Alexa J. McKerrow, PhD (Former Employee)
Science and Products
Filter Total Items: 1731
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.
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.
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.
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.
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.
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.
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.
Short-billed Dowitcher (Limnodromus griseus) bSBDOx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Short-billed Dowitcher. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
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.
Mexican Spiny Pocket Mouse (Liomys irroratus) mMSPMx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Mexican Spiny Pocket Mouse. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Pahranagat Valley Vole (Microtus montanus fucosus) mMOVOf_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Pahranagat Valley Vole. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Virginia Northern Flying Squirrel (Glaucomys sabrinus fuscus) mNFSQf_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Virginia Northern Flying Squirrel. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Filter Total Items: 34
Integrating recent land cover mapping efforts to update the National Gap Analysis Program's species habitat map
Over the past decade, great progress has been made to develop national extent land cover mapping products to address natural resource issues. One of the core products of the GAP Program is range-wide species distribution models for nearly 2000 terrestrial vertebrate species in the U.S. We rely on deductive modeling of habitat affinities using these products to create models of habitat availability
Authors
Alexa McKerrow, A. Davidson, Todd Earnhardt, Abigail L. Benson
Developing an outcome-based biodiversity metric in support of the field to market project: Final report
Our objective was to create a metric that would calculate the relative impact of common commercial agricultural practices on terrestrial vertebrate richness. We sought to define impacts in fields (including field borders) of the southeastern region’s commercial production of corn, wheat, soy, and cotton. The metric is intended to serve as an educational tool, allowing producers to see how operatio
Authors
C. Ashton Drew, Louise B. Alexander-Vaughn, Jaime A. Collazo, Alexa McKerrow, John Anderson
Tools and data for meeting America's conservation challenges
The Gap Analysis Project (GAP) produces data and tools that help meet critical national challenges such as biodiversity conservation, renewable energy development, climate change adaptation, and infrastructure investment. The GAP is managed by the U.S. Geological Survey, Department of the Interior. GAP supports a wide range of national, State, and local agencies as well as nongovernmental organiza
Authors
Kevin J. Gergely, Alexa McKerrow
Terrestrial ecosystems: national inventory of vegetation and land use
The Gap Analysis Project (GAP)/Landscape Fire and Resource Management Planning Tools (LANDFIRE) National Terrestrial Ecosystems Data represents detailed data on the vegetation and land-use patterns of the United States, including Alaska, Hawaii, and Puerto Rico. This national dataset combines detailed land cover data generated by the GAP with LANDFIRE data (http://www.landfire.gov/). LANDFIRE is a
Authors
Kevin J. Gergely, Alexa McKerrow
PAD-US—National inventory of protected areas
The Gap Analysis Project produces data and tools that help meet critical national challenges such as biodiversity conservation, renewable energy development, climate change adaptation, and infrastructure investment. The Protected Areas Database of the United States (PAD-US) is the official inventory of public parks and other protected open space. Consisting of more than 7 billion acres in 436,000
Authors
Kevin J. Gergely, Alexa McKerrow
Species data: National inventory of range maps and distribution models
The Gap Analysis Project (GAP) produces data and tools that help meet critical national challenges such as biodiversity conservation, renewable energy development, climate change adaptation, and infrastructure investment. The GAP species data includes vertebrate range maps and distribution models for the continental United States, as well as Alaska, Hawaii, Puerto Rico, and U.S. Virgin Islands. Th
Authors
Kevin J. Gergely, Alexa McKerrow
Representation of ecological systems within the protected areas network of the continental United States
If conservation of biodiversity is the goal, then the protected areas network of the continental US may be one of our best conservation tools for safeguarding ecological systems (i.e., vegetation communities). We evaluated representation of ecological systems in the current protected areas network and found insufficient representation at three vegetation community levels within lower elevations an
Authors
Jocelyn L. Aycrigg, Anne Davidson, Leona K. Svancara, Kevin J. Gergely, Alexa McKerrow, J. Michael Scott
Building the United States National Vegetation Classification
The Federal Geographic Data Committee (FGDC) Vegetation Subcommittee, the Ecological Society of America Panel on Vegetation Classification, and NatureServe have worked together to develop the United States National Vegetation Classification (USNVC). The current standard was accepted in 2008 and fosters consistency across Federal agencies and non-federal partners for the description of each vegetat
Authors
S. B. Franklin, D. Faber-Langendoen, M. Jennings, T. Keeler-Wolf, O. Loucks, R. Peet, D. Roberts, A. McKerrow
Use of occupancy models to evaluate expert knowledge-based species-habitat relationships
Expert knowledge-based species-habitat relationships are used extensively to guide conservation planning, particularly when data are scarce. Purported relationships describe the initial state of knowledge, but are rarely tested. We assessed support in the data for suitability rankings of vegetation types based on expert knowledge for three terrestrial avian species in the South Atlantic Coastal Pl
Authors
Monica N. Iglecia, Jaime A. Collazo, Alexa McKerrow
Completion of the 2001 National Land Cover Database for the conterminous United States
No abstract available.
Authors
Collin G. Homer, Jon Dewitz, Joyce Fry, Michael Coan, N. Hossain, C. Larson, Nate Herold, Alexa McKerrow, J.N. VanDriel, James Wickham
Science and Products
Filter Total Items: 1731
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.
