro_environnementales_réponse_des_espèces_et_effet_sur_la_structure_des_communautés_d_oiseaux_dans_les_agro_écosystèmes","translated_slug":"","page_count":null,"language":"fr","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"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="1775802"><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/1775802/Space_use_strategies_across_a_species_range_environmental_change_and_human_disturbance"><img alt="Research paper thumbnail of Space use strategies across a species range: environmental change and human disturbance." 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/1775802/Space_use_strategies_across_a_species_range_environmental_change_and_human_disturbance">Space use strategies across a species range: environmental change and human disturbance.</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Abstract: Environmental change triggers behavioural responses. Movement is generally one of the f...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Abstract:<br />Environmental change triggers behavioural responses. Movement is generally one of the first and most important responses, with profound effects on the dynamics and persistence of populations and, therefore, on biodiversity. Animal movement patterns are the expression of several behaviours corresponding to different life history priorities and are thus characterized by a hierarchical multiphasic structure – that is, compound (‘intermittent’) movement patterns comprising two or more elementary types of movement. Whilst this concept of intermittent locomotion across scales has been successfully applied to short-term movements, such as foraging, research is lacking on a unified approach for behavioural responses at large spatio-temporal scales, relevant for population and range dynamics. Instead, most research ignores the intimate connections between large-scale space use strategies such as sedentarism (‘home range), dispersal, or migration, yet considering that there is a continuum between the extremes of sedentarism and nomadism a better conceptual understanding of the dynamics and patterns of animal movements can be obtained. I present a novel approach, based on the net squared displacement statistics as a synthetic measure of animal movements, combined with a hierarchical nonlinear modelling framework. I present the theoretical basis and then exemplify the approach using two large scale datasets. First, data from 213 GPS-collared moose sampled across a 1100 km latitudinal gradient across Sweden, showing how population differences in distribution are generated by age-dependent individual responses to environmental conditions and human disturbance (snow depth and road density). Second, I use a dataset of 320 GPS-collared roe deer, spanning a latitudinal gradient from Norway to southern Italy to investigate space use decisions across scales.</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="1775802"><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="1775802"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1775802; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1775802]").text(description); $(".js-view-count[data-work-id=1775802]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1775802; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1775802']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1775802, 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" } } $('.js-work-strip[data-work-id=1775802]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1775802,"title":"Space use strategies across a species range: environmental change and human disturbance.","translated_title":"","metadata":{"abstract":"Abstract:\nEnvironmental change triggers behavioural responses. Movement is generally one of the first and most important responses, with profound effects on the dynamics and persistence of populations and, therefore, on biodiversity. Animal movement patterns are the expression of several behaviours corresponding to different life history priorities and are thus characterized by a hierarchical multiphasic structure – that is, compound (‘intermittent’) movement patterns comprising two or more elementary types of movement. Whilst this concept of intermittent locomotion across scales has been successfully applied to short-term movements, such as foraging, research is lacking on a unified approach for behavioural responses at large spatio-temporal scales, relevant for population and range dynamics. Instead, most research ignores the intimate connections between large-scale space use strategies such as sedentarism (‘home range), dispersal, or migration, yet considering that there is a continuum between the extremes of sedentarism and nomadism a better conceptual understanding of the dynamics and patterns of animal movements can be obtained. I present a novel approach, based on the net squared displacement statistics as a synthetic measure of animal movements, combined with a hierarchical nonlinear modelling framework. I present the theoretical basis and then exemplify the approach using two large scale datasets. First, data from 213 GPS-collared moose sampled across a 1100 km latitudinal gradient across Sweden, showing how population differences in distribution are generated by age-dependent individual responses to environmental conditions and human disturbance (snow depth and road density). Second, I use a dataset of 320 GPS-collared roe deer, spanning a latitudinal gradient from Norway to southern Italy to investigate space use decisions across scales.","location":"8th Meeting Ecology and Behaviour - SERL; Centre d'Etudes Biologiques de Chizé, CNRS, Villiers-en-Bois, France.","more_info":"Parts later published in: \nBörger, L., Fryxell J. (2012). Quantifying individual differences in dispersal using the net squared displacement statistics. Ch. 17 In: Dispersal and Spatial Evolutionary Ecology. Editors: Clobert, J., Baguette, M., Benton, T., Bullock, J. Oxford University Press, Oxford (UK).