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
Developing a Decision Support Tool to Inform Louisiana’s Climate Change Adaptation Strategy
Wetland Carbon Working Group: Improving Methodologies and Estimates of Carbon and Greenhouse Gas Flux in Wetlands
Future Scenarios of Land Use and Land Cover Change for Integrated Resources Assessment
The LUCAS Model
Land use and tsunami hazards in the Pacific Northwest
California land-change projections
Land change and water use in California
Land use and carbon modeling in the Sierra Nevada Mountains
Great Dismal Swamp carbon dynamics
National land use projections
Land Use and Climate Change Team
Land Cover Trends
Data Release - CONUS carbon budget related to Global Change Biology publication
Restoration and Conservation Opportunity Maps for the conterminous U.S. (CONUS)
Frequency of forest change across the conterminous United States from 1985-2020
Carbon stocks and fluxes for the conterminous United States 2001-2020
Federal Lands Greenhouse Gas Emissions and Sequestration in the United States: Estimates 2005-14 - Data Release
Simulated 1km resolution 1971-2015 ecosystem carbon variables from the IBIS model (2017/09/12)
A National Land Use And Land Cover Projection For Threat Assessment And Conservation Planning
Land-use and Land-cover Projections for California's 4th Climate Assessment
Earthquakes and faults in southern California (1970-2010)
Results of land cover change detection analysis in and around Cordillera Azul National Park, Peru
Earthquakes and faults in the San Francisco Bay area (1970-2003)
Operational assessment tool for forest carbon dynamics for the United States: A new spatially explicit approach linking the LUCAS and CBM-CFS3 models
Ecosystem carbon balance in the Hawaiian Islands under different scenarios of future climate and land use change
Modeling watershed carbon dynamics as affected by land cover change and soil erosion
Substantially greater carbon emissions estimated based on annual land-use transition data
Effects of 21st century climate, land use, and disturbances on ecosystem carbon balance in California
Federal lands greenhouse emissions and sequestration in the United States—Estimates for 2005–14
In January 2016, the Secretary of the U.S. Department of the Interior tasked the U.S. Geological Survey (USGS) with producing a publicly available and annually updated database of estimated greenhouse gas emissions associated with the extraction and use (predominantly some form of combustion) of fossil fuels from Federal lands. In response, the USGS has produced estimates of the greenhouse gas emi
Increasing soil organic carbon to mitigate greenhouse gases and increase climate resiliency for California
Adaptation with climate uncertainty: An examination of agricultural land use in the United States
Effects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States
Land cover and land use change
Integrating continuous stocks and flows into state-and-transition simulation models of landscape change
Future scenarios of land change based on empirical data and demographic trends
Science and Products
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Filter Total Items: 15
Developing a Decision Support Tool to Inform Louisiana’s Climate Change Adaptation Strategy
In 2020, Governor Edwards of Louisiana issued two executive orders: establishing the Climate Initiatives Task Force to develop the state’s first ever Climate Action Plan to reach net zero greenhouse gas emissions by 2050 and to enhance coastal resilience in the state. Louisiana’s coastal wetlands and natural lands are of vital importance not just for hurricane protection, health and wellbeing, and...Wetland Carbon Working Group: Improving Methodologies and Estimates of Carbon and Greenhouse Gas Flux in Wetlands
WARC researchers are working to quantify the impacts of future climate and land use/land cover change on greenhouse gas emissions and reductions.Future Scenarios of Land Use and Land Cover Change for Integrated Resources Assessment
This research project aims to develop a portfolio approach to development of land change scenarios for the United States based on empirical data and global integrated assessment modeling.This research will continue the development and capabilities of the Land Use and Carbon Scenario Simulator (LUCAS), which has been developed by USGS scientists for the purposes of projecting land change and its...The LUCAS Model
Our team is developing the Land Use and Carbon Scenario Simulator (LUCAS) model. LUCAS is a state-and-transition simulation model designed to track changes in land use, land cover, land management, and disturbance, and their impacts on ecosystem carbon storage and flux.Land use and tsunami hazards in the 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 residents...California land-change projections
This dataset consists of modeled projections of land use and land cover and population for the State of California for the period 1970-2101. 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...Land change and water use in California
Water shortages in California are a growing concern amidst ongoing drought, earlier spring snowmelt, projected future climate warming, and currently mandated water-use restrictions. Increases in population and land use in coming decades will place additional pressure on already limited available water supplies. We used a state-and-transition simulation model to project future changes in developed...Land use and carbon modeling in the Sierra Nevada Mountains
The goal of this study was to develop an integrated, regional-scale terrestrial carbon model, which can project changes in ecosystem carbon dynamics resulting from both changing biophysical conditions (e.g. CO2 fertilization, changes in climate) and land-change processes (e.g. urbanization, agricultural intensification, wildfire, harvest).Our objective was to develop a modeling framework which...Great Dismal Swamp carbon dynamics
