Benjamin Sleeter
My research activities focus on characterizing changes in land use and disturbance – past, present and future - and how they impact ecosystem carbon dynamics.
I lead two large projects which have shared goals of further developing USGS capabilities in land change science and ecosystem carbon cycling. I lead the development of the LUCAS modeling framework (Land Use and Carbon Scenario Simulator).
Science and Products
Filter Total Items: 18
National land use projections
A major scientific challenge in global change research is connecting coarse-scale global assessments, particularly those involving the projection of land use, to scales relevant and useful for analysis and management. We have downscaled land use projections from two global scenario frameworks, the Special Report on Emission Scenarios (SRES), and the Representative Concentration Pathways (RCPs)...
Land Use and Climate Change Team
We are a research team focusing on understanding the rates, causes, and consequences of land change across a range of geographic and temporal scales. Our emphasis is on developing alternative future projections and quantifying the impact on environmental systems, in particular, the role of land-use change on ecosystem carbon dynamics. We are interested in how land-use and climate systems will...
Land Cover Trends
Land Cover Trends was a research project focused on understanding the rates, trends, causes, and consequences of contemporary U.S. land use and land cover change. The project spanned from 1999 to 2011. The research was supported by the Climate and Land Use Change Research and Development Program of the U.S. Geological Survey (USGS) and was a collaborative effort with the U.S. Environmental...
A web-based application for the management and visualization of land-use scenario data
Land-use researchers need the ability to rapidly compare multiple land-use scenarios over a range of spatial and temporal scales, and to visualize spatial and nonspatial data; however, land-use datasets are often distributed in the form of large tabular files and spatial files. These formats are not ideal for the way land-use researchers interact with and share these datasets. The size...
Integration of Land Cover Trends Field Photography with an Online Map Service
The USGS National Land Cover Trends Project has the largest repository of field photos at the USGS (over 33,000 photos). Prior to CDI funding, Land Cover Trends had limited funding to make the national collection of photos available online for researchers, land managers, and citizens. The goal of this CDI project was to add geotags and keywords to the digital copies of each field photo...
Assessing the Vulnerability of Dryland Ecosystems to Drought in the Western U.S.
In the western U.S., rising temperatures and pronounced drought conditions pose significant challenges to public land managers. Widespread declines of multiple plant species have already been observed, providing insight into what the future could look like for vegetation in the region as conditions are projected to become warmer and drier. To understand how vulnerable western ecosystems...
Filter Total Items: 15
A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning
This dataset contains a projection of land use and land cover for the conterminous United States for the period 2001 - 2061. This projection used the USGS's LUCAS (Land Use and Carbon Scenario Simulator) model to project a business as usual scenario of land cover and land use change. By running the LUCAS model on the USGS's YETI high performance computer and parallelizing the computation...
Land Use and Conservation Scenarios for California's 4th Climate Change Assessment Land Use and Conservation Scenarios for California's 4th Climate Change Assessment
This dataset consists of modeled projections of land use and land cover for the State of California for the period 2001-2101. The Land Use and Carbon Scenario Simulator (LUCAS) model was initialized in 2001 and run forward on an annual time step to 2100. In total 9 simulations were run with 10 Monte Carlo replications of each simulation. Two base scenarios were selected from Sleeter et...
Land-use and Land-cover Projections for California's 4th Climate Assessment Land-use and Land-cover Projections for California's 4th Climate Assessment
This dataset consists of modeled projections of land use and land cover for the State of California for the period 1970-2100. For the 1970-2001 period, we used the USGS's LUCAS model to "backcast" LULC, beginning with the 2001 initial conditions and ending with 1970. For future projections, the model was initialized in 2001 and run forward on an annual time step to 2100. In total 5...
Filter Total Items: 54
Integrating continuous stocks and flows into state-and-transition simulation models of landscape change Integrating continuous stocks and flows into state-and-transition simulation models of landscape change
State-and-transition simulation models (STSMs) provide a general framework for forecasting landscape dynamics, including projections of both vegetation and land-use/land-cover (LULC) change. The STSM method divides a landscape into spatially-referenced cells and then simulates the state of each cell forward in time, as a discrete-time stochastic process using a Monte Carlo approach, in...
Authors
Colin J. Daniel, Benjamin M. Sleeter, Leonardo Frid, Marie-Josée Fortin
Future scenarios of land change based on empirical data and demographic trends Future scenarios of land change based on empirical data and demographic trends
Changes in land use and land cover (LULC) have important and fundamental interactions with the global climate system. Top-down global scale projections of land use change have been an important component of climate change research; however, their utility at local to regional scales is often limited. The goal of this study was to develop an approach for projecting changes in LULC based on...
