Editorial Type:
Article Category: Research Article
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Online Publication Date: 19 Oct 2018

Sensitivity Analysis Using Site-Specific Demographic Parameters to Guide Research and Management of Threatened Eastern Massasaugas

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Page Range: 600 – 610
DOI: 10.1643/OT-18-059
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Long-term demographic data are important for conserving populations of threatened and endangered species. Collecting data specific to the population of interest can improve conservation success by allowing managers to make informed decisions, evaluate the efficacy of habitat management, and assess extinction risk. Population viability analysis (PVA), a tool commonly used to estimate extinction risk in threatened populations, is most informative when precise, population-specific data are available. We used mark-recapture data spanning ten years (2008–2017) to estimate annual adult survival rates in a population of threatened Eastern Massasauga rattlesnakes (Sistrurus catenatus) in Barry County, Michigan. Using these survival estimates and ten additional parameter values obtained from our site and a nearby population, we modeled population viability over the next 100 years. We performed sensitivity analysis using Latin hypercube sampling, followed by logistic regression to assess the relative influence of model parameters on extinction risk. We estimated annual apparent survival rates of 0.79 (95% CI = 0.69–0.87) for adult males and 0.78 (95% CI = 0.69–0.85) for adult females, which are higher than expected given the population's locality. Results of our sensitivity analysis suggest that actions promoting high survival of adult females should be a management priority, followed by activities that facilitate high reproductive output and neonate survival. We recommend focusing future research and monitoring efforts on these parameters.

Copyright: © 2018 by the American Society of Ichthyologists and Herpetologists
<bold>Fig. 1</bold>
Fig. 1

Study site location in Barry County, Michigan (black) within the Eastern Massasauga's historical geographic range (gray). Reproduced with modifications from Jaeger et al. (2016) with permission granted by Collin P. Jaeger.


<bold>Fig. 2</bold>
Fig. 2

Global sensitivity analysis of model parameters used in an Eastern Massasauga population viability analysis, Barry County, Michigan. We modeled the results from Latin hypercube sampling using simple logistic regression to evaluate the relative influence of each parameter on extinction probability. The top four parameters were (A) adult female mortality, (B) litter size, (C) mean percent of females breeding/year, and (D) mortality of the 0–1 age class.


Contributor Notes

Associate Editor: C. Bevier.

Received: 04 May 2018
Accepted: 11 Sept 2018
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