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.
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.
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.
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.
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.
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.
Short-billed Dowitcher (Limnodromus griseus) bSBDOx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Short-billed Dowitcher. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
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.
Mexican Spiny Pocket Mouse (Liomys irroratus) mMSPMx_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Mexican Spiny Pocket Mouse. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Pahranagat Valley Vole (Microtus montanus fucosus) mMOVOf_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Pahranagat Valley Vole. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Virginia Northern Flying Squirrel (Glaucomys sabrinus fuscus) mNFSQf_CONUS_2001v1 Habitat Map
This dataset represents a species habitat distribution model for Virginia Northern Flying Squirrel. These habitat maps are created by applying a deductive habitat model to remotely-sensed data layers within a species' range.
Filter Total Items: 34
Integrating recent land cover mapping efforts to update the National Gap Analysis Program's species habitat map
Over the past decade, great progress has been made to develop national extent land cover mapping products to address natural resource issues. One of the core products of the GAP Program is range-wide species distribution models for nearly 2000 terrestrial vertebrate species in the U.S. We rely on deductive modeling of habitat affinities using these products to create models of habitat availability
Authors
Alexa McKerrow, A. Davidson, Todd Earnhardt, Abigail L. Benson
Developing an outcome-based biodiversity metric in support of the field to market project: Final report
Our objective was to create a metric that would calculate the relative impact of common commercial agricultural practices on terrestrial vertebrate richness. We sought to define impacts in fields (including field borders) of the southeastern region’s commercial production of corn, wheat, soy, and cotton. The metric is intended to serve as an educational tool, allowing producers to see how operatio
Authors
C. Ashton Drew, Louise B. Alexander-Vaughn, Jaime A. Collazo, Alexa McKerrow, John Anderson
Tools and data for meeting America's conservation challenges
The Gap Analysis Project (GAP) produces data and tools that help meet critical national challenges such as biodiversity conservation, renewable energy development, climate change adaptation, and infrastructure investment. The GAP is managed by the U.S. Geological Survey, Department of the Interior. GAP supports a wide range of national, State, and local agencies as well as nongovernmental organiza
Authors
Kevin J. Gergely, Alexa McKerrow
Terrestrial ecosystems: national inventory of vegetation and land use
The Gap Analysis Project (GAP)/Landscape Fire and Resource Management Planning Tools (LANDFIRE) National Terrestrial Ecosystems Data represents detailed data on the vegetation and land-use patterns of the United States, including Alaska, Hawaii, and Puerto Rico. This national dataset combines detailed land cover data generated by the GAP with LANDFIRE data (http://www.landfire.gov/). LANDFIRE is a
Authors
Kevin J. Gergely, Alexa McKerrow
PAD-US—National inventory of protected areas
The Gap Analysis Project produces data and tools that help meet critical national challenges such as biodiversity conservation, renewable energy development, climate change adaptation, and infrastructure investment. The Protected Areas Database of the United States (PAD-US) is the official inventory of public parks and other protected open space. Consisting of more than 7 billion acres in 436,000
Authors
Kevin J. Gergely, Alexa McKerrow
Species data: National inventory of range maps and distribution models
The Gap Analysis Project (GAP) produces data and tools that help meet critical national challenges such as biodiversity conservation, renewable energy development, climate change adaptation, and infrastructure investment. The GAP species data includes vertebrate range maps and distribution models for the continental United States, as well as Alaska, Hawaii, Puerto Rico, and U.S. Virgin Islands. Th
Authors
Kevin J. Gergely, Alexa McKerrow
Representation of ecological systems within the protected areas network of the continental United States
If conservation of biodiversity is the goal, then the protected areas network of the continental US may be one of our best conservation tools for safeguarding ecological systems (i.e., vegetation communities). We evaluated representation of ecological systems in the current protected areas network and found insufficient representation at three vegetation community levels within lower elevations an
Authors
Jocelyn L. Aycrigg, Anne Davidson, Leona K. Svancara, Kevin J. Gergely, Alexa McKerrow, J. Michael Scott
Building the United States National Vegetation Classification
The Federal Geographic Data Committee (FGDC) Vegetation Subcommittee, the Ecological Society of America Panel on Vegetation Classification, and NatureServe have worked together to develop the United States National Vegetation Classification (USNVC). The current standard was accepted in 2008 and fosters consistency across Federal agencies and non-federal partners for the description of each vegetat
Authors
S. B. Franklin, D. Faber-Langendoen, M. Jennings, T. Keeler-Wolf, O. Loucks, R. Peet, D. Roberts, A. McKerrow
Use of occupancy models to evaluate expert knowledge-based species-habitat relationships
Expert knowledge-based species-habitat relationships are used extensively to guide conservation planning, particularly when data are scarce. Purported relationships describe the initial state of knowledge, but are rarely tested. We assessed support in the data for suitability rankings of vegetation types based on expert knowledge for three terrestrial avian species in the South Atlantic Coastal Pl
Authors
Monica N. Iglecia, Jaime A. Collazo, Alexa McKerrow
Completion of the 2001 National Land Cover Database for the conterminous United States
No abstract available.
Authors
Collin G. Homer, Jon Dewitz, Joyce Fry, Michael Coan, N. Hossain, C. Larson, Nate Herold, Alexa McKerrow, J.N. VanDriel, James Wickham