Allison Benscoter
Allison Benscoter is a quantitative ecologist and geographic information specialist who focuses on ecological restoration and wildlife conservation at the USGS Wetland and Aquatic Research Center.
Research areas include applying geospatial techniques to understand species responses to environmental variation, habitat suitability modeling, animal home range analyses, and plant ecophysiology.
Education and Certifications
M.S. in Plant Biology from Southern Illinois University – Carbondale
B.A. in Environmental Studies from Saint Olaf College
Science and Products
Filter Total Items: 22
Ecological Model Support for the Western Everglades Restoration Project (WERP) Round One of Four, 2018 Ecological Model Support for the Western Everglades Restoration Project (WERP) Round One of Four, 2018
Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to...
Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Two of Four, 2018 Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Two of Four, 2018
Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to...
Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Three of Four, 2019 Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Three of Four, 2019
Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to...
Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Four of Four, 2020 Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Four of Four, 2020
Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to...
Ecological Model Support for RECOVER's Update of Interim Goals, 2019 Ecological Model Support for RECOVER's Update of Interim Goals, 2019
Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to...
EverSparrow model scripts and outputs EverSparrow model scripts and outputs
EverSparrow is a spatially explicit Bayesian model of Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS) presence that quantifies the interdependent relationships between a range of environmental factors and CSSS presence. Using hydrologic conditions such as mean 4-year hydroperiod and maximum depth, fire occurrence history, and vegetation structure throughout the range of...
Filter Total Items: 19
Fire disturbance influences endangered Cape Sable Seaside Sparrow (Ammopiza maritima mirabilis) relative bird count Fire disturbance influences endangered Cape Sable Seaside Sparrow (Ammopiza maritima mirabilis) relative bird count
Periodicity of fire disturbance is a known driver of ecosystem function and is reported as important in both promoting and maintaining viable breeding habitat for the endangered Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS). In south Florida, the CSSS serves as a fine-scale indicator of the marl and mixed-marl prairie communities of the Florida Everglades. The CSSS...
Authors
Allison Benscoter, James Beerens, Leonard G. Pearlstine, Stephanie Romanach
Satellite tracking of hawksbill turtles nesting at Buck Island Reef National Monument, US Virgin Islands: Inter-nesting and foraging period movements and migrations Satellite tracking of hawksbill turtles nesting at Buck Island Reef National Monument, US Virgin Islands: Inter-nesting and foraging period movements and migrations
To conserve imperiled marine species, an understanding of high-density use zones is necessary prior to designing and evaluating management strategies that improve their survival. We satellite-tracked turtles captured after nesting at Buck Island ReefNational Monument (BIRNM), St. Croix, US Virgin Islands to determine habitat-use patterns of endangered adult female hawksbills...
Authors
Kristen M. Hart, Autumn Iverson, Allison Benscoter, Ikuko Fujisaki, Michael S. Cherkiss, Clayton Pollock, Ian Lundgren, Zandy Hillis-Starr
Resident areas and migrations of female green turtles nesting at Buck Island Reef National Monument, St. Croix, U.S. Virgin Islands Resident areas and migrations of female green turtles nesting at Buck Island Reef National Monument, St. Croix, U.S. Virgin Islands
Satellite tracking in marine turtle studies can reveal much about their spatial use of breeding areas, migration zones, and foraging sites. We assessed spatial habitat-use patterns of 10 adult female green turtles (Chelonia mydas) nesting at Buck Island Reef National Monument, U.S. Virgin Islands (BIRNM) from 2011 – 2014. Turtles ranged in size from 89.0 – 115.9 cm CCL (mean + SD = 106.8...
Authors
Kristen M. Hart, Autumn Iverson, Allison M. Benscoter, Ikuko Fujisaki, Michael S. Cherkiss, Clayton Pollock, Ian Lundgren, Zandy Hillis-Starr
Comparison of climate envelope models developed using expert-selected variables versus statistical selection Comparison of climate envelope models developed using expert-selected variables versus statistical selection
Climate envelope models are widely used to describe potential future distribution of species under different climate change scenarios. It is broadly recognized that there are both strengths and limitations to using climate envelope models and that outcomes are sensitive to initial assumptions, inputs, and modeling methods Selection of predictor variables, a central step in modeling, is...
Authors
Laura A. Brandt, Allison Benscoter, Rebecca G. Harvey, Carolina Speroterra, David N. Bucklin, Stephanie S. Romanach, James I. Watling, Frank J. Mazzotti
Value-focused framework for defining landscape-scale conservation targets Value-focused framework for defining landscape-scale conservation targets
Conservation of natural resources can be challenging in a rapidly changing world and require collaborative efforts for success. Conservation planning is the process of deciding how to protect, conserve, and enhance or minimize loss of natural and cultural resources. Establishing conservation targets (also called indicators or endpoints), the measurable expressions of desired resource...
Authors
Stephanie S. Romanach, Allison M. Benscoter, Laura A. Brandt
Comparing species distribution models constructed with different subsets of environmental predictors Comparing species distribution models constructed with different subsets of environmental predictors
Aim To assess the usefulness of combining climate predictors with additional types of environmental predictors in species distribution models for range-restricted species, using common correlative species distribution modelling approaches. Location Florida, USA Methods We used five different algorithms to create distribution models for 14 vertebrate species, using seven different...
