Jessica C Stanton
Science and Products
A Methodology to Assess the National and Regional Impacts of U.S. Wind Energy Development on Birds and Bats
This scientific investigations report describes an effort by the U.S. Geological Survey (USGS) that used research, monitoring data, and modeling to develop a methodology to assess both the current and future population-level consequences of wind energy development on species of birds and bats that are present in the United States during any part...
Diffendorfer, J.E.; Beston, J.A.; Merrill, M.D.; Stanton, J.C.; Corum, M.D.; Loss, S.R.; Thogmartin, W.E.; Johnson, D.H.; Erickson, R.A.; Heist, K.W.
Estimating uncertainty of North American landbird population sizes
An important metric for many aspects of species conservation planning and risk assessment is an estimate of total population size. For landbirds breeding in North America, Partners in Flight (PIF) generates global, continental, and regional population size estimates. These estimates are an important component of the PIF species assessment process...
Stanton, J.C.; Blancher, Peter J.; Rosenberg, Kenneth V.; Panjabi, Arvind O.; Thogmartin, Wayne E. Use of North American Breeding Bird Survey data in avian conservation assessments
Conservation resources are limited, and prioritizing species based on their relative vulnerability and risk of extinction is a fundamental component of conservation planning. In North America, the conservation consortium Partners in Flight (PIF) has developed and implemented a data-driven species assessment process, at global and regional scales,...
Rosenberg, Kenneth V.; Blancher, Peter J.; Stanton, J.C.; Panjabi, Arvind O. The Partners in Flight handbook on species assessment Version 2017
Partners in Flight (PIF) is a cooperative venture of federal, state, provincial, and territorial agencies, industry, non-governmental organizations, researchers, and many others whose common goal is the conservation of North American birds (www.partnersinflight.org). While PIF has focused primarily on landbirds, it works in conjunction with other...
Panjabi, Arvind O.; Blancher, Peter J.; Easton, Wendy E.; Stanton, J.C.; Demarest, Dean W.; Dettmers, Randy; Rosenberg, Kenneth V. A method to assess the population-level consequences of wind energy facilities on bird and bat species
For this study, a methodology was developed for assessing impacts of wind energy generation on populations of birds and bats at regional to national scales. The approach combines existing methods in applied ecology for prioritizing species in terms of their potential risk from wind energy facilities and estimating impacts of fatalities on...
Diffendorfer, J.E.; Beston, Julie A.; Merrill, Matthew D.; Stanton, J.C.; Corum, M.D.; Loss, Scott R.; Thogmartin, Wayne E.; Johnson, Douglas H.; Erickson, Richard A.; Heist, Kevin W. Flexible risk metrics for identifying and monitoring conservation-priority species
Region-specific conservation programs should have objective, reliable metrics for species prioritization and progress evaluation that are customizable to the goals of a program, easy to comprehend and communicate, and standardized across time. Regional programs may have vastly different goals, spatial coverage, or management agendas, and one-size-...
Stanton, J.C.; Semmens, Brice X.; McKann, Patrick C.; Will, Tom; Thogmartin, Wayne E.
Preliminary methodology to assess the national and regional impact of U.S. wind energy development on birds and bats
The U.S. Geological Survey has developed a methodology to assess the impacts of wind energy development on wildlife; it is a probabilistic, quantitative assessment methodology that can communicate to decision makers and the public the magnitude of these effects on species populations. The methodology is currently applicable to birds and bats,...
Diffendorfer, J.E.; Beston, Julie A.; Merrill, Matthew D.; Stanton, J.C.; Corum, M.D.; Loss, Scott R.; Thogmartin, Wayne E.; Johnson, Douglas H.; Erickson, Richard A.; Heist, Kevin W. Assessing local population vulnerability to wind energy development with branching process models: an application to wind energy development
Quantifying the impact of anthropogenic development on local populations is important for conservation biology and wildlife management. However, these local populations are often subject to demographic stochasticity because of their small population size. Traditional modeling efforts such as population projection matrices do not consider this...
Erickson, Richard A.; Eager, Eric A.; Stanton, J.C.; Beston, Julie A.; Diffendorfer, J.E.; Thogmartin, Wayne E.