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Analysis and Management of Animal Populations

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The article was published on 2002-05-01 and is currently open access. It has received 2259 citations till now.

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unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance

TL;DR: The R package unmarked provides a unified modeling framework for ecological research, including tools for data exploration, model fitting, model criticism, post-hoc analysis, and model comparison.
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Estimating site occupancy, colonization, and local extinction when a species is detected imperfectly

TL;DR: In this article, the authors present a model that enables direct estimation of these parameters when the probability of detecting the species is less than 1. The model does not require any assumptions of process stationarity, as do some previous methods, but does require detection/nondetection data to be collected in a manner similar to Pollock's robust design as used in mark-recapture studies.
Journal ArticleDOI

N‐Mixture Models for Estimating Population Size from Spatially Replicated Counts

TL;DR: A class of models (N-mixture models) which allow for estimation of population size from site-specific population sizes, N, as independent random variables distributed according to some mixing distribution (e.g., Poisson).
Journal ArticleDOI

Monitoring of biological diversity in space and time

TL;DR: This work reviews recent developments in methods and designs that aim to integrate sources of error to provide unbiased estimates of change in biological diversity and to suggest the potential causes.
Journal ArticleDOI

Estimating abundance from repeated presence–absence data or point counts

TL;DR: In this article, an approach for estimating occupancy rate or the proportion of area occupied when heterogeneity in detection probability exists as a result of variation in abundance of the organism under study is described.
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