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Upper Midwest Environmental Sciences Center

Jessica StantonJessica Stanton

Position title: Quantitative Ecologist (Post-doctoral researcher)

Email: jcstanton@usgs.gov
Phone: 608.781.6222
Fax: 608.783.6066

Education: 
2013, Ph.D., Ecology and Evolutionary Biology, Stony Brook University, NY
2005, M.A., Applied Ecology, Stony Brook University, NY
2000, B.S., Natural Resource Ecology, University of Michigan

Primary Responsibilities/Activities:
I am primarily working on developing an analysis framework to aid in the ranking of avian species based on projected risk of decline and local extinction. At present, prioritization schemes for ranking priority or special concern status does not take population variability into account. However, this dynamic can be vitally important especially when populations are at low abundances. Additionally, I am also involved in projects related to assessing impacts of wind energy development on avian populations.

Research Interests:

Active Projects:

Select Publications:

Rosenberg, K. V., P. J. Blancher, J. C. Stanton, A. O. Panjabi. 2017. Use of breeding bird survey data in avian conservation assessments. The Condor 119: 594-606

Diffendorfer, J.E., J. A. Beston, M. D. Merrill, J. C. Stanton, M. D. Corum, S. R. Loss, W. E. Thogmartin, D. H. Johnson, R. A. Erickson, and K. W. Heist. 2017. A method to assess the population-level consequences of wind energy. In: Wind energy and wildlife interactions. Edited by J. Kӧppel, Springer. 65-76.

Stanton, J. C., B. X. Semmens, P. C. McKann, T. Will, and W. E. Thogmartin. 2016. Flexible risk metrics for identifying and monitoring conservation-priority species.Ecological Indicators 61: 683-692.

K. V. Rosenberg, J. A. Kennedy, R. Dettmers, R. P. Ford, D. Reynolds, J.D. Alexander, C. J. Beardmore, P. J. Blancher, R. E. Bogart, G. S. Butcher, A. F. Camfield, A. Couturier, D. W. Demarest, W. E. Easton, J.J. Giocomo, R.H. Keller, A. E. Mini, A. O. Panjabi, D. N. Pashley, T. D. Rich, J. M. Ruth, H. Stabins, J. Stanton, T. Will. 2016. Partners in Flight Landbird Conservation Plan: 2016 Revision for Canada and Continental United States. Partners in Flight Science Committee. 119 pp.

Cullen, L., J. C. Stanton, F. Lima, A. Uezu, M. L. L. Perilli, and H. R. Akçakaya. 2016. Implications for fine-grained habitat fragmentation and road mortality for jaguar conservation in the Atlantic forest, Brazil. PlosOne 11(12): e0167372.

Diffendorfer, J.E., J. A. Beston, M. D. Merrill, J. C. Stanton, M. D. Corum, S. R. Loss, W. E. Thogmartin, D. H. Johnson, R. A. Erickson, and K. W. Heist, 2015, Preliminary methodology to assess the national and regional impact of U.S. wind energy development on birds and bats: U.S. Geological Survey Scientific Investigations Report 2015–5066, 40 p., http://dx.doi.org/10.3133/sir20155066.

Erickson, R. A., E. A. Eager, J. C. Stanton, J. A. Beston, J. E. Diffendorfer, and W. E. Thogmartin. 2015. Assessing local population vulnerability to wind energy development with branching process models. Ecosphere: In Press.

Stanton, J. C. 2014. Present-day risk assessment would have predicted the extinction of the passenger pigeon (Ectopistes migratorius). Biological Conservation 180:11–20.

Stanton, J.C., K.T. Shoemaker, R.G., Pearson, and H.R. Akçakaya. 2014. Warning times for species extinctions due to climate change. Global Change Biology. available at:  http://onlinelibrary.wiley.com/doi/10.1111/gcb.12721/abstract

R.G. Pearson, J.C. Stanton, K. Shoemaker, M.E. Aiello-Lammens, P. Ersts, N. Horning, D.A. Fordham, C. Raxworthy, H.Y. Ryu, J. McNees, & H.R. Akçakaya, 2014. Life history and spatial traits predict extinction risk due to climate change. Nature Climate Change4, 217-221.

J. Stanton, & H.R. Akçakaya, 2013. Conservation Planning to Ensure Viability of Populations and Metapopulations. In: Conservation planning: shaping the future. Edited by F.L. Craighead & C.L. Convis Jr., ESRI Press. 271:291.

J.C Stanton, R.G. Pearson, N. Horning, P. Ersts & H.R. Akçakaya, 2012. Combining static and dynamic variables in species distribution models under climate change. Methods in Ecology and Evolution, 3, 349–357.

 

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