Data from: Local adaptation of Pinus leiophylla under climate and land use change models in the Avocado Belt of Michoacán

Climate change and land use change are two main drivers of global
biodiversity decline, decreasing the amount of genetic diversity that
populations harbor and altering the patterns of local
adaptation.  Methods in landscape genomics allow measuring the
effect of these anthropogenic disturbances on the adaptation of
populations. However, both factors have rarely been considered
simultaneously. We modeled the spatial turnover in allele frequencies of
19 localities of Pinus leiophylla across the Avocado Belt in Michoacán
state, Mexico which could change under climate change and land use change
scenarios, in addition to evaluating assisted gene flow strategies and
connectivity metrics across the landscape to identify priority
conservation areas. We found that localities at the center-east regions
would be more vulnerable to climate change, while localities in the west
area will be more threatened by actions of land use change. However,
assisted gene flow actions could reduce their risk of extinction for both
scenarios. Connectivity patterns will also be modified by future habitat
loss, with the central and eastern parts having the highest connectivity
values. These results show that the areas with the highest priority for
conservation are in the eastern zones, which include the Monarch Butterfly
Biosphere Reserve. This work is useful as a framework that incorporates
distinct layers of information to provide a robust representation of the
response of populations to future anthropogenic disturbances.