Alexa J. McKerrow, PhD (Former Employee)
Science and Products
Filter Total Items: 1731
Mt. Lyell Shrew (Sorex lyelli) mMLSHx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Mt. Lyell Shrew. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Nelson's Antelope Squirrel (Ammospermophilus nelsoni) mNASQx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Nelson's Antelope Squirrel. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Meadow Vole (Microtus pennsylvanicus) mMEVOx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Meadow Vole. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Montane Vole (Microtus montanus) mMOVOx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Montane Vole. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Gray-collared Chipmunk (Tamias cinereicollis) mGCCHx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Gray-collared Chipmunk. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Southern Mountain Yellow-legged Frog (Rana muscosa) aSMFRx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Southern Mountain Yellow-legged Frog. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Piute Ground Squirrel (Urocitellus mollis) mPGSQx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Piute Ground Squirrel. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Columbia Spotted Frog (Rana luteiventris) aCOFRx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Columbia Spotted Frog. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Cave Swallow (Petrochelidon fulva) bCASWx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Cave Swallow. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Brown Creeper (Certhia americana) bBRCRx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Brown Creeper. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Barn Swallow (Hirundo rustica) bBARSx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Barn Swallow. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Whip-poor-will (Caprimulgus vociferus) bWPWIx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Whip-poor-will. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Filter Total Items: 34
Uncertainty quantification and propagation for projections of extremes in monthly area burned under climate change: A case study in the coastal plain of Georgia, USA
Human‐caused climate change is predicted to affect the frequency of hazard‐linked extremes. Unusually large wildfires are a type of extreme event that is constrained by climate and can be a hazard to society but also an important ecological disturbance. This chapter focuses on changes in the frequency of extreme monthly area burned by wildfires for the end of the 21st century for a wildfire‐prone
Authors
Adam J. Terando, Brian J. Reich, Krishna Pacifici, Jennifer Costanza, Alexa McKerrow, Jaime A. Collazo
Projected gains and losses of wildlife habitat from bioenergy-induced landscape change
Domestic and foreign renewable energy targets and financial incentives have increased demand for woody biomass and bioenergy in the southeastern United States. This demand is expected to be met through purpose-grown agricultural bioenergy crops, short-rotation tree plantations, thinning and harvest of planted and natural forests, and forest harvest residues. With results from a forest economics mo
Authors
Nathan M. Tarr, Matthew J. Rubino, Jennifer K. Costanza, Alexa McKerrow, Jaime A. Collazo, Robert C. Abt
Bioenergy production and forest landscape change in the southeastern United States
Production of woody biomass for bioenergy, whether wood pellets or liquid biofuels, has the potential to cause substantial landscape change and concomitant effects on forest ecosystems, but the landscape effects of alternative production scenarios have not been fully assessed. We simulated landscape change from 2010 to 2050 under five scenarios of woody biomass production for wood pellets and liqu
Authors
Jennifer K. Costanza, Robert C. Abt, Alexa McKerrow, Jaime A. Collazo
Normalized burn ratios link fire severity with patterns of avian occurrence
ContextRemotely sensed differenced normalized burn ratios (DNBR) provide an index of fire severity across the footprint of a fire. We asked whether this index was useful for explaining patterns of bird occurrence within fire adapted xeric pine-oak forests of the southern Appalachian Mountains.ObjectivesWe evaluated the use of DNBR indices for linking ecosystem process with patterns of bird occurre
Authors
Eli T. Rose, Theodore R. Simons, Rob Klein, Alexa McKerrow
A comparison of NLCD 2011 and LANDFIRE EVT 2010: Regional and national summaries.
