Filters: Tags: Disturbance (X) > partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: Benjamin M Sleeter (X)
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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...
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...
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 forest change across the conterminous United States (CONUS) for the years 1985-2020. The raster output includes a map where each pixel is given an integer value based on the number of years in which it was classified as forest across the annual LCMAP time series. Values of 36 indicate the pixel was classified as forest across all years while a value of 0 indicates forests (tree cover) was never detected during the time series.
This data series provides annual maps of carbon stocks for conterminous U.S. forests. Annual raster maps are provided at 1-km resolution for the period 2001-2020. Carbon stock estimates were derived by linking the Land Use and Carbon Scenario Simulator (LUCAS) model and the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) as described in the accompanying publication. The model was run on an annual timestep for the period 2001-2020. Four scenario simulations were conducted including 1) the combined effects of land use and land cover change (LULC) and climate, 2) only LULC effects, 3) only climate effects, and 4) no effects from either LULC or climate.
Tabular data output from a series of modeling simulations for forest ecoystems of the continental United States (CONUS). We linked the LUCAS model of land-use and land-cover change with the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) to project changes in forest ecosystem carbon balance resulting from land use, land use change, climate change, and disturbance from wildfire and insect mortality. The model was run at a 1-km spatial resolution on an annual timestep for the years 2001 to 2020. We simulated four unique scenarios, consisting of a climate change only scenario, a land-use change only scenario, a combined climate and land-use change scenario, and a no change scenario. Results presented here...
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 as forest across the annual LCMAP time series (0-36), as well as tabular data summarizing forest change by area and proportion for each of the 48 conterminous U.S. states and the District of Columbia. Tabular output includes information on 1) the area classified as forest in each State by year, 2) the forest area in each frequency...
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