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R. Jehle, G. Wilson, J. Arntzen, Terry Burke (2005)
Contemporary gene flow and the spatio‐temporal genetic structure of subdivided newt populations (Triturus cristatus, T. marmoratus)Journal of Evolutionary Biology, 18
Griffiths Griffiths, Sewell Sewell, McCrea McCrea (2010)
Dynamics of a declining amphibian metapopulationsurvival, dispersal and the impact of climate, 143
Greenwald Greenwald (2010)
Genetic data in population viability analysiscase studies with ambystomatid salamanders, 13
K. Greenwald (2010)
Genetic data in population viability analysis: case studies with ambystomatid salamandersAnimal Conservation, 13
R. Griffiths, D. Sewell, R. McCrea (2010)
Dynamics of a declining amphibian metapopulation: Survival, dispersal and the impact of climateBiological Conservation, 143
Population viability analysis (PVA) and genetic assignment tests are two important items in the toolbox of contemporary conservation biologists, but appear to have little in common as they are applied to scientific problems of different scale and scope. PVAs use life history and environmental data to predict whether populations are able to survive a certain period of time, for example comparing different management strategies. Assignment tests, on the other hand, are statistical procedures applied to individual multi‐locus DNA fingerprints (most often derived from microsatellites), and measure the likelihood with which a genetic profile originates from a specific gene pool. Applied to wild populations, assignment tests can, for example, identify individual migrants, which bear genetic signatures that match better to a distant population rather than to the population where they were sampled. In a remarkable paper that uses three datasets from temperate urodele amphibians (North American salamanders of the genus Ambystoma ), Greenwald (2010) explores assignment tests to quantify the degree of connectivity between demes comprising a metapopulation, an important parameter to predict whether a species is locally able to survive. The general idea is that empirically collected genetic data should provide a more flexible and realistic measure of
Animal Conservation – Wiley
Published: Apr 1, 2010
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