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href="https://ualg.academia.edu/">Universidade do Algarve</a>, <a class="u-tcGrayDarker" href="https://ualg.academia.edu/Departments/CCMAR_Centre_of_Marine_Sciences/Documents">CCMAR, Centre of Marine Sciences</a>, <span class="u-tcGrayDarker">Post-Doc</span></div><div><a class="u-tcGrayDarker" href="https://uevora.academia.edu/">Universidade de Évora</a>, <a class="u-tcGrayDarker" href="https://uevora.academia.edu/Departments/CIBIO_%C3%89vora/Documents">CIBIO - Évora</a>, <span class="u-tcGrayDarker">PhD</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" data-click-track="profile-user-info-follow-button" data-follow-user-fname="Frederico" data-follow-user-id="4424438" data-follow-user-source="profile_button" data-has-google="false"><span class="material-symbols-outlined" style="font-size: 20px" 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href="https://www.academia.edu/124243880/Climate_change_is_expected_to_severely_impact_Protected_Designation_of_Origin_olive_growing_regions_over_the_Iberian_Peninsula"><img alt="Research paper thumbnail of Climate change is expected to severely impact Protected Designation of Origin olive growing regions over the Iberian Peninsula" 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/124243880/Climate_change_is_expected_to_severely_impact_Protected_Designation_of_Origin_olive_growing_regions_over_the_Iberian_Peninsula">Climate change is expected to severely impact Protected Designation of Origin olive growing regions over the Iberian Peninsula</a></div><div class="wp-workCard_item"><span>Figshare</span><span>, 2023</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="124243880"><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="124243880"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124243880; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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href="https://www.academia.edu/121994016/Human_disturbances_affect_the_topology_of_food_webs"><img alt="Research paper thumbnail of Human disturbances affect the topology of food webs" 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/121994016/Human_disturbances_affect_the_topology_of_food_webs">Human disturbances affect the topology of food webs</a></div><div class="wp-workCard_item"><span>Ecology Letters</span><span>, Sep 27, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Networks describe nodes connected by links, with numbers of links per node, the degree, forming a...</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">Networks describe nodes connected by links, with numbers of links per node, the degree, forming a range of distributions including random and scale‐free. 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Should the topology of food webs respond to changes in the magnitude of disturbances in a predictable fashion, consistently across ecosystems and scales of organisation, it would provide a baseline expectation to understand and predict the consequences of human pressures on ecosystem dynamics.</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="121994016"><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="121994016"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121994016; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121994016]").text(description); $(".js-view-count[data-work-id=121994016]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121994016; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121994016']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 121994016, 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" } } $('.js-work-strip[data-work-id=121994016]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121994016,"title":"Human disturbances affect the topology of food webs","translated_title":"","metadata":{"abstract":"Networks describe nodes connected by links, with numbers of links per node, the degree, forming a range of distributions including random and scale‐free. 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This overall pattern is primarily associated to habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished geo-referenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of Azores and Madeira that includes 107,852 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (42%), sign surveys (38%), camera trapping (16%), bioacoustics surveys (4%) and radio-tracking and inquiries that represent less than 1% of the records. The data set includes 13 types of records: 1) burrows | soil mounds | tunnel, 2) capture, 3) colony, 4) dead animal | hair | skulls | jaws, 5) genetic confirmation, 6) inquiries, 7) observation of live animal, 8), observation in shelters, 9) photo trapping | video, 10), predators diet | pellets | pine cones/nuts, 11) scat | track | ditch, 12) telemetry and 13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n = 34,754) has the highest number of records followed by Chiroptera (n = 18,858), Carnivora (n = 18,594), Lagomorpha (n = 17,679), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 6400). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus (n = 12,407), Monachus monachus (n = 1512), and Lynx pardinus (n = 197)]. We believe that this data set may stimulate the publication of other European countries data sets which would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications.</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="96070086"><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="96070086"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96070086; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96070086]").text(description); $(".js-view-count[data-work-id=96070086]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96070086; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96070086']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96070086, 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" } } $('.js-work-strip[data-work-id=96070086]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96070086,"title":"MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal","translated_title":"","metadata":{"abstract":"Mammals are threatened worldwide, with ca. 26% of all species being included in the IUCN threatened categories. 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The data set includes 13 types of records: 1) burrows | soil mounds | tunnel, 2) capture, 3) colony, 4) dead animal | hair | skulls | jaws, 5) genetic confirmation, 6) inquiries, 7) observation of live animal, 8), observation in shelters, 9) photo trapping | video, 10), predators diet | pellets | pine cones/nuts, 11) scat | track | ditch, 12) telemetry and 13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n = 34,754) has the highest number of records followed by Chiroptera (n = 18,858), Carnivora (n = 18,594), Lagomorpha (n = 17,679), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 6400). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus (n = 12,407), Monachus monachus (n = 1512), and Lynx pardinus (n = 197)]. We believe that this data set may stimulate the publication of other European countries data sets which would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications.","publisher":"Wiley","publication_date":{"day":null,"month":null,"year":2022,"errors":{}},"publication_name":"Ecology"},"translated_abstract":"Mammals are threatened worldwide, with ca. 26% of all species being included in the IUCN threatened categories. This overall pattern is primarily associated to habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished geo-referenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of Azores and Madeira that includes 107,852 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (42%), sign surveys (38%), camera trapping (16%), bioacoustics surveys (4%) and radio-tracking and inquiries that represent less than 1% of the records. The data set includes 13 types of records: 1) burrows | soil mounds | tunnel, 2) capture, 3) colony, 4) dead animal | hair | skulls | jaws, 5) genetic confirmation, 6) inquiries, 7) observation of live animal, 8), observation in shelters, 9) photo trapping | video, 10), predators diet | pellets | pine cones/nuts, 11) scat | track | ditch, 12) telemetry and 13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n = 34,754) has the highest number of records followed by Chiroptera (n = 18,858), Carnivora (n = 18,594), Lagomorpha (n = 17,679), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 6400). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus (n = 12,407), Monachus monachus (n = 1512), and Lynx pardinus (n = 197)]. We believe that this data set may stimulate the publication of other European countries data sets which would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. 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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="86632813"><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/86632813/Mod%C3%A9lisation_de_la_distribution_du_Putois_Mustela_putorius_dans_un_paysage_agricole_m%C3%A9diterran%C3%A9en"><img alt="Research paper thumbnail of Modélisation de la distribution du Putois Mustela putorius dans un paysage agricole méditerranéen" class="work-thumbnail" src="https://attachments.academia-assets.com/91039603/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/86632813/Mod%C3%A9lisation_de_la_distribution_du_Putois_Mustela_putorius_dans_un_paysage_agricole_m%C3%A9diterran%C3%A9en">Modélisation de la distribution du Putois Mustela putorius dans un paysage agricole méditerranéen</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The aims of the present work are 1) to evaluate the distribution of the Polecat (Mustela putorius...</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 aims of the present work are 1) to evaluate the distribution of the Polecat (Mustela putorius) in an area of Southern Portugal, identifying the major environmental descriptors upon which it depends; and 2) to compare the results of two different approaches to model species distribution. Two methods were used; one utilizing presence/absence data in a logistic regression (LR) model, and the other using presence-only data by means of ecological niche factor analysis (ENFA). The results clearly show that, as in other parts of Europe, the Polecat’s presence in Portugal is closely connected to humid habitats and dense vegetation cover. Overall, the environmental descriptors that most infl uence Polecat distribution are main water course length, the number of scrubland patches, the Shannon Wiener landscape diversity index and the number of water surface patches. The two methods we used generated significant differences in their predictions. 