A GIS-based approach for assessing the regional conservation status of genetic diversity: an example from the southern Appalachians.
Conserving genetic diversity requires an assessment of the distribution of genetic variants in relation to patterns of land use and environmental variation at a regional scale. This assessment requires a novel approach to integrating and analyzing the genetic and environmental data across spatial scales. To explore the integration of genetic data with other geospatial data sets, we developed a GIS-based approach for examining patterns of genetic diversity for several species of salamanders in southern Appalachians. The genetic data, from allozyme surveys in the genetics literature, were integrated into a GIS database along with related attributes including population identifications and spatial locations. Using existing geospatial data, we classified sample locations as being either protected from anthropogenic disturbance (e.g., National Parks, Wilderness Areas) or as unprotected (e.g., private lands, multiple-use lands in National Forests). We used multidimensional scaling of allelic frequencies and contributions of populations to interpopulation differences in allelic richness to determine which populations had genetic characteristics most different from other populations in the sample. Measures of genetic differentiation were integrated into the GIS database to facilitate spatial analysis and visualization of the indices in relation to land use. This approach was useful for both identification of populations with components of genetic variation that were not well represented at protected sites and for identifying areas of species distributions where more genetic sampling would be necessary to make informed management decisions. Our approach could be readily adapted for use by managers and geneticists working with other species and types of genetic markers.
Ji
Wei Wayne
WW
Department of Geosciences, University of Missouri-Kansas City, 64110, USA. jiwei@umkc.edu
Leberg
Paul
P
D000818:Animals; D001061:Appalachian Region; D003247:Conservation of Natural Resources; D016208:Databases, Factual; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D005819:Genetic Markers; D014644:Genetic Variation; D005843:Geography; D007256:Information Systems
D005819:Genetic Markers