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Cited by 567

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Estimating Size and Composition of Biological Communities by Modeling the Occurrence of Species

Dorazio, Robert M, Royle, J. Andrew·2005·Journal of the American Statistical Association

Abstract

We develop a model that uses repeated observations of a biological community to estimate the number and composition of species in the community. Estimators of community-level attributes are constructed from model-based estimators of occurrence of individual species that incorporate imperfect detection of individuals. Data from the North American Breeding Bird Survey are analyzed to illustrate the variety of ecologically important quantities that are easily constructed and estimated using our model-based estimators of species occurrence. In particular, we compute site-specific estimates of species richness that honor classical notions of species-area relationships. We suggest extensions of our model to estimate maps of occurrence of individual species and to compute inferences related to the temporal and spatial dynamics of biological communities.

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Crossref · 10.1198/016214505000000015

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Metadata

Authors
Dorazio, R. M., & Royle, J. A.
Venue
Journal of the American Statistical Association
Published
2005-06
Volume
100
Issue
470
Pages
389-398
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
OpenAlex
W2042204548
Cited by
567
References
41
FWCI
9.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Estimating Size and Composition of Biological Communities by Modeling the Occurrence of Species. https://app.cochat.ai/papers/10.1198/016214505000000015
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Dorazio, R. M., & Royle, J. A. (2005). Estimating Size and Composition of Biological Communities by Modeling the Occurrence of Species. Journal of the American Statistical Association. https://doi.org/10.1198/016214505000000015

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.