In order to provide the land cover user community a summary of the similarity and differences between the 2011 National Land Cover Dataset (NLCD) and the Landscape Fire and Resource Management Planning Tools Program Existing Vegetation 2010 Data (LANDFIRE EVT), the two datasets were compared at a national (conterminous U.S.) and regional (Eastern, Midwestern, and Western) extents (Figure 1). The c
Authors
Alexa McKerrow, Jon Dewitz, Donald G. Long, Kurtis Nelson, Joel A. Connot, Jim Smith
Linking state-and-transition simulation and timber supply models for forest biomass production scenarios
We linked state-and-transition simulation models (STSMs) with an economics-based timber supply model to examine landscape dynamics in North Carolina through 2050 for three scenarios of forest biomass production. Forest biomass could be an important source of renewable energy in the future, but there is currently much uncertainty about how biomass production would impact landscapes. In the southeas
Authors
Jennifer Costanza, Robert C. Abt, Alexa McKerrow, Jaime Collazo
How a national vegetation classification can help ecological research and management
The elegance of classification lies in its ability to compile and systematize various terminological conventions and masses of information that are unattainable during typical research projects. Imagine a discipline without standards for collection, analysis, and interpretation; unfortunately, that describes much of 20th-century vegetation ecology. With differing methods, how do we assess communit
Authors
Scott Franklin, Patrick Comer, Julie Evens, Exequiel Ezcurra, Don Faber-Langendoen, Janet Franklin, Michael Jennings, Carmen Josse, Chris Lea, Orie Loucks, Esteban Muldavin, Robert K. Peet, Serguei Ponomarenko, David G. Roberts, Ayzik Solomeshch, Todd Keeler-Wolf, James Van Kley, Alan Weakley, Alexa McKerrow, Marianne Burke, Carol Spurrier
Modeling climate change, urbanization, and fire effects on Pinus palustris ecosystems of the southeastern U.S.
Managing ecosystems for resilience and sustainability requires understanding how they will respond to future anthropogenic drivers such as climate change and urbanization. In fire-dependent ecosystems, predicting this response requires a focus on how these drivers will impact fire regimes. Here, we use scenarios of climate change, urbanization and management to simulate the future dynamics of the
Authors
Jennifer Costanza, Adam J. Terando, Alexa McKerrow, Jaime A. Collazo
2014-2015 Partnership accomplishments report on joint activities: National Gap Analysis Program and LANDFIRE
The intended target audience for this document initially is management and project technical specialist and scientists involved in the Gap Analysis Program (GAP) and the Landscape Fire and Resource Management Planning Tools - (LANDFIRE) program to help communicate coordination activities to all involved parties. This document is also intended to give background information in other parts of the US
Authors
Anne Davidson, Alexa McKerrow, Don Long, Todd Earnhardt
Future land-use scenarios and the loss of wildlife habitats in the southeastern United States
Land-use change is a major cause of wildlife habitat loss. Understanding how changes in land-use policies and economic factors can impact future trends in land use and wildlife habitat loss is therefore critical for conservation efforts. Our goal here was to evaluate the consequences of future land-use changes under different conservation policies and crop market conditions on habitat loss for wil
Authors
Sebastián Martinuzzi, John C. Withey, Anna M. Pidgeon, Andrew Plantinga, Alexa McKerrow, Steven G. Williams, David P. Helmers, Volker C. Radeloff
The Multi-Resolution Land Characteristics (MRLC) Consortium: 20 years of development and integration of USA national land cover data
The Multi-Resolution Land Characteristics (MRLC) Consortium demonstrates the national benefits of USA Federal collaboration. Starting in the mid-1990s as a small group with the straightforward goal of compiling a comprehensive national Landsat dataset that could be used to meet agencies’ needs, MRLC has grown into a group of 10 USA Federal Agencies that coordinate the production of five different
Authors
James D. Wickham, Collin G. Homer, James E. Vogelmann, Alexa McKerrow, Rick Mueller, Nate Herold, John Coluston
The southern megalopolis: using the past to predict the future of urban sprawl in the Southeast U.S.
