Minimum habitat thresholds required for conserving mountain lion genetic diversity
Dellinger, Justin (2020), Minimum habitat thresholds required for conserving mountain lion genetic diversity, Dryad, Dataset, https://doi.org/10.5061/dryad.nvx0k6dqb
Jointly considering the ecology (e.g., habitat use) and genetics (e.g., population genetic structure and diversity) of a species can increase understanding of current conservation status and inform future management practices. Previous analyses indicate that mountain lion (Puma concolor) populations in California are genetically structured and exhibit extreme variation in population genetic diversity. Although human development may have fragmented gene flow, we hypothesized the quantity and quality of remaining habitat available would affect the genetic viability of each population. Our results indicate that area of suitable habitat, determined via a resource selection function derived using 843,500 location fixes from 263 radio-collared mountain lions, is strongly and positively associated with population genetic diversity and viability metrics, particularly with effective population size. Our results suggested that contiguous habitat of ≥ 10,000 km2 may be sufficient to alleviate the negative effects of genetic drift and inbreeding, allowing mountain lion populations to maintain suitable effective population sizes. Areas occupied by five of the nine geographic–genetic mountain lion populations in California fell below this habitat threshold, and two (Santa Monica Area and Santa Ana) of those five populations lack connectivity to nearby populations. Enhancing ecological conditions by protection of greater areas of suitable habitat and facilitating positive evolutionary processes by increasing connectivity (e.g., road crossing structures) might promote persistence of small or isolated populations. The conservation status of suitable habitat also appeared to influence genetic diversity of populations. Thus, our results demonstrate that both the area and status (i.e., protected or unprotected) of suitable habitat influence the genetic viability of mountain lion populations.
Data was taken from two previous publications. Habitat data was derived by clipping raster layers of suitable habitat from Dellinger et al. 2020 with geographic distribution of the panmictic mountain lion populations in California:
- Dellinger, J.A., et al. 2020. Using mountain lion habitat selection in management. – J. Wildlife Manage. 84:359-371.
- Gustafson, K. D., et al. 2019. Genetic source-sink dynamics among naturally structured and anthropogenically fragmented puma populations. – Conserv. Genet. 20: 215-227.
These data are best understood with the aid of corresponding GIS layers for mountain lion population genetics and habitat use patterns in California. Please contact firstname.lastname@example.org to obtain these layers.