Species vulnerability to climate change: impacts on spatial conservation priorities and species representation
Identifieur interne : 001042 ( Istex/Corpus ); précédent : 001041; suivant : 001043Species vulnerability to climate change: impacts on spatial conservation priorities and species representation
Auteurs : David M. Summers ; Brett A. Bryan ; Neville D. Crossman ; Wayne S. MeyerSource :
- Global Change Biology [ 1354-1013 ] ; 2012-07.
Abstract
Climate change may shrink and/or shift plant species ranges thereby increasing their vulnerability and requiring targeted conservation to facilitate adaptation. We quantified the vulnerability to climate change of plant species based on exposure, sensitivity and adaptive capacity and assessed the effects of including these components in complementarity‐based spatial conservation prioritisation. We modelled the vulnerability of 584 native plant species under three climate change scenarios in an 11.9 million hectare fragmented agricultural region in southern Australia. We represented exposure as species' geographical range under each climate change scenario as quantified using species distribution models. We calculated sensitivity as a function of the impact of climate change on species' geographical ranges. Using a dispersal kernel, we quantified adaptive capacity as species' ability to migrate to new geographical ranges under each climate change scenario. Using Zonation, we assessed the impact of individual components of vulnerability (exposure, sensitivity and adaptive capacity) on spatial conservation priorities and levels of species representation in priority areas under each climate change scenario. The full vulnerability framework proved an effective basis for identifying spatial conservation priorities under climate change. Including different dimensions of vulnerability had significant implications for spatial conservation priorities. Incorporating adaptive capacity increased the level of representation of most species. However, prioritising sensitive species reduced the representation of other species. We conclude that whilst taking an integrated approach to mitigating species vulnerability to climate change can ensure sensitive species are well‐represented in a conservation network, this can come at the cost of reduced representation of other species. Conservation planning decisions aimed at reducing species vulnerability to climate change need to be made in full cognisance of the sensitivity of spatial conservation priorities to individual components of vulnerability, and the trade‐offs associated with focussing on sensitive species.
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DOI: 10.1111/j.1365-2486.2012.02700.x
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Summers</name><affiliation><mods:affiliation>PMB 2 Glen Osmond, SA, 5064, Adelaide, Australia</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: david.summers@csiro.au</mods:affiliation></affiliation></author><author><name sortKey="Bryan, Brett A" sort="Bryan, Brett A" uniqKey="Bryan B" first="Brett A." last="Bryan">Brett A. Bryan</name><affiliation><mods:affiliation>PMB 2 Glen Osmond, SA, 5064, Adelaide, Australia</mods:affiliation></affiliation></author><author><name sortKey="Crossman, Neville D" sort="Crossman, Neville D" uniqKey="Crossman N" first="Neville D." last="Crossman">Neville D. Crossman</name><affiliation><mods:affiliation>PMB 2 Glen Osmond, SA, 5064, Adelaide, Australia</mods:affiliation></affiliation></author><author><name sortKey="Meyer, Wayne S" sort="Meyer, Wayne S" uniqKey="Meyer W" first="Wayne S." last="Meyer">Wayne S. 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We quantified the vulnerability to climate change of plant species based on exposure, sensitivity and adaptive capacity and assessed the effects of including these components in complementarity‐based spatial conservation prioritisation. We modelled the vulnerability of 584 native plant species under three climate change scenarios in an 11.9 million hectare fragmented agricultural region in southern Australia. We represented exposure as species' geographical range under each climate change scenario as quantified using species distribution models. We calculated sensitivity as a function of the impact of climate change on species' geographical ranges. Using a dispersal kernel, we quantified adaptive capacity as species' ability to migrate to new geographical ranges under each climate change scenario. Using Zonation, we assessed the impact of individual components of vulnerability (exposure, sensitivity and adaptive capacity) on spatial conservation priorities and levels of species representation in priority areas under each climate change scenario. The full vulnerability framework proved an effective basis for identifying spatial conservation priorities under climate change. Including different dimensions of vulnerability had significant implications for spatial conservation priorities. Incorporating adaptive capacity increased the level of representation of most species. However, prioritising sensitive species reduced the representation of other species. We conclude that whilst taking an integrated approach to mitigating species vulnerability to climate change can ensure sensitive species are well‐represented in a conservation network, this can come at the cost of reduced representation of other species. Conservation planning decisions aimed at reducing species vulnerability to climate change need to be made in full cognisance of the sensitivity of spatial conservation priorities to individual components of vulnerability, and the trade‐offs associated with focussing on sensitive species.