Authors
David N. Bucklin, Mathieu Basille, Allison M. Benscoter, Laura A. Brandt, Frank J. Mazzotti, Stephanie S. Romañach, Carolina Speroterra, James I. Watling
Science and Products
Filter Total Items: 22
Ecological Model Support for the Western Everglades Restoration Project (WERP) Round One of Four, 2018 Ecological Model Support for the Western Everglades Restoration Project (WERP) Round One of Four, 2018
Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to...
Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Two of Four, 2018 Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Two of Four, 2018
Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to...
Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Three of Four, 2019 Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Three of Four, 2019
Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to...
Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Four of Four, 2020 Ecological Model Support for the Western Everglades Restoration Project (WERP) Round Four of Four, 2020
Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to...
Ecological Model Support for RECOVER's Update of Interim Goals, 2019 Ecological Model Support for RECOVER's Update of Interim Goals, 2019
Ecological models facilitate evaluation and assessment of alternative approaches to restore the Greater Everglades ecosystem. However, the provision of useful and accessible models is a challenge because there is often a disconnect between model output and its use by decision makers. Joint Ecosystem Modeling (JEM) meets this challenge by providing ecological model output tailored to...
EverSparrow model scripts and outputs EverSparrow model scripts and outputs
EverSparrow is a spatially explicit Bayesian model of Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS) presence that quantifies the interdependent relationships between a range of environmental factors and CSSS presence. Using hydrologic conditions such as mean 4-year hydroperiod and maximum depth, fire occurrence history, and vegetation structure throughout the range of...
Filter Total Items: 19
Fire disturbance influences endangered Cape Sable Seaside Sparrow (Ammopiza maritima mirabilis) relative bird count Fire disturbance influences endangered Cape Sable Seaside Sparrow (Ammopiza maritima mirabilis) relative bird count
Periodicity of fire disturbance is a known driver of ecosystem function and is reported as important in both promoting and maintaining viable breeding habitat for the endangered Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS). In south Florida, the CSSS serves as a fine-scale indicator of the marl and mixed-marl prairie communities of the Florida Everglades. The CSSS...
Authors
Allison Benscoter, James Beerens, Leonard G. Pearlstine, Stephanie Romanach
Satellite tracking of hawksbill turtles nesting at Buck Island Reef National Monument, US Virgin Islands: Inter-nesting and foraging period movements and migrations Satellite tracking of hawksbill turtles nesting at Buck Island Reef National Monument, US Virgin Islands: Inter-nesting and foraging period movements and migrations
To conserve imperiled marine species, an understanding of high-density use zones is necessary prior to designing and evaluating management strategies that improve their survival. We satellite-tracked turtles captured after nesting at Buck Island ReefNational Monument (BIRNM), St. Croix, US Virgin Islands to determine habitat-use patterns of endangered adult female hawksbills...
Authors
Kristen M. Hart, Autumn Iverson, Allison Benscoter, Ikuko Fujisaki, Michael S. Cherkiss, Clayton Pollock, Ian Lundgren, Zandy Hillis-Starr
Resident areas and migrations of female green turtles nesting at Buck Island Reef National Monument, St. Croix, U.S. Virgin Islands Resident areas and migrations of female green turtles nesting at Buck Island Reef National Monument, St. Croix, U.S. Virgin Islands
Satellite tracking in marine turtle studies can reveal much about their spatial use of breeding areas, migration zones, and foraging sites. We assessed spatial habitat-use patterns of 10 adult female green turtles (Chelonia mydas) nesting at Buck Island Reef National Monument, U.S. Virgin Islands (BIRNM) from 2011 – 2014. Turtles ranged in size from 89.0 – 115.9 cm CCL (mean + SD = 106.8...
Authors
Kristen M. Hart, Autumn Iverson, Allison M. Benscoter, Ikuko Fujisaki, Michael S. Cherkiss, Clayton Pollock, Ian Lundgren, Zandy Hillis-Starr
Comparison of climate envelope models developed using expert-selected variables versus statistical selection Comparison of climate envelope models developed using expert-selected variables versus statistical selection
Climate envelope models are widely used to describe potential future distribution of species under different climate change scenarios. It is broadly recognized that there are both strengths and limitations to using climate envelope models and that outcomes are sensitive to initial assumptions, inputs, and modeling methods Selection of predictor variables, a central step in modeling, is...
Authors
Laura A. Brandt, Allison Benscoter, Rebecca G. Harvey, Carolina Speroterra, David N. Bucklin, Stephanie S. Romanach, James I. Watling, Frank J. Mazzotti
Value-focused framework for defining landscape-scale conservation targets Value-focused framework for defining landscape-scale conservation targets
Conservation of natural resources can be challenging in a rapidly changing world and require collaborative efforts for success. Conservation planning is the process of deciding how to protect, conserve, and enhance or minimize loss of natural and cultural resources. Establishing conservation targets (also called indicators or endpoints), the measurable expressions of desired resource...
Authors
Stephanie S. Romanach, Allison M. Benscoter, Laura A. Brandt
Comparing species distribution models constructed with different subsets of environmental predictors Comparing species distribution models constructed with different subsets of environmental predictors
Aim To assess the usefulness of combining climate predictors with additional types of environmental predictors in species distribution models for range-restricted species, using common correlative species distribution modelling approaches. Location Florida, USA Methods We used five different algorithms to create distribution models for 14 vertebrate species, using seven different...
Authors
David N. Bucklin, Mathieu Basille, Allison M. Benscoter, Laura A. Brandt, Frank J. Mazzotti, Stephanie S. Romañach, Carolina Speroterra, James I. Watling