Evan Grant, Ph.D.
Evan Grant the principle investigator of the US Geological Survey’s Amphibian Research and Monitoring Initiative (ARMI), northeast region.
Evan's research focuses on questions relating to amphibian populations, specifically with respect to their landscape-scale ecology. Evan also uses decision science to aid resource managers.
Education:
- PhD, 2009, University of Maryland College Park, Program of Marine, Estuarine and Environmental Sciences and Department of Entomology
- BS, 2001, Cornell University, Natural Resources, with Distinction in Research
Science and Products
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Climate-mediated competition in a high-elevation salamander community Climate-mediated competition in a high-elevation salamander community
The distribution of the federally endangered Shenandoah Salamander (Plethodon shenandoah) is presumed to be limited by competition with the Red-backed Salamander (Plethodon cinereus). In particular, the current distribution of P. shenandoah is understood to be restricted to warmer and drier habitats because of interspecific interactions. These habitats may be particularly sensitive to...
Authors
Eric A. Dallalio, Adrianne B. Brand, Evan H. Campbell Grant
A framework for modeling emerging diseases to inform management A framework for modeling emerging diseases to inform management
The rapid emergence and reemergence of zoonotic diseases requires the ability to rapidly evaluate and implement optimal management decisions. Actions to control or mitigate the effects of emerging pathogens are commonly delayed because of uncertainty in the estimates and the predicted outcomes of the control tactics. The development of models that describe the best-known information...
Authors
Robin E. Russell, Rachel A. Katz, Katherine L. D. Richgels, Daniel P. Walsh, Evan H. Campbell Grant
Uncertainty in biological monitoring: a framework for data collection and analysis to account for multiple sources of sampling bias Uncertainty in biological monitoring: a framework for data collection and analysis to account for multiple sources of sampling bias
Biological monitoring programmes are increasingly relying upon large volumes of citizen-science data to improve the scope and spatial coverage of information, challenging the scientific community to develop design and model-based approaches to improve inference.Recent statistical models in ecology have been developed to accommodate false-negative errors, although current work points to...
Authors
Viviana Ruiz-Gutierrez, Melvin B. Hooten, Evan H. Campbell Grant
Southeast regional and state trends in anuran occupancy from calling survey data (2001-2013) from the North American Amphibian Monitoring Program Southeast regional and state trends in anuran occupancy from calling survey data (2001-2013) from the North American Amphibian Monitoring Program
We present the first regional trends in anuran occupancy for eight states of the southeastern United States, based on 13 y (2001–2013) of North American Amphibian Monitoring Program (NAAMP) data. The NAAMP is a longterm monitoring program in which observers collect anuran calling observation data at fixed locations along random roadside routes. We assessed occupancy trends for 14 species...
Authors
Oswaldo Villena Carpio, J. Andrew Royle, Linda Weir, Tasha M. Foreman, Kimberly D. Gazenski, Evan H. Campbell Grant
Quantitative evidence for the effects of multiple drivers on continental-scale amphibian declines Quantitative evidence for the effects of multiple drivers on continental-scale amphibian declines
Since amphibian declines were first proposed as a global phenomenon over a quarter century ago, the conservation community has made little progress in halting or reversing these trends. The early search for a “smoking gun” was replaced with the expectation that declines are caused by multiple drivers. While field observations and experiments have identified factors leading to increased...
Authors
Evan H. Campbell Grant, David A. W. Miller, Benedikt R. Schmidt, M. J. Adams, Staci M. Amburgey, Thierry A. Chambert, Sam S. Cruickshank, Robert N. Fisher, David M. Green, Blake R. Hossack, Pieter T.J. Johnson, Maxwell B. Joseph, Tracy A. G. Rittenhouse, Maureen E. Ryan, J. Hardin Waddle, Susan C. Walls, Larissa L. Bailey, Gary M. Fellers, Thomas A. Gorman, Andrew M. Ray, David S. Pilliod, Steven J. Price, Daniel Saenz, Walt Sadinski, Erin L. Muths
Spatial capture-recapture: a promising method for analyzing data collected using artificial cover objects Spatial capture-recapture: a promising method for analyzing data collected using artificial cover objects
Spatial capture–recapture (SCR) is a relatively recent development in ecological statistics that provides a spatial context for estimating abundance and space use patterns, and improves inference about absolute population density. SCR has been applied to individual encounter data collected noninvasively using methods such as camera traps, hair snares, and scat surveys. Despite the...
