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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Bibliographic Details
Main Authors: Galpern, Paul, Manseau, Micheline, Wilson, Paul
Format: Dataset
Language:English
Published: Dryad 2012
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.r3j5d
https://datadryad.org/stash/dataset/doi:10.5061/dryad.r3j5d
id ftdatacite:10.5061/dryad.r3j5d
record_format openpolar
spelling 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
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