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Population control methods in stochastic extinction and outbreak scenarios
Adaptive limiter control (ALC) and adaptive threshold harvesting (ATH) are two related control methods that have been shown to stabilize fluctuating populations. Large variations in population abundance can threaten the constancy and the persistence stability of ecological populations, which may imp...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5289467/ https://www.ncbi.nlm.nih.gov/pubmed/28151983 http://dx.doi.org/10.1371/journal.pone.0170837 |
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author | Segura, Juan Hilker, Frank M. Franco, Daniel |
author_facet | Segura, Juan Hilker, Frank M. Franco, Daniel |
author_sort | Segura, Juan |
collection | PubMed |
description | Adaptive limiter control (ALC) and adaptive threshold harvesting (ATH) are two related control methods that have been shown to stabilize fluctuating populations. Large variations in population abundance can threaten the constancy and the persistence stability of ecological populations, which may impede the success and efficiency of managing natural resources. Here, we consider population models that include biological mechanisms characteristic for causing extinctions on the one hand and pest outbreaks on the other hand. These models include Allee effects and the impact of natural enemies (as is typical of forest defoliating insects). We study the impacts of noise and different levels of biological parameters in three extinction and two outbreak scenarios. Our results show that ALC and ATH have an effect on extinction and outbreak risks only for sufficiently large control intensities. Moreover, there is a clear disparity between the two control methods: in the extinction scenarios, ALC can be effective and ATH can be counterproductive, whereas in the outbreak scenarios the situation is reversed, with ATH being effective and ALC being potentially counterproductive. |
format | Online Article Text |
id | pubmed-5289467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-52894672017-02-17 Population control methods in stochastic extinction and outbreak scenarios Segura, Juan Hilker, Frank M. Franco, Daniel PLoS One Research Article Adaptive limiter control (ALC) and adaptive threshold harvesting (ATH) are two related control methods that have been shown to stabilize fluctuating populations. Large variations in population abundance can threaten the constancy and the persistence stability of ecological populations, which may impede the success and efficiency of managing natural resources. Here, we consider population models that include biological mechanisms characteristic for causing extinctions on the one hand and pest outbreaks on the other hand. These models include Allee effects and the impact of natural enemies (as is typical of forest defoliating insects). We study the impacts of noise and different levels of biological parameters in three extinction and two outbreak scenarios. Our results show that ALC and ATH have an effect on extinction and outbreak risks only for sufficiently large control intensities. Moreover, there is a clear disparity between the two control methods: in the extinction scenarios, ALC can be effective and ATH can be counterproductive, whereas in the outbreak scenarios the situation is reversed, with ATH being effective and ALC being potentially counterproductive. Public Library of Science 2017-02-02 /pmc/articles/PMC5289467/ /pubmed/28151983 http://dx.doi.org/10.1371/journal.pone.0170837 Text en © 2017 Segura 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, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Segura, Juan Hilker, Frank M. Franco, Daniel Population control methods in stochastic extinction and outbreak scenarios |
title | Population control methods in stochastic extinction and outbreak scenarios |
title_full | Population control methods in stochastic extinction and outbreak scenarios |
title_fullStr | Population control methods in stochastic extinction and outbreak scenarios |
title_full_unstemmed | Population control methods in stochastic extinction and outbreak scenarios |
title_short | Population control methods in stochastic extinction and outbreak scenarios |
title_sort | population control methods in stochastic extinction and outbreak scenarios |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5289467/ https://www.ncbi.nlm.nih.gov/pubmed/28151983 http://dx.doi.org/10.1371/journal.pone.0170837 |
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