Authors
Chris Sutherland, David Munoz, David A.W. Miller, Evan H. Campbell Grant
Filter Total Items: 15
Science and Products
Filter Total Items: 21
Filter Total Items: 28
No Result Found
Filter Total Items: 148
Climate-mediated competition in a high-elevation salamander community Climate-mediated competition in a high-elevation salamander community
The distribution of the federally endangered Shenandoah Salamander (Plethodon shenandoah) is presumed to be limited by competition with the Red-backed Salamander (Plethodon cinereus). In particular, the current distribution of P. shenandoah is understood to be restricted to warmer and drier habitats because of interspecific interactions. These habitats may be particularly sensitive to...
Authors
Eric A. Dallalio, Adrianne B. Brand, Evan H. Campbell Grant
A framework for modeling emerging diseases to inform management A framework for modeling emerging diseases to inform management
The rapid emergence and reemergence of zoonotic diseases requires the ability to rapidly evaluate and implement optimal management decisions. Actions to control or mitigate the effects of emerging pathogens are commonly delayed because of uncertainty in the estimates and the predicted outcomes of the control tactics. The development of models that describe the best-known information...
Authors
Robin E. Russell, Rachel A. Katz, Katherine L. D. Richgels, Daniel P. Walsh, Evan H. Campbell Grant
Uncertainty in biological monitoring: a framework for data collection and analysis to account for multiple sources of sampling bias Uncertainty in biological monitoring: a framework for data collection and analysis to account for multiple sources of sampling bias
Biological monitoring programmes are increasingly relying upon large volumes of citizen-science data to improve the scope and spatial coverage of information, challenging the scientific community to develop design and model-based approaches to improve inference.Recent statistical models in ecology have been developed to accommodate false-negative errors, although current work points to...
Authors
Viviana Ruiz-Gutierrez, Melvin B. Hooten, Evan H. Campbell Grant
Southeast regional and state trends in anuran occupancy from calling survey data (2001-2013) from the North American Amphibian Monitoring Program Southeast regional and state trends in anuran occupancy from calling survey data (2001-2013) from the North American Amphibian Monitoring Program
We present the first regional trends in anuran occupancy for eight states of the southeastern United States, based on 13 y (2001–2013) of North American Amphibian Monitoring Program (NAAMP) data. The NAAMP is a longterm monitoring program in which observers collect anuran calling observation data at fixed locations along random roadside routes. We assessed occupancy trends for 14 species...
Authors
Oswaldo Villena Carpio, J. Andrew Royle, Linda Weir, Tasha M. Foreman, Kimberly D. Gazenski, Evan H. Campbell Grant
Quantitative evidence for the effects of multiple drivers on continental-scale amphibian declines Quantitative evidence for the effects of multiple drivers on continental-scale amphibian declines
Since amphibian declines were first proposed as a global phenomenon over a quarter century ago, the conservation community has made little progress in halting or reversing these trends. The early search for a “smoking gun” was replaced with the expectation that declines are caused by multiple drivers. While field observations and experiments have identified factors leading to increased...
Authors
Evan H. Campbell Grant, David A. W. Miller, Benedikt R. Schmidt, M. J. Adams, Staci M. Amburgey, Thierry A. Chambert, Sam S. Cruickshank, Robert N. Fisher, David M. Green, Blake R. Hossack, Pieter T.J. Johnson, Maxwell B. Joseph, Tracy A. G. Rittenhouse, Maureen E. Ryan, J. Hardin Waddle, Susan C. Walls, Larissa L. Bailey, Gary M. Fellers, Thomas A. Gorman, Andrew M. Ray, David S. Pilliod, Steven J. Price, Daniel Saenz, Walt Sadinski, Erin L. Muths
Spatial capture-recapture: a promising method for analyzing data collected using artificial cover objects Spatial capture-recapture: a promising method for analyzing data collected using artificial cover objects
Spatial capture–recapture (SCR) is a relatively recent development in ecological statistics that provides a spatial context for estimating abundance and space use patterns, and improves inference about absolute population density. SCR has been applied to individual encounter data collected noninvasively using methods such as camera traps, hair snares, and scat surveys. Despite the...
Authors
Chris Sutherland, David Munoz, David A.W. Miller, Evan H. Campbell Grant
Filter Total Items: 15