\n\nand \n\nSingh, N. J., L. Börger, H. Dettki, N. Bunnefeld, and G. Ericsson. (in press). From migration to nomadism: movement variability in a northern ungulate across its latitudinal range. Ecological Applications.","event_date":{"day":5,"month":4,"year":2012,"errors":{}},"conference_end_date":{"day":6,"month":4,"year":2012,"errors":{}},"conference_start_date":{"day":2,"month":4,"year":2012,"errors":{}}},"translated_abstract":"Abstract:\nEnvironmental change triggers behavioural responses. Movement is generally one of the first and most important responses, with profound effects on the dynamics and persistence of populations and, therefore, on biodiversity. Animal movement patterns are the expression of several behaviours corresponding to different life history priorities and are thus characterized by a hierarchical multiphasic structure – that is, compound (‘intermittent’) movement patterns comprising two or more elementary types of movement. Whilst this concept of intermittent locomotion across scales has been successfully applied to short-term movements, such as foraging, research is lacking on a unified approach for behavioural responses at large spatio-temporal scales, relevant for population and range dynamics. Instead, most research ignores the intimate connections between large-scale space use strategies such as sedentarism (‘home range), dispersal, or migration, yet considering that there is a continuum between the extremes of sedentarism and nomadism a better conceptual understanding of the dynamics and patterns of animal movements can be obtained. I present a novel approach, based on the net squared displacement statistics as a synthetic measure of animal movements, combined with a hierarchical nonlinear modelling framework. I present the theoretical basis and then exemplify the approach using two large scale datasets. First, data from 213 GPS-collared moose sampled across a 1100 km latitudinal gradient across Sweden, showing how population differences in distribution are generated by age-dependent individual responses to environmental conditions and human disturbance (snow depth and road density). Second, I use a dataset of 320 GPS-collared roe deer, spanning a latitudinal gradient from Norway to southern Italy to investigate space use decisions across scales.","internal_url":"https://www.academia.edu/1775802/Space_use_strategies_across_a_species_range_environmental_change_and_human_disturbance","translated_internal_url":"","created_at":"2012-07-08T23:57:43.303-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"conference_presentation","co_author_tags":[],"downloadable_attachments":[],"slug":"Space_use_strategies_across_a_species_range_environmental_change_and_human_disturbance","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1775790"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/1775790/Sesso_da_caprioli_Tattiche_di_accoppiamento_nel_capriolo_e_indicazioni_per_la_gestione_della_caccia"><img alt="Research paper thumbnail of Sesso da caprioli - Tattiche di accoppiamento nel capriolo e indicazioni per la gestione della caccia." class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/1775790/Sesso_da_caprioli_Tattiche_di_accoppiamento_nel_capriolo_e_indicazioni_per_la_gestione_della_caccia">Sesso da caprioli - Tattiche di accoppiamento nel capriolo e indicazioni per la gestione della caccia.</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="1775790"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="1775790"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1775790; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1775790]").text(description); $(".js-view-count[data-work-id=1775790]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1775790; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1775790']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1775790, 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" } } $('.js-work-strip[data-work-id=1775790]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1775790,"title":"Sesso da caprioli - Tattiche di accoppiamento nel capriolo e indicazioni per la gestione della caccia.","translated_title":"","metadata":{"location":"Fondazione Edmund Mach, San Michele all'Adige, Trento, Italy.","more_info":"Incontro publico su \"Il capriolo e' in crisi? Esperienze dal panorama europeo\", seguito da tavola rotondo con il publico.","event_date":{"day":15,"month":2,"year":2012,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/1775790/Sesso_da_caprioli_Tattiche_di_accoppiamento_nel_capriolo_e_indicazioni_per_la_gestione_della_caccia","translated_internal_url":"","created_at":"2012-07-08T23:47:42.702-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"conference_presentation","co_author_tags":[],"downloadable_attachments":[],"slug":"Sesso_da_caprioli_Tattiche_di_accoppiamento_nel_capriolo_e_indicazioni_per_la_gestione_della_caccia","translated_slug":"","page_count":null,"language":"it","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1775764"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/1775764/Biodiversity_dynamics_Understanding_the_mechanisms_of_species_persistence_under_environmental_change"><img alt="Research paper thumbnail of Biodiversity dynamics: Understanding the mechanisms of species persistence under environmental change." class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/1775764/Biodiversity_dynamics_Understanding_the_mechanisms_of_species_persistence_under_environmental_change">Biodiversity dynamics: Understanding the mechanisms of species persistence under environmental change.