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 in | Ecology letters Vol. 14; no. 10; p. 1043 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
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] |
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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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Title | Combining [alpha]- and [beta]-diversity models to fill gaps in our knowledge of biodiversity |
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