EsturgeonV1, PascalFrancis, Corpus, bibRecord, 000101

Global warming impacts and conservation responses for the critically endangered European Atlantic sturgeon

Identifieur interne : 000101 ( PascalFrancis/Corpus ); précédent : 000100; suivant : 000102

Global warming impacts and conservation responses for the critically endangered European Atlantic sturgeon

Auteurs : Géraldine Lassalle ; Philippe Crouzet ; Jörn Gessner ; Eric Rochard

Source :

Biological conservation [ 0006-3207 ] ; 2010.

RBID : Pascal:10-0498988

Descripteurs français

Pascal (Inist)
- Changement global, Réchauffement, Changement climatique, Conservation, Espèce menacée, Réhabilitation, Aire de distribution, Arbre décision, Analyse régression, Modèle prévision, Protection environnement, Acipenser sturio, Océan Atlantique Nord Est Europe.

English descriptors

KwdEn :
- Acipenser sturio, Climate change, Conservation, Decision tree, Distribution range, Endangered species, Environmental protection, European Atlantic, Forecast model, Global change, Regression analysis, Rehabilitation, Warming.

Abstract

Due to anthropogenic actions, species have become endangered or have been driven to the verge of extinction, requiring conservation plans to be developed and implemented. These plans include measures to protect and enhance remaining populations and to reintroduce populations within the native ranges. However, future habitat suitability in the face of climate change is rarely assessed, despite the fact that it could compromise conservation opportunities. It is attempted to carry this task out for the critically endangered European Atlantic sturgeon (Acipenser sturio). Species presence/absence was documented for 196 basins between 1750 and 1850 over the Western Palearctic. A predictive distribution model was established from this database using Boosted Regression Trees (BRT) and a pool of relevant environmental variables. Projections were performed at two time-steps, 2050 and 2100, using the HadCM3 Global Climate Model (GCM) and the A2 and A1F1 emissions scenarios. The BRT model incorporated two general climatic descriptors, summer precipitation and annual air temperature, average slope served as a topographic predictor, and marine provinces as a macroecological variable. The statistical model performance allowed projections with the predictive deviance being 29 ± 2.80 and the Area Under the Curve (AUC) being 0.86 ± 0.02. The results obtained are in accordance with the species thermal preferences and with its hydrological habitat requirements. Most of the former sturgeon distribution range was assessed as being strongly affected by climate change, especially basins along the southern limit of its range. On this basis, proposals to integrate the climate change dimension into conservation strategy are discussed.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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Format Inist (serveur)

NO :	PASCAL 10-0498988 INIST
ET :	Global warming impacts and conservation responses for the critically endangered European Atlantic sturgeon
AU :	LASSALLE (Géraldine); CROUZET (Philippe); GESSNER (Jörn); ROCHARD (Eric)
AF :	Cemagref, Agricultural and Environmental Engineering Research Institute, UR EPBX, 50 Avenue de Verdun/33612 Cestas/France (1 aut., 4 aut.); EEA, European Environment Agency, Kongens Nytorv 6/1050 Copenhagen/Danemark (2 aut.); IGB, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Muggelseedamm 310/12587 Berlin/Allemagne (3 aut.)
DT :	Publication en série; Niveau analytique
SO :	Biological conservation; ISSN 0006-3207; Coden BICOBK; Royaume-Uni; Da. 2010; Vol. 143; No. 11; Pp. 2441-2452; Bibl. 1 p.1/2
LA :	Anglais
EA :	Due to anthropogenic actions, species have become endangered or have been driven to the verge of extinction, requiring conservation plans to be developed and implemented. These plans include measures to protect and enhance remaining populations and to reintroduce populations within the native ranges. However, future habitat suitability in the face of climate change is rarely assessed, despite the fact that it could compromise conservation opportunities. It is attempted to carry this task out for the critically endangered European Atlantic sturgeon (Acipenser sturio). Species presence/absence was documented for 196 basins between 1750 and 1850 over the Western Palearctic. A predictive distribution model was established from this database using Boosted Regression Trees (BRT) and a pool of relevant environmental variables. Projections were performed at two time-steps, 2050 and 2100, using the HadCM3 Global Climate Model (GCM) and the A2 and A1F1 emissions scenarios. The BRT model incorporated two general climatic descriptors, summer precipitation and annual air temperature, average slope served as a topographic predictor, and marine provinces as a macroecological variable. The statistical model performance allowed projections with the predictive deviance being 29 ± 2.80 and the Area Under the Curve (AUC) being 0.86 ± 0.02. The results obtained are in accordance with the species thermal preferences and with its hydrological habitat requirements. Most of the former sturgeon distribution range was assessed as being strongly affected by climate change, especially basins along the southern limit of its range. On this basis, proposals to integrate the climate change dimension into conservation strategy are discussed.
CC :	002A14D02B; 001E02D10
FD :	Changement global; Réchauffement; Changement climatique; Conservation; Espèce menacée; Réhabilitation; Aire de distribution; Arbre décision; Analyse régression; Modèle prévision; Protection environnement; Acipenser sturio; Océan Atlantique Nord Est Europe
FG :	Climatologie dynamique; Répartition géographique; Pisces; Vertebrata; Acipenseridae
ED :	Global change; Warming; Climate change; Conservation; Endangered species; Rehabilitation; Distribution range; Decision tree; Regression analysis; Forecast model; Environmental protection; Acipenser sturio; European Atlantic
EG :	Dynamical climatology; Geographic distribution; Pisces; Vertebrata
SD :	Cambio global; Calefacción; Cambio climático; Conservación; Especie amenazada; Rehabilitación; Area de distribución; Arbol decisión; Análisis regresión; Modelo previsión; Protección medio ambiente; Acipenser sturio
LO :	INIST-14169.354000192482110040
ID :	10-0498988

