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We investigated the relationships among landscape quality, gene flow, and population genetic structure of fishers (Martes pennanti) in ON, Canada. We used graph theory as an analytical framework considering each landscape as a network node. The 34 nodes were connected by 93 edges. Network structure was characterized by a higher level of clustering than expected by chance, a short mean path length connecting all pairs of nodes, and a resiliency to the loss of highly connected nodes. Thisdoi:10.1111/j.1752-4571.2008.00047.x pmid:25567802 pmcid:PMC3352384 fatcat:p4zdwoobhfb3zgaje4emb22hq4