Conservation Genetics

, Volume 20, Issue 4, pp 743–757 | Cite as

History matters: contemporary versus historic population structure of bobcats in the New England region, USA

  • Rory P. CarrollEmail author
  • Marian K. Litvaitis
  • Sarah J. Clements
  • Clark L. Stevens
  • John A. Litvaitis
Research Article


Habitat fragmentation and genetic bottlenecks can have substantial impacts on the health and management of wildlife species by lowering diversity and subdividing populations. Population genetic comparisons across time periods can help elucidate temporal changes in populations and the processes responsible for the changes. Bobcats (Lynx rufus) are wide-ranging carnivores and are currently increasing in abundance across an expanding range. Bobcat populations in New England have fluctuated in the past century in response to changes in their prey base, harvest pressure, and landscape development. We genotyped contemporary (2010–2017) and historic (1952–1964) bobcats from New England and Quebec, Canada at a suite of microsatellite loci and tested for differences in diversity, effective population size, and gene flow. Over 20 generations separated the sampling periods, and the intervening years were marked by drastic changes in land use and species management regimes. We found a general decrease in genetic diversity and differing population genetic structure through time. Effective population size decreased at the end of the historic period, coincident with a spike in harvest, but rebounded to greater numbers in the contemporary period. Our results suggest that bobcat populations in the region are robust, but development and range dynamics may play a significant role in population structure. Our study also highlights the benefits of a historical perspective in interpreting contemporary population genetic data.


Temporal genetics Bottleneck Fragmentation Land use change Wildlife management Lynx rufus 



We thank Patrick Tate at New Hampshire Fish and Game Department, Chris Bernier at Vermont Fish and Wildlife Department, Laura Conlee and Susan McCarthy at Massachusetts Division of Fisheries and Wildlife, Eric Jaccard and Florent Lemieux at Quebec Ministry of Forests, Wildlife, and Parks, Tom Crews, and Randy Shoe for providing samples, as well as Brittaney Buchanan, Amanda Cugno, and Casey Coupe for assistance with sample processing. RPC was supported in part, by a National Science Foundation Graduate Research Fellowship (Grant Number 147766). Partial funding was provided by the New Hampshire Agricultural Experiment Station. This is Scientific Contribution Number 2799. This work is supported by the United States Department of Agriculture National Institute of Food and Agriculture McIntire-Stennis Projects (233076 and 1009906). The microsatellite datasets analyzed for this study are available in the Dryad Repository,


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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Department of Natural Resources and the EnvironmentUniversity of New HampshireDurhamUSA
  2. 2.School of Natural ResourcesUniversity of MissouriColumbiaUSA
  3. 3.Bellamy Wildlife InvestigationsMadburyUSA

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