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...
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Online Access: | https://dx.doi.org/10.5061/dryad.r3j5d https://datadryad.org/stash/dataset/doi:10.5061/dryad.r3j5d |
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ftdatacite:10.5061/dryad.r3j5d 2024-06-09T07:49:12+00:00 Data from: Grains of connectivity: analysis at multiple spatial scales in landscape genetics ... Galpern, Paul Manseau, Micheline Wilson, Paul 2012 https://dx.doi.org/10.5061/dryad.r3j5d https://datadryad.org/stash/dataset/doi:10.5061/dryad.r3j5d en eng Dryad https://dx.doi.org/10.1111/j.1365-294x.2012.05677.x Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 Landscape change Voronoi tessellation Patch-based landscape graphs Rangifer tarandus caribou landscape resistance Dataset dataset 2012 ftdatacite https://doi.org/10.5061/dryad.r3j5d10.1111/j.1365-294x.2012.05677.x 2024-05-13T11:06:34Z 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 ... Dataset Rangifer tarandus DataCite Metadata Store (German National Library of Science and Technology) Canada Caribou Range ENVELOPE(-125.436,-125.436,59.750,59.750) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Landscape change Voronoi tessellation Patch-based landscape graphs Rangifer tarandus caribou landscape resistance |
spellingShingle |
Landscape change Voronoi tessellation Patch-based landscape graphs Rangifer tarandus caribou landscape resistance Galpern, Paul Manseau, Micheline Wilson, Paul Data from: Grains of connectivity: analysis at multiple spatial scales in landscape genetics ... |
topic_facet |
Landscape change Voronoi tessellation Patch-based landscape graphs Rangifer tarandus caribou landscape resistance |
description |
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 ... |
format |
Dataset |
author |
Galpern, Paul Manseau, Micheline Wilson, Paul |
author_facet |
Galpern, Paul Manseau, Micheline Wilson, Paul |
author_sort |
Galpern, Paul |
title |
Data from: Grains of connectivity: analysis at multiple spatial scales in landscape genetics ... |
title_short |
Data from: Grains of connectivity: analysis at multiple spatial scales in landscape genetics ... |
title_full |
Data from: Grains of connectivity: analysis at multiple spatial scales in landscape genetics ... |
title_fullStr |
Data from: Grains of connectivity: analysis at multiple spatial scales in landscape genetics ... |
title_full_unstemmed |
Data from: Grains of connectivity: analysis at multiple spatial scales in landscape genetics ... |
title_sort |
data from: grains of connectivity: analysis at multiple spatial scales in landscape genetics ... |
publisher |
Dryad |
publishDate |
2012 |
url |
https://dx.doi.org/10.5061/dryad.r3j5d https://datadryad.org/stash/dataset/doi:10.5061/dryad.r3j5d |
long_lat |
ENVELOPE(-125.436,-125.436,59.750,59.750) |
geographic |
Canada Caribou Range |
geographic_facet |
Canada Caribou Range |
genre |
Rangifer tarandus |
genre_facet |
Rangifer tarandus |
op_relation |
https://dx.doi.org/10.1111/j.1365-294x.2012.05677.x |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.r3j5d10.1111/j.1365-294x.2012.05677.x |
_version_ |
1801381513346940928 |