Individual-based landscape genetic anal-
yses provide empirically based models of gene ?ow.
It would be valuable to verify the predictions of these
models using independent data of a different type.
Analyses using different data sources that produce
consistent results provide strong support for the
generality of the ?ndings. Mating and dispersal
movements are the mechanisms through which gene
?ow operates in animal populations. The best means
to verify landscape genetic predictions would be to
use movement data to independently predict land-
scape resistance. We used path-level, conditional
logistic regression to predict landscape resistance for
American black bear (Ursus americanus) in a land-
scape in which previous work predicted population
connectivity using individual-based landscape genet-
ics. We found consistent landscape factors in?uence
genetic differentiation and movement path selection,
with strong similarities between the predicted land-
scape resistance surfaces. Genetic differentiation in
American black bear is driven by spring movement
(mating and dispersal) in relation to residential
development, roads, elevation and forest cover.
Given the limited periods of the year when gene
?ow events primarily occur, models of landscape
connectivity should carefully consider temporal
changes in functional landscape resistance.
Mendeley saves you time finding and organizing research
There are no full text links
Choose a citation style from the tabs below