Landscape genetics for the empirical assessment of resistance surfaces: the European pine marten (Martes martes) as a target-species of a regional ecological network.

Coherent ecological networks (EN) composed of core areas linked by ecological corridors are being developed worldwide with the goal of promoting landscape connectivity and biodiversity conservation. However, empirical assessment of the performance of EN designs is critical to evaluate the utility of...

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Autores principales: Aritz Ruiz-González, Mikel Gurrutxaga, Samuel A Cushman, María José Madeira, Ettore Randi, Benjamin J Gómez-Moliner
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Publicado: Public Library of Science (PLoS) 2014
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Acceso en línea:https://doaj.org/article/f14a4c72d98540e780b6fc5bd5d4c90d
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spelling oai:doaj.org-article:f14a4c72d98540e780b6fc5bd5d4c90d2021-11-25T05:56:24ZLandscape genetics for the empirical assessment of resistance surfaces: the European pine marten (Martes martes) as a target-species of a regional ecological network.1932-620310.1371/journal.pone.0110552https://doaj.org/article/f14a4c72d98540e780b6fc5bd5d4c90d2014-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0110552https://doaj.org/toc/1932-6203Coherent ecological networks (EN) composed of core areas linked by ecological corridors are being developed worldwide with the goal of promoting landscape connectivity and biodiversity conservation. However, empirical assessment of the performance of EN designs is critical to evaluate the utility of these networks to mitigate effects of habitat loss and fragmentation. Landscape genetics provides a particularly valuable framework to address the question of functional connectivity by providing a direct means to investigate the effects of landscape structure on gene flow. The goals of this study are (1) to evaluate the landscape features that drive gene flow of an EN target species (European pine marten), and (2) evaluate the optimality of a regional EN design in providing connectivity for this species within the Basque Country (North Spain). Using partial Mantel tests in a reciprocal causal modeling framework we competed 59 alternative models, including isolation by distance and the regional EN. Our analysis indicated that the regional EN was among the most supported resistance models for the pine marten, but was not the best supported model. Gene flow of pine marten in northern Spain is facilitated by natural vegetation, and is resisted by anthropogenic landcover types and roads. Our results suggest that the regional EN design being implemented in the Basque Country will effectively facilitate gene flow of forest dwelling species at regional scale.Aritz Ruiz-GonzálezMikel GurrutxagaSamuel A CushmanMaría José MadeiraEttore RandiBenjamin J Gómez-MolinerPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 10, p e110552 (2014)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Aritz Ruiz-González
Mikel Gurrutxaga
Samuel A Cushman
María José Madeira
Ettore Randi
Benjamin J Gómez-Moliner
Landscape genetics for the empirical assessment of resistance surfaces: the European pine marten (Martes martes) as a target-species of a regional ecological network.
description Coherent ecological networks (EN) composed of core areas linked by ecological corridors are being developed worldwide with the goal of promoting landscape connectivity and biodiversity conservation. However, empirical assessment of the performance of EN designs is critical to evaluate the utility of these networks to mitigate effects of habitat loss and fragmentation. Landscape genetics provides a particularly valuable framework to address the question of functional connectivity by providing a direct means to investigate the effects of landscape structure on gene flow. The goals of this study are (1) to evaluate the landscape features that drive gene flow of an EN target species (European pine marten), and (2) evaluate the optimality of a regional EN design in providing connectivity for this species within the Basque Country (North Spain). Using partial Mantel tests in a reciprocal causal modeling framework we competed 59 alternative models, including isolation by distance and the regional EN. Our analysis indicated that the regional EN was among the most supported resistance models for the pine marten, but was not the best supported model. Gene flow of pine marten in northern Spain is facilitated by natural vegetation, and is resisted by anthropogenic landcover types and roads. Our results suggest that the regional EN design being implemented in the Basque Country will effectively facilitate gene flow of forest dwelling species at regional scale.
format article
author Aritz Ruiz-González
Mikel Gurrutxaga
Samuel A Cushman
María José Madeira
Ettore Randi
Benjamin J Gómez-Moliner
author_facet Aritz Ruiz-González
Mikel Gurrutxaga
Samuel A Cushman
María José Madeira
Ettore Randi
Benjamin J Gómez-Moliner
author_sort Aritz Ruiz-González
title Landscape genetics for the empirical assessment of resistance surfaces: the European pine marten (Martes martes) as a target-species of a regional ecological network.
title_short Landscape genetics for the empirical assessment of resistance surfaces: the European pine marten (Martes martes) as a target-species of a regional ecological network.
title_full Landscape genetics for the empirical assessment of resistance surfaces: the European pine marten (Martes martes) as a target-species of a regional ecological network.
title_fullStr Landscape genetics for the empirical assessment of resistance surfaces: the European pine marten (Martes martes) as a target-species of a regional ecological network.
title_full_unstemmed Landscape genetics for the empirical assessment of resistance surfaces: the European pine marten (Martes martes) as a target-species of a regional ecological network.
title_sort landscape genetics for the empirical assessment of resistance surfaces: the european pine marten (martes martes) as a target-species of a regional ecological network.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/f14a4c72d98540e780b6fc5bd5d4c90d
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