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Filters: partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: U.S. Geological Survey (X) > partyWithName: Benjamin M Sleeter (X)

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The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's...
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Scenario-based simulation model projections of land use change, ecosystem carbon stocks, and ecosystem carbon fluxes for the State of California from 2001-2101 using the SyncroSim software framework, see http://doc.syncrosim.com/index.php?title=Reference_Guide for software documentation. We explored four land-use scenarios and two radiative forcing scenarios (e.g. Representative Concentration Pathways; RCPs) as simulated by four earth system models (i.e. climate models). Results can be used to understand the drivers of change in ecosystem carbon storage over short, medium, and long (e.g. 100 year) time intervals. See Sleeter et al. (2019) Global Change Biology (doi: 10.1111/gcb.14677) for detailed descriptions of...
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This data series provides tabular output from a series of modeling simulations for the State of California. The methods and results of this research are described in detail in Sleeter et al. (2019). We used the LUCAS model to project changes in ecosystem carbon balance resulting from land use and land use change, climate change, and ecosystem disturbances such as wildfire and drought. The model was run at a 1-km spatial resolution on an annual timestep. We simulated 32 unique scenarios, consisting of 4 land-use scenarios and 2 radiative forcing scenarios as simulated by 4 global climate models. For each scenario, we ran 100 Monte Carlo realizations of the model. Additional details describing the modeling effort...
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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 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 pIBIS model was used to run simulations using climate, vegetation, soil and disturbance input data; 2. Model outputs were...
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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 pIBIS model was used to run simulations using climate, vegetation, soil and disturbance input data; 2. Model outputs were converted to NetCDF format; 3. 1971-2015 subsets were clipped from original 1901-2015 simulation outputs. Variable List: aynbp – annual net biome productivity ayneetot – net ecosystem productivity aynpptot...


    map background search result map search result map Simulated 1km resolution 1971-2015 ecosystem carbon variables from the IBIS model (2017/09/12) Conterminous United States Land Cover Projections - 1992 to 2100 Land change and carbon balance scenario projections for the State of California USGS Data Release: Land change and carbon balance scenario projections for the State of California - model output USGS Data Release: Land change and carbon balance scenario projections for the State of California - model Simulated CONUS-wide 1-km resolution 1971-2015 ecosystem carbon variables from the IBIS model Land change and carbon balance scenario projections for the State of California USGS Data Release: Land change and carbon balance scenario projections for the State of California - model output USGS Data Release: Land change and carbon balance scenario projections for the State of California - model Conterminous United States Land Cover Projections - 1992 to 2100 Simulated 1km resolution 1971-2015 ecosystem carbon variables from the IBIS model (2017/09/12) Simulated CONUS-wide 1-km resolution 1971-2015 ecosystem carbon variables from the IBIS model