Genetic isolation by distance and landscape connectivity in the American marten (Martes americana)
International audience Empirical studies of landscape connectivity are limited by the difficulty of directly measuring animal movement. ‘Indirect' approaches involving genetic analyses provide a complementary tool to ‘direct' methods such as capture–recapture or radio-tracking. Here the ef...
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ftccsdartic:oai:HAL:hal-00090547v1 2023-05-15T13:21:49+02:00 Genetic isolation by distance and landscape connectivity in the American marten (Martes americana) Broquet, Thomas Ray, Nicolas Petit, Eric Fryxell, J., Burel, Francoise Ecosystèmes, biodiversité, évolution Rennes (ECOBIO) Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE) Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1) Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES) Computational and Molecular Population Genetics (CMPG) Université de Bern Ethologie, éVolution, Ecologie (EVE) Ethologie animale et humaine (EthoS) Université de Caen Normandie (UNICAEN) Normandie Université (NU)-Normandie Université (NU)-Université de Rennes 1 (UR1) Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN) Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS) Zoology Department University of Guelph University of Guelph 2006 https://hal.archives-ouvertes.fr/hal-00090547 https://doi.org/10.1007/s10980-005-5956-y en eng HAL CCSD Springer Verlag info:eu-repo/semantics/altIdentifier/doi/10.1007/s10980-005-5956-y hal-00090547 https://hal.archives-ouvertes.fr/hal-00090547 doi:10.1007/s10980-005-5956-y ISSN: 0921-2973 EISSN: 1572-9761 Landscape Ecology https://hal.archives-ouvertes.fr/hal-00090547 Landscape Ecology, Springer Verlag, 2006, 21 (6), pp.877-889. ⟨10.1007/s10980-005-5956-y⟩ Landscape genetics Isolation by distance American marten Boreal forest Connectivity Dispersal Effective distance Genetic structure [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDV]Life Sciences [q-bio] info:eu-repo/semantics/article Journal articles 2006 ftccsdartic https://doi.org/10.1007/s10980-005-5956-y 2021-10-24T23:14:04Z International audience Empirical studies of landscape connectivity are limited by the difficulty of directly measuring animal movement. ‘Indirect' approaches involving genetic analyses provide a complementary tool to ‘direct' methods such as capture–recapture or radio-tracking. Here the effect of landscape on dispersal was investigated in a forest-dwelling species, the American marten (Martes americana) using the genetic model of isolation by distance (IBD). This model assumes isotropic dispersal in a homogeneous environment and is characterized by increasing genetic differentiation among individuals separated by increasing geographic distances. The effect of landscape features on this genetic pattern was used to test for a departure from spatially homogeneous dispersal. This study was conducted on two populations in homogeneous vs. heterogeneous habitat in a harvested boreal forest in Ontario (Canada). A pattern of IBD was evidenced in the homogeneous landscape whereas no such pattern was found in the near-by harvested forest. To test whether landscape structure may be accountable for this difference, we used effective distances that take into account the effect of landscape features on marten movement instead of Euclidean distances in the model of isolation by distance. Effective distances computed using least-cost modeling were better correlated to genetic distances in both landscapes, thereby showing that the interaction between landscape features and dispersal in Martes americana may be detected through individual-based analyses of spatial genetic structure. However, the simplifying assumptions of genetic models and the low proportions in genetic differentiation explained by these models may limit their utility in quantifying the effect of landscape structure. Article in Journal/Newspaper American marten Martes americana Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Canada Landscape Ecology 21 6 877 889 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
Landscape genetics Isolation by distance American marten Boreal forest Connectivity Dispersal Effective distance Genetic structure [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDV]Life Sciences [q-bio] |
spellingShingle |
Landscape genetics Isolation by distance American marten Boreal forest Connectivity Dispersal Effective distance Genetic structure [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDV]Life Sciences [q-bio] Broquet, Thomas Ray, Nicolas Petit, Eric Fryxell, J., Burel, Francoise Genetic isolation by distance and landscape connectivity in the American marten (Martes americana) |
