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Application of Large-Scale Parentage Analysis for Investigating Natal Dispersal in Highly Vagile Vertebrates: A Case Study of American Black Bears (Ursus americanus)

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  • Jennifer A Moore
  • Hope M Draheim
  • Dwayne Etter
  • Scott Winterstein
  • Kim T Scribner

Abstract

Understanding the factors that affect dispersal is a fundamental question in ecology and conservation biology, particularly as populations are faced with increasing anthropogenic impacts. Here we collected georeferenced genetic samples (n = 2,540) from three generations of black bears (Ursus americanus) harvested in a large (47,739 km2), geographically isolated population and used parentage analysis to identify mother-offspring dyads (n = 337). We quantified the effects of sex, age, habitat type and suitability, and local harvest density at the natal and settlement sites on the probability of natal dispersal, and on dispersal distances. Dispersal was male-biased (76% of males dispersed) but a small proportion (21%) of females also dispersed, and female dispersal distances (mean ± SE = 48.9±7.7 km) were comparable to male dispersal distances (59.0±3.2 km). Dispersal probabilities and dispersal distances were greatest for bears in areas with high habitat suitability and low harvest density. The inverse relationship between dispersal and harvest density in black bears suggests that 1) intensive harvest promotes restricted dispersal, or 2) high black bear population density decreases the propensity to disperse. Multigenerational genetic data collected over large landscape scales can be a powerful means of characterizing dispersal patterns and causal associations with demographic and landscape features in wild populations of elusive and wide-ranging species.

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  • Jennifer A Moore & Hope M Draheim & Dwayne Etter & Scott Winterstein & Kim T Scribner, 2014. "Application of Large-Scale Parentage Analysis for Investigating Natal Dispersal in Highly Vagile Vertebrates: A Case Study of American Black Bears (Ursus americanus)," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-9, March.
  • Handle: RePEc:plo:pone00:0091168
    DOI: 10.1371/journal.pone.0091168
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    Cited by:

    1. Gantchoff, Mariela G. & Conlee, Laura & Boudreau, Melanie R. & Iglay, Raymond B. & Anderson, Charles & Belant, Jerrold L., 2022. "Spatially-explicit population modeling to predict large carnivore recovery and expansion," Ecological Modelling, Elsevier, vol. 470(C).

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