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Taking advantage of opportunistically collected historical occurrence data to detect responses to climate change: The case of temperature and Iberian dung beetles
This study introduces a novel approach to leverage high‐resolution historical climate data and opportunistically collected historical species occurrence data for detecting adaptive responses to global change. We applied this procedure to the temperature data and the most comprehensive Iberian datase...
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Published in: | Ecology and evolution 2023-12, Vol.13 (12), p.e10674-n/a |
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description | This study introduces a novel approach to leverage high‐resolution historical climate data and opportunistically collected historical species occurrence data for detecting adaptive responses to global change. We applied this procedure to the temperature data and the most comprehensive Iberian dataset of dung beetle occurrences as an illustrative example. To understand how populations of different species are responding, we devised a procedure that compares the temporal trend of spatial and temperature variables at the locations and times of all the occurrence data collection (overall trend) with the specific temporal trends among the occurrences of each species. The prevalence of various species responses is linked to life history or taxonomic characteristics, enabling the identification of key factors influencing the propensity to experience different effects from climate change. Our findings suggest that nearly half of the Iberian dung beetle species may be adversely affected by temperature increases, with a geographic shift being the most common response. The results generated through the proposed methodology should be regarded as preliminary information, serving to formulate hypotheses about the diverse responses of species to climate change and aiding in the selection of candidate species capable of coping with challenges posed by changing temperatures.
A novel approach for taking advantage of historical occurrence data to detect adaptive responses to climate change is presented. Our findings suggest that approximately half of the Iberian dung beetle species may experience negative effects from temperature increases and that the spatial response will be the most frequent one. |
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A novel approach for taking advantage of historical occurrence data to detect adaptive responses to climate change is presented. Our findings suggest that approximately half of the Iberian dung beetle species may experience negative effects from temperature increases and that the spatial response will be the most frequent one.</description><identifier>ISSN: 2045-7758</identifier><identifier>EISSN: 2045-7758</identifier><identifier>DOI: 10.1002/ece3.10674</identifier><identifier>PMID: 38077519</identifier><language>eng</language><publisher>England: John Wiley & Sons, Inc</publisher><subject>Adaptation ; Beetles ; Biodiversity ; Candidate species ; Climate change ; Climatic data ; collection bias ; Data collection ; Dung ; dung beetles ; Endangered & extinct species ; Extinction ; Geography ; Hypotheses ; Iberian Peninsula ; Insects ; Life history ; Phenology ; Physiology ; spatio‐thermal patterns ; Species ; species decline ; Temperature ; temporal trends</subject><ispartof>Ecology and evolution, 2023-12, Vol.13 (12), p.e10674-n/a</ispartof><rights>2023 The Authors. published by John Wiley & Sons Ltd.</rights><rights>2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.</rights><rights>2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c4184-4b2920835292682d69fc1e0388985bf73a255f68fcad8bdd0b6b631b69716b1b3</cites><orcidid>0000-0002-1887-9135 ; 0000-0002-3152-4769 ; 0000-0002-7400-2151 ; 0000-0003-3977-7944</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2906918957/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2906918957?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,11541,25731,27901,27902,36989,36990,44566,46027,46451,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38077519$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lobo, Jorge M.</creatorcontrib><creatorcontrib>Mingarro, Mario</creatorcontrib><creatorcontrib>Godefroid, Martin</creatorcontrib><creatorcontrib>García‐Roselló, Emilio</creatorcontrib><title>Taking advantage of opportunistically collected historical occurrence data to detect responses to climate change: The case of temperature and Iberian dung beetles</title><title>Ecology and evolution</title><addtitle>Ecol Evol</addtitle><description>This study introduces a novel approach to leverage high‐resolution historical climate data and opportunistically collected historical species occurrence data for detecting adaptive responses to global change. We applied this procedure to the temperature data and the most comprehensive Iberian dataset of dung beetle occurrences as an illustrative example. To understand how populations of different species are responding, we devised a procedure that compares the temporal trend of spatial and temperature variables at the locations and times of all the occurrence data collection (overall trend) with the specific temporal trends among the occurrences of each species. The prevalence of various species responses is linked to life history or taxonomic characteristics, enabling the identification of key factors influencing the propensity to experience different effects from climate change. Our findings suggest that nearly half of the Iberian dung beetle species may be adversely affected by temperature increases, with a geographic shift being the most common response. The results generated through the proposed methodology should be regarded as preliminary information, serving to formulate hypotheses about the diverse responses of species to climate change and aiding in the selection of candidate species capable of coping with challenges posed by changing temperatures.