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>David M. Summers</name><affiliations><json:string>PMB 2 Glen Osmond, SA, 5064, Adelaide, Australia</json:string><json:string>E-mail: david.summers@csiro.au</json:string></affiliations></json:item><json:item><name>Brett A. Bryan</name><affiliations><json:string>PMB 2 Glen Osmond, SA, 5064, Adelaide, Australia</json:string></affiliations></json:item><json:item><name>Neville D. Crossman</name><affiliations><json:string>PMB 2 Glen Osmond, SA, 5064, Adelaide, Australia</json:string></affiliations></json:item><json:item><name>Wayne S. 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We quantified the vulnerability to climate change of plant species based on exposure, sensitivity and adaptive capacity and assessed the effects of including these components in complementarity‐based spatial conservation prioritisation. We modelled the vulnerability of 584 native plant species under three climate change scenarios in an 11.9 million hectare fragmented agricultural region in southern Australia. We represented exposure as species' geographical range under each climate change scenario as quantified using species distribution models. We calculated sensitivity as a function of the impact of climate change on species' geographical ranges. Using a dispersal kernel, we quantified adaptive capacity as species' ability to migrate to new geographical ranges under each climate change scenario. Using Zonation, we assessed the impact of individual components of vulnerability (exposure, sensitivity and adaptive capacity) on spatial conservation priorities and levels of species representation in priority areas under each climate change scenario. The full vulnerability framework proved an effective basis for identifying spatial conservation priorities under climate change. Including different dimensions of vulnerability had significant implications for spatial conservation priorities. Incorporating adaptive capacity increased the level of representation of most species. However, prioritising sensitive species reduced the representation of other species. We conclude that whilst taking an integrated approach to mitigating species vulnerability to climate change can ensure sensitive species are well‐represented in a conservation network, this can come at the cost of reduced representation of other species. 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Using Zonation, we assessed the impact of individual components of vulnerability (exposure, sensitivity and adaptive capacity) on spatial conservation priorities and levels of species representation in priority areas under each climate change scenario. The full vulnerability framework proved an effective basis for identifying spatial conservation priorities under climate change. Including different dimensions of vulnerability had significant implications for spatial conservation priorities. Incorporating adaptive capacity increased the level of representation of most species. However, prioritising sensitive species reduced the representation of other species. We conclude that whilst taking an integrated approach to mitigating species vulnerability to climate change can ensure sensitive species are well‐represented in a conservation network, this can come at the cost of reduced representation of other species. Conservation planning decisions aimed at reducing species vulnerability to climate change need to be made in full cognisance of the sensitivity of spatial conservation priorities to individual components of vulnerability, and the trade‐offs associated with focussing on sensitive species.