The DOI matches its Crossref record.
Landscape connectivity influences gene flow in a roe deer population inhabiting a fragmented landscape: an individual–based approach
Abstract
Changes in agricultural practices and forest fragmentation can have a dramatic effect on landscape connectivity and the dispersal of animals, potentially reducing gene flow within populations. In this study, we assessed the influence of woodland connectivity on gene flow in a traditionally forest‐dwelling species — the European roe deer — in a fragmented landscape. From a sample of 648 roe deer spatially referenced within a study area of 55 × 40 km, interindividual genetic distances were calculated from genotypes at 12 polymorphic microsatellite loci. We calculated two geographical distances between each pair of individuals: the Euclidean distance (straight line) and the ‘least cost distance’ (the trajectory that maximizes the use of wooded corridors). We tested the correlation between genetic pairwise distances and the two types of geographical pairwise distance using Mantel tests. The correlation was better using the least cost distance, which takes into account the distribution of wooded patches, especially for females (the correlation was stronger but not significant for males). These results suggest 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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Citations
Cited by
McRae, B. H. (2006) · Evolution · doi:10.1111/j.0014-3820.2006.tb00500.x · Cited by 1,081
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McRae, B. H., & Beier, P. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0706568104 · Cited by 945
Individual dispersal, landscape connectivity and ecological networks
Baguette, M., Blanchet, S., Legrand, D., Stevens, V. M., & Turlure, C. (2013) · Biological Reviews · doi:10.1111/brv.12000 · Cited by 714
SPEAR, S. F., BALKENHOL, N., FORTIN, M., MCRAE, B. H., & SCRIBNER, K. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2010.04657.x · Cited by 598
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Cushman, S. A., McKelvey, K. S., Hayden, J., & Schwartz, M. K. (2006) · The American Naturalist · doi:10.1086/506976 · Cited by 590
Galpern, P., Manseau, M., & Fall, A. (2011) · Biological Conservation · doi:10.1016/j.biocon.2010.09.002 · Cited by 318
Genetic structure is influenced by landscape features: empirical evidence from a roe deer population
COULON, A., GUILLOT, G., COSSON, J. ‐., ANGIBAULT, J. M. A., AULAGNIER, S., CARGNELUTTI, B., GALAN, M., & HEWISON, A. J. M. (2006) · Molecular Ecology · doi:10.1111/j.1365-294x.2006.02861.x · Cited by 310
Self-citationScale dependent inference in landscape genetics
Cushman, S. A., & Landguth, E. L. (2010) · Landscape Ecology · doi:10.1007/s10980-010-9467-0 · Cited by 162
Validation of functional connectivity modeling: The Achilles’ heel of landscape connectivity mapping
Laliberté, J., & St-Laurent, M.-H. (2020) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2020.103878 · Cited by 86
Metadata
- Authors
- COULON, A., COSSON, J. F., ANGIBAULT, J. M., CARGNELUTTI, B., GALAN, M., MORELLET, N., PETIT, E., AULAGNIER, S., & HEWISON, A. J. M.
- Venue
- Molecular Ecology
- Publisher
- Wiley
- Published
- 2004-08-06
- Volume
- 13
- Issue
- 9
- Pages
- 2841-2850
- ISSN
- 0962-1083 (ISSN-L)
- 1365-294X
- OpenAlex
- W2141404448
- Cited by
- 398
- References
- 0
- FWCI
- 7.75
- Type
- journal article
- Language
- en
- Open access
- closed
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