Authors
Benjamin M. Sleeter, Tamara Wilson, Ethan Sharygin, Jason T. Sherba
Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change
With growing demand and highly variable inter-annual water supplies, California’s water use future is fraught with uncertainty. Climate change projections, anticipated population growth, and continued agricultural intensification, will likely stress existing water supplies in coming decades. Using a state-and-transition simulation modeling approach, we examine a broad suite of spatially...
Authors
Tamara Wilson, Benjamin M. Sleeter, D. Richard Cameron
Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios
We examine the impacts of climate on net returns from crop and livestock production and the resulting impact on land-use change across the contiguous USA. We first estimate an econometric model to project effects of weather fluctuations on crop and livestock net returns and then use a semi-reduced form land-use share model to study agricultural land-use changes under future climate and...
Authors
Jianhong E. Mu, Benjamin M. Sleeter, John T. Abatzoglou, John M. Antle
Projecting community changes in hazard exposure to support long-term risk reduction: A case study of tsunami hazards in the U.S. Pacific Northwest Projecting community changes in hazard exposure to support long-term risk reduction: A case study of tsunami hazards in the U.S. Pacific Northwest
Tsunamis have the potential to cause considerable damage to communities along the U.S. Pacific Northwest coastline. As coastal communities expand over time, the potential societal impact of tsunami inundation changes. To understand how community exposure to tsunami hazards may change in coming decades, we projected future development (i.e. urban, residential, and rural), households, and...
Authors
Benjamin M. Sleeter, Nathan J. Wood, Christopher E. Soulard, Tamara Wilson
Community for Data Integration 2016 annual report Community for Data Integration 2016 annual report
The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other...
Authors
Madison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-Myers
Science and Products
Filter Total Items: 18
National land use projections
A major scientific challenge in global change research is connecting coarse-scale global assessments, particularly those involving the projection of land use, to scales relevant and useful for analysis and management. We have downscaled land use projections from two global scenario frameworks, the Special Report on Emission Scenarios (SRES), and the Representative Concentration Pathways (RCPs)...
Land Use and Climate Change Team
We are a research team focusing on understanding the rates, causes, and consequences of land change across a range of geographic and temporal scales. Our emphasis is on developing alternative future projections and quantifying the impact on environmental systems, in particular, the role of land-use change on ecosystem carbon dynamics. We are interested in how land-use and climate systems will...
Land Cover Trends
Land Cover Trends was a research project focused on understanding the rates, trends, causes, and consequences of contemporary U.S. land use and land cover change. The project spanned from 1999 to 2011. The research was supported by the Climate and Land Use Change Research and Development Program of the U.S. Geological Survey (USGS) and was a collaborative effort with the U.S. Environmental...
A web-based application for the management and visualization of land-use scenario data
Land-use researchers need the ability to rapidly compare multiple land-use scenarios over a range of spatial and temporal scales, and to visualize spatial and nonspatial data; however, land-use datasets are often distributed in the form of large tabular files and spatial files. These formats are not ideal for the way land-use researchers interact with and share these datasets. The size...
Integration of Land Cover Trends Field Photography with an Online Map Service
The USGS National Land Cover Trends Project has the largest repository of field photos at the USGS (over 33,000 photos). Prior to CDI funding, Land Cover Trends had limited funding to make the national collection of photos available online for researchers, land managers, and citizens. The goal of this CDI project was to add geotags and keywords to the digital copies of each field photo...
Assessing the Vulnerability of Dryland Ecosystems to Drought in the Western U.S.
In the western U.S., rising temperatures and pronounced drought conditions pose significant challenges to public land managers. Widespread declines of multiple plant species have already been observed, providing insight into what the future could look like for vegetation in the region as conditions are projected to become warmer and drier. To understand how vulnerable western ecosystems...
Filter Total Items: 15
A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning
This dataset contains a projection of land use and land cover for the conterminous United States for the period 2001 - 2061. This projection used the USGS's LUCAS (Land Use and Carbon Scenario Simulator) model to project a business as usual scenario of land cover and land use change. By running the LUCAS model on the USGS's YETI high performance computer and parallelizing the computation...
Land Use and Conservation Scenarios for California's 4th Climate Change Assessment Land Use and Conservation Scenarios for California's 4th Climate Change Assessment
This dataset consists of modeled projections of land use and land cover for the State of California for the period 2001-2101. The Land Use and Carbon Scenario Simulator (LUCAS) model was initialized in 2001 and run forward on an annual time step to 2100. In total 9 simulations were run with 10 Monte Carlo replications of each simulation. Two base scenarios were selected from Sleeter et...
