Gap Analysis Project

Publications

Filter Total Items: 40
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Year Published: 2015

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...

Martinuzzi, Sebastián; Withey, John C.; Pidgeon, Anna M.; Plantinga, Andrew; McKerrow, Alexa J.; Williams, Steven G.; Helmers, David P.; Radeloff, Volker C.
Martinuzzi, S., J. C. Withey, A. M. Pidgeon, A. J. Plantinga, A. A. McKerrow, S. G. Williams, D. P. Helmers, and V. C. Radeloff. Future land-use scenarios and the loss of wildlife habitat in the southeastern U.S. 2015. Ecological Applications, 25(1): 160-171.

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Year Published: 2014

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...

Wickham, James D.; Homer, Collin G.; Vogelmann, James E.; McKerrow, Alexa; Mueller, Rick; Herold, Nate; Coluston, John

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Year Published: 2014

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....

Terando, Adam; Costanza, Jennifer; Belyea, Curtis; Dunn, Robert R.; McKerrow, Alexa; Collazo, Jaime
The southern megalopolis: using the past to predict the future of urban sprawl in the Southeast U.S.; 2014; Article; Journal; PLoS One; Terando, Adam J.; Costanza, Jennifer; Belyea, Curtis; Dunn, Robert R.; McKerrow, Alexa; Collazo, Jaime A.

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Year Published: 2014

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...

Toth, Charles; Holm, Thomas; Jutz, Boris; McKerrow, Alexa J.; Davidson, A.; Earnhardt, Todd; Benson, Abigail L.
McKerrow, A. J., A. Davidson, T. S. Earnhardt, A. L. Benson. 2014. Integrating Recent Land Cover Mapping Efforts to Update the National Gap Analysis Program's Species Habitat Map

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Year Published: 2013

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...

Drew, C. Ashton; Alexander-Vaughn, Louise B.; Collazo, Jaime A.; McKerrow, Alexa J.; Anderson, John

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Year Published: 2013

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...

Gergely, Kevin J.; McKerrow, Alexa
Tools and data for meeting America's conservation challenges; 2013; USGS Unnumbered Series; GIP; 151; Gergely, Kevin J.; McKerrow, Alexa

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Year Published: 2013

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...

Gergely, Kevin J.; McKerrow, Alexa
Species data: national inventory of range maps and distribution models; 2013; FS; 2013-3087; Gergely, Kevin J.; McKerrow, Alexa

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Year Published: 2013

PAD-US: National Inventory of Protected Areas

The Gap Analysis Program 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 protected open space in the United States....

Gergely, Kevin J.; McKerrow, Alexa
Gergely, K.J., and McKerrow, Alexa, 2016, PAD-US—National inventory of protected areas (ver. 1.1, August 2016): U.S. Geological Survey Fact Sheet 2013–3086, 2 p., http://pubs.usgs.gov/fs/2013/3086/.

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Year Published: 2013

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...

Gergely, Kevin J.; McKerrow, Alexa
Gergely, K.J., and McKerrow, A., 2016, Terrestrial ecosystems—National inventory of vegetation and land use (ver. 1.1, August 2016): U.S. Geological Survey Fact Sheet 2013–3085, 1 p., http://pubs.usgs.gov/fs/2013/3085/.

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Year Published: 2013

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...

Aycrigg, Jocelyn L.; Davidson, Anne; Svancara, Leona K.; Gergely, Kevin J.; McKerrow, Alexa; Scott, J. Michael
Representation of ecological systems within the protected areas network of the continental United States; 2013; Article; Journal; PLoS One; Aycrigg, Jocelyn L.; Davidson, Anne ; Svancara, Leona K.; Gergely, Kevin J.; McKerrow, Alexa ; Scott, J. Michael

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Year Published: 2012

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-...

Franklin, S.B.; Faber-Langendoen, D.; Jennings, M.; Keeler-Wolf, T.; Loucks, O.; Peet, R.; Roberts, D.; McKerrow, A.
Building the United States National Vegetation Classification; 2012; Article; Journal; Annali di Botanica - Coenology and Plant Ecology; Franklin, S. B.; Faber-Langendoen, D. ; Jennings, M. ; Keeler-Wolf, T. ; Loucks, O. ; Peet, R. ; Roberts, D. ; McKerrow, A.

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Year Published: 2012

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...

Iglecia, Monica N.; Collazo, Jaime A.; McKerrow, Alexa J.