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Landscape De-Fragmentation" 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/86632812/gDefrag_Graph_Based_Landscape_De_Fragmentation">gDefrag: Graph-Based Landscape De-Fragmentation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This package provides a set of tools to help the ecological de-fragmentation of landscapes divide...</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 package provides a set of tools to help the ecological 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Garrido-García, Ricardo Pita, António Mira, Paulo C. Alves, Joana Paupério, Jeremy B. 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Garrido-García, Ricardo Pita, António Mira, Paulo C. Alves, Joana Paupério, Jeremy B. 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Whether and how interactions vary over environmental gradients is still largely unknown. We reviewed the literature searching for systematic relationships between structural food-web properties and environmental gradients. Temperature and biotic factors are amongst the most addressed drivers in determining structural food web properties. Most studies are local, replication is often lacking, and regional generalities are difficult to derive. The lack of a consistent theory predicting how food webs change across environmental gradients, the diversity of objectives in food-web studies, and the absence of a standardized methodology for studying them severely limit progress in the field. Moving forward requires the establishment of a core set of testable predictions, agreed standards for data collection and analysis, and the development of geographically distributed exp...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8907cd2fb4802a03af2a2bd6be46c8ae" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":91039894,"asset_id":86632808,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/91039894/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&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="86632808"><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="86632808"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 86632808; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=86632808]").text(description); $(".js-view-count[data-work-id=86632808]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 86632808; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='86632808']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 86632808, 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: "8907cd2fb4802a03af2a2bd6be46c8ae" } } $('.js-work-strip[data-work-id=86632808]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":86632808,"title":"Disentangling food-web environment relationships: a review with guidelines","translated_title":"","metadata":{"abstract":"Food webs represent energy fluxes and nutrient cycling between interacting species, underpinning ecosystem functioning. 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Moving forward requires the establishment of a core set of testable predictions, agreed standards for data collection and analysis, and the development of geographically distributed exp...","publisher":"Center for Open Science","ai_title_tag":"Food-Web Properties and Environmental Gradients: A Review","publication_date":{"day":null,"month":null,"year":2021,"errors":{}}},"translated_abstract":"Food webs represent energy fluxes and nutrient cycling between interacting species, underpinning ecosystem functioning. Whether and how interactions vary over environmental gradients is still largely unknown. We reviewed the literature searching for systematic relationships between structural food-web properties and environmental gradients. Temperature and biotic factors are amongst the most addressed drivers in determining structural food web properties. Most studies are local, replication is often lacking, and regional generalities are difficult to derive. The lack of a consistent theory predicting how food webs change across environmental gradients, the diversity of objectives in food-web studies, and the absence of a standardized methodology for studying them severely limit progress in the field. Moving forward requires the establishment of a core set of testable predictions, agreed standards for data collection and analysis, and the development of geographically distributed exp...","internal_url":"https://www.academia.edu/86632808/Disentangling_food_web_environment_relationships_a_review_with_guidelines","translated_internal_url":"","created_at":"2022-09-14T03:36:56.590-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":4424438,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":91039894,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/91039894/thumbnails/1.jpg","file_name":"60c36af5f3ce94027b24b526.pdf","download_url":"https://www.academia.edu/attachments/91039894/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Disentangling_food_web_environment_relat.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/91039894/60c36af5f3ce94027b24b526-libre.pdf?1663153020=\u0026response-content-disposition=attachment%3B+filename%3DDisentangling_food_web_environment_relat.pdf\u0026Expires=1732784734\u0026Signature=fmZJlyO2wd-4iRigWWxWkxhBWuNeua6Z0q95fEq4A-DgwZeYvXXSMu7jvTO9bWCgbEp07UsUAek0ae8~YZPatvFLMN2On6R1qKu4z7BPffBlGD0U-B9d17HeGiNAXWTvGXI2U9DwdelmUC7IKxZyi8kCyVKf3xPW~koUHAKynJFRN9sQWQwJkW~XKDo2-yQbO0cCi088R24Cbpr4mbIjKtOe1myGeaa-Pcupgb-eGVOSPzUii5KhAIyIhMvR25aFDKjaWKo7DYodm1DG~2RMdYdzTrf~rPPIZJtjaD1F~Wg9yDjEMoT-oJt0BVELWKyPmq6-YTxIxaQ7gDys5iRZGw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Disentangling_food_web_environment_relationships_a_review_with_guidelines","translated_slug":"","page_count":33,"language":"en","content_type":"Work","owner":{"id":4424438,"first_name":"Frederico","middle_initials":null,"last_name":"Mestre","page_name":"FredericoMestre","domain_name":"ualg","created_at":"2013-06-03T18:58:49.594-07:00","display_name":"Frederico Mestre","url":"https://ualg.academia.edu/FredericoMestre"},"attachments":[{"id":91039894,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/91039894/thumbnails/1.jpg","file_name":"60c36af5f3ce94027b24b526.pdf","download_url":"https://www.academia.edu/attachments/91039894/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Disentangling_food_web_environment_relat.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/91039894/60c36af5f3ce94027b24b526-libre.pdf?1663153020=\u0026response-content-disposition=attachment%3B+filename%3DDisentangling_food_web_environment_relat.pdf\u0026Expires=1732784734\u0026Signature=fmZJlyO2wd-4iRigWWxWkxhBWuNeua6Z0q95fEq4A-DgwZeYvXXSMu7jvTO9bWCgbEp07UsUAek0ae8~YZPatvFLMN2On6R1qKu4z7BPffBlGD0U-B9d17HeGiNAXWTvGXI2U9DwdelmUC7IKxZyi8kCyVKf3xPW~koUHAKynJFRN9sQWQwJkW~XKDo2-yQbO0cCi088R24Cbpr4mbIjKtOe1myGeaa-Pcupgb-eGVOSPzUii5KhAIyIhMvR25aFDKjaWKo7DYodm1DG~2RMdYdzTrf~rPPIZJtjaD1F~Wg9yDjEMoT-oJt0BVELWKyPmq6-YTxIxaQ7gDys5iRZGw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"}],"urls":[]}, 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="86632807"><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/86632807/Dataset_and_code_for_the_paper_Human_disturbances_affect_the_topology_of_food_webs"><img alt="Research paper thumbnail of Dataset and code for the paper "Human disturbances affect the topology of food webs" 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/86632807/Dataset_and_code_for_the_paper_Human_disturbances_affect_the_topology_of_food_webs">Dataset and code for the paper "Human disturbances affect the topology of food webs</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Here we provide the code and datasets for the manuscripts &quot;Human disturbances affect the top...</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">Here we provide the code and datasets for the manuscripts &quot;Human disturbances affect the topology of food webs&quot;. Food web matrices were retrieved from online repositories (Ecobase and Globalweb) using the code in <a href="https://github.com/FMestre1/fw_package.&lt;br&gt;Data" rel="nofollow">https://github.com/FMestre1/fw_package.&lt;br&gt;Data</a> set and Matlab code:&lt;br&gt;FW.m - code to plot the data.catFW.m - code to categorize the food webs.dbaseIndexes.mat - database with the food web information.FWinfo_Real.mat - list of food web interaction matrices.&lt;br&gt;RData versions of the dataset:&lt;br&gt;FW_database_25AJAN2021.RData - database with the food web information.matrix_list_25AJAN2021.RData - list of food web interaction matrices.</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="86632807"><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="86632807"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 86632807; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=86632807]").text(description); $(".js-view-count[data-work-id=86632807]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 86632807; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='86632807']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 86632807, 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" } } $('.js-work-strip[data-work-id=86632807]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":86632807,"title":"Dataset and code for the paper \"Human disturbances affect the topology of food webs","translated_title":"","metadata":{"abstract":"Here we provide the code and datasets for the manuscripts \u0026quot;Human disturbances affect the topology of food webs\u0026quot;. Food web matrices were retrieved from online repositories (Ecobase and Globalweb) using the code in https://github.com/FMestre1/fw_package.\u0026lt;br\u0026gt;Data set and Matlab code:\u0026lt;br\u0026gt;FW.m - code to plot the data.catFW.m - code to categorize the food webs.dbaseIndexes.mat - database with the food web information.FWinfo_Real.mat - list of food web interaction matrices.\u0026lt;br\u0026gt;RData versions of the dataset:\u0026lt;br\u0026gt;FW_database_25AJAN2021.RData - database with the food web information.matrix_list_25AJAN2021.RData - list of food web interaction matrices.","publisher":"figshare","publication_date":{"day":30,"month":4,"year":2021,"errors":{}}},"translated_abstract":"Here we provide the code and datasets for the manuscripts \u0026quot;Human disturbances affect the topology of food webs\u0026quot;. Food web matrices were retrieved from online repositories (Ecobase and Globalweb) using the code in https://github.com/FMestre1/fw_package.\u0026lt;br\u0026gt;Data set and Matlab code:\u0026lt;br\u0026gt;FW.m - code to plot the data.catFW.m - code to categorize the food webs.dbaseIndexes.mat - database with the food web information.FWinfo_Real.mat - list of food web interaction matrices.