Combining [alpha]- and [beta]-diversity models to fill gaps in our knowledge of biodiversity

Ecology Letters (2011) 14: 1043-1051 Abstract For many taxonomic groups, sparse information on the spatial distribution of biodiversity limits our capacity to answer a variety of theoretical and applied ecological questions. Modelling community-level attributes (α- and β-diversity) over space can he...

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Published inEcology letters Vol. 14; no. 10; p. 1043
Main Authors Mokany, Karel, Harwood, Thomas D, Overton, Jacob McC, Barker, Gary M, Ferrier, Simon
Format Journal Article
LanguageEnglish
Published Paris Blackwell Publishing Ltd 01.10.2011
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Abstract Ecology Letters (2011) 14: 1043-1051 Abstract For many taxonomic groups, sparse information on the spatial distribution of biodiversity limits our capacity to answer a variety of theoretical and applied ecological questions. Modelling community-level attributes (α- and β-diversity) over space can help overcome this shortfall in our knowledge, yet individually, predictions of α- or β-diversity have their limitations. In this study, we present a novel approach to combining models of α- and β-diversity, with sparse survey data, to predict the community composition for all sites in a region. We applied our new approach to predict land snail community composition across New Zealand. As we demonstrate, these predictions of metacommunity composition have diverse potential applications, including predicting γ-diversity for any set of sites, identifying target areas for conservation reserves, locating priority areas for future ecological surveys, generating realistic compositional data for metacommunity models and simultaneously predicting the distribution of all species in a taxon consistent with known community diversity patterns. [PUBLICATION ABSTRACT]
AbstractList Ecology Letters (2011) 14: 1043-1051 Abstract For many taxonomic groups, sparse information on the spatial distribution of biodiversity limits our capacity to answer a variety of theoretical and applied ecological questions. Modelling community-level attributes (α- and β-diversity) over space can help overcome this shortfall in our knowledge, yet individually, predictions of α- or β-diversity have their limitations. In this study, we present a novel approach to combining models of α- and β-diversity, with sparse survey data, to predict the community composition for all sites in a region. We applied our new approach to predict land snail community composition across New Zealand. As we demonstrate, these predictions of metacommunity composition have diverse potential applications, including predicting γ-diversity for any set of sites, identifying target areas for conservation reserves, locating priority areas for future ecological surveys, generating realistic compositional data for metacommunity models and simultaneously predicting the distribution of all species in a taxon consistent with known community diversity patterns. [PUBLICATION ABSTRACT]
Author Mokany, Karel
Ferrier, Simon
Harwood, Thomas D
Overton, Jacob McC
Barker, Gary M
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Snippet Ecology Letters (2011) 14: 1043-1051 Abstract For many taxonomic groups, sparse information on the spatial distribution of biodiversity limits our capacity to...
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StartPage 1043
SubjectTerms Biodiversity
Community ecology
Mathematical models
Title Combining [alpha]- and [beta]-diversity models to fill gaps in our knowledge of biodiversity
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