A novel approach for taking advantage of historical occurrence data to detect adaptive responses to climate change is presented. Our findings suggest that approximately half of the Iberian dung beetle species may experience negative effects from temperature increases and that the spatial response will be the most frequent one.</description><subject>Adaptation</subject><subject>Beetles</subject><subject>Biodiversity</subject><subject>Candidate species</subject><subject>Climate change</subject><subject>Climatic data</subject><subject>collection bias</subject><subject>Data collection</subject><subject>Dung</subject><subject>dung beetles</subject><subject>Endangered & extinct species</subject><subject>Extinction</subject><subject>Geography</subject><subject>Hypotheses</subject><subject>Iberian Peninsula</subject><subject>Insects</subject><subject>Life history</subject><subject>Phenology</subject><subject>Physiology</subject><subject>spatio‐thermal patterns</subject><subject>Species</subject><subject>species decline</subject><subject>Temperature</subject><subject>temporal trends</subject><issn>2045-7758</issn><issn>2045-7758</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9ks2OFCEUhStG40zG2fgAhsSNMWkF6gdwZzqtdjKJm3ZNLnCru9rqogRqTL-OTyrVNU6MC9ncm8OXwwFuUbxk9B2jlL9Hi2XuGlE9Ka45reqVELV8-ld_VdzGeKR5NZRXVDwvrkpJ8w5T18WvHXzvhj0Bdw9Dgj0S3xI_jj6kaehi6iz0_ZlY3_doEzpyyKIPs0y8tVMIOFgkDhKQ5InDlDESMI5-iBhnzfbdCRISe4Bhjx_I7pB7iJeTEp5GDJCmgAQGR7YGQwcDcVPOZBBTj_FF8ayFPuLtQ70pvn3a7NZfVndfP2_XH-9WtmKyWlWGK05lWefSSO4a1VqGtJRSydq0ogRe120jWwtOGueoaUxTMtMowRrDTHlTbBdf5-Gox5BTh7P20OmL4MNeQ8gP0qOWLYLjVWms4BWXDNoa0AmlKNq6VDR7vVm8xuB_TBiTPnXRYt_DgH6KmivKVc2FEBl9_Q969FMY8k1nqlFMqnqm3i6UDT7GgO1jQEb1PAh6HgR9GYQMv3qwnMwJ3SP659szwBbgZ9fj-T9WerPelIvpbzDRvnU</recordid><startdate>202312</startdate><enddate>202312</enddate><creator>Lobo, Jorge M.</creator><creator>Mingarro, Mario</creator><creator>Godefroid, Martin</creator><creator>García‐Roselló, Emilio</creator><general>John Wiley & Sons, Inc</general><general>Wiley</general><scope>24P</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7X2</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><scope>SOI</scope><scope>7X8</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1887-9135</orcidid><orcidid>https://orcid.org/0000-0002-3152-4769</orcidid><orcidid>https://orcid.org/0000-0002-7400-2151</orcidid><orcidid>https://orcid.org/0000-0003-3977-7944</orcidid></search><sort><creationdate>202312</creationdate><title>Taking advantage of opportunistically collected historical occurrence data to detect responses to climate change: The case of temperature and Iberian dung beetles</title><author>Lobo, Jorge M. ; Mingarro, Mario ; Godefroid, Martin ; García‐Roselló, Emilio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4184-4b2920835292682d69fc1e0388985bf73a255f68fcad8bdd0b6b631b69716b1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adaptation</topic><topic>Beetles</topic><topic>Biodiversity</topic><topic>Candidate species</topic><topic>Climate change</topic><topic>Climatic data</topic><topic>collection bias</topic><topic>Data collection</topic><topic>Dung</topic><topic>dung beetles</topic><topic>Endangered & extinct species</topic><topic>Extinction</topic><topic>Geography</topic><topic>Hypotheses</topic><topic>Iberian Peninsula</topic><topic>Insects</topic><topic>Life history</topic><topic>Phenology</topic><topic>Physiology</topic><topic>spatio‐thermal patterns</topic><topic>Species</topic><topic>species decline</topic><topic>Temperature</topic><topic>temporal trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lobo, Jorge M.</creatorcontrib><creatorcontrib>Mingarro, Mario</creatorcontrib><creatorcontrib>Godefroid, Martin</creatorcontrib><creatorcontrib>García‐Roselló, Emilio</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Ecology and evolution</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lobo, Jorge M.</au><au>Mingarro, Mario</au><au>Godefroid, Martin</au><au>García‐Roselló, Emilio</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Taking advantage of opportunistically collected historical occurrence data to detect responses to climate change: The case of temperature and Iberian dung beetles</atitle><jtitle>Ecology and evolution</jtitle><addtitle>Ecol Evol</addtitle><date>2023-12</date><risdate>2023</risdate><volume>13</volume><issue>12</issue><spage>e10674</spage><epage>n/a</epage><pages>e10674-n/a</pages><issn>2045-7758</issn><eissn>2045-7758</eissn><abstract>This study introduces a novel approach to leverage high‐resolution historical climate data and opportunistically collected historical species occurrence data for detecting adaptive responses to global change. We applied this procedure to the temperature data and the most comprehensive Iberian dataset of dung beetle occurrences as an illustrative example. To understand how populations of different species are responding, we devised a procedure that compares the temporal trend of spatial and temperature variables at the locations and times of all the occurrence data collection (overall trend) with the specific temporal trends among the occurrences of each species. The prevalence of various species responses is linked to life history or taxonomic characteristics, enabling the identification of key factors influencing the propensity to experience different effects from climate change. Our findings suggest that nearly half of the Iberian dung beetle species may be adversely affected by temperature increases, with a geographic shift being the most common response. The results generated through the proposed methodology should be regarded as preliminary information, serving to formulate hypotheses about the diverse responses of species to climate change and aiding in the selection of candidate species capable of coping with challenges posed by changing temperatures.
A novel approach for taking advantage of historical occurrence data to detect adaptive responses to climate change is presented. Our findings suggest that approximately half of the Iberian dung beetle species may experience negative effects from temperature increases and that the spatial response will be the most frequent one.</abstract><cop>England</cop><pub>John Wiley & Sons, Inc</pub><pmid>38077519</pmid><doi>10.1002/ece3.10674</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0002-1887-9135</orcidid><orcidid>https://orcid.org/0000-0002-3152-4769</orcidid><orcidid>https://orcid.org/0000-0002-7400-2151</orcidid><orcidid>https://orcid.org/0000-0003-3977-7944</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adaptation Beetles Biodiversity Candidate species Climate change Climatic data collection bias Data collection Dung dung beetles Endangered & extinct species Extinction Geography Hypotheses Iberian Peninsula Insects Life history Phenology Physiology spatio‐thermal patterns Species species decline Temperature temporal trends |
title | Taking advantage of opportunistically collected historical occurrence data to detect responses to climate change: The case of temperature and Iberian dung beetles |
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