Jessica C Stanton
Jessica Stanton
Science and Products
Filter Total Items: 25
USGS telemetry database and analyses in support of SEAcarP
No abstract available.
Authors
Brent C. Knights, Marybeth K. Brey, Jessica C. Stanton, Travis J. Harrison, Timothy J. Fox, Enrika Hlavacek, James J. Duncker
Recovery planning in a dynamic system: Integrating uncertainty into a decision support tool for an endangered songbird
Along the Santa Clara River in California, populations of the federally and state-listed Least Bell's Vireo (Vireo bellii pusillus) are recovering from near extirpation. Habitat protection and restoration, as well as controlling rates of brood parasitism, are thought to be the primary drivers of this recovery. Continuing successful management of this population faces multiple challenges due to the
Authors
Jessica Stanton, Jenny Marek, Linnea S. Hall, Barbara E. Kus, Allison Alvarado, Bruce K. Orr, Eric Morrissette, Laura Riege, Wayne E. Thogmartin
Decline of the North American avifauna
Species extinctions have defined the global biodiversity crisis, but extinction begins with loss in abundance of organisms that can result in extreme compositional and functional changes of ecosystems. Using multiple and independent monitoring networks, we report major population losses across much of the North American avifauna, including in once common species and from nearly every biome. Integr
Authors
John R. Sauer, Kenneth V. Rosenberg, Adriaan M. Dokter, Peter J. Blancher, Adam C. Smith, Paul A. Smith, Jessica C. Stanton, Arvind O. Panjabi, Laura Helft, Michael J. Parr, Peter P. Marra
Evaluation of an acoustic fish deterrent system in shallow water application at the Emiquon Preserve, Lewistown, IL.
Expansion of non-native fish have caused ecological and economic damage and can negatively impact native fish populations. Current research on deterrent technologies for bighead Hypophthalmichthys nobilis and silver carp H. molitrix have primarily focused on reducing upstream movement in large river lock approaches. However, there is also interest in excluding carp from smaller-scale locations. A
Authors
James J. Wamboldt, Kelsie A. Murchy, Jessica C. Stanton, K. Douglas Blodgett, Marybeth K. Brey
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 of their life cycle. The methodology is currently ap
Authors
James E. Diffendorfer, J.A. Beston, Matthew D. Merrill, Jessica C. Stanton, M.D. Corum, S.R. Loss, W.E. Thogmartin, D.H. Johnson, R.A. Erickson, K.W. Heist
Handbook to the partners in flight population estimates database, version 3.0
This document describes the content of Version 3.0 of the Partners in Flight (PIF) Population Estimates Database, which provides population estimates for breeding USA/Canada landbirds at several geographic scales following the Partners in Flight approach described initially in Rich et al. (2004) and by Rosenberg and Blancher (2005) and most recently refined by Stanton et al. (2019). The Handbook a
Authors
Tom Will, Jessica C. Stanton, Kenneth V. Rosenberg, Arvind O. Panjabi, Alaine Camfield, Allison Shaw, Wayne E. Thogmartin, Peter J. Blancher
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, but have also been used by others for a range of a
Authors
Jessica C. Stanton, Peter J. Blancher, Kenneth V. Rosenberg, Arvind O. Panjabi, Wayne E. Thogmartin
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, based on quantitative vulnerability criteria. This
Authors
Kenneth V. Rosenberg, Peter J. Blancher, Jessica C. Stanton, Arvind O. Panjabi
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 bird partners to promote coordinated conservation o
Authors
Arvind O. Panjabi, Peter J. Blancher, Wendy E. Easton, Jessica C. Stanton, Dean W. Demarest, Randy Dettmers, Kenneth V. Rosenberg
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 population status and trend caused by collisions with wind
Authors
James E. Diffendorfer, Julie A. Beston, Matthew D. Merrill, Jessica C. Stanton, M.D. Corum, Scott R. Loss, Wayne E. Thogmartin, Douglas H. Johnson, Richard A. Erickson, Kevin W. Heist
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 source of variation whereas individual-based models, wh
Authors
Richard A. Erickson, Eric A. Eager, Jessica C. Stanton, Julie A. Beston, James E. Diffendorfer, Wayne E. Thogmartin
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-fits-all schemes may not always be the best approac
Authors
Jessica C. Stanton, Brice X. Semmens, Patrick C. McKann, Tom Will, Wayne E. Thogmartin
Science and Products
Filter Total Items: 25
USGS telemetry database and analyses in support of SEAcarP
No abstract available.