The Land Use and Carbon Scenario Simulator (LUCAS) model was used to develop a baseline carbon (C) budget for the Great Dismal Swamp, VA., using an annualized Stock-Flow approach. The model infrastructure will be used going forward to assist with future land management and ecosystem services assessments.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... - Data
Data Release - CONUS carbon budget related to Global Change Biology publication
This simulated ecosystem carbon dataset is used to report terrestrial carbon budget of the conterminous U.S. in the Golobal Change Biology paper "Critical land change information enhances understanding of carbon balance in the U.S." The data is derived from simulations of the parallel Integrated Biosphere simulator (pIBIS). Annual carbon variables cover 1971-2015 at 1-km (960m) spatial resolutionRestoration and Conservation Opportunity Maps for the conterminous U.S. (CONUS)
Nature-based solutions is a leading policy option for mitigating climate change. We mapped areas of potential restoration and conservation opportunities in the conterminous U.S. (CONUS). The potential for five scenarios were examined: increasing forest cover in urban centers, restoring historically forested areas that have been converted to grasslands, conserving pristine grasslands, rewetting peaFrequency of forest change across the conterminous United States from 1985-2020
We summarized annual remote sensing land cover classifications from the U.S. Geological Survey Land Cover Monitoring, Assessment, and Projection (LCMAP) annual time series to characterize the frequency of forest change across the conterminous United States (CONUS) between 1985-2020. Data include a raster map of CONUS with pixel values representing the number of years in which it was classified asCarbon stocks and fluxes for the conterminous United States 2001-2020
Spatially explicit maps of annual forest carbon stocks and tabular estimates of land use/land cover change, LULC transitions, carbon stocks and carbon fluxes for selected regions and geographies. Estimates span the period from 2001-2020. Scenarios included are defined with a unique numerical identifier. scn160 = Full Simulation (Land use and Climate Effects) scn155 = Climate Effects only scn156Federal Lands Greenhouse Gas Emissions and Sequestration in the United States: Estimates 2005-14 - Data Release
This dataset includes ten years of emissions and sequestration estimates (2005-2014) in two separate tables, 1) the combustion and extraction of fossil fuels on Federal lands and 2) processes from the ecosystems on those Federal lands. The fossil fuel related estimates include the greenhouse gases carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), and the ecosystems estimates include onSimulated 1km resolution 1971-2015 ecosystem carbon variables from the IBIS model (2017/09/12)
This simulated ecosystem carbon dataset is derived from simulations of the parallel Integrated Biosphere simulator (pIBIS). Annual carbon variables cover 1971-2015 at 1-km (960m) spatial resolution with 3052 rows and 4823 columns. Carbon stock and flux units are in kgC/m2 and kgC/m2/yr, respectively. Data are in NetCDF format and Albers equal area projection. Overall data creation steps: 1. The pIA 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, we ran 1Land-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 simulations wer - Maps
Earthquakes and faults in southern California (1970-2010)
The map depicts both active and inactive faults and earthquakes magnitude 1.5 to 7.3 in southern California (1970–2010). The bathymetry was generated from digital files from the California Department of Fish And Game, Marine Region, Coastal Bathymetry Project. Elevation data are from the U.S. Geological Survey National Elevation Database. Landsat satellite image is from fourteen Landsat 5 ThematicResults of land cover change detection analysis in and around Cordillera Azul National Park, Peru
The first product of the Optimizing Design and Management of Protected Areas for Conservation Project is a land cover change detection analysis based on Landsat thematic mapper (TM) and enhanced thematic mapper plus (ETM+) imagery collected at intervals between 1989 and 2002. The goal of this analysis was to quantify and analyze patterns of forest clearing, land conversion, and other disturbancesEarthquakes and faults in the San Francisco Bay area (1970-2003)
The map depicts both active and inactive faults and earthquakes magnitude 1.5 to 7.0 in the greater San Francisco Bay area. Twenty-two earthquakes magnitude 5.0 and greater are indicated on the map and listed chronologically in an accompanying table. The data are compiled from records from 1970-2003. The bathymetry was generated from a digital version of NOAA maps and hydrogeographic data for San - Multimedia
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Filter Total Items: 51
Operational assessment tool for forest carbon dynamics for the United States: A new spatially explicit approach linking the LUCAS and CBM-CFS3 models
BackgroundQuantifying the carbon balance of forested ecosystems has been the subject of intense study involving the development of numerous methodological approaches. Forest inventories, processes-based biogeochemical models, and inversion methods have all been used to estimate the contribution of U.S. forests to the global terrestrial carbon sink. However, estimates have ranged widely, largely baAuthorsBenjamin M. Sleeter, Leonardo Frid, Bronwyn Rayfield, Colin Daniel, Zhiliang Zhu, Dave MarvinEcosystem carbon balance in the Hawaiian Islands under different scenarios of future climate and land use change
