From projected species distribution to food-web structure under climate change
Identifieur interne : 005928 ( PascalFrancis/Curation ); précédent : 005927; suivant : 005929From projected species distribution to food-web structure under climate change
Auteurs : Camille Albouy [France, Canada] ; Laure Velez [France] ; Marta Coll [Espagne, Canada] ; Francesco Colloca [Italie] ; François Le Loc'H [France] ; David Mouillot [France, Australie] ; Dominique Gravel [Canada]Source :
- Global change biology : (Print) [ 1354-1013 ] ; 2014.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Changement climatique, Milieu marin, Mer Méditerranée.
English descriptors
- KwdEn :
Abstract
Climate change is inducing deep modifications in species geographic ranges worldwide. However, the consequences of such changes on community structure are still poorly understood, particularly the impacts on food-web properties. Here, we propose a new framework, coupling species distribution and trophic models, to predict climate change impacts on food-web structure across the Mediterranean Sea. Sea surface temperature was used to determine the fish climate niches and their future distributions. Body size was used to infer trophic interactions between fish species. Our projections reveal that 54 fish species of 256 endemic and native species included in our analysis would disappear by 2080-2099 from the Mediterranean continental shelf. The number of feeding links between fish species would decrease on 73.4% of the continental shelf. However, the connectance of the overall fish web would increase on average, from 0.26 to 0.29, mainly due to a differential loss rate of feeding links and species richness. This result masks a systematic decrease in predator generality, estimated here as the number of prey species, from 30.0 to 25.4. Therefore, our study highlights large-scale impacts of climate change on marine food-web structure with potential deep consequences on ecosystem functioning. However, these impacts will likely be highly heterogeneous in space, challenging our current understanding of climate change impact on local marine ecosystems.
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Vaccara</s1><s2>Mazara del Vallo 61- 91026</s2><s3>ITA</s3><sZ>4 aut.</sZ></inist:fA14><country>Italie</country></affiliation></author><author><name sortKey="Le Loc H, Francois" sort="Le Loc H, Francois" uniqKey="Le Loc H F" first="François" last="Le Loc'H">François Le Loc'H</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Laboratoire Écosystèmes Marins Exploités UMR 212, IRD-IFREMER-UM2, avenue Jean Monnet BP171</s1><s2>Sète 34203</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>5 aut.</sZ></inist:fA14><country>France</country></affiliation></author><author><name sortKey="Mouillot, David" sort="Mouillot, David" uniqKey="Mouillot D" first="David" last="Mouillot">David Mouillot</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Laboratoire Écologie des Systèmes Marins Côtiers UMR 5119 CNRS-UM2-IRD-IFREMER ECOSYM, Place E. Bataillon</s1><s2>Montpellier 34095</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>6 aut.</sZ></inist:fA14><country>France</country></affiliation><affiliation wicri:level="1"><inist:fA14 i1="07"><s1>ARC Centre of Excellence for Coral Reef Studies, James Cook University</s1><s2>Townsville, Qld 4811</s2><s3>AUS</s3><sZ>6 aut.</sZ></inist:fA14><country>Australie</country></affiliation></author><author><name sortKey="Gravel, Dominique" sort="Gravel, Dominique" uniqKey="Gravel D" first="Dominique" last="Gravel">Dominique Gravel</name><affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Département de biologie, Chimie et Géographie, Université du Québec à Rimouski, 300 Allée des Ursulines</s1><s2>Québec G5L 3A1</s2><s3>CAN</s3><sZ>1 aut.</sZ><sZ>7 aut.</sZ></inist:fA14><country>Canada</country></affiliation></author></analytic><series><title level="j" type="main">Global change biology : (Print)</title><title level="j" type="abbreviated">Glob. chang. biol. : (Print)</title><idno type="ISSN">1354-1013</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Global change biology : (Print)</title><title level="j" type="abbreviated">Glob. chang. biol. : (Print)</title><idno type="ISSN">1354-1013</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Body size</term><term>Climate change</term><term>Distribution range</term><term>Ecological niche</term><term>Food web</term><term>Marine environment</term><term>Mediterranean Sea</term><term>Models</term><term>Spatial distribution</term><term>Trophic structure</term><term>Vulnerability</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Répartition