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Filters: Tags: Carbon balance (X) > partyWithName: U.S. Geological Survey - ScienceBase (X) > partyWithName: Paul C Selmants (X) > partyWithName: U.S. Geological Survey (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...
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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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Tabular data output from a series of modeling simulations for the seven main Hawaiian Islands. We used the LUCAS model to project changes in ecosystem carbon balance resulting from land use, land use change, climate change, and wildfire. The model was run at a 250-m spatial resolution on an annual timestep from the years 2010 to 2100. We simulated four unique scenarios, consisting of all combinations of two land-use scenarios and two radiative forcing scenarios. For each scenario, we ran 30 Monte Carlo realizations of the model. Results presented here have been aggregated from the individual cell level and summarized by island or vegetation class. Model input data and the R code used to generate it, as well as R...


    map background search result map search result map 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 Land change and carbon balance projections for the Hawaiian Islands Land change and carbon balance projections for the Hawaiian Islands 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