</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="1775764"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="1775764"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1775764; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1775764]").text(description); $(".js-view-count[data-work-id=1775764]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1775764; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='1775764']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 1775764, 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" } } $('.js-work-strip[data-work-id=1775764]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":1775764,"title":"Biodiversity dynamics: Understanding the mechanisms of species persistence under environmental change.","translated_title":"","metadata":{"location":"Workshop \"Foraging in a changing world : ecological consequences and implications for conservation\"; CNRS, Université Paris-Sud, Orsay, France.","event_date":{"day":22,"month":9,"year":2011,"errors":{}}},"translated_abstract":null,"internal_url":"https://www.academia.edu/1775764/Biodiversity_dynamics_Understanding_the_mechanisms_of_species_persistence_under_environmental_change","translated_internal_url":"","created_at":"2012-07-08T23:24:36.819-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"conference_presentation","co_author_tags":[],"downloadable_attachments":[],"slug":"Biodiversity_dynamics_Understanding_the_mechanisms_of_species_persistence_under_environmental_change","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"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="557538"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/557538/Measuring_individual_variation_in_dispersal_and_its_demographic_consequences"><img alt="Research paper thumbnail of Measuring individual variation in dispersal and its demographic consequences" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/557538/Measuring_individual_variation_in_dispersal_and_its_demographic_consequences">Measuring individual variation in dispersal and its demographic consequences</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://swansea.academia.edu/LucaBorger">Luca Borger (Börger)</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/JohnFryxell">John Fryxell</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Background/Question/Methods Animal dispersal is an important spatial process yet we lack a good ...</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">Background/Question/Methods <br />Animal dispersal is an important spatial process yet we lack a good mechanistic understanding and the ability to accurately quantify and predict dispersal patterns. We present a new approach to develop population redistribution kernels starting from individual movement data, test potential drivers of individual differences in dispersal and investigate long-term survival consequences. The approach is based on the use of a single time-dependent distance statistics, the net square displacement, which encapsulates key statistical properties of animal movements. Different movement behaviors lead to different displacement patterns and the functional forms can be predicted from theory. Using nonlinear mixed effects models the most adequate model can be identified within a model selection framework, population redistribution kernel as well as individual differences in dispersal can be quantified, and hypothesized drivers of the latter can be tested. We first tested the approach using simulated movement data, showing that population and individual movement parameters are correctly estimated. Second, we applied the approach on a dataset of 234 female elk radiotracked up to seven years after release in four contrasting areas in Ontario, Canada. <br /> <br />Results/Conclusions <br />A multiphasic dispersal model (pre-dispersal, transience, settlement – modeled using a sigmoid function) best captured observed displacement patterns and was able to predict with near certainty displacement patterns over time and space, including different individuals and data on other populations obtained from the literature. Individual differences and the presence of conspecifics mostly determined differences in dispersal, together with the effects of release conditions, whereas effects of habitat differences were negligible. Finally, using Cox proportional hazard models it was shown that both the timing and distance of dispersal affected mortality risk 2 ~ 7 years after release. The approach provides a quantitative, predictive framework for dispersal ecology and reintroduction biology. <br /> <br />######################### <br />The method is published in full in Borger & Fryxell (2012 Oxford University Press, in press). An extension to model migration is presented in Borger et al. (2011 - Oxford University Press) and Bunnefeld & Borger et al. (2011 J. Anim. Ecol.).