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Environmental and anthropogenic drivers of connectivity patterns: A basis for prioritizing conservation efforts for threatened populations

Ecosystem fragmentation and habitat loss have been the focus of landscape management due to restrictions on contemporary connectivity and dispersal of populations. Here, we used an individual approach to determine the drivers of genetic differentiation in caribou of the Canadian Rockies. We modelled...

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Autores principales: Gubili, Chrysoula, Mariani, Stefano, Weckworth, Byron V., Galpern, Paul, McDevitt, Allan D., Hebblewhite, Mark, Nickel, Barry, Musiani, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253427/
https://www.ncbi.nlm.nih.gov/pubmed/28127396
http://dx.doi.org/10.1111/eva.12443
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author Gubili, Chrysoula
Mariani, Stefano
Weckworth, Byron V.
Galpern, Paul
McDevitt, Allan D.
Hebblewhite, Mark
Nickel, Barry
Musiani, Marco
author_facet Gubili, Chrysoula
Mariani, Stefano
Weckworth, Byron V.
Galpern, Paul
McDevitt, Allan D.
Hebblewhite, Mark
Nickel, Barry
Musiani, Marco
author_sort Gubili, Chrysoula
collection PubMed
description Ecosystem fragmentation and habitat loss have been the focus of landscape management due to restrictions on contemporary connectivity and dispersal of populations. Here, we used an individual approach to determine the drivers of genetic differentiation in caribou of the Canadian Rockies. We modelled the effects of isolation by distance, landscape resistance and predation risk and evaluated the consequences of individual migratory behaviour (seasonally migratory vs. sedentary) on gene flow in this threatened species. We applied distance‐based and reciprocal causal modelling approaches, testing alternative hypotheses on the effects of geographic, topographic, environmental and local population‐specific variables on genetic differentiation and relatedness among individuals. Overall, gene flow was restricted to neighbouring local populations, with spatial coordinates, local population size, groups and elevation explaining connectivity among individuals. Landscape resistance, geographic distances and predation risk were correlated with genetic distances, with correlations threefold higher for sedentary than for migratory caribou. As local caribou populations are increasingly isolated, our results indicate the need to address genetic connectivity, especially for populations with individuals displaying different migratory behaviours, whilst maintaining quality habitat both within and across the ranges of threatened populations.
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spelling pubmed-52534272017-01-26 Environmental and anthropogenic drivers of connectivity patterns: A basis for prioritizing conservation efforts for threatened populations Gubili, Chrysoula Mariani, Stefano Weckworth, Byron V. Galpern, Paul McDevitt, Allan D. Hebblewhite, Mark Nickel, Barry Musiani, Marco Evol Appl Original Articles Ecosystem fragmentation and habitat loss have been the focus of landscape management due to restrictions on contemporary connectivity and dispersal of populations. Here, we used an individual approach to determine the drivers of genetic differentiation in caribou of the Canadian Rockies. We modelled the effects of isolation by distance, landscape resistance and predation risk and evaluated the consequences of individual migratory behaviour (seasonally migratory vs. sedentary) on gene flow in this threatened species. We applied distance‐based and reciprocal causal modelling approaches, testing alternative hypotheses on the effects of geographic, topographic, environmental and local population‐specific variables on genetic differentiation and relatedness among individuals. Overall, gene flow was restricted to neighbouring local populations, with spatial coordinates, local population size, groups and elevation explaining connectivity among individuals. Landscape resistance, geographic distances and predation risk were correlated with genetic distances, with correlations threefold higher for sedentary than for migratory caribou. As local caribou populations are increasingly isolated, our results indicate the need to address genetic connectivity, especially for populations with individuals displaying different migratory behaviours, whilst maintaining quality habitat both within and across the ranges of threatened populations. John Wiley and Sons Inc. 2016-12-20 /pmc/articles/PMC5253427/ /pubmed/28127396 http://dx.doi.org/10.1111/eva.12443 Text en © 2016 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Gubili, Chrysoula
Mariani, Stefano
Weckworth, Byron V.
Galpern, Paul
McDevitt, Allan D.
Hebblewhite, Mark
Nickel, Barry
Musiani, Marco
Environmental and anthropogenic drivers of connectivity patterns: A basis for prioritizing conservation efforts for threatened populations
title Environmental and anthropogenic drivers of connectivity patterns: A basis for prioritizing conservation efforts for threatened populations
title_full Environmental and anthropogenic drivers of connectivity patterns: A basis for prioritizing conservation efforts for threatened populations
title_fullStr Environmental and anthropogenic drivers of connectivity patterns: A basis for prioritizing conservation efforts for threatened populations
title_full_unstemmed Environmental and anthropogenic drivers of connectivity patterns: A basis for prioritizing conservation efforts for threatened populations
title_short Environmental and anthropogenic drivers of connectivity patterns: A basis for prioritizing conservation efforts for threatened populations
title_sort environmental and anthropogenic drivers of connectivity patterns: a basis for prioritizing conservation efforts for threatened populations
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5253427/
https://www.ncbi.nlm.nih.gov/pubmed/28127396
http://dx.doi.org/10.1111/eva.12443
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