</p></abstract><textClass><keywords scheme="keyword"><list><head>keywords</head><item><term>adaptive capacity</term></item><item><term>climate change</term></item><item><term>complementarity</term></item><item><term>conservation planning</term></item><item><term>exposure</term></item><item><term>niche modelling</term></item><item><term>sensitivity</term></item><item><term>triage</term></item><item><term>Zonation</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>article-category</head><item><term>Primary Research Article</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2011-12-19">Received</change><change when="2012-02-01">Registration</change><change when="2012-04-25">Created</change><change when="2012-07">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/FAC7839CE8E1A8465F3AA45E6F3A7D952EBBDB08/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component type="serialArticle" version="2.0" xml:id="gcb2700" xml:lang="en"><header><publicationMeta level="product"><doi origin="wiley" registered="yes">10.1111/(ISSN)1365-2486</doi><issn type="print">1354-1013</issn><issn type="electronic">1365-2486</issn><idGroup><id type="product" value="GCB"></id></idGroup><titleGroup><title sort="GLOBAL CHANGE BIOLOGY" type="main">Global Change Biology</title><title type="short">Glob Change Biol</title></titleGroup></publicationMeta><publicationMeta level="part" position="07107"><doi origin="wiley">10.1111/gcb.2012.18.issue-7</doi><copyright ownership="publisher">Copyright © 2012 Blackwell Publishing Ltd</copyright><numberingGroup><numbering type="journalVolume" number="18">18</numbering><numbering type="journalIssue">7</numbering></numberingGroup><coverDate startDate="2012-07">July 2012</coverDate></publicationMeta><publicationMeta level="unit" position="220" status="forIssue" type="article"><doi>10.1111/j.1365-2486.2012.02700.x</doi><idGroup><id type="unit" value="GCB2700"></id></idGroup><countGroup><count number="14" type="pageTotal"></count></countGroup><titleGroup><title type="articleCategory">Primary Research Article</title><title type="tocHeading1">Primary Research Articles</title></titleGroup><copyright ownership="publisher">© 2012 Blackwell Publishing Ltd</copyright><eventGroup><event date="2011-12-19" type="manuscriptReceived"></event><event date="2012-02-01" type="manuscriptAccepted"></event><event agent="SPS" date="2012-04-25" type="xmlCreated"></event><event type="publishedOnlineAccepted" date="2012-03-26"></event><event type="publishedOnlineEarlyUnpaginated" date="2012-04-27"></event><event type="publishedOnlineFinalForm" date="2012-06-05"></event><event type="firstOnline" date="2012-04-27"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-25"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.3.4 mode:FullText" date="2015-02-25"></event></eventGroup><numberingGroup><numbering type="pageFirst">2335</numbering><numbering type="pageLast">2348</numbering></numberingGroup><correspondenceTo>Correspondence: David M. 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We quantified the vulnerability to climate change of plant species based on exposure, sensitivity and adaptive capacity and assessed the effects of including these components in complementarity‐based spatial conservation prioritisation. We modelled the vulnerability of 584 native plant species under three climate change scenarios in an 11.9 million hectare fragmented agricultural region in southern Australia. We represented exposure as species' geographical range under each climate change scenario as quantified using species distribution models. We calculated sensitivity as a function of the impact of climate change on species' geographical ranges. Using a dispersal kernel, we quantified adaptive capacity as species' ability to migrate to new geographical ranges under each climate change scenario. Using <i>Zonation</i>, we assessed the impact of individual components of vulnerability (exposure, sensitivity and adaptive capacity) on spatial conservation priorities and levels of species representation in priority areas under each climate change scenario. The full vulnerability framework proved an effective basis for identifying spatial conservation priorities under climate change. Including different dimensions of vulnerability had significant implications for spatial conservation priorities. Incorporating adaptive capacity increased the level of representation of most species. However, prioritising sensitive species reduced the representation of other species. We conclude that whilst taking an integrated approach to mitigating species vulnerability to climate change can ensure sensitive species are well‐represented in a conservation network, this can come at the cost of reduced representation of other species. Conservation planning decisions aimed at reducing species vulnerability to climate change need to be made in full cognisance of the sensitivity of spatial conservation priorities to individual components of vulnerability, and the trade‐offs associated with focussing on sensitive species.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Species vulnerability to climate change: impacts on spatial conservation priorities and species representation</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Species vulnerability to climate change: impacts on spatial conservation priorities and species representation</title></titleInfo><name type="personal"><namePart type="given">David M.</namePart><namePart type="family">Summers</namePart><affiliation>PMB 2 Glen Osmond, SA, 5064, Adelaide, Australia</affiliation><affiliation>E-mail: david.summers@csiro.au</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Brett A.