A
Aurélie Coulon
Researcher at Centre national de la recherche scientifique
Publications - 63
Citations - 4166
Aurélie Coulon is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Population & Biological dispersal. The author has an hindex of 24, co-authored 56 publications receiving 3662 citations. Previous affiliations of Aurélie Coulon include PSL Research University & University of Montpellier.
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Journal ArticleDOI
Costs of dispersal
Dries Bonte,Hans Van Dyck,James M. Bullock,Aurélie Coulon,María del Mar Delgado,Melanie Gibbs,Valérie Lehouck,Erik Matthysen,Karin Mustin,Marjo Saastamoinen,Nicolas Schtickzelle,Virginie M. Stevens,Sofie Vandewoestijne,Michael Baguette,Kamil A. Bartoń,Tim G. Benton,Andrey Chaput-Bardy,Jean Clobert,Calvin Dytham,Thomas Hovestadt,Christoph M. Meier,S. C. F. Palmer,Camille Turlure,Justin M. J. Travis +23 more
TL;DR: The consequences of the presence and magnitude of different costs during different phases of the dispersal process, and their internal organisation through covariation with other life‐history traits are synthesised with respect to potential consequences for species conservation and the need for development of a new generation of spatial simulation models.
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Landscape connectivity influences gene flow in a roe deer population inhabiting a fragmented landscape: an individual-based approach.
Aurélie Coulon,Jean-François Cosson,Jean-Marc Angibault,Bruno Cargnelutti,Maxime Galan,Nicolas Morellet,Eric J. Petit,Stéphane Aulagnier,A. J. M. Hewison +8 more
TL;DR: It is suggested that in a fragmented woodland area roe deer dispersal is strongly linked to wooded structures and hence that gene flow within the roe Deer population is influenced by the connectivity of the landscape.
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Statistical methods in spatial genetics.
TL;DR: The statistical toolbox available to analyse population genetic data in a spatially explicit framework is reviewed, highlighting not only the potential of various approaches but also methodological pitfalls.
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Genetic structure is influenced by landscape features: empirical evidence from a roe deer population.
Aurélie Coulon,Gilles Guillot,Jean-François Cosson,Jean-Marc Angibault,Stéphane Aulagnier,Bruno Cargnelutti,Maxime Galan,A. J. M. Hewison +7 more
TL;DR: In this paper, the authors investigated the genetic structuring of a roe deer population which recently recolonized a fragmented landscape, and sampled 1148 individuals from a 40 × 55-km area containing several putative barriers to deer movements, and hence to gene flow, namely a highway, rivers and several canals.
Journal ArticleDOI
Identifying future research needs in landscape genetics: Where to from here?
Niko Balkenhol,Felix Gugerli,Samuel A. Cushman,Lisette P. Waits,Aurélie Coulon,Jan W. Arntzen,Rolf Holderegger,Helene H. Wagner +7 more
TL;DR: Four major challenges for future landscape genetic research that were identified during an international landscape genetics workshop are outlined, which will greatly improve landscape genetic applications, and positively contribute to the future growth of this promising field.