\u0026lt;br\u0026gt;RData versions of the dataset:\u0026lt;br\u0026gt;FW_database_25AJAN2021.RData - database with the food web information.matrix_list_25AJAN2021.RData - list of food web interaction matrices.","internal_url":"https://www.academia.edu/86632807/Dataset_and_code_for_the_paper_Human_disturbances_affect_the_topology_of_food_webs","translated_internal_url":"","created_at":"2022-09-14T03:36:56.454-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":4424438,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Dataset_and_code_for_the_paper_Human_disturbances_affect_the_topology_of_food_webs","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":4424438,"first_name":"Frederico","middle_initials":null,"last_name":"Mestre","page_name":"FredericoMestre","domain_name":"ualg","created_at":"2013-06-03T18:58:49.594-07:00","display_name":"Frederico Mestre","url":"https://ualg.academia.edu/FredericoMestre"},"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="86632806"><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/86632806/Code_for_the_paper_Integrating_fossil_niche_modelling_and_genetic_information_to_infer_past_refugia_and_range_shifts_in_an_Iberian_endemic_vole"><img alt="Research paper thumbnail of Code for the paper "Integrating fossil, niche modelling and genetic information to infer past refugia and range shifts in an Iberian endemic vole" 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/86632806/Code_for_the_paper_Integrating_fossil_niche_modelling_and_genetic_information_to_infer_past_refugia_and_range_shifts_in_an_Iberian_endemic_vole">Code for the paper "Integrating fossil, niche modelling and genetic information to infer past refugia and range shifts in an Iberian endemic vole</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">R code for the manuscript &quot;&lt;b&gt;Integrating fossil, niche modelling and genetic informat...</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">R code for the manuscript &quot;&lt;b&gt;Integrating fossil, niche modelling and genetic information to infer past refugia and range shifts in an Iberian endemic vole&lt;/b&gt;&quot;&lt;br&gt;by:&lt;br&gt;Frederico Mestre, Soraia Barbosa, José A. Garrido-García, Ricardo Pita, António Mira, Paulo C. Alves, Joana Paupério, Jeremy B. Searle and Pedro Beja&lt;br&gt;&lt;b&gt;ENM.r&lt;/b&gt; - R code for the Ecological Niche Modelling.&lt;br&gt;&lt;b&gt;rangeExpansion.r&lt;/b&gt; - R code used for the range expansion analyses.&lt;br&gt;&lt;br&gt;&lt;b&gt;MC_coords_107samples_OG.csv&lt;/b&gt; - Coordinate file for 107 107 Microtus cabrerae and one Microtus agrestis sample, with lat/long, information regarding the four Evolutionarily Significant Units (ESUs) for M. cabrerae (region), population ID (pop) and if the sample was used as outgroup (outgroup).&lt;br&gt;&lt;b&gt;MC_GBS_107samples_OG.csv&lt;/b&gt; - Genotyping-by-sequencing results for 107 Microtus cabrerae and one Microtus agrestis...</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="86632806"><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="86632806"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 86632806; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=86632806]").text(description); $(".js-view-count[data-work-id=86632806]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 86632806; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='86632806']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 86632806, 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" } } $('.js-work-strip[data-work-id=86632806]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":86632806,"title":"Code for the paper \"Integrating fossil, niche modelling and genetic information to infer past refugia and range shifts in an Iberian endemic vole","translated_title":"","metadata":{"abstract":"R code for the manuscript \u0026quot;\u0026lt;b\u0026gt;Integrating fossil, niche modelling and genetic information to infer past refugia and range shifts in an Iberian endemic vole\u0026lt;/b\u0026gt;\u0026quot;\u0026lt;br\u0026gt;by:\u0026lt;br\u0026gt;Frederico Mestre, Soraia Barbosa, José A. Garrido-García, Ricardo Pita, António Mira, Paulo C. Alves, Joana Paupério, Jeremy B. Searle and Pedro Beja\u0026lt;br\u0026gt;\u0026lt;b\u0026gt;ENM.r\u0026lt;/b\u0026gt; - R code for the Ecological Niche Modelling.\u0026lt;br\u0026gt;\u0026lt;b\u0026gt;rangeExpansion.r\u0026lt;/b\u0026gt; - R code used for the range expansion analyses.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;b\u0026gt;MC_coords_107samples_OG.csv\u0026lt;/b\u0026gt; - Coordinate file for 107 107 Microtus cabrerae and one Microtus agrestis sample, with lat/long, information regarding the four Evolutionarily Significant Units (ESUs) for M. cabrerae (region), population ID (pop) and if the sample was used as outgroup (outgroup).\u0026lt;br\u0026gt;\u0026lt;b\u0026gt;MC_GBS_107samples_OG.csv\u0026lt;/b\u0026gt; - Genotyping-by-sequencing results for 107 Microtus cabrerae and one Microtus agrestis...","publisher":"figshare","publication_date":{"day":3,"month":5,"year":2021,"errors":{}}},"translated_abstract":"R code for the manuscript \u0026quot;\u0026lt;b\u0026gt;Integrating fossil, niche modelling and genetic information to infer past refugia and range shifts in an Iberian endemic vole\u0026lt;/b\u0026gt;\u0026quot;\u0026lt;br\u0026gt;by:\u0026lt;br\u0026gt;Frederico Mestre, Soraia Barbosa, José A. 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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="121994016"><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/121994016/Human_disturbances_affect_the_topology_of_food_webs"><img alt="Research paper thumbnail of Human disturbances affect the topology of food webs" 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/121994016/Human_disturbances_affect_the_topology_of_food_webs">Human disturbances affect the topology of food webs</a></div><div class="wp-workCard_item"><span>Ecology Letters</span><span>, Sep 27, 2022</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Networks describe nodes connected by links, with numbers of links per node, the degree, forming a...</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">Networks describe nodes connected by links, with numbers of links per node, the degree, forming a range of distributions including random and scale‐free. How network topologies emerge in natural systems still puzzles scientists. Based on previous theoretical simulations, we predict that scale‐free food webs are favourably selected by random disturbances while random food webs are selected by targeted disturbances. We assume that lower human pressures are more likely associated with random disturbances, whereas higher pressures are associated with targeted ones. We examine these predictions using 351 empirical food webs, generally confirming our predictions. Should the topology of food webs respond to changes in the magnitude of disturbances in a predictable fashion, consistently across ecosystems and scales of organisation, it would provide a baseline expectation to understand and predict the consequences of human pressures on ecosystem dynamics.</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="121994016"><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="121994016"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 121994016; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=121994016]").text(description); $(".js-view-count[data-work-id=121994016]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 121994016; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='121994016']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 121994016, 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" } } $('.js-work-strip[data-work-id=121994016]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":121994016,"title":"Human disturbances affect the topology of food webs","translated_title":"","metadata":{"abstract":"Networks describe nodes connected by links, with numbers of links per node, the degree, forming a range of distributions including random and scale‐free. 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This overall pattern is primarily associated to habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished geo-referenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of Azores and Madeira that includes 107,852 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (42%), sign surveys (38%), camera trapping (16%), bioacoustics surveys (4%) and radio-tracking and inquiries that represent less than 1% of the records. The data set includes 13 types of records: 1) burrows | soil mounds | tunnel, 2) capture, 3) colony, 4) dead animal | hair | skulls | jaws, 5) genetic confirmation, 6) inquiries, 7) observation of live animal, 8), observation in shelters, 9) photo trapping | video, 10), predators diet | pellets | pine cones/nuts, 11) scat | track | ditch, 12) telemetry and 13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n = 34,754) has the highest number of records followed by Chiroptera (n = 18,858), Carnivora (n = 18,594), Lagomorpha (n = 17,679), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 6400). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus (n = 12,407), Monachus monachus (n = 1512), and Lynx pardinus (n = 197)]. We believe that this data set may stimulate the publication of other European countries data sets which would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications.</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="96070086"><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="96070086"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 96070086; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=96070086]").text(description); $(".js-view-count[data-work-id=96070086]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 96070086; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='96070086']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 96070086, 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" } } $('.js-work-strip[data-work-id=96070086]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":96070086,"title":"MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal","translated_title":"","metadata":{"abstract":"Mammals are threatened worldwide, with ca. 26% of all species being included in the IUCN threatened categories. 