</namePart><namePart type="family">Bryan</namePart><affiliation>PMB 2 Glen Osmond, SA, 5064, Adelaide, Australia</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Neville D.</namePart><namePart type="family">Crossman</namePart><affiliation>PMB 2 Glen Osmond, SA, 5064, Adelaide, Australia</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Wayne S.</namePart><namePart type="family">Meyer</namePart><affiliation>School of Earth and Environmental Science, University of Adelaide, SA, 5064, Waite Campus Urrbrae, Adelaide, Australia</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><dateIssued encoding="w3cdtf">2012-07</dateIssued><dateCreated encoding="w3cdtf">2012-04-25</dateCreated><dateCaptured encoding="w3cdtf">2011-12-19</dateCaptured><dateValid encoding="w3cdtf">2012-02-01</dateValid><copyrightDate encoding="w3cdtf">2012</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract>Climate change may shrink and/or shift plant species ranges thereby increasing their vulnerability and requiring targeted conservation to facilitate adaptation. We quantified the vulnerability to climate change of plant species based on exposure, sensitivity and adaptive capacity and assessed the effects of including these components in complementarity‐based spatial conservation prioritisation. We modelled the vulnerability of 584 native plant species under three climate change scenarios in an 11.9 million hectare fragmented agricultural region in southern Australia. We represented exposure as species' geographical range under each climate change scenario as quantified using species distribution models. We calculated sensitivity as a function of the impact of climate change on species' geographical ranges. Using a dispersal kernel, we quantified adaptive capacity as species' ability to migrate to new geographical ranges under each climate change scenario. Using Zonation, we assessed the impact of individual components of vulnerability (exposure, sensitivity and adaptive capacity) on spatial conservation priorities and levels of species representation in priority areas under each climate change scenario. The full vulnerability framework proved an effective basis for identifying spatial conservation priorities under climate change. Including different dimensions of vulnerability had significant implications for spatial conservation priorities. Incorporating adaptive capacity increased the level of representation of most species. However, prioritising sensitive species reduced the representation of other species. We conclude that whilst taking an integrated approach to mitigating species vulnerability to climate change can ensure sensitive species are well‐represented in a conservation network, this can come at the cost of reduced representation of other species. Conservation planning decisions aimed at reducing species vulnerability to climate change need to be made in full cognisance of the sensitivity of spatial conservation priorities to individual components of vulnerability, and the trade‐offs associated with focussing on sensitive species.</abstract><note type="funding">South Australian Premier's Science Research Fund</note><note type="funding">Land Technologies Alliance</note><note type="funding">The South Australian Department of Environment and Natural Resources</note><note type="funding">CSIRO</note><note type="funding">Climate Adaptation Flagship and the Sustainable Agriculture Flagship</note><subject><genre>keywords</genre><topic>adaptive capacity</topic><topic>climate change</topic><topic>complementarity</topic><topic>conservation planning</topic><topic>exposure</topic><topic>niche modelling</topic><topic>sensitivity</topic><topic>triage</topic><topic>Zonation</topic></subject><relatedItem type="host"><titleInfo><title>Global Change Biology</title></titleInfo><titleInfo type="abbreviated"><title>Glob Change Biol</title></titleInfo><genre type="journal">journal</genre><subject><genre>article-category</genre><topic>Primary Research Article</topic></subject><identifier type="ISSN">1354-1013</identifier><identifier type="eISSN">1365-2486</identifier><identifier type="DOI">10.1111/(ISSN)1365-2486</identifier><identifier type="PublisherID">GCB</identifier><part><date>2012</date><detail type="volume"><caption>vol.</caption><number>18</number></detail><detail type="issue"><caption>no.</caption><number>7</number></detail><extent unit="pages"><start>2335</start><end>2348</end><total>14</total></extent></part></relatedItem><identifier type="istex">FAC7839CE8E1A8465F3AA45E6F3A7D952EBBDB08</identifier><identifier type="DOI">10.1111/j.1365-2486.2012.02700.x</identifier><identifier type="ArticleID">GCB2700</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2012 Blackwell Publishing Ltd© 2012 Blackwell Publishing Ltd</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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