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 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.
Biology Department, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada.
Erin L
EL
Koen
Wildlife Research & Monitoring Section, Ontario Ministry of Natural Resources and Forestry, Trent University DNA Building, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada.
Jeff
J
Bowman
Biology Department, Trent University, 2140 East Bank Drive, Peterborough, ON, K9J 7B8, Canada.
Paul J
PJ
Wilson
D000818:Animals; D017753:Ecosystem; D004777:Environment; D053263:Gene Regulatory Networks; D008957:Models, Genetic; D045969:Mustelidae / Q000145:classification / Q000235:genetics*
American marten; Martes americana; edge weight; genetic network; landscape genetics; nodes