Supplementary material from "Demographic mechanisms underpinning genetic assimilation of remnant groups of a large carnivore"

• Main Authors: Mikle, Nate, Graves, Tabitha A., Kovach, Ryan, Kendall, Katherine C., Macleod, Amy C.
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: Figshare 2016
• Subjects: Genetics; FOS Biological sciences; Molecular Biology; Ecology; Ursus arctos
• Online Access: https://dx.doi.org/10.6084/m9.figshare.c.3464601.v1; https://figshare.com/collections/Supplementary_material_from_Demographic_mechanisms_underpinning_genetic_assimilation_of_remnant_groups_of_a_large_carnivore_/3464601/1

Current range expansions of large terrestrial carnivores are occurring following human-induced range contraction. Contractions are often incomplete, leaving small remnant groups in refugia throughout the former range. Little is known about the underlying ecological and evolutionary processes that influence how remnant groups are affected during range expansion. We used data from a spatially explicit, long-term genetic sampling effort of grizzly bears ( Ursus arctos ) in the Northern Continental Divide Ecosystem (NCDE), USA to identify the demographic processes underlying spatial and temporal patterns of genetic diversity. We conducted parentage analysis to evaluate how reproductive success and dispersal contribute to spatio-temporal patterns of genetic diversity in remnant groups of grizzly bears existing in the southwestern (SW), southeastern (SE) and east-central (EC) regions of the NCDE. A few reproductively dominant individuals and local inbreeding caused low genetic diversity in peripheral regions that may have persisted for multiple generations before eroding rapidly ( approx. one generation) during population expansion. Our results highlight that individual-level genetic and reproductive dynamics plays critical roles during genetic assimilation, and shows that spatial patterns of genetic diversity on the leading edge of an expansion may result from historical demographic patterns that are highly ephemeral.