Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Segura, Juan, Hilker, Frank M., Franco, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
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
_version_ 1782504498925666304
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
work_keys_str_mv AT segurajuan populationcontrolmethodsinstochasticextinctionandoutbreakscenarios
AT hilkerfrankm populationcontrolmethodsinstochasticextinctionandoutbreakscenarios
AT francodaniel populationcontrolmethodsinstochasticextinctionandoutbreakscenarios