spatiale</term><term>Aire de distribution</term><term>Structure trophique</term><term>Réseau trophique</term><term>Changement climatique</term><term>Taille corporelle</term><term>Niche écologique</term><term>Modèle</term><term>Vulnérabilité</term><term>Milieu marin</term><term>Mer Méditerranée</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Changement climatique</term><term>Milieu marin</term><term>Mer Méditerranée</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Climate change is inducing deep modifications in species geographic ranges worldwide. However, the consequences of such changes on community structure are still poorly understood, particularly the impacts on food-web properties. Here, we propose a new framework, coupling species distribution and trophic models, to predict climate change impacts on food-web structure across the Mediterranean Sea. Sea surface temperature was used to determine the fish climate niches and their future distributions. Body size was used to infer trophic interactions between fish species. Our projections reveal that 54 fish species of 256 endemic and native species included in our analysis would disappear by 2080-2099 from the Mediterranean continental shelf. The number of feeding links between fish species would decrease on 73.4% of the continental shelf. However, the connectance of the overall fish web would increase on average, from 0.26 to 0.29, mainly due to a differential loss rate of feeding links and species richness. This result masks a systematic decrease in predator generality, estimated here as the number of prey species, from 30.0 to 25.4. Therefore, our study highlights large-scale impacts of climate change on marine food-web structure with potential deep consequences on ecosystem functioning. However, these impacts will likely be highly heterogeneous in space, challenging our current understanding of climate change impact on local marine ecosystems.</div></front></TEI><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>1354-1013</s0></fA01><fA03 i2="1"><s0>Glob. chang. biol. : (Print)</s0></fA03><fA05><s2>20</s2></fA05><fA06><s2>3</s2></fA06><fA08 i1="01" i2="1" l="ENG"><s1>From projected species distribution to food-web structure under climate change</s1></fA08><fA11 i1="01" i2="1"><s1>ALBOUY (Camille)</s1></fA11><fA11 i1="02" i2="1"><s1>VELEZ (Laure)</s1></fA11><fA11 i1="03" i2="1"><s1>COLL (Marta)</s1></fA11><fA11 i1="04" i2="1"><s1>COLLOCA (Francesco)</s1></fA11><fA11 i1="05" i2="1"><s1>LE LOC'H (François)</s1></fA11><fA11 i1="06" i2="1"><s1>MOUILLOT (David)</s1></fA11><fA11 i1="07" i2="1"><s1>GRAVEL (Dominique)</s1></fA11><fA14 i1="01"><s1>Laboratoire Écologie des Systèmes Marins Côtiers UMR 5119 CNRS-UM2-IRD-IFREMER ECOSYM, Place E. Bataillon</s1><s2>Montpellier 34095</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>6 aut.</sZ></fA14><fA14 i1="02"><s1>Laboratoire Écosystèmes Marins Exploités UMR 212, IRD-IFREMER-UM2, avenue Jean Monnet BP171</s1><s2>Sète 34203</s2><s3>FRA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ><sZ>5 aut.</sZ></fA14><fA14 i1="03"><s1>Département de biologie, Chimie et Géographie, Université du Québec à Rimouski, 300 Allée des Ursulines</s1><s2>Québec G5L 3A1</s2><s3>CAN</s3><sZ>1 aut.</sZ><sZ>7 aut.</sZ></fA14><fA14 i1="04"><s1>Institut de Ciències del Mar (ICM-CSIC), Spain & Ecopath International Initiative Research Association, Passeig Marítim de la Barceloneta 37-49</s1><s2>Barcelona 08003</s2><s3>ESP</s3><sZ>3 aut.</sZ></fA14><fA14 i1="05"><s1>Department of Biology, Faculty of Science, Dalhousie University, 1355 Oxford Street</s1><s2>Halifax NS B3H4J1</s2><s3>CAN</s3><sZ>3 aut.</sZ></fA14><fA14 i1="06"><s1>Istituto per l'Ambiente Marino Costiero, Consiglio Nazionale delle Ricerche, Via L. Vaccara</s1><s2>Mazara del Vallo 61- 91026</s2><s3>ITA</s3><sZ>4 aut.</sZ></fA14><fA14 i1="07"><s1>ARC Centre of Excellence for Coral Reef Studies, James Cook University</s1><s2>Townsville, Qld 4811</s2><s3>AUS</s3><sZ>6 aut.</sZ></fA14><fA20><s1>730-741</s1></fA20><fA21><s1>2014</s1></fA21><fA23 i1="01"><s0>ENG</s0></fA23><fA43 i1="01"><s1>INIST</s1><s2>27882</s2><s5>354000505756960050</s5></fA43><fA44><s0>0000</s0><s1>© 2014 INIST-CNRS. All rights reserved.