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and 2) to compare the results of two different approaches to model species distribution. Two methods were used; one utilizing presence/absence data in a logistic regression (LR) model, and the other using presence-only data by means of ecological niche factor analysis (ENFA). The results clearly show that, as in other parts of Europe, the Polecat’s presence in Portugal is closely connected to humid habitats and dense vegetation cover. Overall, the environmental descriptors that most infl uence Polecat distribution are main water course length, the number of scrubland patches, the Shannon Wiener landscape diversity index and the number of water surface patches. The two methods we used generated significant differences in their predictions. LR predicts a broader area for the presence o...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b13cbd64513780146c435c7527279d13" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":91039603,"asset_id":86632813,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/91039603/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&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="86632813"><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="86632813"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 86632813; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=86632813]").text(description); $(".js-view-count[data-work-id=86632813]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 86632813; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='86632813']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 86632813, 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: "b13cbd64513780146c435c7527279d13" } } $('.js-work-strip[data-work-id=86632813]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":86632813,"title":"Modélisation de la distribution du Putois Mustela putorius dans un paysage agricole méditerranéen","translated_title":"","metadata":{"abstract":"The aims of the present work are 1) to evaluate the distribution of the Polecat (Mustela putorius) in an area of Southern Portugal, identifying the major environmental descriptors upon which it depends; and 2) to compare the results of two different approaches to model species distribution. 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Landscape De-Fragmentation" 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/86632812/gDefrag_Graph_Based_Landscape_De_Fragmentation">gDefrag: Graph-Based Landscape De-Fragmentation</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This package provides a set of tools to help the ecological de-fragmentation of landscapes divide...</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 package provides a set of tools to help the ecological 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Garrido-García, Ricardo Pita, António Mira, Paulo C. Alves, Joana Paupério, Jeremy B. 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Whether and how interactions vary over environmental gradients is still largely unknown. We reviewed the literature searching for systematic relationships between structural food-web properties and environmental gradients. Temperature and biotic factors are amongst the most addressed drivers in determining structural food web properties. Most studies are local, replication is often lacking, and regional generalities are difficult to derive. The lack of a consistent theory predicting how food webs change across environmental gradients, the diversity of objectives in food-web studies, and the absence of a standardized methodology for studying them severely limit progress in the field. Moving forward requires the establishment of a core set of testable predictions, agreed standards for data collection and analysis, and the development of geographically distributed exp...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8907cd2fb4802a03af2a2bd6be46c8ae" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":91039894,"asset_id":86632808,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/91039894/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&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="86632808"><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="86632808"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 86632808; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=86632808]").text(description); $(".js-view-count[data-work-id=86632808]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 86632808; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='86632808']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 86632808, 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: "8907cd2fb4802a03af2a2bd6be46c8ae" } } $('.js-work-strip[data-work-id=86632808]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":86632808,"title":"Disentangling food-web environment relationships: a review with guidelines","translated_title":"","metadata":{"abstract":"Food webs represent energy fluxes and nutrient cycling between interacting species, underpinning ecosystem functioning. 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Moving forward requires the establishment of a core set of testable predictions, agreed standards for data collection and analysis, and the development of geographically distributed exp...","publisher":"Center for Open Science","ai_title_tag":"Food-Web Properties and Environmental Gradients: A Review","publication_date":{"day":null,"month":null,"year":2021,"errors":{}}},"translated_abstract":"Food webs represent energy fluxes and nutrient cycling between interacting species, underpinning ecosystem functioning. Whether and how interactions vary over environmental gradients is still largely unknown. We reviewed the literature searching for systematic relationships between structural food-web properties and environmental gradients. Temperature and biotic factors are amongst the most addressed drivers in determining structural food web properties. Most studies are local, replication is often lacking, and regional generalities are difficult to derive. The lack of a consistent theory predicting how food webs change across environmental gradients, the diversity of objectives in food-web studies, and the absence of a standardized methodology for studying them severely limit progress in the field. Moving forward requires the establishment of a core set of testable predictions, agreed standards for data collection and analysis, and the development of geographically distributed exp...","internal_url":"https://www.academia.edu/86632808/Disentangling_food_web_environment_relationships_a_review_with_guidelines","translated_internal_url":"","created_at":"2022-09-14T03:36:56.590-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":4424438,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":91039894,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/91039894/thumbnails/1.jpg","file_name":"60c36af5f3ce94027b24b526.pdf","download_url":"https://www.academia.edu/attachments/91039894/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Disentangling_food_web_environment_relat.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/91039894/60c36af5f3ce94027b24b526-libre.pdf?1663153020=\u0026response-content-disposition=attachment%3B+filename%3DDisentangling_food_web_environment_relat.pdf\u0026Expires=1732784734\u0026Signature=fmZJlyO2wd-4iRigWWxWkxhBWuNeua6Z0q95fEq4A-DgwZeYvXXSMu7jvTO9bWCgbEp07UsUAek0ae8~YZPatvFLMN2On6R1qKu4z7BPffBlGD0U-B9d17HeGiNAXWTvGXI2U9DwdelmUC7IKxZyi8kCyVKf3xPW~koUHAKynJFRN9sQWQwJkW~XKDo2-yQbO0cCi088R24Cbpr4mbIjKtOe1myGeaa-Pcupgb-eGVOSPzUii5KhAIyIhMvR25aFDKjaWKo7DYodm1DG~2RMdYdzTrf~rPPIZJtjaD1F~Wg9yDjEMoT-oJt0BVELWKyPmq6-YTxIxaQ7gDys5iRZGw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Disentangling_food_web_environment_relationships_a_review_with_guidelines","translated_slug":"","page_count":33,"language":"en","content_type":"Work","owner":{"id":4424438,"first_name":"Frederico","middle_initials":null,"last_name":"Mestre","page_name":"FredericoMestre","domain_name":"ualg","created_at":"2013-06-03T18:58:49.594-07:00","display_name":"Frederico Mestre","url":"https://ualg.academia.edu/FredericoMestre"},"attachments":[{"id":91039894,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/91039894/thumbnails/1.jpg","file_name":"60c36af5f3ce94027b24b526.pdf","download_url":"https://www.academia.edu/attachments/91039894/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Disentangling_food_web_environment_relat.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/91039894/60c36af5f3ce94027b24b526-libre.pdf?1663153020=\u0026response-content-disposition=attachment%3B+filename%3DDisentangling_food_web_environment_relat.pdf\u0026Expires=1732784734\u0026Signature=fmZJlyO2wd-4iRigWWxWkxhBWuNeua6Z0q95fEq4A-DgwZeYvXXSMu7jvTO9bWCgbEp07UsUAek0ae8~YZPatvFLMN2On6R1qKu4z7BPffBlGD0U-B9d17HeGiNAXWTvGXI2U9DwdelmUC7IKxZyi8kCyVKf3xPW~koUHAKynJFRN9sQWQwJkW~XKDo2-yQbO0cCi088R24Cbpr4mbIjKtOe1myGeaa-Pcupgb-eGVOSPzUii5KhAIyIhMvR25aFDKjaWKo7DYodm1DG~2RMdYdzTrf~rPPIZJtjaD1F~Wg9yDjEMoT-oJt0BVELWKyPmq6-YTxIxaQ7gDys5iRZGw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":47884,"name":"Biological Sciences","url":"https://www.academia.edu/Documents/in/Biological_Sciences"},{"id":58054,"name":"Environmental Sciences","url":"https://www.academia.edu/Documents/in/Environmental_Sciences"}],"urls":[]}, 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="86632807"><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/86632807/Dataset_and_code_for_the_paper_Human_disturbances_affect_the_topology_of_food_webs"><img alt="Research paper thumbnail of Dataset and code for the paper "Human disturbances affect the topology of food webs" 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/86632807/Dataset_and_code_for_the_paper_Human_disturbances_affect_the_topology_of_food_webs">Dataset and code for the paper "Human disturbances affect the topology of food webs</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Here we provide the code and datasets for the manuscripts &quot;Human disturbances affect the top...</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">Here we provide the code and datasets for the manuscripts &quot;Human disturbances affect the topology of food webs&quot;. Food web matrices were retrieved from online repositories (Ecobase and Globalweb) using the code in <a href="https://github.com/FMestre1/fw_package.&lt;br&gt;Data" rel="nofollow">https://github.com/FMestre1/fw_package.&lt;br&gt;Data</a> set and Matlab code:&lt;br&gt;FW.m - code to plot the data.catFW.m - code to categorize the food webs.dbaseIndexes.mat - database with the food web information.FWinfo_Real.mat - list of food web interaction matrices.&lt;br&gt;RData versions of the dataset:&lt;br&gt;FW_database_25AJAN2021.RData - database with the food web information.matrix_list_25AJAN2021.RData - list of food web interaction matrices.