Jennifer L. Stenglein, Ph.D.

Affiliations: 
2014 Wildlife Ecology University of Wisconsin, Madison, Madison, WI 
Area:
Wildlife Management Agriculture, Wildlife Conservation Agriculture, Natural Resource Management
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"Jennifer Stenglein"

Parents

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Timothy V. Deelen grad student 2014 UW Madison
 (Survival of Wisconsin's gray wolves from endangered to harvested, 1980 -- 2013.)
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Publications

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Gilbert NA, Clare JD, Stenglein JL, et al. (2020) Abundance estimation methods for unmarked animals with camera traps. Conservation Biology : the Journal of the Society For Conservation Biology
Clare JDJ, Townsend PA, Anhalt-Depies C, et al. (2019) Making inference with messy (citizen science) data: when are data accurate enough and how can they be improved? Ecological Applications : a Publication of the Ecological Society of America. e01849
Stenglein JL, Wydeven AP, Van Deelen TR. (2018) Compensatory mortality in a recovering top carnivore: wolves in Wisconsin, USA (1979-2013). Oecologia
Ausband DE, Mitchell MS, Stansbury CR, et al. (2017) Harvest and group effects on pup survival in a cooperative breeder. Proceedings. Biological Sciences. 284
Warbington CH, Van Deelen TR, Norton AS, et al. (2017) Cause-specific neonatal mortality of white-tailed deer in Wisconsin, USA The Journal of Wildlife Management. 81: 824-833
Stenglein JL, Van Deelen TR. (2016) Demographic and Component Allee Effects in Southern Lake Superior Gray Wolves. Plos One. 11: e0150535
Stenglein JL, Zhu J, Clayton MK, et al. (2015) Are the numbers adding up? Exploiting discrepancies among complementary population models. Ecology and Evolution. 5: 368-76
Olson ER, Stenglein JL, Shelley V, et al. (2015) Pendulum Swings in Wolf Management Led to Conflict, Illegal Kills, and a Legislated Wolf Hunt Conservation Letters. 8: 351-360
Ausband DE, Stansbury CR, Stenglein JL, et al. (2015) Recruitment in a social carnivore before and after harvest Animal Conservation
Stenglein JL, Gilbert JH, Wydeven AP, et al. (2015) An individual-based model for southern Lake Superior wolves: A tool to explore the effect of human-caused mortality on a landscape of risk Ecological Modelling. 302: 13-24
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