Data from: Node-based measures of connectivity in genetic networks
At-site environmental conditions can have strong influences on genetic connectivity, and in particular on the immigration and settlement phases of dispersal. However, at-site processes are rarely explored in landscape genetic analyses. Networks can facilitate the study of at-site processes, where ne...
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ftdryad:oai:v1.datadryad.org:10255/dryad.86075 2023-05-15T13:21:52+02:00 Data from: Node-based measures of connectivity in genetic networks Koen, Erin L. Bowman, Jeff Wilson, Paul J. Ontario Canada 2015-04-30T16:58:06Z http://hdl.handle.net/10255/dryad.86075 https://doi.org/10.5061/dryad.4tg23 unknown doi:10.5061/dryad.4tg23/1 doi:10.5061/dryad.4tg23/2 doi:10.5061/dryad.4tg23/3 doi:10.1111/1755-0998.12423 PMID:25917123 doi:10.5061/dryad.4tg23 Koen EL, Bowman J, Wilson PJ (2015) Node-based measures of connectivity in genetic networks. Molecular Ecology Resources 16(1):69-79. http://hdl.handle.net/10255/dryad.86075 edge weight genetic network landscape genetics nodes microsatellite simulation American marten Article 2015 ftdryad https://doi.org/10.5061/dryad.4tg23 https://doi.org/10.5061/dryad.4tg23/1 https://doi.org/10.5061/dryad.4tg23/2 https://doi.org/10.5061/dryad.4tg23/3 https://doi.org/10.1111/1755-0998.12423 2020-01-01T15:19:14Z At-site environmental conditions can have strong influences on genetic connectivity, and in particular on the immigration and settlement phases of dispersal. However, at-site processes are rarely explored in landscape genetic analyses. Networks can facilitate the study of at-site processes, where network nodes are used to model site-level effects. We used simulated genetic networks to compare and contrast the performance of 7 node-based (as opposed to edge-based) genetic connectivity metrics. We simulated increasing node connectivity by varying migration in two ways: we increased the number of migrants moving between a focal node and a set number of recipient nodes, and we increased the number of recipient nodes receiving a set number of migrants. We found that two metrics in particular, the average edge weight and the average inverse edge weight, varied linearly with simulated connectivity. Conversely, node degree was not a good measure of connectivity. We demonstrated the use of average inverse edge weight to describe the influence of at-site habitat characteristics on genetic connectivity of 653 American martens (Martes americana) in Ontario, Canada. We found that highly connected nodes had high habitat quality for marten (deep snow and high proportions of coniferous and mature forest) and were farther from the range edge. We recommend the use of node-based genetic connectivity metrics, in particular, average edge weight or average inverse edge weight, to model the influences of at-site habitat conditions on the immigration and settlement phases of dispersal. Article in Journal/Newspaper American marten Martes americana Dryad Digital Repository (Duke University) Canada |
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Open Polar |
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Dryad Digital Repository (Duke University) |
op_collection_id |
ftdryad |
language |
unknown |
topic |
edge weight genetic network landscape genetics nodes microsatellite simulation American marten |
spellingShingle |
edge weight genetic network landscape genetics nodes microsatellite simulation American marten Koen, Erin L. Bowman, Jeff Wilson, Paul J. Data from: Node-based measures of connectivity in genetic networks |
topic_facet |
edge weight genetic network landscape genetics nodes microsatellite simulation American marten |
description |
At-site environmental conditions can have strong influences on genetic connectivity, and in particular on the immigration and settlement phases of dispersal. However, at-site processes are rarely explored in landscape genetic analyses. Networks can facilitate the study of at-site processes, where network nodes are used to model site-level effects. We used simulated genetic networks to compare and contrast the performance of 7 node-based (as opposed to edge-based) genetic connectivity metrics. We simulated increasing node connectivity by varying migration in two ways: we increased the number of migrants moving between a focal node and a set number of recipient nodes, and we increased the number of recipient nodes receiving a set number of migrants. We found that two metrics in particular, the average edge weight and the average inverse edge weight, varied linearly with simulated connectivity. Conversely, node degree was not a good measure of connectivity. We demonstrated the use of average inverse edge weight to describe the influence of at-site habitat characteristics on genetic connectivity of 653 American martens (Martes americana) in Ontario, Canada. We found that highly connected nodes had high habitat quality for marten (deep snow and high proportions of coniferous and mature forest) and were farther from the range edge. We recommend the use of node-based genetic connectivity metrics, in particular, average edge weight or average inverse edge weight, to model the influences of at-site habitat conditions on the immigration and settlement phases of dispersal. |
format |
Article in Journal/Newspaper |
author |
Koen, Erin L. Bowman, Jeff Wilson, Paul J. |
author_facet |
Koen, Erin L. Bowman, Jeff Wilson, Paul J. |
author_sort |
Koen, Erin L. |
title |
Data from: Node-based measures of connectivity in genetic networks |
title_short |
Data from: Node-based measures of connectivity in genetic networks |
title_full |
Data from: Node-based measures of connectivity in genetic networks |
title_fullStr |
Data from: Node-based measures of connectivity in genetic networks |
title_full_unstemmed |
Data from: Node-based measures of connectivity in genetic networks |
title_sort |
data from: node-based measures of connectivity in genetic networks |
publishDate |
2015 |
url |
http://hdl.handle.net/10255/dryad.86075 https://doi.org/10.5061/dryad.4tg23 |
op_coverage |
Ontario Canada |
geographic |
Canada |
geographic_facet |
Canada |
genre |
American marten Martes americana |
genre_facet |
American marten Martes americana |
op_relation |
doi:10.5061/dryad.4tg23/1 doi:10.5061/dryad.4tg23/2 doi:10.5061/dryad.4tg23/3 doi:10.1111/1755-0998.12423 PMID:25917123 doi:10.5061/dryad.4tg23 Koen EL, Bowman J, Wilson PJ (2015) Node-based measures of connectivity in genetic networks. Molecular Ecology Resources 16(1):69-79. http://hdl.handle.net/10255/dryad.86075 |
op_doi |
https://doi.org/10.5061/dryad.4tg23 https://doi.org/10.5061/dryad.4tg23/1 https://doi.org/10.5061/dryad.4tg23/2 https://doi.org/10.5061/dryad.4tg23/3 https://doi.org/10.1111/1755-0998.12423 |
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1766361933908279296 |