Links to Exploration step

Pascal:10-0498988

Le document en format XML

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<front><div type="abstract" xml:lang="en">Due to anthropogenic actions, species have become endangered or have been driven to the verge of extinction, requiring conservation plans to be developed and implemented. These plans include measures to protect and enhance remaining populations and to reintroduce populations within the native ranges. However, future habitat suitability in the face of climate change is rarely assessed, despite the fact that it could compromise conservation opportunities. It is attempted to carry this task out for the critically endangered European Atlantic sturgeon (Acipenser sturio). Species presence/absence was documented for 196 basins between 1750 and 1850 over the Western Palearctic. A predictive distribution model was established from this database using Boosted Regression Trees (BRT) and a pool of relevant environmental variables. Projections were performed at two time-steps, 2050 and 2100, using the HadCM3 Global Climate Model (GCM) and the A2 and A1F1 emissions scenarios. The BRT model incorporated two general climatic descriptors, summer precipitation and annual air temperature, average slope served as a topographic predictor, and marine provinces as a macroecological variable. The statistical model performance allowed projections with the predictive deviance being 29 ± 2.80 and the Area Under the Curve (AUC) being 0.86 ± 0.02. The results obtained are in accordance with the species thermal preferences and with its hydrological habitat requirements. Most of the former sturgeon distribution range was assessed as being strongly affected by climate change, especially basins along the southern limit of its range. On this basis, proposals to integrate the climate change dimension into conservation strategy are discussed.</div>
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<s5>02</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Changement climatique</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Climate change</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Cambio climático</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Conservation</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Conservation</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Conservación</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Espèce menacée</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Endangered species</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Especie amenazada</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Réhabilitation</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Rehabilitation</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Rehabilitación</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Aire de distribution</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Distribution range</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Area de distribución</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Arbre décision</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Decision tree</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Arbol decisión</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Analyse régression</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Regression analysis</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Análisis regresión</s0>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Modèle prévision</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Forecast model</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Modelo previsión</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Protection environnement</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Environmental protection</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Protección medio ambiente</s0>
<s5>11</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Acipenser sturio</s0>
<s2>NS</s2>
<s5>49</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Acipenser sturio</s0>
<s2>NS</s2>
<s5>49</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Acipenser sturio</s0>
<s2>NS</s2>
<s5>49</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Océan Atlantique Nord Est Europe</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG"><s0>European Atlantic</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE"><s0>Climatologie dynamique</s0>
</fC07>
<fC07 i1="01" i2="X" l="ENG"><s0>Dynamical climatology</s0>
</fC07>
<fC07 i1="01" i2="X" l="SPA"><s0>Climatología dinámica</s0>
</fC07>
<fC07 i1="02" i2="X" l="FRE"><s0>Répartition géographique</s0>
