Literature DB >> 18051646

On the choice of statistical models for estimating occurrence and extinction from animal surveys.

Robert M Dorazio1.   

Abstract

In surveys of natural animal populations the number of animals that are present and available to be detected at a sample location is often low, resulting in few or no detections. Low detection frequencies are especially common in surveys of imperiled species; however, the choice of sampling method and protocol also may influence the size of the population that is vulnerable to detection. In these circumstances, probabilities of animal occurrence and extinction will generally be estimated more accurately if the models used in data analysis account for differences in abundance among sample locations and for the dependence between site-specific abundance and detection. Simulation experiments are used to illustrate conditions wherein these types of models can be expected to outperform alternative estimators of population site occupancy and extinction.

Mesh:

Year:  2007        PMID: 18051646     DOI: 10.1890/07-0006.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  3 in total

1.  When is a species declining? Optimizing survey effort to detect population changes in reptiles.

Authors:  David Sewell; Gurutzeta Guillera-Arroita; Richard A Griffiths; Trevor J C Beebee
Journal:  PLoS One       Date:  2012-08-22       Impact factor: 3.240

2.  Population size influences amphibian detection probability: implications for biodiversity monitoring programs.

Authors:  Lorenzo G Tanadini; Benedikt R Schmidt
Journal:  PLoS One       Date:  2011-12-02       Impact factor: 3.240

3.  Ecological effects of the invasive giant madagascar day gecko on endemic mauritian geckos: applications of binomial-mixture and species distribution models.

Authors:  Steeves Buckland; Nik C Cole; Jesús Aguirre-Gutiérrez; Laura E Gallagher; Sion M Henshaw; Aurélien Besnard; Rachel M Tucker; Vishnu Bachraz; Kevin Ruhomaun; Stephen Harris
Journal:  PLoS One       Date:  2014-04-30       Impact factor: 3.240

  3 in total

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