</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="86632807"><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="86632807"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 86632807; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=86632807]").text(description); $(".js-view-count[data-work-id=86632807]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 86632807; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='86632807']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 86632807, 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" } } $('.js-work-strip[data-work-id=86632807]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":86632807,"title":"Dataset and code for the paper \"Human disturbances affect the topology of food webs","translated_title":"","metadata":{"abstract":"Here we provide the code and datasets for the manuscripts \u0026quot;Human disturbances affect the topology of food webs\u0026quot;. 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Food web matrices were retrieved from online repositories (Ecobase and Globalweb) using the code in https://github.com/FMestre1/fw_package.\u0026lt;br\u0026gt;Data set and Matlab code:\u0026lt;br\u0026gt;FW.m - code to plot the data.catFW.m - code to categorize the food webs.dbaseIndexes.mat - database with the food web information.FWinfo_Real.mat - list of food web interaction matrices.\u0026lt;br\u0026gt;RData versions of the dataset:\u0026lt;br\u0026gt;FW_database_25AJAN2021.RData - database with the food web information.matrix_list_25AJAN2021.RData - list of food web interaction matrices.","internal_url":"https://www.academia.edu/86632807/Dataset_and_code_for_the_paper_Human_disturbances_affect_the_topology_of_food_webs","translated_internal_url":"","created_at":"2022-09-14T03:36:56.454-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":4424438,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Dataset_and_code_for_the_paper_Human_disturbances_affect_the_topology_of_food_webs","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":4424438,"first_name":"Frederico","middle_initials":null,"last_name":"Mestre","page_name":"FredericoMestre","domain_name":"ualg","created_at":"2013-06-03T18:58:49.594-07:00","display_name":"Frederico Mestre","url":"https://ualg.academia.edu/FredericoMestre"},"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="86632806"><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/86632806/Code_for_the_paper_Integrating_fossil_niche_modelling_and_genetic_information_to_infer_past_refugia_and_range_shifts_in_an_Iberian_endemic_vole"><img alt="Research paper thumbnail of Code for the paper "Integrating fossil, niche modelling and genetic information to infer past refugia and range shifts in an Iberian endemic vole" 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/86632806/Code_for_the_paper_Integrating_fossil_niche_modelling_and_genetic_information_to_infer_past_refugia_and_range_shifts_in_an_Iberian_endemic_vole">Code for the paper "Integrating fossil, niche modelling and genetic information to infer past refugia and range shifts in an Iberian endemic vole</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">R code for the manuscript &quot;&lt;b&gt;Integrating fossil, niche modelling and genetic informat...</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">R code for the manuscript &quot;&lt;b&gt;Integrating fossil, niche modelling and genetic information to infer past refugia and range shifts in an Iberian endemic vole&lt;/b&gt;&quot;&lt;br&gt;by:&lt;br&gt;Frederico Mestre, Soraia Barbosa, José A. Garrido-García, Ricardo Pita, António Mira, Paulo C. Alves, Joana Paupério, Jeremy B. Searle and Pedro Beja&lt;br&gt;&lt;b&gt;ENM.r&lt;/b&gt; - R code for the Ecological Niche Modelling.&lt;br&gt;&lt;b&gt;rangeExpansion.r&lt;/b&gt; - R code used for the range expansion analyses.&lt;br&gt;&lt;br&gt;&lt;b&gt;MC_coords_107samples_OG.csv&lt;/b&gt; - Coordinate file for 107 107 Microtus cabrerae and one Microtus agrestis sample, with lat/long, information regarding the four Evolutionarily Significant Units (ESUs) for M. cabrerae (region), population ID (pop) and if the sample was used as outgroup (outgroup).&lt;br&gt;&lt;b&gt;MC_GBS_107samples_OG.csv&lt;/b&gt; - Genotyping-by-sequencing results for 107 Microtus cabrerae and one Microtus agrestis...</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="86632806"><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="86632806"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 86632806; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=86632806]").text(description); $(".js-view-count[data-work-id=86632806]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 86632806; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='86632806']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 86632806, 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" } } $('.js-work-strip[data-work-id=86632806]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":86632806,"title":"Code for the paper \"Integrating fossil, niche modelling and genetic information to infer past refugia and range shifts in an Iberian endemic vole","translated_title":"","metadata":{"abstract":"R code for the manuscript \u0026quot;\u0026lt;b\u0026gt;Integrating fossil, niche modelling and genetic information to infer past refugia and range shifts in an Iberian endemic vole\u0026lt;/b\u0026gt;\u0026quot;\u0026lt;br\u0026gt;by:\u0026lt;br\u0026gt;Frederico Mestre, Soraia Barbosa, José A. Garrido-García, Ricardo Pita, António Mira, Paulo C. Alves, Joana Paupério, Jeremy B. Searle and Pedro Beja\u0026lt;br\u0026gt;\u0026lt;b\u0026gt;ENM.r\u0026lt;/b\u0026gt; - R code for the Ecological Niche Modelling.\u0026lt;br\u0026gt;\u0026lt;b\u0026gt;rangeExpansion.r\u0026lt;/b\u0026gt; - R code used for the range expansion analyses.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;b\u0026gt;MC_coords_107samples_OG.csv\u0026lt;/b\u0026gt; - Coordinate file for 107 107 Microtus cabrerae and one Microtus agrestis sample, with lat/long, information regarding the four Evolutionarily Significant Units (ESUs) for M. cabrerae (region), population ID (pop) and if the sample was used as outgroup (outgroup).\u0026lt;br\u0026gt;\u0026lt;b\u0026gt;MC_GBS_107samples_OG.csv\u0026lt;/b\u0026gt; - Genotyping-by-sequencing results for 107 Microtus cabrerae and one Microtus agrestis...","publisher":"figshare","publication_date":{"day":3,"month":5,"year":2021,"errors":{}}},"translated_abstract":"R code for the manuscript \u0026quot;\u0026lt;b\u0026gt;Integrating fossil, niche modelling and genetic information to infer past refugia and range shifts in an Iberian endemic vole\u0026lt;/b\u0026gt;\u0026quot;\u0026lt;br\u0026gt;by:\u0026lt;br\u0026gt;Frederico Mestre, Soraia Barbosa, José A. Garrido-García, Ricardo Pita, António Mira, Paulo C. Alves, Joana Paupério, Jeremy B. Searle and Pedro Beja\u0026lt;br\u0026gt;\u0026lt;b\u0026gt;ENM.r\u0026lt;/b\u0026gt; - R code for the Ecological Niche Modelling.\u0026lt;br\u0026gt;\u0026lt;b\u0026gt;rangeExpansion.r\u0026lt;/b\u0026gt; - R code used for the range expansion analyses.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;b\u0026gt;MC_coords_107samples_OG.csv\u0026lt;/b\u0026gt; - Coordinate file for 107 107 Microtus cabrerae and one Microtus agrestis sample, with lat/long, information regarding the four Evolutionarily Significant Units (ESUs) for M. cabrerae (region), population ID (pop) and if the sample was used as outgroup (outgroup).\u0026lt;br\u0026gt;\u0026lt;b\u0026gt;MC_GBS_107samples_OG.csv\u0026lt;/b\u0026gt; - Genotyping-by-sequencing results for 107 Microtus cabrerae and one Microtus agrestis...","internal_url":"https://www.academia.edu/86632806/Code_for_the_paper_Integrating_fossil_niche_modelling_and_genetic_information_to_infer_past_refugia_and_range_shifts_in_an_Iberian_endemic_vole","translated_internal_url":"","created_at":"2022-09-14T03:36:56.315-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":4424438,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Code_for_the_paper_Integrating_fossil_niche_modelling_and_genetic_information_to_infer_past_refugia_and_range_shifts_in_an_Iberian_endemic_vole","translated_slug":"","page_count":null,"language":"en","content_type":"Work","owner":{"id":4424438,"first_name":"Frederico","middle_initials":null,"last_name":"Mestre","page_name":"FredericoMestre","domain_name":"ualg","created_at":"2013-06-03T18:58:49.594-07:00","display_name":"Frederico Mestre","url":"https://ualg.academia.edu/FredericoMestre"},"attachments":[],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="1887014" id="posters"><div class="js-work-strip profile--work_container" data-work-id="8483438"><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/8483438/Modelacion_de_la_distribuicion_de_tur%C3%B3n_Mustela_putorius_L_1758_en_una_paisagen_agr%C3%ADcola_mediterranea"><img alt="Research paper thumbnail of Modelacion de la distribuicion de turón (Mustela putorius L., 1758) en una paisagen agrícola mediterranea" class="work-thumbnail" src="https://attachments.academia-assets.com/34865865/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/8483438/Modelacion_de_la_distribuicion_de_tur%C3%B3n_Mustela_putorius_L_1758_en_una_paisagen_agr%C3%ADcola_mediterranea">Modelacion de la distribuicion de turón (Mustela putorius L., 1758) en una paisagen agrícola mediterranea</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">El turón es una especie extensamente distribuida a través de Europa, pero es también relativament...</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">El turón es una especie extensamente distribuida a través de Europa, pero es también relativamente desconocido cuando comparado a otros carnívoros europeos, particularmente mediterráneos (Virgós, 2003). El habitat más favorable al turón, según Lodé (1993), son los húmedales y la cubierta densa del bosque. Zabala et al (2005) estudiaron la especie en España y relacionaron su presencia con la ocurrencia de los cursos del agua y con una mayor diversidad del paisaje. La vegetación a longo de los ríos y riberas asume una importancia más alta en paisajes alterados debido a intensificación de la agricultura. Estos habitat llegaron a ser muy importantes para los carnívoros ibéricos, principalmente en áreas con una agricultura más intensa (Virgós, 2001). El turón puede utilizar estos habitats, cerca de los ríos y riberas del área de estudio. No en tanto, si pregunta: lo utilizan porque tienen alivian utilizándolo o, debido al uso intenso de la matriz del paisaje, fueron empujados a estos habitats? El objetivo de este estudio era evaluar los descriptores ambientales que influencian al turón y comparar dos métodos: Ecological Nich Factor Analisys del lugar (ENFA) (Hirzel et al., 2002a) y regresión logística (LR). La diferencia principal entre estos dos acercamientos es el hecho de que la primera utiliza datos de la presencia-solamente mientras que el segundo utiliza datos de presencia y ausencia.