The challenge of delineating biogeographical regions: nestedness matters for Indo‐Pacific coral reef fishes
Identifieur interne : 004938 ( Main/Exploration ); précédent : 004937; suivant : 004939The challenge of delineating biogeographical regions: nestedness matters for Indo‐Pacific coral reef fishes
Auteurs : David Mouillot [France, Australie] ; Julien De Bortoli [France] ; Fabien Leprieur [France] ; Valeriano Parravicini [France] ; Michel Kulbicki [France] ; David R. Bellwood [Australie]Source :
- Journal of Biogeography [ 0305-0270 ] ; 2013-12.
Descripteurs français
- Pascal (Inist)
- Wicri :
- geographic : Australie, Madagascar, Maldives.
- topic : Biodiversité, écologie, Chiffre d'affaires.
English descriptors
- KwdEn :
- Animal community, Assemblage, Australia, Baselga, Bellwood, Beta diversity, Biodiversity, Biodiversity hotspots, Biogeographical, Biogeographical boundaries, Biogeographical regions, Biogeographical units, Biogeography, Bjac, Bjne, Bjtu, Bnes, Bsim, Bsor, Chaetodontidae, Cnidaria, Complete index, Coral, Coral reef, Coral reefs, Cowman, Cowman bellwood, Delineation, Different methods, Dissimilarity, Dissimilarity index, Dissimilarity indices, Dissimilarity matrices, Dissimilarity values, Ecology, Ecology letters, Endemicity, Evolutionary history, Geographical distance, Global ecology, Habitat area, Historical biogeography, Hotspot, Jaccard, Jaccard dissimilarity index, Jaccard dissimilarity indices, Jaccard indices, Jetz, John wiley sons, Kreft, Kreft jetz, Labridae, Madagascar, Maldives, Mantel tests, Matrix, Morrone, Mouillot, Nestedness, Nestedness component, Nestedness components, Parsimony, Parsimony analysis, Partitioning, Pisces, Pomacentridae, Reef animal, Regional delineations, Richness, Richness gradients, Shes, Spatial patterns, Spatial turnover, Species assemblages, Species replacement, Species richness, Species turnover, Taxon, Turnover, Turnover component, Turnover components.
- Teeft :
- Assemblage, Baselga, Bellwood, Beta diversity, Biodiversity, Biodiversity hotspots, Biogeographical, Biogeographical boundaries, Biogeographical regions, Biogeographical units, Biogeography, Bjac, Bjne, Bjtu, Bnes, Bsim, Bsor, Chaetodontidae, Complete index, Coral, Coral reef, Coral reefs, Cowman, Cowman bellwood, Delineation, Different methods, Dissimilarity, Dissimilarity index, Dissimilarity indices, Dissimilarity matrices, Dissimilarity values, Ecology, Ecology letters, Endemicity, Evolutionary history, Geographical distance, Global ecology, Habitat area, Historical biogeography, Hotspot, Jaccard, Jaccard dissimilarity index, Jaccard dissimilarity indices, Jaccard indices, Jetz, John wiley sons, Kreft, Kreft jetz, Labridae, Madagascar, Maldives, Mantel tests, Matrix, Morrone, Mouillot, Nestedness, Nestedness component, Nestedness components, Parsimony, Parsimony analysis, Partitioning, Pomacentridae, Regional delineations, Richness, Richness gradients, Shes, Spatial patterns, Spatial turnover, Species assemblages, Species replacement, Species richness, Species turnover, Taxon, Turnover, Turnover component, Turnover components.
Abstract
The delineation of regions is a critical procedure in biogeography, but there is still no consensus about the best approach. Traditionally, a compositional dissimilarity index and a clustering algorithm are used to partition locations into regions. However, the choice of index and algorithm may have a profound impact on the final result, particularly when locations display different levels of species richness and when they are nested within each other. Our objective was to estimate the influence of species nestedness among locations on the delineation of biogeographical regions.