The State of Hawai'i passed legislation to be carbon neutral by 2045, a goal that will partly depend on carbon sequestration by terrestrial ecosystems. However, there is considerable uncertainty surrounding the future direction and magnitude of the land carbon sink in the Hawaiian Islands. We used the Land Use and Carbon Scenario Simulator (LUCAS), a spatially explicit stochastic simulation modelAuthorsPaul Selmants, Benjamin M. Sleeter, Jinxun Liu, Tamara S. Wilson, Clay Trauernicht, Abby G. Frazier, Gregory P. AsnerModeling watershed carbon dynamics as affected by land cover change and soil erosion
Process-based ecosystem carbon cycle models typically incorporate vegetation growth, vegetation mortality, and soil respiration as well as the biotic and environmental drivers that influence these variables. However, few spatially explicit process models can efficiently incorporate the influence of land cover change and carbon lateral movement at regional scales or high spatial resolution. This stAuthorsJinxun Liu, Benjamin M. Sleeter, Paul Selmants, Jiaojiao Diao, Qiang Zhou, Bruce Worstell, Monica Mei Jeen MoritschSubstantially greater carbon emissions estimated based on annual land-use transition data
Quantifying land-use and land-cover change (LULCC) effects on carbon sources and sinks has been very challenging because of the availability and quality of LULCC data. As the largest estuary in the United States, Chesapeake Bay is a rapidly changing region and is affected by human activities. A new annual land-use and land-cover (LULC) data product developed by the U.S. Geological Survey Land ChanAuthorsJiaojiao Diao, Jinxun Liu, Zhiliang Zhu, Mingshi Li, Benjamin M. SleeterEffects of 21st century climate, land use, and disturbances on ecosystem carbon balance in California
Terrestrial ecosystems are an important sink for atmospheric carbon dioxide (CO2), sequestering ~30% of annual anthropogenic emissions and slowing the rise of atmospheric CO2. However, the future direction and magnitude of the land sink is highly uncertain. We examined how historical and projected changes in climate, land use, and ecosystem disturbances affect the carbon balance of terrestrial ecoAuthorsBenjamin M. Sleeter, David Marvin, D. Richard Cameron, Paul Selmants, LeRoy Westerling, Jason R. Kreitler, Colin Daniel, Jinxun Liu, Tamara S. WilsonFederal lands greenhouse emissions and sequestration in the United States—Estimates for 2005–14
In January 2016, the Secretary of the U.S. Department of the Interior tasked the U.S. Geological Survey (USGS) with producing a publicly available and annually updated database of estimated greenhouse gas emissions associated with the extraction and use (predominantly some form of combustion) of fossil fuels from Federal lands. In response, the USGS has produced estimates of the greenhouse gas emi
AuthorsMatthew D. Merrill, Benjamin M. Sleeter, Philip A. Freeman, Jinxun Liu, Peter D. Warwick, Bradley C. ReedIncreasing soil organic carbon to mitigate greenhouse gases and increase climate resiliency for California
Rising air temperatures are projected to continue to drive up urban, agricultural, and rangeland water use, straining both surface and groundwater resources. Scientific studies have shown that managing farms, ranches, and public lands to increase soil carbon can increase soil waterholding capacity and increase hydrologic benefits such as increased baseflows and aquifer recharge, reduced flooding aAuthorsLorraine E. Flint, Alan L. Flint, Michelle A. Stern, Allegra Mayer, Whendee L. Silver, Clyde Casey, Fabiano Franco, Kristin B. Byrd, Benjamin M. Sleeter, P. Alvarez, J. Creque, T. Estrada, D. CameronAdaptation with climate uncertainty: An examination of agricultural land use in the United States
This paper examines adaptation responses to climate change through adjustment of agricultural land use. The climate drivers we examine are changes in long-term climate normals (e.g., 10-year moving averages) and changes in inter-annual climate variability. Using US county level data over 1982 to 2012 from Census of Agriculture, we find that impacts of long-term climate normals are as important asAuthorsJianhong E. Mu, Bruce A. McCarl, Benjamin M. Sleeter, John T. Abatzoglou, Hongliang ZhangEffects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States
Changes in land use and land cover (LULC) can have profound effects on terrestrial carbon dynamics, yet their effects on the global carbon budget remain uncertain. While land change impacts on ecosystem carbon dynamics have been the focus of numerous studies, few efforts have been based on observational data incorporating multiple ecosystem types spanning large geographic areas over long time horiAuthorsBenjamin M. Sleeter, Jinxun Liu, Colin Daniel, Bronwyn Rayfield, Jason T. Sherba, Todd Hawbaker, Zhiliang Zhu, Paul Selmants, Thomas R. LovelandLand cover and land use change
Climate can affect and be affected by changes in land cover (the physical features that cover the land such as trees or pavement) and land use (human management and activities on land, such as mining or recreation). A forest, for instance, would likely include tree cover but could also include areas of recent tree removals currently covered by open grass areas. Land cover and use are inherently coAuthorsBenjamin M. Sleeter, Thomas Loveland, Grant Domke, Nate Herold, James Wickham, Nathan J. WoodIntegrating 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 response toAuthorsColin J. Daniel, Benjamin M. Sleeter, Leonardo Frid, Marie-Josée FortinFuture 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 land useAuthorsBenjamin M. Sleeter, Tamara S. Wilson, Ethan Sharygin, Jason T. Sherba - News