</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="557538"><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="557538"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 557538; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=557538]").text(description); $(".js-view-count[data-work-id=557538]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 557538; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='557538']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 557538, 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" } } $('.js-work-strip[data-work-id=557538]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":557538,"title":"Measuring individual variation in dispersal and its demographic consequences","translated_title":"","metadata":{"abstract":"Background/Question/Methods\r\nAnimal dispersal is an important spatial process yet we lack a good mechanistic understanding and the ability to accurately quantify and predict dispersal patterns. We present a new approach to develop population redistribution kernels starting from individual movement data, test potential drivers of individual differences in dispersal and investigate long-term survival consequences. The approach is based on the use of a single time-dependent distance statistics, the net square displacement, which encapsulates key statistical properties of animal movements. Different movement behaviors lead to different displacement patterns and the functional forms can be predicted from theory. Using nonlinear mixed effects models the most adequate model can be identified within a model selection framework, population redistribution kernel as well as individual differences in dispersal can be quantified, and hypothesized drivers of the latter can be tested. We first tested the approach using simulated movement data, showing that population and individual movement parameters are correctly estimated. Second, we applied the approach on a dataset of 234 female elk radiotracked up to seven years after release in four contrasting areas in Ontario, Canada. \r\n\r\nResults/Conclusions\r\nA multiphasic dispersal model (pre-dispersal, transience, settlement – modeled using a sigmoid function) best captured observed displacement patterns and was able to predict with near certainty displacement patterns over time and space, including different individuals and data on other populations obtained from the literature. Individual differences and the presence of conspecifics mostly determined differences in dispersal, together with the effects of release conditions, whereas effects of habitat differences were negligible. Finally, using Cox proportional hazard models it was shown that both the timing and distance of dispersal affected mortality risk 2 ~ 7 years after release. The approach provides a quantitative, predictive framework for dispersal ecology and reintroduction biology.\r\n\r\n#########################\r\nThe method is published in full in Borger \u0026 Fryxell (2012 Oxford University Press, in press). An extension to model migration is presented in Borger et al. (2011 - Oxford University Press) and Bunnefeld \u0026 Borger et al. (2011 J. Anim. Ecol.).","more_info":"Co-authored with John Fryxell and presented at the 95th ESA Meeting in Pittsburgh.","event_date":{"day":null,"month":8,"year":2010,"errors":{}},"journal_name":"Bulletin of the Ecological Society of America"},"translated_abstract":"Background/Question/Methods\r\nAnimal dispersal is an important spatial process yet we lack a good mechanistic understanding and the ability to accurately quantify and predict dispersal patterns. We present a new approach to develop population redistribution kernels starting from individual movement data, test potential drivers of individual differences in dispersal and investigate long-term survival consequences. The approach is based on the use of a single time-dependent distance statistics, the net square displacement, which encapsulates key statistical properties of animal movements. Different movement behaviors lead to different displacement patterns and the functional forms can be predicted from theory. Using nonlinear mixed effects models the most adequate model can be identified within a model selection framework, population redistribution kernel as well as individual differences in dispersal can be quantified, and hypothesized drivers of the latter can be tested. We first tested the approach using simulated movement data, showing that population and individual movement parameters are correctly estimated. Second, we applied the approach on a dataset of 234 female elk radiotracked up to seven years after release in four contrasting areas in Ontario, Canada. \r\n\r\nResults/Conclusions\r\nA multiphasic dispersal model (pre-dispersal, transience, settlement – modeled using a sigmoid function) best captured observed displacement patterns and was able to predict with near certainty displacement patterns over time and space, including different individuals and data on other populations obtained from the literature. Individual differences and the presence of conspecifics mostly determined differences in dispersal, together with the effects of release conditions, whereas effects of habitat differences were negligible. Finally, using Cox proportional hazard models it was shown that both the timing and distance of dispersal affected mortality risk 2 ~ 7 years after release. The approach provides a quantitative, predictive framework for dispersal ecology and reintroduction biology.