Data from: Spatial familial networks to infer demographic structure of wild populations ...
In social species, reproductive success and rates of dispersal vary among individuals resulting in spatially structured populations. Network analyses of familial relationships may provide insights on how these parameters influence population-level demographic patterns. These methods have however rar...
Main Authors: | , , |
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Format: | Dataset |
Language: | English |
Published: |
Dryad
2021
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Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.zkh189385 https://datadryad.org/stash/dataset/doi:10.5061/dryad.zkh189385 |
Summary: | In social species, reproductive success and rates of dispersal vary among individuals resulting in spatially structured populations. Network analyses of familial relationships may provide insights on how these parameters influence population-level demographic patterns. These methods have however rarely been applied to genetically-derived pedigree data from wild populations. Here we use parent-offspring relationships to construct familial networks from polygamous boreal woodland caribou (Rangifer tarandus caribou) in Saskatchewan, Canada, to inform recovery efforts. We collected samples from 933 individuals at 15 variable microsatellite loci along with caribou-specific primers for sex identification. Using network measures, we assess the contribution of individual caribou to the population with several centrality measures and then determine which measures are best suited to inform on the population demographic structure. We investigate the centrality of individuals from eighteen different local areas, along ... |
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