Data from: A hierarchical distance sampling model to estimate abundance and covariate associations of species and communities

Rahel Sollmann, Beth Gardner, Kathryn A. Williams, Andrew T. Gilbert & Richard R. Veit
Distance sampling is a common survey method in wildlife studies, because it allows accounting for imperfect detection. The framework has been extended to hierarchical distance sampling (HDS), which accommodates the modelling of abundance as a function of covariates, but rare and elusive species may not yield enough observations to fit such a model. We integrate HDS into a community modelling framework that accommodates multi-species spatially replicated distance sampling data. The model allows species-specific parameters, but...

Registration Year

  • 2015
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Resource Types

  • Dataset
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Affiliations

  • Biodiversity Research Institute
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  • College of Staten Island
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  • North Carolina State University
    1