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Removal models accounting for temporary emigration
Removal of protected species from sites scheduled for development is often a legal requirement in order to minimize the loss of biodiversity. The assumption of closure in the classic removal model will be violated if individuals become temporarily undetectable, a phenomenon commonly exhibited by rep...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379670/ https://www.ncbi.nlm.nih.gov/pubmed/30079539 http://dx.doi.org/10.1111/biom.12961 |
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author | Zhou, Ming McCrea, Rachel S. Matechou, Eleni Cole, Diana J. Griffiths, Richard A. |
author_facet | Zhou, Ming McCrea, Rachel S. Matechou, Eleni Cole, Diana J. Griffiths, Richard A. |
author_sort | Zhou, Ming |
collection | PubMed |
description | Removal of protected species from sites scheduled for development is often a legal requirement in order to minimize the loss of biodiversity. The assumption of closure in the classic removal model will be violated if individuals become temporarily undetectable, a phenomenon commonly exhibited by reptiles and amphibians. Temporary emigration can be modeled using a multievent framework with a partial hidden process, where the underlying state process describes the movement pattern of animals between the survey area and an area outside of the study. We present a multievent removal model within a robust design framework which allows for individuals becoming temporarily unavailable for detection. We demonstrate how to investigate parameter redundancy in the model. Results suggest the use of the robust design and certain forms of constraints overcome issues of parameter redundancy. We show which combinations of parameters are estimable when the robust design reduces to a single secondary capture occasion within each primary sampling period. Additionally, we explore the benefit of the robust design on the precision of parameters using simulation. We demonstrate that the use of the robust design is highly recommended when sampling removal data. We apply our model to removal data of common lizards, Zootoca vivipara, and for this application precision of parameter estimates is further improved using an integrated model. |
format | Online Article Text |
id | pubmed-7379670 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73796702020-07-27 Removal models accounting for temporary emigration Zhou, Ming McCrea, Rachel S. Matechou, Eleni Cole, Diana J. Griffiths, Richard A. Biometrics Biometric Methodology Removal of protected species from sites scheduled for development is often a legal requirement in order to minimize the loss of biodiversity. The assumption of closure in the classic removal model will be violated if individuals become temporarily undetectable, a phenomenon commonly exhibited by reptiles and amphibians. Temporary emigration can be modeled using a multievent framework with a partial hidden process, where the underlying state process describes the movement pattern of animals between the survey area and an area outside of the study. We present a multievent removal model within a robust design framework which allows for individuals becoming temporarily unavailable for detection. We demonstrate how to investigate parameter redundancy in the model. Results suggest the use of the robust design and certain forms of constraints overcome issues of parameter redundancy. We show which combinations of parameters are estimable when the robust design reduces to a single secondary capture occasion within each primary sampling period. Additionally, we explore the benefit of the robust design on the precision of parameters using simulation. We demonstrate that the use of the robust design is highly recommended when sampling removal data. We apply our model to removal data of common lizards, Zootoca vivipara, and for this application precision of parameter estimates is further improved using an integrated model. John Wiley and Sons Inc. 2018-09-19 2019-03 /pmc/articles/PMC7379670/ /pubmed/30079539 http://dx.doi.org/10.1111/biom.12961 Text en © 2018 The Authors. Biometrics published by Wiley Periodicals, Inc. on behalf of International Biometric Society This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Biometric Methodology Zhou, Ming McCrea, Rachel S. Matechou, Eleni Cole, Diana J. Griffiths, Richard A. Removal models accounting for temporary emigration |
title | Removal models accounting for temporary emigration |
title_full | Removal models accounting for temporary emigration |
title_fullStr | Removal models accounting for temporary emigration |
title_full_unstemmed | Removal models accounting for temporary emigration |
title_short | Removal models accounting for temporary emigration |
title_sort | removal models accounting for temporary emigration |
topic | Biometric Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379670/ https://www.ncbi.nlm.nih.gov/pubmed/30079539 http://dx.doi.org/10.1111/biom.12961 |
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