Open models for removal data

Matechou, Eleni and McCrea, Rachel S. and Morgan, Byron J. T. and Nash, Darryn and Griffiths, Richard A. (2016) Open models for removal data. Annals of Applied Statistics, . ISSN 1932-6157. E-ISSN 1941-7330. (doi:https://doi.org/10.1214/16-AOAS949) (Full text available)

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http://dx.doi.org/10.1214/16-AOAS949

Abstract

Individuals of protected species, such as amphibians and reptiles, often need to be removed from sites before development commences. Usually, the population is considered to be closed. All individuals are assumed to i) be present and available for detection at the start of the study period and ii) remain at the site until the end of the study, unless they are detected. However, the assumption of population closure is not always valid. We present new removal models which allow for population renewal through birth and/or immigration, and population depletion through sampling as well as through death/emigration. When appropriate, productivity may be estimated and a Bayesian approach allows the estimation of the probability of total population depletion. We demonstrate the performance of the models using data on common lizards, Zootoca vivipara, and great crested newts, Triturus cristatus.

Item Type: Article
Projects: Projects 25921 not found.
Subjects: Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics
Divisions: Faculties > Sciences > School of Mathematics Statistics and Actuarial Science > Statistics
Faculties > Social Sciences > School of Anthropology and Conservation > DICE (Durrell Institute of Conservation and Ecology)
Depositing User: Eleni Matechou
Date Deposited: 01 Jun 2016 07:44 UTC
Last Modified: 14 Nov 2016 15:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/55734 (The current URI for this page, for reference purposes)
ORCiD (Matechou, Eleni): http://orcid.org/0000-0003-3626-844X
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