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How can we augment the few that remain? Using stable population dynamics to aid reintroduction planning of an iteroparous species
Restoration of depleted populations is an important method in biological conservation. Reintroduction strategies frequently aim to restore stable, increasing, self-sustaining populations. Knowledge of asymptotic system dynamics may provide advantage in selecting reintroduction strategies. We introdu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500717/ https://www.ncbi.nlm.nih.gov/pubmed/31106072 http://dx.doi.org/10.7717/peerj.6873 |
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author | Hanley, Brenda J. Bunting, Elizabeth M. Schuler, Krysten L. |
author_facet | Hanley, Brenda J. Bunting, Elizabeth M. Schuler, Krysten L. |
author_sort | Hanley, Brenda J. |
collection | PubMed |
description | Restoration of depleted populations is an important method in biological conservation. Reintroduction strategies frequently aim to restore stable, increasing, self-sustaining populations. Knowledge of asymptotic system dynamics may provide advantage in selecting reintroduction strategies. We introduce interactive software that is designed to identify strategies for release of females that are immediately aligned with stable population dynamics from species represented by 2-, 3-, 4-, and 5-stage life history strategies. The software allows managers to input a matrix of interest, the desired number of breeding females, and the desired management timeline, and calls upon stable population theory to give release strategies that are in concert with both stable population status and the management goals. We demonstrate how the software can aid in assessing various strategies ahead of a hypothetical restoration. For the purpose of demonstration of the tool only, we use published vital rates of an ungulate species, but remark that the selection of species for demonstration is not central to the use of this tool. Adaption of this tool to real-life restorations of any 2-, 3-, 4-, or 5-stage iteroparous species may aid in understanding how to minimize undesirable recovery complications that may naturally arise from transient population dynamics. The software is freely available at: https//cwhl.vet.cornell.edu/tools/stapopd. |
format | Online Article Text |
id | pubmed-6500717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65007172019-05-17 How can we augment the few that remain? Using stable population dynamics to aid reintroduction planning of an iteroparous species Hanley, Brenda J. Bunting, Elizabeth M. Schuler, Krysten L. PeerJ Mathematical Biology Restoration of depleted populations is an important method in biological conservation. Reintroduction strategies frequently aim to restore stable, increasing, self-sustaining populations. Knowledge of asymptotic system dynamics may provide advantage in selecting reintroduction strategies. We introduce interactive software that is designed to identify strategies for release of females that are immediately aligned with stable population dynamics from species represented by 2-, 3-, 4-, and 5-stage life history strategies. The software allows managers to input a matrix of interest, the desired number of breeding females, and the desired management timeline, and calls upon stable population theory to give release strategies that are in concert with both stable population status and the management goals. We demonstrate how the software can aid in assessing various strategies ahead of a hypothetical restoration. For the purpose of demonstration of the tool only, we use published vital rates of an ungulate species, but remark that the selection of species for demonstration is not central to the use of this tool. Adaption of this tool to real-life restorations of any 2-, 3-, 4-, or 5-stage iteroparous species may aid in understanding how to minimize undesirable recovery complications that may naturally arise from transient population dynamics. The software is freely available at: https//cwhl.vet.cornell.edu/tools/stapopd. PeerJ Inc. 2019-05-02 /pmc/articles/PMC6500717/ /pubmed/31106072 http://dx.doi.org/10.7717/peerj.6873 Text en ©2019 Hanley 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Mathematical Biology Hanley, Brenda J. Bunting, Elizabeth M. Schuler, Krysten L. How can we augment the few that remain? Using stable population dynamics to aid reintroduction planning of an iteroparous species |
title | How can we augment the few that remain? Using stable population dynamics to aid reintroduction planning of an iteroparous species |
title_full | How can we augment the few that remain? Using stable population dynamics to aid reintroduction planning of an iteroparous species |
title_fullStr | How can we augment the few that remain? Using stable population dynamics to aid reintroduction planning of an iteroparous species |
title_full_unstemmed | How can we augment the few that remain? Using stable population dynamics to aid reintroduction planning of an iteroparous species |
title_short | How can we augment the few that remain? Using stable population dynamics to aid reintroduction planning of an iteroparous species |
title_sort | how can we augment the few that remain? using stable population dynamics to aid reintroduction planning of an iteroparous species |
topic | Mathematical Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500717/ https://www.ncbi.nlm.nih.gov/pubmed/31106072 http://dx.doi.org/10.7717/peerj.6873 |
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