The future health of ecosystems is arguably as dependent on urban sprawl as it is on human-caused climatic warming. Urban sprawl strongly impacts the urban ecosystems it creates and the natural and agro-ecosystems that it displaces and fragments. Here, we project urban sprawl changes for the next 50 years for the fast-growing Southeast U.S. Previous studies have focused on modeling population dens
Authors
Adam Terando, Jennifer Costanza, Curtis Belyea, Robert R. Dunn, Alexa McKerrow, Jaime Collazo
Science and Products
Filter Total Items: 1731
Mt. Lyell Shrew (Sorex lyelli) mMLSHx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Mt. Lyell Shrew. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Nelson's Antelope Squirrel (Ammospermophilus nelsoni) mNASQx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Nelson's Antelope Squirrel. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Meadow Vole (Microtus pennsylvanicus) mMEVOx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Meadow Vole. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Montane Vole (Microtus montanus) mMOVOx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Montane Vole. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Gray-collared Chipmunk (Tamias cinereicollis) mGCCHx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Gray-collared Chipmunk. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Southern Mountain Yellow-legged Frog (Rana muscosa) aSMFRx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Southern Mountain Yellow-legged Frog. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Piute Ground Squirrel (Urocitellus mollis) mPGSQx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Piute Ground Squirrel. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Columbia Spotted Frog (Rana luteiventris) aCOFRx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Columbia Spotted Frog. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Cave Swallow (Petrochelidon fulva) bCASWx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Cave Swallow. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Brown Creeper (Certhia americana) bBRCRx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Brown Creeper. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Barn Swallow (Hirundo rustica) bBARSx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Barn Swallow. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Whip-poor-will (Caprimulgus vociferus) bWPWIx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Whip-poor-will. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Filter Total Items: 34
Uncertainty quantification and propagation for projections of extremes in monthly area burned under climate change: A case study in the coastal plain of Georgia, USA
Human‐caused climate change is predicted to affect the frequency of hazard‐linked extremes. Unusually large wildfires are a type of extreme event that is constrained by climate and can be a hazard to society but also an important ecological disturbance. This chapter focuses on changes in the frequency of extreme monthly area burned by wildfires for the end of the 21st century for a wildfire‐prone
Authors
Adam J. Terando, Brian J. Reich, Krishna Pacifici, Jennifer Costanza, Alexa McKerrow, Jaime A. Collazo
Projected gains and losses of wildlife habitat from bioenergy-induced landscape change
Domestic and foreign renewable energy targets and financial incentives have increased demand for woody biomass and bioenergy in the southeastern United States. This demand is expected to be met through purpose-grown agricultural bioenergy crops, short-rotation tree plantations, thinning and harvest of planted and natural forests, and forest harvest residues. With results from a forest economics mo
Authors
Nathan M. Tarr, Matthew J. Rubino, Jennifer K. Costanza, Alexa McKerrow, Jaime A. Collazo, Robert C. Abt
Bioenergy production and forest landscape change in the southeastern United States
Production of woody biomass for bioenergy, whether wood pellets or liquid biofuels, has the potential to cause substantial landscape change and concomitant effects on forest ecosystems, but the landscape effects of alternative production scenarios have not been fully assessed. We simulated landscape change from 2010 to 2050 under five scenarios of woody biomass production for wood pellets and liqu
Authors
Jennifer K. Costanza, Robert C. Abt, Alexa McKerrow, Jaime A. Collazo
Normalized burn ratios link fire severity with patterns of avian occurrence
ContextRemotely sensed differenced normalized burn ratios (DNBR) provide an index of fire severity across the footprint of a fire. We asked whether this index was useful for explaining patterns of bird occurrence within fire adapted xeric pine-oak forests of the southern Appalachian Mountains.ObjectivesWe evaluated the use of DNBR indices for linking ecosystem process with patterns of bird occurre
Authors
Eli T. Rose, Theodore R. Simons, Rob Klein, Alexa McKerrow
A comparison of NLCD 2011 and LANDFIRE EVT 2010: Regional and national summaries.
