Matechou, Eleni, McCrea, Rachel S., Morgan, Byron J. T., Nash, Darryn J., Griffiths, Richard A. (2016) Open models for removal data. Annals of Applied Statistics, 10 (3). pp. 1572-1589. ISSN 1932-6157. E-ISSN 1941-7330. (doi:10.1214/16-AOAS949) (KAR id:55734)
PDF
Publisher pdf
Language: English |
|
Download this file (PDF/1MB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: 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 |
---|---|
DOI/Identification number: | 10.1214/16-AOAS949 |
Uncontrolled keywords: | SEAK |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics |
Divisions: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science Divisions > Division of Human and Social Sciences > School of Anthropology and Conservation > DICE (Durrell Institute of Conservation and Ecology) |
Funders: | NERC Environmental Omics Facility (https://ror.org/036g3b009) |
Depositing User: | Eleni Matechou |
Date Deposited: | 01 Jun 2016 07:44 UTC |
Last Modified: | 05 Nov 2024 10:45 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/55734 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):