Url:
DOI: 10.1111/jbi.12194
Affiliations:
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Le document en format XML
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type="ISSN">0305-0270</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animal community</term><term>Assemblage</term><term>Australia</term><term>Baselga</term><term>Bellwood</term><term>Beta diversity</term><term>Biodiversity</term><term>Biodiversity hotspots</term><term>Biogeographical</term><term>Biogeographical boundaries</term><term>Biogeographical regions</term><term>Biogeographical units</term><term>Biogeography</term><term>Bjac</term><term>Bjne</term><term>Bjtu</term><term>Bnes</term><term>Bsim</term><term>Bsor</term><term>Chaetodontidae</term><term>Cnidaria</term><term>Complete index</term><term>Coral</term><term>Coral reef</term><term>Coral reefs</term><term>Cowman</term><term>Cowman bellwood</term><term>Delineation</term><term>Different methods</term><term>Dissimilarity</term><term>Dissimilarity index</term><term>Dissimilarity indices</term><term>Dissimilarity matrices</term><term>Dissimilarity 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patterns</term><term>Spatial turnover</term><term>Species assemblages</term><term>Species replacement</term><term>Species richness</term><term>Species turnover</term><term>Taxon</term><term>Turnover</term><term>Turnover component</term><term>Turnover components</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Animal récifal</term><term>Australie</term><term>Biogéographie</term><term>Cnidaria</term><term>Communauté animale</term><term>Diversité bêta</term><term>Nestedness</term><term>Pisces</term><term>Richesse spécifique</term><term>Récif corallien</term><term>Turnover</term></keywords><keywords scheme="Teeft" xml:lang="en"><term>Assemblage</term><term>Baselga</term><term>Bellwood</term><term>Beta diversity</term><term>Biodiversity</term><term>Biodiversity hotspots</term><term>Biogeographical</term><term>Biogeographical boundaries</term><term>Biogeographical regions</term><term>Biogeographical 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jetz</term><term>Labridae</term><term>Madagascar</term><term>Maldives</term><term>Mantel tests</term><term>Matrix</term><term>Morrone</term><term>Mouillot</term><term>Nestedness</term><term>Nestedness component</term><term>Nestedness components</term><term>Parsimony</term><term>Parsimony analysis</term><term>Partitioning</term><term>Pomacentridae</term><term>Regional delineations</term><term>Richness</term><term>Richness gradients</term><term>Shes</term><term>Spatial patterns</term><term>Spatial turnover</term><term>Species assemblages</term><term>Species replacement</term><term>Species richness</term><term>Species turnover</term><term>Taxon</term><term>Turnover</term><term>Turnover component</term><term>Turnover components</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Australie</term><term>Madagascar</term><term>Maldives</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Biodiversité</term><term>écologie</term><term>Chiffre d'affaires</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract">The delineation of regions is a critical procedure in biogeography, but there is still no consensus about the best approach. Traditionally, a compositional dissimilarity index and a clustering algorithm are used to partition locations into regions. However, the choice of index and algorithm may have a profound impact on the final result, particularly when locations display different levels of species richness and when they are nested within each other. Our objective was to estimate the influence of species nestedness among locations on the delineation of biogeographical regions.</div></front></TEI><affiliations><list><country><li>Australie</li><li>France</li></country><region><li>Languedoc-Roussillon</li><li>Occitanie (région administrative)</li></region><settlement><li>Banyuls/mer</li><li>Montpellier</li></settlement></list><tree><country name="France"><region name="Occitanie (région administrative)"><name sortKey="Mouillot, David" sort="Mouillot, David" uniqKey="Mouillot D" first="David" last="Mouillot">David Mouillot</name></region><name sortKey="De Bortoli, Julien" sort="De Bortoli, Julien" uniqKey="De Bortoli J" first="Julien" last="De Bortoli">Julien De Bortoli</name><name sortKey="Kulbicki, Michel" sort="Kulbicki, Michel" uniqKey="Kulbicki M" first="Michel" last="Kulbicki">Michel Kulbicki</name><name sortKey="Kulbicki, Michel" sort="Kulbicki, Michel" uniqKey="Kulbicki M" first="Michel" last="Kulbicki">Michel Kulbicki</name><name sortKey="Leprieur, Fabien" sort="Leprieur, Fabien" uniqKey="Leprieur F" first="Fabien" last="Leprieur">Fabien Leprieur</name><name sortKey="Mouillot, David" sort="Mouillot, David" uniqKey="Mouillot D" first="David" last="Mouillot">David Mouillot</name><name sortKey="Parravicini, Valeriano" sort="Parravicini, Valeriano" uniqKey="Parravicini V" first="Valeriano" last="Parravicini">Valeriano Parravicini</name><name sortKey="Parravicini, Valeriano" sort="Parravicini, Valeriano" uniqKey="Parravicini V" first="Valeriano" last="Parravicini">Valeriano Parravicini</name><name sortKey="Parravicini, Valeriano" sort="Parravicini, Valeriano" uniqKey="Parravicini V" first="Valeriano" last="Parravicini">Valeriano Parravicini</name></country><country name="Australie"><noRegion><name sortKey="Mouillot, David" sort="Mouillot, David" uniqKey="Mouillot D" first="David" last="Mouillot">David Mouillot</name></noRegion><name sortKey="Bellwood, David R" sort="Bellwood, David R" uniqKey="Bellwood D" first="David R." last="Bellwood">David R. 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