</fC07>
<fC07 i1="02" i2="X" l="ENG"><s0>Geographic distribution</s0>
</fC07>
<fC07 i1="02" i2="X" l="SPA"><s0>Distribución geográfica</s0>
</fC07>
<fC07 i1="03" i2="X" l="FRE"><s0>Pisces</s0>
<s2>NS</s2>
<s5>29</s5>
</fC07>
<fC07 i1="03" i2="X" l="ENG"><s0>Pisces</s0>
<s2>NS</s2>
<s5>29</s5>
</fC07>
<fC07 i1="03" i2="X" l="SPA"><s0>Pisces</s0>
<s2>NS</s2>
<s5>29</s5>
</fC07>
<fC07 i1="04" i2="X" l="FRE"><s0>Vertebrata</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="04" i2="X" l="ENG"><s0>Vertebrata</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="04" i2="X" l="SPA"><s0>Vertebrata</s0>
<s2>NS</s2>
</fC07>
<fC07 i1="05" i2="X" l="FRE"><s0>Acipenseridae</s0>
<s4>INC</s4>
<s5>70</s5>
</fC07>
<fN21><s1>333</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
<server><NO>PASCAL 10-0498988 INIST</NO>
<ET>Global warming impacts and conservation responses for the critically endangered European Atlantic sturgeon</ET>
<AU>LASSALLE (Géraldine); CROUZET (Philippe); GESSNER (Jörn); ROCHARD (Eric)</AU>
<AF>Cemagref, Agricultural and Environmental Engineering Research Institute, UR EPBX, 50 Avenue de Verdun/33612 Cestas/France (1 aut., 4 aut.); EEA, European Environment Agency, Kongens Nytorv 6/1050 Copenhagen/Danemark (2 aut.); IGB, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Muggelseedamm 310/12587 Berlin/Allemagne (3 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Biological conservation; ISSN 0006-3207; Coden BICOBK; Royaume-Uni; Da. 2010; Vol. 143; No. 11; Pp. 2441-2452; Bibl. 1 p.1/2</SO>
<LA>Anglais</LA>
<EA>Due to anthropogenic actions, species have become endangered or have been driven to the verge of extinction, requiring conservation plans to be developed and implemented. These plans include measures to protect and enhance remaining populations and to reintroduce populations within the native ranges. However, future habitat suitability in the face of climate change is rarely assessed, despite the fact that it could compromise conservation opportunities. It is attempted to carry this task out for the critically endangered European Atlantic sturgeon (Acipenser sturio). Species presence/absence was documented for 196 basins between 1750 and 1850 over the Western Palearctic. A predictive distribution model was established from this database using Boosted Regression Trees (BRT) and a pool of relevant environmental variables. Projections were performed at two time-steps, 2050 and 2100, using the HadCM3 Global Climate Model (GCM) and the A2 and A1F1 emissions scenarios. The BRT model incorporated two general climatic descriptors, summer precipitation and annual air temperature, average slope served as a topographic predictor, and marine provinces as a macroecological variable. The statistical model performance allowed projections with the predictive deviance being 29 ± 2.80 and the Area Under the Curve (AUC) being 0.86 ± 0.02. The results obtained are in accordance with the species thermal preferences and with its hydrological habitat requirements. Most of the former sturgeon distribution range was assessed as being strongly affected by climate change, especially basins along the southern limit of its range. On this basis, proposals to integrate the climate change dimension into conservation strategy are discussed.</EA>
<CC>002A14D02B; 001E02D10</CC>
<FD>Changement global; Réchauffement; Changement climatique; Conservation; Espèce menacée; Réhabilitation; Aire de distribution; Arbre décision; Analyse régression; Modèle prévision; Protection environnement; Acipenser sturio; Océan Atlantique Nord Est Europe</FD>
<FG>Climatologie dynamique; Répartition géographique; Pisces; Vertebrata; Acipenseridae</FG>
<ED>Global change; Warming; Climate change; Conservation; Endangered species; Rehabilitation; Distribution range; Decision tree; Regression analysis; Forecast model; Environmental protection; Acipenser sturio; European Atlantic</ED>
<EG>Dynamical climatology; Geographic distribution; Pisces; Vertebrata</EG>
<SD>Cambio global; Calefacción; Cambio climático; Conservación; Especie amenazada; Rehabilitación; Area de distribución; Arbol decisión; Análisis regresión; Modelo previsión; Protección medio ambiente; Acipenser sturio</SD>
<LO>INIST-14169.354000192482110040</LO>
<ID>10-0498988</ID>
</server>
</inist>
</record>

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Global warming impacts and conservation responses for the critically endangered European Atlantic sturgeon

Global warming impacts and conservation responses for the critically endangered European Atlantic sturgeon

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