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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Relaxing the closure assumption in single-season occupancy models: staggered arrival and departure times Relaxing the closure assumption in single-season occupancy models: staggered arrival and departure times
Occupancy statistical models that account for imperfect detection have proved very useful in several areas of ecology, including species distribution and spatial dynamics, disease ecology, and ecological responses to climate change. These models are based on the collection of multiple samples at each of a number of sites within a given season, during which it is assumed the species is...
Authors
William L. Kendall, James E. Hines, James D. Nichols, Evan H. Campbell Grant
Trends in amphibian occupancy in the United States Trends in amphibian occupancy in the United States
Though a third of amphibian species worldwide are thought to be imperiled, existing assessments simply categorize extinction risk, providing little information on the rate of population losses. We conducted the first analysis of the rate of change in the probability that amphibians occupy ponds and other comparable habitat features across the United States. We found that overall...
Authors
M. J. Adams, David A.W. Miller, Erin Muths, Paul Stephen Corn, Evan H. Campbell Grant, Larissa L. Bailey, Gary M. Fellers, Robert N. Fisher, Walter J. Sadinski, Hardin Waddle, Susan C. Walls
Presence-only modeling using MAXENT: when can we trust the inferences? Presence-only modeling using MAXENT: when can we trust the inferences?
1. Recently, interest in species distribution modelling has increased following the development of new methods for the analysis of presence-only data and the deployment of these methods in user-friendly and powerful computer programs. However, reliable inference from these powerful tools requires that several assumptions be met, including the assumptions that observed presences are the...
Authors
Charles B. Yackulic, Richard Chandler, Elise F. Zipkin, J. Andrew Royle, James D. Nichols, Evan H. Campbell Grant, Sophie Veran
The state of amphibians in the United States The state of amphibians in the United States
More than 25 years ago, scientists began to identify unexplained declines in amphibian populations around the world. Much has been learned since then, but amphibian declines have not abated and the interactions among the various threats to amphibians are not clear. Amphibian decline is a problem of local, national, and international scope that can affect ecosystem function, biodiversity...
Authors
E. Muths, M.J. Adams, E.H.C. Grant, Dick Miller, P.S. Corn, L.C. Ball
Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection
The ability to accurately predict patterns of species' occurrences is fundamental to the successful management of animal communities. To determine optimal management strategies, it is essential to understand species-habitat relationships and how species habitat use is related to natural or human-induced environmental changes. Using five years of monitoring data in the Chesapeake and Ohio...
Authors
Elise F. Zipkin, Evan H. Campbell Grant, William F. Fagan
Experimental investigation of false positive errors in auditory species occurrence surveys Experimental investigation of false positive errors in auditory species occurrence surveys
False positive errors are a significant component of many ecological data sets, which in combination with false negative errors, can lead to severe biases in conclusions about ecological systems. We present results of a field experiment where observers recorded observations for known combinations of electronically broadcast calling anurans under conditions mimicking field surveys to...
Authors
David A.W. Miller, Linda A. Weir, Brett T. McClintock, Evan H. Campbell Grant, Larissa L. Bailey, Theodore R. Simons
Filter Total Items: 18
Science and Products
Filter Total Items: 21
Filter Total Items: 28
No Result Found
Filter Total Items: 149
Relaxing the closure assumption in single-season occupancy models: staggered arrival and departure times Relaxing the closure assumption in single-season occupancy models: staggered arrival and departure times
Occupancy statistical models that account for imperfect detection have proved very useful in several areas of ecology, including species distribution and spatial dynamics, disease ecology, and ecological responses to climate change. These models are based on the collection of multiple samples at each of a number of sites within a given season, during which it is assumed the species is...
Authors
William L. Kendall, James E. Hines, James D. Nichols, Evan H. Campbell Grant
Trends in amphibian occupancy in the United States Trends in amphibian occupancy in the United States
Though a third of amphibian species worldwide are thought to be imperiled, existing assessments simply categorize extinction risk, providing little information on the rate of population losses. We conducted the first analysis of the rate of change in the probability that amphibians occupy ponds and other comparable habitat features across the United States. We found that overall...
Authors
M. J. Adams, David A.W. Miller, Erin Muths, Paul Stephen Corn, Evan H. Campbell Grant, Larissa L. Bailey, Gary M. Fellers, Robert N. Fisher, Walter J. Sadinski, Hardin Waddle, Susan C. Walls
Presence-only modeling using MAXENT: when can we trust the inferences? Presence-only modeling using MAXENT: when can we trust the inferences?
1. Recently, interest in species distribution modelling has increased following the development of new methods for the analysis of presence-only data and the deployment of these methods in user-friendly and powerful computer programs. However, reliable inference from these powerful tools requires that several assumptions be met, including the assumptions that observed presences are the...
Authors
Charles B. Yackulic, Richard Chandler, Elise F. Zipkin, J. Andrew Royle, James D. Nichols, Evan H. Campbell Grant, Sophie Veran
The state of amphibians in the United States The state of amphibians in the United States
More than 25 years ago, scientists began to identify unexplained declines in amphibian populations around the world. Much has been learned since then, but amphibian declines have not abated and the interactions among the various threats to amphibians are not clear. Amphibian decline is a problem of local, national, and international scope that can affect ecosystem function, biodiversity...
Authors
E. Muths, M.J. Adams, E.H.C. Grant, Dick Miller, P.S. Corn, L.C. Ball
Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection Evaluating the predictive abilities of community occupancy models using AUC while accounting for imperfect detection
The ability to accurately predict patterns of species' occurrences is fundamental to the successful management of animal communities. To determine optimal management strategies, it is essential to understand species-habitat relationships and how species habitat use is related to natural or human-induced environmental changes. Using five years of monitoring data in the Chesapeake and Ohio...
Authors
Elise F. Zipkin, Evan H. Campbell Grant, William F. Fagan
Experimental investigation of false positive errors in auditory species occurrence surveys Experimental investigation of false positive errors in auditory species occurrence surveys
False positive errors are a significant component of many ecological data sets, which in combination with false negative errors, can lead to severe biases in conclusions about ecological systems. We present results of a field experiment where observers recorded observations for known combinations of electronically broadcast calling anurans under conditions mimicking field surveys to...
Authors
David A.W. Miller, Linda A. Weir, Brett T. McClintock, Evan H. Campbell Grant, Larissa L. Bailey, Theodore R. Simons
Filter Total Items: 18