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
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Estimating California ecosystem carbon change using process model and land cover disturbance data: 1951-2000
Land use change, natural disturbance, and climate change directly alter ecosystem productivity and carbon stock level. The estimation of ecosystem carbon dynamics depends on the quality of land cover change data and the effectiveness of the ecosystem models that represent the vegetation growth processes and disturbance effects. We used the Integrated Biosphere Simulator (IBIS) and a set of 30- to
Authors
Jinxun Liu, James E. Vogelmann, Zhiliang Zhu, Carl H. Key, Benjamin M. Sleeter, D.T. Price, Jing M. Chen, Mark A. Cochrane, Jeffery C. Eidenshink, Stephen M. Howard, Norman B. Bliss, Hong Jiang
Addressing foundational elements of regional land-use change forecasting
Regional land-use models must address several foundational elements, including understanding geographic setting, establishing regional land-use histories, modeling process and representing drivers of change, representing local land-use patterns, managing issues of scale and complexity, and development of scenarios. Key difficulties include managing an array of biophysical and socioeconomic process
Authors
Terry L. Sohl, Thomas Loveland, Benjamin M. Sleeter, Kristi Sayler, Christopher Barnes
Land-cover trends in the Mojave basin and range ecoregion
The U.S. Geological Survey's Land-Cover Trends Project aims to estimate the rates of contemporary land-cover change within the conterminous United States between 1972 and 2000. A random sampling approach was used to select a representative sample of 10-km by 10-km sample blocks and to estimate change within +/- 1 percent at an 85-percent confidence interval. Landsat Multispectral Scanner, Thematic
Authors
Benjamin M. Sleeter, Christian G. Raumann
Science and Products
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Filter Total Items: 15
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Filter Total Items: 51
Estimating California ecosystem carbon change using process model and land cover disturbance data: 1951-2000
Land use change, natural disturbance, and climate change directly alter ecosystem productivity and carbon stock level. The estimation of ecosystem carbon dynamics depends on the quality of land cover change data and the effectiveness of the ecosystem models that represent the vegetation growth processes and disturbance effects. We used the Integrated Biosphere Simulator (IBIS) and a set of 30- toAuthorsJinxun Liu, James E. Vogelmann, Zhiliang Zhu, Carl H. Key, Benjamin M. Sleeter, D.T. Price, Jing M. Chen, Mark A. Cochrane, Jeffery C. Eidenshink, Stephen M. Howard, Norman B. Bliss, Hong JiangAddressing foundational elements of regional land-use change forecasting
Regional land-use models must address several foundational elements, including understanding geographic setting, establishing regional land-use histories, modeling process and representing drivers of change, representing local land-use patterns, managing issues of scale and complexity, and development of scenarios. Key difficulties include managing an array of biophysical and socioeconomic processAuthorsTerry L. Sohl, Thomas Loveland, Benjamin M. Sleeter, Kristi Sayler, Christopher BarnesLand-cover trends in the Mojave basin and range ecoregion
The U.S. Geological Survey's Land-Cover Trends Project aims to estimate the rates of contemporary land-cover change within the conterminous United States between 1972 and 2000. A random sampling approach was used to select a representative sample of 10-km by 10-km sample blocks and to estimate change within +/- 1 percent at an 85-percent confidence interval. Landsat Multispectral Scanner, ThematicAuthorsBenjamin M. Sleeter, Christian G. Raumann - News