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="8a034f9359cbb9365210f940cc7638b1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":34865865,"asset_id":8483438,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/34865865/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&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="8483438"><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="8483438"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8483438; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8483438]").text(description); $(".js-view-count[data-work-id=8483438]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8483438; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='8483438']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 8483438, 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: "8a034f9359cbb9365210f940cc7638b1" } } $('.js-work-strip[data-work-id=8483438]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":8483438,"title":"Modelacion de la distribuicion de turón (Mustela putorius L., 1758) en una paisagen agrícola mediterranea","translated_title":"","metadata":{"abstract":"El turón es una especie extensamente distribuida a través de Europa, pero es también relativamente desconocido cuando comparado a otros carnívoros europeos, particularmente mediterráneos (Virgós, 2003). 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El objetivo de este estudio era evaluar los descriptores ambientales que influencian al turón y comparar dos métodos: Ecological Nich Factor Analisys del lugar (ENFA) (Hirzel et al., 2002a) y regresión logística (LR). La diferencia principal entre estos dos acercamientos es el hecho de que la primera utiliza datos de la presencia-solamente mientras que el segundo utiliza datos de presencia y ausencia.\r\n"},"translated_abstract":"El turón es una especie extensamente distribuida a través de Europa, pero es también relativamente desconocido cuando comparado a otros carnívoros europeos, particularmente mediterráneos (Virgós, 2003). El habitat más favorable al turón, según Lodé (1993), son los húmedales y la cubierta densa del bosque. Zabala et al (2005) estudiaron la especie en España y relacionaron su presencia con la ocurrencia de los cursos del agua y con una mayor diversidad del paisaje. La vegetación a longo de los ríos y riberas asume una importancia más alta en paisajes alterados debido a intensificación de la agricultura. Estos habitat llegaron a ser muy importantes para los carnívoros ibéricos, principalmente en áreas con una agricultura más intensa (Virgós, 2001). El turón puede utilizar estos habitats, cerca de los ríos y riberas del área de estudio. No en tanto, si pregunta: lo utilizan porque tienen alivian utilizándolo o, debido al uso intenso de la matriz del paisaje, fueron empujados a estos habitats? El objetivo de este estudio era evaluar los descriptores ambientales que influencian al turón y comparar dos métodos: Ecological Nich Factor Analisys del lugar (ENFA) (Hirzel et al., 2002a) y regresión logística (LR). 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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="8483422"><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/8483422/Deer_density_estimation_in_Mediterranean_ecosystems_using_line_transect_techniques"><img alt="Research paper thumbnail of Deer density estimation, in Mediterranean ecosystems, using line transect techniques" class="work-thumbnail" src="https://attachments.academia-assets.com/34865839/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/8483422/Deer_density_estimation_in_Mediterranean_ecosystems_using_line_transect_techniques">Deer density estimation, in Mediterranean ecosystems, using line transect techniques</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The red deer (Cervus elaphus L.) is the big game species most valuable in Portugal. However, ex...</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 red deer  (Cervus elaphus L.) is  the big game species most valuable in Portugal. However, exploitation programs of this species in game reserves are often based on scarce and  inaccurate information on deer population. Reliable estimations of deer densities are needed in order to implement profitable Game Management Programs. <br />The study was carried out in Perimetro Florestal da Contenda, a 5319 ha State Game Reserve, in Southern Portugal. The main goals were to get strong  estimations of deer density by sex, season, habitat and age class (calves/adults). This information is intended to be used in de development of Game Management Program for the area. <br />The study site is included at the National List of Sites proposed to be a part of Natura 2000 Network. It is one of the wildest areas in Portugal where some threatened species and Mediterranean habitats can still be found in a highly favourable conservation state.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a5a8df34f18141e701c2d8ddd1ef5cfe" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":34865839,"asset_id":8483422,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/34865839/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&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="8483422"><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="8483422"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8483422; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8483422]").text(description); $(".js-view-count[data-work-id=8483422]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8483422; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='8483422']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 8483422, 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: "a5a8df34f18141e701c2d8ddd1ef5cfe" } } $('.js-work-strip[data-work-id=8483422]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":8483422,"title":"Deer density estimation, in Mediterranean ecosystems, using line transect techniques","translated_title":"","metadata":{"abstract":"The red deer (Cervus elaphus L.) is the big game species most valuable in Portugal. However, exploitation programs of this species in game reserves are often based on scarce and inaccurate information on deer population. Reliable estimations of deer densities are needed in order to implement profitable Game Management Programs. \r\nThe study was carried out in Perimetro Florestal da Contenda, a 5319 ha State Game Reserve, in Southern Portugal. The main goals were to get strong estimations of deer density by sex, season, habitat and age class (calves/adults). This information is intended to be used in de development of Game Management Program for the area.\r\nThe study site is included at the National List of Sites proposed to be a part of Natura 2000 Network. It is one of the wildest areas in Portugal where some threatened species and Mediterranean habitats can still be found in a highly favourable conservation state."},"translated_abstract":"The red deer (Cervus elaphus L.) is the big game species most valuable in Portugal. However, exploitation programs of this species in game reserves are often based on scarce and inaccurate information on deer population. Reliable estimations of deer densities are needed in order to implement profitable Game Management Programs. \r\nThe study was carried out in Perimetro Florestal da Contenda, a 5319 ha State Game Reserve, in Southern Portugal. The main goals were to get strong estimations of deer density by sex, season, habitat and age class (calves/adults). This information is intended to be used in de development of Game Management Program for the area.\r\nThe study site is included at the National List of Sites proposed to be a part of Natura 2000 Network. It is one of the wildest areas in Portugal where some threatened species and Mediterranean habitats can still be found in a highly favourable conservation state.","internal_url":"https://www.academia.edu/8483422/Deer_density_estimation_in_Mediterranean_ecosystems_using_line_transect_techniques","translated_internal_url":"","created_at":"2014-09-24T20:30:43.996-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":4424438,"coauthors_can_edit":true,"document_type":"other","co_author_tags":[{"id":64113,"work_id":8483422,"tagging_user_id":4424438,"tagged_user_id":1474306,"co_author_invite_id":null,"email":"a***a@uevora.pt","affiliation":"Universidade de Évora","display_order":null,"name":"António Mira","title":"Deer density estimation, in Mediterranean ecosystems, using line transect techniques"}],"downloadable_attachments":[{"id":34865839,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/34865839/thumbnails/1.jpg","file_name":"Poster_-_Brno_2003.pdf","download_url":"https://www.academia.edu/attachments/34865839/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Deer_density_estimation_in_Mediterranean.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/34865839/Poster_-_Brno_2003-libre.pdf?1411617927=\u0026response-content-disposition=attachment%3B+filename%3DDeer_density_estimation_in_Mediterranean.pdf\u0026Expires=1732784734\u0026Signature=PFhNwJYV~akt2HCnUhVddK9H5WXeVk326cCsky6FtMtYUYOM-GJMNsu3U~BtftFBgJGJG7VZDYqy0Y65q~V7n-voCgKNvWSDggvtTQuRbDGBLj~hZ57lstl7DEvP6e3BSttwdAr8Oj62KtXRP92fc2spgk6Dba1PbtxwDkoWXulvCuaisDZbLIzrJ40qjzk4eeaR0hSNGckGbC664YwDP~D4er1BnRsf7rj~gjNkWaCn2Oc0cr6-ov7f3UqrofuyfI1wW3pL1QWpv0vbbcSwscuZBAIjgh4O-Vt7Zn9yMs5RY7ErUTDRJKIJHvLqgKF6xfgSTQAkqUYXQwz460k6kw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Deer_density_estimation_in_Mediterranean_ecosystems_using_line_transect_techniques","translated_slug":"","page_count":1,"language":"en","content_type":"Work","owner":{"id":4424438,"first_name":"Frederico","middle_initials":null,"last_name":"Mestre","page_name":"FredericoMestre","domain_name":"ualg","created_at":"2013-06-03T18:58:49.594-07:00","display_name":"Frederico Mestre","url":"https://ualg.academia.edu/FredericoMestre"},"attachments":[{"id":34865839,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/34865839/thumbnails/1.jpg","file_name":"Poster_-_Brno_2003.pdf","download_url":"https://www.academia.edu/attachments/34865839/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Deer_density_estimation_in_Mediterranean.