Data from: Grains of connectivity: analysis at multiple spatial scales in landscape genetics ...
Landscape genetic analyses are typically conducted at one spatial scale. Considering multiple scales may be essential for identifying landscape features influencing gene flow. We examined landscape connectivity for woodland caribou (Rangifer tarandus caribou) at multiple spatial scales using a new a...
| Main Authors: | , , |
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| Format: | Dataset |
| Language: | English |
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Dryad
2012
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.r3j5d https://datadryad.org/stash/dataset/doi:10.5061/dryad.r3j5d |
| Summary: | Landscape genetic analyses are typically conducted at one spatial scale. Considering multiple scales may be essential for identifying landscape features influencing gene flow. We examined landscape connectivity for woodland caribou (Rangifer tarandus caribou) at multiple spatial scales using a new approach based on landscape graphs that creates a Voronoi tessellation of the landscape. To illustrate the potential of the method, we generated five resistance surfaces to explain how landscape pattern may influence gene flow across the range of this population. We tested each resistance surface using a raster at the spatial grain of available landscape data (200 m grid squares). We then used our method to produce up to 127 additional grains for each resistance surface. We applied a causal modelling framework with partial Mantel tests, where evidence of landscape resistance is tested against an alternative hypothesis of isolation-by-distance, and found statistically significant support for landscape resistance to ... : Habitat rasterA raster in ArcASCII format giving the habitat feature classes in the study area (Smoothstone-Wapeweka caribou range, Saskatchewan, Canada)habitat.ascGenotype dataGenotypes for 95 boreal woodland caribou at 10 microsatellite loci.microsat.csv ... |
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