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Abstract Details
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Activity Number:
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79
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Type:
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Contributed
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Date/Time:
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Sunday, July 31, 2011 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistical Consulting
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| Abstract - #302606 |
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Title:
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Bayesian Partition Of Butterfly Species
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Author(s):
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Jing Zhang*+ and Thomas O. Crist
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Companies:
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Miami University and Miami University
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Address:
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, Oxford, OH, ,
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Keywords:
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Bayesian ;
partition of species diversity
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Abstract:
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In ecology and zoology study, the additive partitioning of species diversity has been shown to be widely applicable to different kinds of sampling regimes at multiple spatial and temporal scales. Here, we establish a Bayesian hierarchical model to predict the richness of different species of butterflies and build the corresponding diversity partitions based on these predictions to decribe the patterns of habitat occupancy, rarefaction, and species-area relationships. We show that both the observed partitions of species richness and our predicted partitions could be applied to determine the relative contributions of factors influencing the alpha-diversity within habitat fragments and the beta-diversity among habitat fragments.
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