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/34865839/Poster_-_Brno_2003-libre.pdf?1411617927=\u0026response-content-disposition=attachment%3B+filename%3DDeer_density_estimation_in_Mediterranean.pdf\u0026Expires=1732784734\u0026Signature=PFhNwJYV~akt2HCnUhVddK9H5WXeVk326cCsky6FtMtYUYOM-GJMNsu3U~BtftFBgJGJG7VZDYqy0Y65q~V7n-voCgKNvWSDggvtTQuRbDGBLj~hZ57lstl7DEvP6e3BSttwdAr8Oj62KtXRP92fc2spgk6Dba1PbtxwDkoWXulvCuaisDZbLIzrJ40qjzk4eeaR0hSNGckGbC664YwDP~D4er1BnRsf7rj~gjNkWaCn2Oc0cr6-ov7f3UqrofuyfI1wW3pL1QWpv0vbbcSwscuZBAIjgh4O-Vt7Zn9yMs5RY7ErUTDRJKIJHvLqgKF6xfgSTQAkqUYXQwz460k6kw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":4266,"name":"Wildlife Biology","url":"https://www.academia.edu/Documents/in/Wildlife_Biology"},{"id":64939,"name":"Red deer","url":"https://www.academia.edu/Documents/in/Red_deer"},{"id":133572,"name":"Wildlife Management","url":"https://www.academia.edu/Documents/in/Wildlife_Management"},{"id":1493339,"name":"Line transect applications","url":"https://www.academia.edu/Documents/in/Line_transect_applications"}],"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="8483388"><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/8483388/Selec%C3%A7%C3%A3o_de_Habitat_pelo_Veado_Cervus_elaphus_L_no_Per%C3%ADmetro_Florestal_da_Contenda"><img alt="Research paper thumbnail of Selecção de Habitat pelo Veado (Cervus elaphus L.) no Perímetro Florestal da Contenda" class="work-thumbnail" src="https://attachments.academia-assets.com/34865798/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/8483388/Selec%C3%A7%C3%A3o_de_Habitat_pelo_Veado_Cervus_elaphus_L_no_Per%C3%ADmetro_Florestal_da_Contenda">Selecção de Habitat pelo Veado (Cervus elaphus L.) no Perímetro Florestal da Contenda</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">O veado (Cervus elaphus) é uma espécie com grande implementação a nível nacional uma vez que é a ...</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">O veado (Cervus elaphus) é uma espécie com grande implementação a nível nacional uma vez que é a espécie de caça maior com mais importância em termos económicos e sociais. Embora os estudos sobre o veado sejam abundantes, a informação relativa à sua ecologia em habitats mediterrânicos é relativamente escassa, particularmente <br />no que se refere aos biótopos utilizados e à selecção de habitat. A existência desta informação é, contudo, um passo primordial na elaboração de planos de gestão eficazes para as populações desta espécie. O presente estudo, visa analisar a existência da selecção de habitat em diferentes fases do ciclo de vida do veado, no Perímetro Florestal da Contenda (PFC), uma área com reduzida intervenção humana, de características eminentemente mediterrânicas, onde esta espécie é sujeita a caça.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="014465b51caf2bed0422247244a2ca79" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":34865798,"asset_id":8483388,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/34865798/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&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="8483388"><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="8483388"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 8483388; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=8483388]").text(description); $(".js-view-count[data-work-id=8483388]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 8483388; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='8483388']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 8483388, 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: "014465b51caf2bed0422247244a2ca79" } } $('.js-work-strip[data-work-id=8483388]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":8483388,"title":"Selecção de Habitat pelo Veado (Cervus elaphus L.) no Perímetro Florestal da Contenda","translated_title":"","metadata":{"abstract":"O veado (Cervus elaphus) é uma espécie com grande implementação a nível nacional uma vez que é a espécie de caça maior com mais importância em termos económicos e sociais. Embora os estudos sobre o veado sejam abundantes, a informação relativa à sua ecologia em habitats mediterrânicos é relativamente escassa, particularmente\r\nno que se refere aos biótopos utilizados e à selecção de habitat. A existência desta informação é, contudo, um passo primordial na elaboração de planos de gestão eficazes para as populações desta espécie. O presente estudo, visa analisar a existência da selecção de habitat em diferentes fases do ciclo de vida do veado, no Perímetro Florestal da Contenda (PFC), uma área com reduzida intervenção humana, de características eminentemente mediterrânicas, onde esta espécie é sujeita a caça."},"translated_abstract":"O veado (Cervus elaphus) é uma espécie com grande implementação a nível nacional uma vez que é a espécie de caça maior com mais importância em termos económicos e sociais. Embora os estudos sobre o veado sejam abundantes, a informação relativa à sua ecologia em habitats mediterrânicos é relativamente escassa, particularmente\r\nno que se refere aos biótopos utilizados e à selecção de habitat. A existência desta informação é, contudo, um passo primordial na elaboração de planos de gestão eficazes para as populações desta espécie. O presente estudo, visa analisar a existência da selecção de habitat em diferentes fases do ciclo de vida do veado, no Perímetro Florestal da Contenda (PFC), uma área com reduzida intervenção humana, de características eminentemente mediterrânicas, onde esta espécie é sujeita a caça.","internal_url":"https://www.academia.edu/8483388/Selec%C3%A7%C3%A3o_de_Habitat_pelo_Veado_Cervus_elaphus_L_no_Per%C3%ADmetro_Florestal_da_Contenda","translated_internal_url":"","created_at":"2014-09-24T20:28:08.702-07:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":4424438,"coauthors_can_edit":true,"document_type":"other","co_author_tags":[{"id":64114,"work_id":8483388,"tagging_user_id":4424438,"tagged_user_id":1474306,"co_author_invite_id":null,"email":"a***a@uevora.pt","affiliation":"Universidade de Évora","display_order":null,"name":"António Mira","title":"Selecção de Habitat pelo Veado (Cervus elaphus L.) no Perímetro Florestal da Contenda"}],"downloadable_attachments":[{"id":34865798,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/34865798/thumbnails/1.jpg","file_name":"Poster_-_Evora_2003.pdf","download_url":"https://www.academia.edu/attachments/34865798/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Seleccao_de_Habitat_pelo_Veado_Cervus_el.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/34865798/Poster_-_Evora_2003-libre.pdf?1411617691=\u0026response-content-disposition=attachment%3B+filename%3DSeleccao_de_Habitat_pelo_Veado_Cervus_el.pdf\u0026Expires=1732784734\u0026Signature=WxCpaDgizAuXHwM2kpXMtWK4fVMnIbS4EHRuF~Adea-32rBAYSBpkpkeNH9DJywaUhWXQlSFspah1-lawfLXWYA5xcWchNPb~5pNne0r~OH4YqrGZteILWUwkO47Lzoe1wqDz9zpOIw~9hEJG1vZKwFVuxbCZMTxzuBSU8CIFPVNj2fE8umSF~ZJ3YLhLcIrYLeKXUBWdiCD8o2D~ba9v5PV6xHY0woyXapQZKgfOyoNY0dgzh98~igYeL6D-JXQtfI-cd1Zy5tgEvgtnOVfw9SnVoEq96WFVJfR3GPOf-Fuj5YsUI3cx0~BVE1i3mdT6jtMWb0LeMEYCo19iQCbxA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Selecção_de_Habitat_pelo_Veado_Cervus_elaphus_L_no_Perímetro_Florestal_da_Contenda","translated_slug":"","page_count":1,"language":"pt","content_type":"Work","owner":{"id":4424438,"first_name":"Frederico","middle_initials":null,"last_name":"Mestre","page_name":"FredericoMestre","domain_name":"ualg","created_at":"2013-06-03T18:58:49.594-07:00","display_name":"Frederico Mestre","url":"https://ualg.academia.edu/FredericoMestre"},"attachments":[{"id":34865798,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/34865798/thumbnails/1.jpg","file_name":"Poster_-_Evora_2003.pdf","download_url":"https://www.academia.edu/attachments/34865798/download_file?st=MTczMjc4MTEzNCw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Seleccao_de_Habitat_pelo_Veado_Cervus_el.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/34865798/Poster_-_Evora_2003-libre.pdf?1411617691=\u0026response-content-disposition=attachment%3B+filename%3DSeleccao_de_Habitat_pelo_Veado_Cervus_el.pdf\u0026Expires=1732784734\u0026Signature=WxCpaDgizAuXHwM2kpXMtWK4fVMnIbS4EHRuF~Adea-32rBAYSBpkpkeNH9DJywaUhWXQlSFspah1-lawfLXWYA5xcWchNPb~5pNne0r~OH4YqrGZteILWUwkO47Lzoe1wqDz9zpOIw~9hEJG1vZKwFVuxbCZMTxzuBSU8CIFPVNj2fE8umSF~ZJ3YLhLcIrYLeKXUBWdiCD8o2D~ba9v5PV6xHY0woyXapQZKgfOyoNY0dgzh98~igYeL6D-JXQtfI-cd1Zy5tgEvgtnOVfw9SnVoEq96WFVJfR3GPOf-Fuj5YsUI3cx0~BVE1i3mdT6jtMWb0LeMEYCo19iQCbxA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":64939,"name":"Red deer","url":"https://www.academia.edu/Documents/in/Red_deer"},{"id":64944,"name":"Deer Management","url":"https://www.academia.edu/Documents/in/Deer_Management"}],"urls":[]}, dispatcherData: dispatcherData }); 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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="2133350" id="conferencepresentations"><div class="js-work-strip profile--work_container" data-work-id="25213791"><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/25213791/Using_MetaLandSim_an_R_package_for_simulating_range_expansion_under_landscape_scenarios_synergies_between_climate_and_landscape_change"><img alt="Research paper thumbnail of Using MetaLandSim, an R package for simulating range expansion under landscape scenarios – synergies between climate and landscape change" class="work-thumbnail" src="https://attachments.academia-assets.com/45524509/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/25213791/Using_MetaLandSim_an_R_package_for_simulating_range_expansion_under_landscape_scenarios_synergies_between_climate_and_landscape_change">Using MetaLandSim, an R package for simulating range expansion under landscape scenarios – synergies between climate and landscape change</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://ualg.academia.edu/FredericoMestre">Frederico Mestre</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://universityofevora.academia.edu/RicardoPita">Ricardo Pita</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/Cl%C3%A1udiaEncarna%C3%A7%C3%A3o">Cláudia Encarnação</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://up-pt.academia.edu/PedroBeja">Pedro Beja</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Predicting the future distribution of a species under a variety of climate change scenarios is co...