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Simulating Free-Roaming Cat Population Management Options in Open Demographic Environments

Large populations of free-roaming cats (FRCs) generate ongoing concerns for welfare of both individual animals and populations, for human public health, for viability of native wildlife populations, and for local ecological damage. Managing FRC populations is a complex task, without universal agreem...

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Autores principales: Miller, Philip S., Boone, John D., Briggs, Joyce R., Lawler, Dennis F., Levy, Julie K., Nutter, Felicia B., Slater, Margaret, Zawistowski, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245120/
https://www.ncbi.nlm.nih.gov/pubmed/25426960
http://dx.doi.org/10.1371/journal.pone.0113553
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author Miller, Philip S.
Boone, John D.
Briggs, Joyce R.
Lawler, Dennis F.
Levy, Julie K.
Nutter, Felicia B.
Slater, Margaret
Zawistowski, Stephen
author_facet Miller, Philip S.
Boone, John D.
Briggs, Joyce R.
Lawler, Dennis F.
Levy, Julie K.
Nutter, Felicia B.
Slater, Margaret
Zawistowski, Stephen
author_sort Miller, Philip S.
collection PubMed
description Large populations of free-roaming cats (FRCs) generate ongoing concerns for welfare of both individual animals and populations, for human public health, for viability of native wildlife populations, and for local ecological damage. Managing FRC populations is a complex task, without universal agreement on best practices. Previous analyses that use simulation modeling tools to evaluate alternative management methods have focused on relative efficacy of removal (or trap-return, TR), typically involving euthanasia, and sterilization (or trap-neuter-return, TNR) in demographically isolated populations. We used a stochastic demographic simulation approach to evaluate removal, permanent sterilization, and two postulated methods of temporary contraception for FRC population management. Our models include demographic connectivity to neighboring untreated cat populations through natural dispersal in a metapopulation context across urban and rural landscapes, and also feature abandonment of owned animals. Within population type, a given implementation rate of the TR strategy results in the most rapid rate of population decline and (when populations are isolated) the highest probability of population elimination, followed in order of decreasing efficacy by equivalent rates of implementation of TNR and temporary contraception. Even low levels of demographic connectivity significantly reduce the effectiveness of any management intervention, and continued abandonment is similarly problematic. This is the first demographic simulation analysis to consider the use of temporary contraception and account for the realities of FRC dispersal and owned cat abandonment.
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spelling pubmed-42451202014-12-05 Simulating Free-Roaming Cat Population Management Options in Open Demographic Environments Miller, Philip S. Boone, John D. Briggs, Joyce R. Lawler, Dennis F. Levy, Julie K. Nutter, Felicia B. Slater, Margaret Zawistowski, Stephen PLoS One Research Article Large populations of free-roaming cats (FRCs) generate ongoing concerns for welfare of both individual animals and populations, for human public health, for viability of native wildlife populations, and for local ecological damage. Managing FRC populations is a complex task, without universal agreement on best practices. Previous analyses that use simulation modeling tools to evaluate alternative management methods have focused on relative efficacy of removal (or trap-return, TR), typically involving euthanasia, and sterilization (or trap-neuter-return, TNR) in demographically isolated populations. We used a stochastic demographic simulation approach to evaluate removal, permanent sterilization, and two postulated methods of temporary contraception for FRC population management. Our models include demographic connectivity to neighboring untreated cat populations through natural dispersal in a metapopulation context across urban and rural landscapes, and also feature abandonment of owned animals. Within population type, a given implementation rate of the TR strategy results in the most rapid rate of population decline and (when populations are isolated) the highest probability of population elimination, followed in order of decreasing efficacy by equivalent rates of implementation of TNR and temporary contraception. Even low levels of demographic connectivity significantly reduce the effectiveness of any management intervention, and continued abandonment is similarly problematic. This is the first demographic simulation analysis to consider the use of temporary contraception and account for the realities of FRC dispersal and owned cat abandonment. Public Library of Science 2014-11-26 /pmc/articles/PMC4245120/ /pubmed/25426960 http://dx.doi.org/10.1371/journal.pone.0113553 Text en © 2014 Miller et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Miller, Philip S.
Boone, John D.
Briggs, Joyce R.
Lawler, Dennis F.
Levy, Julie K.
Nutter, Felicia B.
Slater, Margaret
Zawistowski, Stephen
Simulating Free-Roaming Cat Population Management Options in Open Demographic Environments
title Simulating Free-Roaming Cat Population Management Options in Open Demographic Environments
title_full Simulating Free-Roaming Cat Population Management Options in Open Demographic Environments
title_fullStr Simulating Free-Roaming Cat Population Management Options in Open Demographic Environments
title_full_unstemmed Simulating Free-Roaming Cat Population Management Options in Open Demographic Environments
title_short Simulating Free-Roaming Cat Population Management Options in Open Demographic Environments
title_sort simulating free-roaming cat population management options in open demographic environments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245120/
https://www.ncbi.nlm.nih.gov/pubmed/25426960
http://dx.doi.org/10.1371/journal.pone.0113553
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