topic_facet |
Landscape genetics Isolation by distance American marten Boreal forest Connectivity Dispersal Effective distance Genetic structure [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment [SDV]Life Sciences [q-bio] |
description |
International audience Empirical studies of landscape connectivity are limited by the difficulty of directly measuring animal movement. ‘Indirect' approaches involving genetic analyses provide a complementary tool to ‘direct' methods such as capture–recapture or radio-tracking. Here the effect of landscape on dispersal was investigated in a forest-dwelling species, the American marten (Martes americana) using the genetic model of isolation by distance (IBD). This model assumes isotropic dispersal in a homogeneous environment and is characterized by increasing genetic differentiation among individuals separated by increasing geographic distances. The effect of landscape features on this genetic pattern was used to test for a departure from spatially homogeneous dispersal. This study was conducted on two populations in homogeneous vs. heterogeneous habitat in a harvested boreal forest in Ontario (Canada). A pattern of IBD was evidenced in the homogeneous landscape whereas no such pattern was found in the near-by harvested forest. To test whether landscape structure may be accountable for this difference, we used effective distances that take into account the effect of landscape features on marten movement instead of Euclidean distances in the model of isolation by distance. Effective distances computed using least-cost modeling were better correlated to genetic distances in both landscapes, thereby showing that the interaction between landscape features and dispersal in Martes americana may be detected through individual-based analyses of spatial genetic structure. However, the simplifying assumptions of genetic models and the low proportions in genetic differentiation explained by these models may limit their utility in quantifying the effect of landscape structure. |
author2 |
Ecosystèmes, biodiversité, évolution Rennes (ECOBIO) Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE) Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1) Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES) Computational and Molecular Population Genetics (CMPG) Université de Bern Ethologie, éVolution, Ecologie (EVE) Ethologie animale et humaine (EthoS) Université de Caen Normandie (UNICAEN) Normandie Université (NU)-Normandie Université (NU)-Université de Rennes 1 (UR1) Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN) Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS) Zoology Department University of Guelph University of Guelph |
format |
Article in Journal/Newspaper |
author |
Broquet, Thomas Ray, Nicolas Petit, Eric Fryxell, J., Burel, Francoise |
author_facet |
Broquet, Thomas Ray, Nicolas Petit, Eric Fryxell, J., Burel, Francoise |
author_sort |
Broquet, Thomas |
title |
Genetic isolation by distance and landscape connectivity in the American marten (Martes americana) |
title_short |
Genetic isolation by distance and landscape connectivity in the American marten (Martes americana) |
title_full |
Genetic isolation by distance and landscape connectivity in the American marten (Martes americana) |
title_fullStr |
Genetic isolation by distance and landscape connectivity in the American marten (Martes americana) |
title_full_unstemmed |
Genetic isolation by distance and landscape connectivity in the American marten (Martes americana) |
title_sort |
genetic isolation by distance and landscape connectivity in the american marten (martes americana) |
publisher |
HAL CCSD |
publishDate |
2006 |
url |
https://hal.archives-ouvertes.fr/hal-00090547 https://doi.org/10.1007/s10980-005-5956-y |
geographic |
Canada |
geographic_facet |
Canada |
genre |
American marten Martes americana |
genre_facet |
American marten Martes americana |
op_source |
ISSN: 0921-2973 EISSN: 1572-9761 Landscape Ecology https://hal.archives-ouvertes.fr/hal-00090547 Landscape Ecology, Springer Verlag, 2006, 21 (6), pp.877-889. ⟨10.1007/s10980-005-5956-y⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1007/s10980-005-5956-y hal-00090547 https://hal.archives-ouvertes.fr/hal-00090547 doi:10.1007/s10980-005-5956-y |
op_doi |
https://doi.org/10.1007/s10980-005-5956-y |
container_title |
Landscape Ecology |
container_volume |
21 |
container_issue |
6 |
container_start_page |
877 |
op_container_end_page |
889 |
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1766361635006447616 |