</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">Predicting the future distribution of a species under a variety of climate change scenarios is common practice. However, future projections of an Ecological Niche Model (ENM) calibrated under current conditions do not account for landscape characteristics or dispersal ability. Here we present MetaLandSim, a new R package, relying on the simulation of metapopulation dynamics to, through a scaling-up approach, create a dispersal model (DM) which can be combined with an ENM. Although some software packages are available providing similar functionalities, MetaLandSim offers a good balance between data requirement and output quality. It assumes that the focal species occupies a clearly defined network of habitat patches, in which local extinction and colonization events are common. The final result, after combining the output of MetaLandSim with that of an ENM, is a set of model's projections considering the ecological needs of the species (ENM), and its dispersal ability and landscape configuration (DM). This output allows the identification of areas with adequate climatic conditions to the species (with the ENM), which are accessible (using the DM). We demonstrate this approach with the Cabrera vole (Microtus cabrerae), a globally " near threatened " species endemic to the Iberian Peninsula, Western Europe. It has a metapopulation-like spatial structure, occupying habitat networks relatively easy to identify and map at the landscape scale. Results highlighted that, under two climate change scenarios, the species' range will suffer substantial fragmentation, characterized by a strong reduction of suitable areas, which is strengthened when imposing accessibility restrictions. Overall, this study provides a useful illustrative example of the synergistic effects of climate and landscape change on potential range shifts in metapopulations. We suggest that our simulation modelling approach provides a useful framework improving such predictions for a broad range of species, and developing effective conservation planning for metapopulations under both climate and landscape change.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4921fd44f64d81988dabb44ed4c1ec87" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":45524509,"asset_id":25213791,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/45524509/download_file?st=MTczMjc4MTEzNSw4LjIyMi4yMDguMTQ2&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="25213791"><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="25213791"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 25213791; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=25213791]").text(description); $(".js-view-count[data-work-id=25213791]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 25213791; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='25213791']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 25213791, 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: "4921fd44f64d81988dabb44ed4c1ec87" } } $('.js-work-strip[data-work-id=25213791]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":25213791,"title":"Using MetaLandSim, an R package for simulating range expansion under landscape scenarios – synergies between climate and landscape change","translated_title":"","metadata":{"abstract":"Predicting the future distribution of a species under a variety of climate change scenarios is common practice. 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paisagem e técnicas de gestão do habitat (abstract in Portuguese)" class="work-thumbnail" src="https://attachments.academia-assets.com/35564102/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/9303501/Factores_condicionantes_da_abund%C3%A2ncia_de_coelho_bravo_%C3%A0_escala_do_dom%C3%ADnio_da_actividade_vari%C3%A1veis_ambientais_configura%C3%A7%C3%A3o_da_paisagem_e_t%C3%A9cnicas_de_gest%C3%A3o_do_habitat_abstract_in_Portuguese_">Factores condicionantes da abundância de coelho-bravo à escala do domínio da actividade: variáveis ambientais, configuração da paisagem e técnicas de gestão do habitat (abstract in Portuguese)</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ada41f49a7244e8257ea124064200a05" 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Portuguese)","translated_title":"","metadata":{"grobid_abstract":"A abundância de coelho-bravo (Oryctolagus cuniculus algirus) é, frequentemente, muito variável dentro de uma mesma unidade de gestão. Compreender as razões de tão acentuada variação local da densidade torna-se necessário ao estabelecimento de critérios de gestão e de conservação da espécie, que constitui uma presa chave em ecossistemas mediterrânicos. Neste estudo, à escala do domínio de atividade (home range) da espécie, avalia-se a relação entre a abundância relativa e três diferentes tipos de factores: (1) variáveis ambientais, (2) atributos paisagísticos e (3) técnicas de gestão do habitat. A abundância relativa de coelhobravo foi estimada, ao longo de 18 meses numa Zona de Caça Associativa com cerca de 1200 ha situada na serra algarvia (Querença), através da contagem de latrinas percorrendo-se transectos localizados em 45 áreas amostrais com 250 x 250 m. Os resultados mostram que o declive, a rugosidade do terreno e a distância a pontos artificiais de água não se encontram correlacionados com a abundância de coelho-bravo. Pelo contrário, os resultados sugerem que a densidade cresça com a presença de culturas, com a gestão de matos e com a proximidade de orlas e de marouços artificiais e que, inversamente, decresça em solos duros, difíceis de escavar, e nas vertentes orientadas a norte e a nordeste. Assim, a promoção de áreas de justaposição entre zonas de abrigo e zonas de alimentação, levando a uma redução da distância às orlas entre aqueles dois biótopos para menos de 50 m, bem como o aumento da qualidade do habitat em encostas com abundante exposição solar, afiguram-se medidas adequadas à promoção do adensamento populacional do coelho-bravo na serra algarvia.","grobid_abstract_attachment_id":35564102},"translated_abstract":null,"internal_url":"https://www.academia.edu/9303501/Factores_condicionantes_da_abund%C3%A2ncia_de_coelho_bravo_%C3%A0_escala_do_dom%C3%ADnio_da_actividade_vari%C3%A1veis_ambientais_configura%C3%A7%C3%A3o_da_paisagem_e_t%C3%A9cnicas_de_gest%C3%A3o_do_habitat_abstract_in_Portuguese_","translated_internal_url":"","created_at":"2014-11-14T01:45:56.086-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":4424438,"coauthors_can_edit":true,"document_type":"conference_presentation","co_author_tags":[{"id":5857350,"work_id":9303501,"tagging_user_id":4424438,"tagged_user_id":1171009,"co_author_invite_id":null,"email":"g***o@gmail.com","display_order":0,"name":"Sérgio Godinho Godinho","title":"Factores condicionantes da abundância de coelho-bravo à escala do domínio da actividade: variáveis ambientais, configuração da paisagem e técnicas de gestão do habitat (abstract in Portuguese)"},{"id":5857351,"work_id":9303501,"tagging_user_id":4424438,"tagged_user_id":33311846,"co_author_invite_id":null,"email":"j***a@gmail.com","display_order":4194304,"name":"Joaquim Ferreira","title":"Factores condicionantes da abundância de coelho-bravo à escala do domínio da actividade: variáveis ambientais, configuração da paisagem e técnicas de gestão do habitat (abstract in Portuguese)"},{"id":5857352,"work_id":9303501,"tagging_user_id":4424438,"tagged_user_id":33314048,"co_author_invite_id":null,"email":"a***s@uevora.pt","display_order":6291456,"name":"Pedro Santos","title":"Factores condicionantes da abundância de coelho-bravo à escala do domínio da actividade: variáveis ambientais, configuração da paisagem e técnicas de gestão do habitat (abstract in Portuguese)"}],"downloadable_attachments":[{"id":35564102,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/35564102/thumbnails/1.jpg","file_name":"Godinho_et_al__2011.pdf","download_url":"https://www.academia.edu/attachments/35564102/download_file?st=MTczMjc4MTEzNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Factores_condicionantes_da_abundancia_de.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/35564102/Godinho_et_al__2011-libre.pdf?1415958590=\u0026response-content-disposition=attachment%3B+filename%3DFactores_condicionantes_da_abundancia_de.pdf\u0026Expires=1732784735\u0026Signature=JmAF3MaNOMn-NFQpRuJgbVfXUcj26HGKAFoZeJvXoWRKQinGFbDWGdnm2FT-JSzEyozOR7F9x92ubyRWamTHhXAserHcw3vZ2FT8wf0SC4JGl9qv7eAtzs2aA-3xhbiVk0JTIWjV9dfsXweOldVDQ4ObT0k3swHgiAIp-NrFNsRbtyAWSmrQIeHxojF-ChU1hBnF7yR3FEwVPl03nWyyNFo7DnIFBupU8VhCkMJLWLbHz3iKoFcNb9hFkkZKNH1DEtJe2hPtE0XBfn7-sNV~J2VBy2J9W6lyk8OFTBEJj3~87cxYb0GPrUdti6pAT7qz9~Twrd3OnyValsFExqvgeA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Factores_condicionantes_da_abundância_de_coelho_bravo_à_escala_do_domínio_da_actividade_variáveis_ambientais_configuração_da_paisagem_e_técnicas_de_gestão_do_habitat_abstract_in_Portuguese_","translated_slug":"","page_count":1,"language":"pt","content_type":"Work","owner":{"id":4424438,"first_name":"Frederico","middle_initials":null,"last_name":"Mestre","page_name":"FredericoMestre","domain_name":"ualg","created_at":"2013-06-03T18:58:49.594-07:00","display_name":"Frederico Mestre","url":"https://ualg.academia.edu/FredericoMestre"},"attachments":[{"id":35564102,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/35564102/thumbnails/1.jpg","file_name":"Godinho_et_al__2011.pdf","download_url":"https://www.academia.edu/attachments/35564102/download_file?st=MTczMjc4MTEzNSw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Factores_condicionantes_da_abundancia_de.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/35564102/Godinho_et_al__2011-libre.pdf?1415958590=\u0026response-content-disposition=attachment%3B+filename%3DFactores_condicionantes_da_abundancia_de.pdf\u0026Expires=1732784735\u0026Signature=JmAF3MaNOMn-NFQpRuJgbVfXUcj26HGKAFoZeJvXoWRKQinGFbDWGdnm2FT-JSzEyozOR7F9x92ubyRWamTHhXAserHcw3vZ2FT8wf0SC4JGl9qv7eAtzs2aA-3xhbiVk0JTIWjV9dfsXweOldVDQ4ObT0k3swHgiAIp-NrFNsRbtyAWSmrQIeHxojF-ChU1hBnF7yR3FEwVPl03nWyyNFo7DnIFBupU8VhCkMJLWLbHz3iKoFcNb9hFkkZKNH1DEtJe2hPtE0XBfn7-sNV~J2VBy2J9W6lyk8OFTBEJj3~87cxYb0GPrUdti6pAT7qz9~Twrd3OnyValsFExqvgeA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, 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="9303598"><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/9303598/Package_ENiRG"><img alt="Research paper thumbnail of Package ENiRG" class="work-thumbnail" src="https://attachments.academia-assets.com/35564226/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/9303598/Package_ENiRG">Package ENiRG</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://ualg.academia.edu/FredericoMestre">Frederico Mestre</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://ualg.academia.edu/FernandoCanovasGarcia">Fernando Canovas Garcia</a></span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The package allows to perform the Ecological Niche Factor Analysis, calculate habitat suitability...</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 package allows to perform the Ecological Niche Factor Analysis, calculate habitat suitability maps and classify the habitat in suitability classes. 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