Landscape features influencing gene flow and connectivity of an endangered passerine

Effective exchange of individuals among populations (i.e. gene flow) is one crucial aspect to maintain genetic diversity and viability of populations, especially in the case of threatened species. Landscape composition and structure may facilitate or limit individual movement within and among populations. We used a landscape genetics (LG) approach to assess the connectivity patterns of the threatened Dupont’s lark (Chersophilus duponti duponti), considering their genetic patterns and the landscape features associated with its gene flow in Spain. We analysed genetic structure and relatedness based on 11 species-specific polymorphic microsatellites on 416 Dupont’s lark individuals sampled across peninsular Spain between 2017 and 2019, covering most of the European distribution of the species. To assess the relationship between the landscape configuration and the species gene flow, we estimated genetic distance at the individual level (Dps). Next, we built a set of environmental surfaces f..., , , Within the dataset you can find the raster data (.asc) used for the optimization procedure to create resistance models for both years (1990/2018). Raster layers show the different landscape variables used in the study which were initially obtained from CORINE as it is explained in the manuscript.

There is also a Genepop file containing the data related with microsatellites amplification (11 polymorphic microsatellites) for each individual at the different areas of study.

Additional text files contains both matrix, genetic (Dps) and euclidean geographic (kilometers) distances between each pair of individuals sampled. 

With all this data it is possible to run resistanceGA analyses, as the ones explained in the article, in order to obtain the potential impact of the environment on gene flow.

Some examples of studies related to this kind of analyses are: Flores-Manzanero et al., 2019 ([https://doi.org/10.1002/ece3.4762) ; ](https://doi.org/10.1002/ece3.4762)Peterman 2018 ([https://doi.o...