Authors
Brent C. Knights, Marybeth K. Brey, Jessica C. Stanton, Travis J. Harrison, Timothy J. Fox, Enrika Hlavacek, James J. Duncker
Recovery planning in a dynamic system: Integrating uncertainty into a decision support tool for an endangered songbird
Along the Santa Clara River in California, populations of the federally and state-listed Least Bell's Vireo (Vireo bellii pusillus) are recovering from near extirpation. Habitat protection and restoration, as well as controlling rates of brood parasitism, are thought to be the primary drivers of this recovery. Continuing successful management of this population faces multiple challenges due to the
Authors
Jessica Stanton, Jenny Marek, Linnea S. Hall, Barbara E. Kus, Allison Alvarado, Bruce K. Orr, Eric Morrissette, Laura Riege, Wayne E. Thogmartin
Decline of the North American avifauna
Species extinctions have defined the global biodiversity crisis, but extinction begins with loss in abundance of organisms that can result in extreme compositional and functional changes of ecosystems. Using multiple and independent monitoring networks, we report major population losses across much of the North American avifauna, including in once common species and from nearly every biome. Integr
Authors
John R. Sauer, Kenneth V. Rosenberg, Adriaan M. Dokter, Peter J. Blancher, Adam C. Smith, Paul A. Smith, Jessica C. Stanton, Arvind O. Panjabi, Laura Helft, Michael J. Parr, Peter P. Marra
Evaluation of an acoustic fish deterrent system in shallow water application at the Emiquon Preserve, Lewistown, IL.
Expansion of non-native fish have caused ecological and economic damage and can negatively impact native fish populations. Current research on deterrent technologies for bighead Hypophthalmichthys nobilis and silver carp H. molitrix have primarily focused on reducing upstream movement in large river lock approaches. However, there is also interest in excluding carp from smaller-scale locations. A
Authors
James J. Wamboldt, Kelsie A. Murchy, Jessica C. Stanton, K. Douglas Blodgett, Marybeth K. Brey
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 of their life cycle. The methodology is currently ap
Authors
James E. Diffendorfer, J.A. Beston, Matthew D. Merrill, Jessica C. Stanton, M.D. Corum, S.R. Loss, W.E. Thogmartin, D.H. Johnson, R.A. Erickson, K.W. Heist
Handbook to the partners in flight population estimates database, version 3.0
This document describes the content of Version 3.0 of the Partners in Flight (PIF) Population Estimates Database, which provides population estimates for breeding USA/Canada landbirds at several geographic scales following the Partners in Flight approach described initially in Rich et al. (2004) and by Rosenberg and Blancher (2005) and most recently refined by Stanton et al. (2019). The Handbook a
Authors
Tom Will, Jessica C. Stanton, Kenneth V. Rosenberg, Arvind O. Panjabi, Alaine Camfield, Allison Shaw, Wayne E. Thogmartin, Peter J. Blancher
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, but have also been used by others for a range of a
Authors
Jessica C. Stanton, Peter J. Blancher, Kenneth V. Rosenberg, Arvind O. Panjabi, Wayne E. Thogmartin
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, based on quantitative vulnerability criteria. This
Authors
Kenneth V. Rosenberg, Peter J. Blancher, Jessica C. Stanton, Arvind O. Panjabi
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 bird partners to promote coordinated conservation o
Authors
Arvind O. Panjabi, Peter J. Blancher, Wendy E. Easton, Jessica C. Stanton, Dean W. Demarest, Randy Dettmers, Kenneth V. Rosenberg
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 population status and trend caused by collisions with wind
Authors
James E. Diffendorfer, Julie A. Beston, Matthew D. Merrill, Jessica C. Stanton, M.D. Corum, Scott R. Loss, Wayne E. Thogmartin, Douglas H. Johnson, Richard A. Erickson, Kevin W. Heist
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 source of variation whereas individual-based models, wh
Authors
Richard A. Erickson, Eric A. Eager, Jessica C. Stanton, Julie A. Beston, James E. Diffendorfer, Wayne E. Thogmartin
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-fits-all schemes may not always be the best approac
Authors
Jessica C. Stanton, Brice X. Semmens, Patrick C. McKann, Tom Will, Wayne E. Thogmartin