Land-use and Land-cover Projections for California's 4th Climate Assessment Land-use and Land-cover Projections for California's 4th Climate Assessment
This dataset consists of modeled projections of land use and land cover for the State of California for the period 1970-2100. For the 1970-2001 period, we used the USGS's LUCAS model to "backcast" LULC, beginning with the 2001 initial conditions and ending with 1970. For future projections, the model was initialized in 2001 and run forward on an annual time step to 2100. In total 5...
Filter Total Items: 54
Integrating continuous stocks and flows into state-and-transition simulation models of landscape change Integrating continuous stocks and flows into state-and-transition simulation models of landscape change
State-and-transition simulation models (STSMs) provide a general framework for forecasting landscape dynamics, including projections of both vegetation and land-use/land-cover (LULC) change. The STSM method divides a landscape into spatially-referenced cells and then simulates the state of each cell forward in time, as a discrete-time stochastic process using a Monte Carlo approach, in...
Authors
Colin J. Daniel, Benjamin M. Sleeter, Leonardo Frid, Marie-Josée Fortin
Future scenarios of land change based on empirical data and demographic trends Future scenarios of land change based on empirical data and demographic trends
Changes in land use and land cover (LULC) have important and fundamental interactions with the global climate system. Top-down global scale projections of land use change have been an important component of climate change research; however, their utility at local to regional scales is often limited. The goal of this study was to develop an approach for projecting changes in LULC based on...
Authors
Benjamin M. Sleeter, Tamara Wilson, Ethan Sharygin, Jason T. Sherba
Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change
With growing demand and highly variable inter-annual water supplies, California’s water use future is fraught with uncertainty. Climate change projections, anticipated population growth, and continued agricultural intensification, will likely stress existing water supplies in coming decades. Using a state-and-transition simulation modeling approach, we examine a broad suite of spatially...
Authors
Tamara Wilson, Benjamin M. Sleeter, D. Richard Cameron
Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios Climate impacts on agricultural land use in the USA: the role of socio-economic scenarios
We examine the impacts of climate on net returns from crop and livestock production and the resulting impact on land-use change across the contiguous USA. We first estimate an econometric model to project effects of weather fluctuations on crop and livestock net returns and then use a semi-reduced form land-use share model to study agricultural land-use changes under future climate and...
Authors
Jianhong E. Mu, Benjamin M. Sleeter, John T. Abatzoglou, John M. Antle
Projecting community changes in hazard exposure to support long-term risk reduction: A case study of tsunami hazards in the U.S. Pacific Northwest Projecting community changes in hazard exposure to support long-term risk reduction: A case study of tsunami hazards in the U.S. Pacific Northwest
Tsunamis have the potential to cause considerable damage to communities along the U.S. Pacific Northwest coastline. As coastal communities expand over time, the potential societal impact of tsunami inundation changes. To understand how community exposure to tsunami hazards may change in coming decades, we projected future development (i.e. urban, residential, and rural), households, and...
Authors
Benjamin M. Sleeter, Nathan J. Wood, Christopher E. Soulard, Tamara Wilson
Community for Data Integration 2016 annual report Community for Data Integration 2016 annual report
The Community for Data Integration (CDI) represents a dynamic community of practice focused on advancing science data and information management and integration capabilities across the U.S. Geological Survey and the CDI community. This annual report describes the various presentations, activities, and outcomes of the CDI monthly forums, working groups, virtual training series, and other...
Authors
Madison L. Langseth, Leslie Hsu, Jon Amberg, Norman Bliss, Andrew R. Bock, Rachel T. Bolus, R. Sky Bristol, Katherine J. Chase, Theresa M. Crimmins, Paul S. Earle, Richard Erickson, A. Lance Everette, Jeff T. Falgout, John Faundeen, Michael N. Fienen, Rusty Griffin, Michelle R. Guy, Kevin D. Henry, Nancy J. Hoebelheinrich, Randall J. Hunt, Vivian B. Hutchison, Drew A. Ignizio, Dana M. Infante, Catherine Jarnevich, Jeanne M. Jones, Tim Kern, Scott Leibowitz, Francis L. Lightsom, R. Lee Marsh, S. Grace McCalla, Marcia McNiff, Jeffrey T. Morisette, John C. Nelson, Tamar Norkin, Todd M. Preston, Alyssa Rosemartin, Roy Sando, Jason T. Sherba, Richard P. Signell, Benjamin M. Sleeter, Eric T. Sundquist, Colin B. Talbert, Roland J. Viger, Jake F. Weltzin, Sharon Waltman, Marc Weber, Daniel J. Wieferich, Brad Williams, Lisamarie Windham-Myers