\r\n\r\n#########################\r\nThe method is published in full in Borger \u0026 Fryxell (2012 Oxford University Press, in press). An extension to model migration is presented in Borger et al. (2011 - Oxford University Press) and Bunnefeld \u0026 Borger et al. (2011 J. Anim. Ecol.).","internal_url":"https://www.academia.edu/557538/Measuring_individual_variation_in_dispersal_and_its_demographic_consequences","translated_internal_url":"","created_at":"2011-05-01T08:09:31.737-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":14029,"coauthors_can_edit":true,"document_type":"conference_presentation","co_author_tags":[{"id":32038939,"work_id":557538,"tagging_user_id":14029,"tagged_user_id":38260716,"co_author_invite_id":null,"email":"j***l@uoguelph.ca","display_order":0,"name":"John Fryxell","title":"Measuring individual variation in dispersal and its demographic consequences"}],"downloadable_attachments":[],"slug":"Measuring_individual_variation_in_dispersal_and_its_demographic_consequences","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":14029,"first_name":"Luca","middle_initials":null,"last_name":"Borger (Börger)","page_name":"LucaBorger","domain_name":"swansea","created_at":"2008-10-31T01:33:48.242-07:00","display_name":"Luca Borger (Börger)","url":"https://swansea.academia.edu/LucaBorger"},"attachments":[],"research_interests":[{"id":892,"name":"Statistics","url":"https://www.academia.edu/Documents/in/Statistics"},{"id":2749,"name":"Animal Behavior","url":"https://www.academia.edu/Documents/in/Animal_Behavior"},{"id":2982,"name":"Movement Ecology","url":"https://www.academia.edu/Documents/in/Movement_Ecology"},{"id":7710,"name":"Biology","url":"https://www.academia.edu/Documents/in/Biology"},{"id":9846,"name":"Ecology","url":"https://www.academia.edu/Documents/in/Ecology"},{"id":25540,"name":"Dispersal Ecology","url":"https://www.academia.edu/Documents/in/Dispersal_Ecology"},{"id":25730,"name":"Behavioral Ecology","url":"https://www.academia.edu/Documents/in/Behavioral_Ecology"},{"id":68009,"name":"Wildlife Ecology (habitat Selection and Animal Movement)","url":"https://www.academia.edu/Documents/in/Wildlife_Ecology_habitat_Selection_and_Animal_Movement_"}],"urls":[{"id":61773,"url":"http://eco.confex.com/eco/2010/techprogram/P22048.HTM"}]}, dispatcherData: dispatcherData }); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="1655249"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/1655249/Animal_space_use_modelling"><img alt="Research paper thumbnail of Animal space use modelling" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/1655249/Animal_space_use_modelling">Animal space use modelling</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="1655249"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="1655249"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1655249; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="206594"><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/206594/Quantifying_the_difference_between_animal_movements_and_Brownian_motion_Why_do_we_still_fail"><img alt="Research paper thumbnail of Quantifying the difference between animal movements and Brownian motion: Why do we still fail?" 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/206594/Quantifying_the_difference_between_animal_movements_and_Brownian_motion_Why_do_we_still_fail">Quantifying the difference between animal movements and Brownian motion: Why do we still fail?</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Despite considerable research we still lack a satisfactory conceptual model of animal movement be...</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">Despite considerable research we still lack a satisfactory conceptual model of animal movement behavior. We offer a novel approach to this problem by combining statistical and mathematical modeling approaches. First, we present an integrated statistical framework for the analysis of animal space use data. Using data from mammal and bird species we address topics ranging from the allocation of field resources to data collection, to a spatially explicit decomposition of the variance in home range size into components due to variation in temporal, spatial, and individual-level processes. Second, we compare mathematical models of home range behavior, showing that most actually fail to accommodate real animal movement data. This is caused by an emphasis on the entropy present in movement data while ignoring its higher order properties. Traditionally, animal movement has been modeled as an essentially random process, with added structure created by dependence on previously visited locations or attraction to particular habitats. We demonstrate, however, that these models predict that an animal's range will expand continually, which is contrary to home range behavior. The size of home ranges is often extremely small relative to the velocity of the animal. None of the existing modeling approaches predict the formation of stationary home ranges as an emergent property of animal movement paths. We propose possible solutions and conclude that a unified view of the progress in both areas represents an exciting opportunity for future field-based and theoretical studies.</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="206594"><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="206594"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 206594; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=206594]").text(description); $(".js-view-count[data-work-id=206594]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 206594; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='206594']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 206594, 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" } } $('.js-work-strip[data-work-id=206594]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":206594,"title":"Quantifying the difference between animal movements and Brownian motion: Why do we still fail?","translated_title":"","metadata":{"abstract":"Despite considerable research we still lack a satisfactory conceptual model of animal movement behavior. 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