</s1></fA44><fA45><s0>1 p.1/4</s0></fA45><fA47 i1="01" i2="1"><s0>14-0063419</s0></fA47><fA60><s1>P</s1></fA60><fA61><s0>A</s0></fA61><fA64 i1="01" i2="1"><s0>Global change biology : (Print)</s0></fA64><fA66 i1="01"><s0>GBR</s0></fA66><fC01 i1="01" l="ENG"><s0>Climate change is inducing deep modifications in species geographic ranges worldwide. However, the consequences of such changes on community structure are still poorly understood, particularly the impacts on food-web properties. Here, we propose a new framework, coupling species distribution and trophic models, to predict climate change impacts on food-web structure across the Mediterranean Sea. Sea surface temperature was used to determine the fish climate niches and their future distributions. Body size was used to infer trophic interactions between fish species. Our projections reveal that 54 fish species of 256 endemic and native species included in our analysis would disappear by 2080-2099 from the Mediterranean continental shelf. The number of feeding links between fish species would decrease on 73.4% of the continental shelf. However, the connectance of the overall fish web would increase on average, from 0.26 to 0.29, mainly due to a differential loss rate of feeding links and species richness. This result masks a systematic decrease in predator generality, estimated here as the number of prey species, from 30.0 to 25.4. Therefore, our study highlights large-scale impacts of climate change on marine food-web structure with potential deep consequences on ecosystem functioning. However, these impacts will likely be highly heterogeneous in space, challenging our current understanding of climate change impact on local marine ecosystems.</s0></fC01><fC02 i1="01" i2="X"><s0>002A14B01</s0></fC02><fC02 i1="02" i2="2"><s0>001E02D10</s0></fC02><fC02 i1="03" i2="X"><s0>002A14B04E</s0></fC02><fC03 i1="01" i2="X" l="FRE"><s0>Répartition spatiale</s0><s5>01</s5></fC03><fC03 i1="01" i2="X" l="ENG"><s0>Spatial distribution</s0><s5>01</s5></fC03><fC03 i1="01" i2="X" l="SPA"><s0>Distribución espacial</s0><s5>01</s5></fC03><fC03 i1="02" i2="X" l="FRE"><s0>Aire de distribution</s0><s5>02</s5></fC03><fC03 i1="02" i2="X" l="ENG"><s0>Distribution range</s0><s5>02</s5></fC03><fC03 i1="02" i2="X" l="SPA"><s0>Area de distribución</s0><s5>02</s5></fC03><fC03 i1="03" i2="X" l="FRE"><s0>Structure trophique</s0><s5>03</s5></fC03><fC03 i1="03" i2="X" l="ENG"><s0>Trophic structure</s0><s5>03</s5></fC03><fC03 i1="03" i2="X" l="SPA"><s0>Estructura trófica</s0><s5>03</s5></fC03><fC03 i1="04" i2="X" l="FRE"><s0>Réseau trophique</s0><s5>04</s5></fC03><fC03 i1="04" i2="X" l="ENG"><s0>Food web</s0><s5>04</s5></fC03><fC03 i1="04" i2="X" l="SPA"><s0>Red trófica</s0><s5>04</s5></fC03><fC03 i1="05" i2="X" l="FRE"><s0>Changement climatique</s0><s5>05</s5></fC03><fC03 i1="05" i2="X" l="ENG"><s0>Climate change</s0><s5>05</s5></fC03><fC03 i1="05" i2="X" l="SPA"><s0>Cambio climático</s0><s5>05</s5></fC03><fC03 i1="06" i2="X" l="FRE"><s0>Taille corporelle</s0><s5>06</s5></fC03><fC03 i1="06" i2="X" l="ENG"><s0>Body size</s0><s5>06</s5></fC03><fC03 i1="06" i2="X" l="SPA"><s0>Talla corporal</s0><s5>06</s5></fC03><fC03 i1="07" i2="X" l="FRE"><s0>Niche écologique</s0><s5>07</s5></fC03><fC03 i1="07" i2="X" l="ENG"><s0>Ecological niche</s0><s5>07</s5></fC03><fC03 i1="07" i2="X" l="SPA"><s0>Nicho ecológico</s0><s5>07</s5></fC03><fC03 i1="08" i2="X" l="FRE"><s0>Modèle</s0><s5>08</s5></fC03><fC03 i1="08" i2="X" l="ENG"><s0>Models</s0><s5>08</s5></fC03><fC03 i1="08" i2="X" l="SPA"><s0>Modelo</s0><s5>08</s5></fC03><fC03 i1="09" i2="X" l="FRE"><s0>Vulnérabilité</s0><s5>09</s5></fC03><fC03 i1="09" i2="X" l="ENG"><s0>Vulnerability</s0><s5>09</s5></fC03><fC03 i1="09" i2="X" l="SPA"><s0>Vulnerabilidad</s0><s5>09</s5></fC03><fC03 i1="10" i2="X" l="FRE"><s0>Milieu marin</s0><s5>10</s5></fC03><fC03 i1="10" i2="X" l="ENG"><s0>Marine environment</s0><s5>10</s5></fC03><fC03 i1="10" i2="X" l="SPA"><s0>Medio marino</s0><s5>10</s5></fC03><fC03 i1="11" i2="X" l="FRE"><s0>Mer Méditerranée</s0><s2>NG</s2><s5>19</s5></fC03><fC03 i1="11" i2="X" l="ENG"><s0>Mediterranean Sea</s0><s2>NG</s2><s5>19</s5></fC03><fC03 i1="11" i2="X" l="SPA"><s0>Mar Mediterráneo</s0><s2>NG</s2><s5>19</s5></fC03><fC07 i1="01" i2="X" l="FRE"><s0>Répartition géographique</s0></fC07><fC07 i1="01" i2="X" l="ENG"><s0>Geographic distribution</s0></fC07><fC07 i1="01" i2="X" l="SPA"><s0>Distribución geográfica</s0></fC07><fC07 i1="02" i2="X" l="FRE"><s0>Climatologie dynamique</s0></fC07><fC07 i1="02" i2="X" l="ENG"><s0>Dynamical climatology</s0></fC07><fC07 i1="02" i2="X" l="SPA"><s0>Climatología dinámica</s0></fC07><fN21><s1>090</s1></fN21><fN44 i1="01"><s1>OTO</s1></fN44><fN82><s1>OTO</s1></fN82></pA></standard></inist></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= From projected species distribution to food-web structure under climate change
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