Optimizing metapopulation sustainability through a checkerboard strategy.

The persistence of a spatially structured population is determined by the rate of dispersal among habitat patches. If the local dynamic at the subpopulation level is extinction-prone, the system viability is maximal at intermediate connectivity where recolonization is allowed, but full synchronizati...

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Autores principales:	Yossi Ben Zion, Gur Yaari, Nadav M Shnerb
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/6885af0a970a44c29abcac336d9af1ee
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id	oai:doaj.org-article:6885af0a970a44c29abcac336d9af1ee
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spelling	oai:doaj.org-article:6885af0a970a44c29abcac336d9af1ee2021-11-25T05:42:42ZOptimizing metapopulation sustainability through a checkerboard strategy.1553-734X1553-735810.1371/journal.pcbi.1000643https://doaj.org/article/6885af0a970a44c29abcac336d9af1ee2010-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20098493/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358The persistence of a spatially structured population is determined by the rate of dispersal among habitat patches. If the local dynamic at the subpopulation level is extinction-prone, the system viability is maximal at intermediate connectivity where recolonization is allowed, but full synchronization that enables correlated extinction is forbidden. Here we developed and used an algorithm for agent-based simulations in order to study the persistence of a stochastic metapopulation. The effect of noise is shown to be dramatic, and the dynamics of the spatial population differs substantially from the predictions of deterministic models. This has been validated for the stochastic versions of the logistic map, the Ricker map and the Nicholson-Bailey host-parasitoid system. To analyze the possibility of extinction, previous studies were focused on the attractiveness (Lyapunov exponent) of stable solutions and the structure of their basin of attraction (dependence on initial population size). Our results suggest that these features are of secondary importance in the presence of stochasticity. Instead, optimal sustainability is achieved when decoherence is maximal. Individual-based simulations of metapopulations of different sizes, dimensions and noise types, show that the system's lifetime peaks when it displays checkerboard spatial patterns. This conclusion is supported by the results of a recently published Drosophila experiment. The checkerboard strategy provides a technique for the manipulation of migration rates (e.g., by constructing corridors) in order to affect the persistence of a metapopulation. It may be used in order to minimize the risk of extinction of an endangered species, or to maximize the efficiency of an eradication campaign.Yossi Ben ZionGur YaariNadav M ShnerbPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 6, Iss 1, p e1000643 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Yossi Ben Zion Gur Yaari Nadav M Shnerb Optimizing metapopulation sustainability through a checkerboard strategy.
description	The persistence of a spatially structured population is determined by the rate of dispersal among habitat patches. If the local dynamic at the subpopulation level is extinction-prone, the system viability is maximal at intermediate connectivity where recolonization is allowed, but full synchronization that enables correlated extinction is forbidden. Here we developed and used an algorithm for agent-based simulations in order to study the persistence of a stochastic metapopulation. The effect of noise is shown to be dramatic, and the dynamics of the spatial population differs substantially from the predictions of deterministic models. This has been validated for the stochastic versions of the logistic map, the Ricker map and the Nicholson-Bailey host-parasitoid system. To analyze the possibility of extinction, previous studies were focused on the attractiveness (Lyapunov exponent) of stable solutions and the structure of their basin of attraction (dependence on initial population size). Our results suggest that these features are of secondary importance in the presence of stochasticity. Instead, optimal sustainability is achieved when decoherence is maximal. Individual-based simulations of metapopulations of different sizes, dimensions and noise types, show that the system's lifetime peaks when it displays checkerboard spatial patterns. This conclusion is supported by the results of a recently published Drosophila experiment. The checkerboard strategy provides a technique for the manipulation of migration rates (e.g., by constructing corridors) in order to affect the persistence of a metapopulation. It may be used in order to minimize the risk of extinction of an endangered species, or to maximize the efficiency of an eradication campaign.
format	article
author	Yossi Ben Zion Gur Yaari Nadav M Shnerb
author_facet	Yossi Ben Zion Gur Yaari Nadav M Shnerb
author_sort	Yossi Ben Zion
title	Optimizing metapopulation sustainability through a checkerboard strategy.
title_short	Optimizing metapopulation sustainability through a checkerboard strategy.
title_full	Optimizing metapopulation sustainability through a checkerboard strategy.
title_fullStr	Optimizing metapopulation sustainability through a checkerboard strategy.
title_full_unstemmed	Optimizing metapopulation sustainability through a checkerboard strategy.
title_sort	optimizing metapopulation sustainability through a checkerboard strategy.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/6885af0a970a44c29abcac336d9af1ee
work_keys_str_mv	AT yossibenzion optimizingmetapopulationsustainabilitythroughacheckerboardstrategy AT guryaari optimizingmetapopulationsustainabilitythroughacheckerboardstrategy AT nadavmshnerb optimizingmetapopulationsustainabilitythroughacheckerboardstrategy
_version_	1718414521328992256

Optimizing metapopulation sustainability through a checkerboard strategy.

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