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Find the weakest link. A comparison between demographic, genetic and demo-genetic metapopulation extinction times

BACKGROUND: While the ultimate causes of most species extinctions are environmental, environmental constraints have various secondary consequences on evolutionary and ecological processes. The roles of demographic, genetic mechanisms and their interactions in limiting the viabilities of species or p...

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Autor principal: Robert, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3185286/
https://www.ncbi.nlm.nih.gov/pubmed/21929788
http://dx.doi.org/10.1186/1471-2148-11-260
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author Robert, Alexandre
author_facet Robert, Alexandre
author_sort Robert, Alexandre
collection PubMed
description BACKGROUND: While the ultimate causes of most species extinctions are environmental, environmental constraints have various secondary consequences on evolutionary and ecological processes. The roles of demographic, genetic mechanisms and their interactions in limiting the viabilities of species or populations have stirred much debate and remain difficult to evaluate in the absence of demography-genetics conceptual and technical framework. Here, I computed projected times to metapopulation extinction using (1) a model focusing on the effects of species properties, habitat quality, quantity and temporal variability on the time to demographic extinction; (2) a genetic model focusing on the dynamics of the drift and inbreeding loads under the same species and habitat constraints; (3) a demo-genetic model accounting for demographic-genetic processes and feedbacks. RESULTS: Results indicate that a given population may have a high demographic, but low genetic viability or vice versa; and whether genetic or demographic aspects will be the most limiting to overall viability depends on the constraints faced by the species (e.g., reduction of habitat quantity or quality). As a consequence, depending on metapopulation or species characteristics, incorporating genetic considerations to demographically-based viability assessments may either moderately or severely reduce the persistence time. On the other hand, purely genetically-based estimates of species viability may either underestimate (by neglecting demo-genetic interactions) or overestimate (by neglecting the demographic resilience) true viability. CONCLUSION: Unbiased assessments of the viabilities of species may only be obtained by identifying and considering the most limiting processes (i.e., demography or genetics), or, preferentially, by integrating them.
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spelling pubmed-31852862011-10-05 Find the weakest link. A comparison between demographic, genetic and demo-genetic metapopulation extinction times Robert, Alexandre BMC Evol Biol Research Article BACKGROUND: While the ultimate causes of most species extinctions are environmental, environmental constraints have various secondary consequences on evolutionary and ecological processes. The roles of demographic, genetic mechanisms and their interactions in limiting the viabilities of species or populations have stirred much debate and remain difficult to evaluate in the absence of demography-genetics conceptual and technical framework. Here, I computed projected times to metapopulation extinction using (1) a model focusing on the effects of species properties, habitat quality, quantity and temporal variability on the time to demographic extinction; (2) a genetic model focusing on the dynamics of the drift and inbreeding loads under the same species and habitat constraints; (3) a demo-genetic model accounting for demographic-genetic processes and feedbacks. RESULTS: Results indicate that a given population may have a high demographic, but low genetic viability or vice versa; and whether genetic or demographic aspects will be the most limiting to overall viability depends on the constraints faced by the species (e.g., reduction of habitat quantity or quality). As a consequence, depending on metapopulation or species characteristics, incorporating genetic considerations to demographically-based viability assessments may either moderately or severely reduce the persistence time. On the other hand, purely genetically-based estimates of species viability may either underestimate (by neglecting demo-genetic interactions) or overestimate (by neglecting the demographic resilience) true viability. CONCLUSION: Unbiased assessments of the viabilities of species may only be obtained by identifying and considering the most limiting processes (i.e., demography or genetics), or, preferentially, by integrating them. BioMed Central 2011-09-19 /pmc/articles/PMC3185286/ /pubmed/21929788 http://dx.doi.org/10.1186/1471-2148-11-260 Text en Copyright ©2011 Robert; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Robert, Alexandre
Find the weakest link. A comparison between demographic, genetic and demo-genetic metapopulation extinction times
title Find the weakest link. A comparison between demographic, genetic and demo-genetic metapopulation extinction times
title_full Find the weakest link. A comparison between demographic, genetic and demo-genetic metapopulation extinction times
title_fullStr Find the weakest link. A comparison between demographic, genetic and demo-genetic metapopulation extinction times
title_full_unstemmed Find the weakest link. A comparison between demographic, genetic and demo-genetic metapopulation extinction times
title_short Find the weakest link. A comparison between demographic, genetic and demo-genetic metapopulation extinction times
title_sort find the weakest link. a comparison between demographic, genetic and demo-genetic metapopulation extinction times
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3185286/
https://www.ncbi.nlm.nih.gov/pubmed/21929788
http://dx.doi.org/10.1186/1471-2148-11-260
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