In order to provide the land cover user community a summary of the similarity and differences between the 2011 National Land Cover Dataset (NLCD) and the Landscape Fire and Resource Management Planning Tools Program Existing Vegetation 2010 Data (LANDFIRE EVT), the two datasets were compared at a national (conterminous U.S.) and regional (Eastern, Midwestern, and Western) extents (Figure 1). The c
Authors
Alexa McKerrow, Jon Dewitz, Donald G. Long, Kurtis Nelson, Joel A. Connot, Jim Smith
Linking state-and-transition simulation and timber supply models for forest biomass production scenarios
We linked state-and-transition simulation models (STSMs) with an economics-based timber supply model to examine landscape dynamics in North Carolina through 2050 for three scenarios of forest biomass production. Forest biomass could be an important source of renewable energy in the future, but there is currently much uncertainty about how biomass production would impact landscapes. In the southeas
Authors
Jennifer Costanza, Robert C. Abt, Alexa McKerrow, Jaime Collazo
How a national vegetation classification can help ecological research and management
The elegance of classification lies in its ability to compile and systematize various terminological conventions and masses of information that are unattainable during typical research projects. Imagine a discipline without standards for collection, analysis, and interpretation; unfortunately, that describes much of 20th-century vegetation ecology. With differing methods, how do we assess communit
Authors
Scott Franklin, Patrick Comer, Julie Evens, Exequiel Ezcurra, Don Faber-Langendoen, Janet Franklin, Michael Jennings, Carmen Josse, Chris Lea, Orie Loucks, Esteban Muldavin, Robert K. Peet, Serguei Ponomarenko, David G. Roberts, Ayzik Solomeshch, Todd Keeler-Wolf, James Van Kley, Alan Weakley, Alexa McKerrow, Marianne Burke, Carol Spurrier
Modeling climate change, urbanization, and fire effects on Pinus palustris ecosystems of the southeastern U.S.
Managing ecosystems for resilience and sustainability requires understanding how they will respond to future anthropogenic drivers such as climate change and urbanization. In fire-dependent ecosystems, predicting this response requires a focus on how these drivers will impact fire regimes. Here, we use scenarios of climate change, urbanization and management to simulate the future dynamics of the
Authors
Jennifer Costanza, Adam J. Terando, Alexa McKerrow, Jaime A. Collazo
2014-2015 Partnership accomplishments report on joint activities: National Gap Analysis Program and LANDFIRE
The intended target audience for this document initially is management and project technical specialist and scientists involved in the Gap Analysis Program (GAP) and the Landscape Fire and Resource Management Planning Tools - (LANDFIRE) program to help communicate coordination activities to all involved parties. This document is also intended to give background information in other parts of the US
Authors
Anne Davidson, Alexa McKerrow, Don Long, Todd Earnhardt
Future land-use scenarios and the loss of wildlife habitats in the southeastern United States
Land-use change is a major cause of wildlife habitat loss. Understanding how changes in land-use policies and economic factors can impact future trends in land use and wildlife habitat loss is therefore critical for conservation efforts. Our goal here was to evaluate the consequences of future land-use changes under different conservation policies and crop market conditions on habitat loss for wil
Authors
Sebastián Martinuzzi, John C. Withey, Anna M. Pidgeon, Andrew Plantinga, Alexa McKerrow, Steven G. Williams, David P. Helmers, Volker C. Radeloff
The Multi-Resolution Land Characteristics (MRLC) Consortium: 20 years of development and integration of USA national land cover data
The Multi-Resolution Land Characteristics (MRLC) Consortium demonstrates the national benefits of USA Federal collaboration. Starting in the mid-1990s as a small group with the straightforward goal of compiling a comprehensive national Landsat dataset that could be used to meet agencies’ needs, MRLC has grown into a group of 10 USA Federal Agencies that coordinate the production of five different
Authors
James D. Wickham, Collin G. Homer, James E. Vogelmann, Alexa McKerrow, Rick Mueller, Nate Herold, John Coluston
The southern megalopolis: using the past to predict the future of urban sprawl in the Southeast U.S.
The future health of ecosystems is arguably as dependent on urban sprawl as it is on human-caused climatic warming. Urban sprawl strongly impacts the urban ecosystems it creates and the natural and agro-ecosystems that it displaces and fragments. Here, we project urban sprawl changes for the next 50 years for the fast-growing Southeast U.S. Previous studies have focused on modeling population dens
Authors
Adam Terando, Jennifer Costanza, Curtis Belyea, Robert R. Dunn, Alexa McKerrow, Jaime Collazo