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This dataset consists of annual raster maps of ecosystem carbon stocks, land use and land cover classes, and transition probabilities for the State of California during historical (1985-2020) and projected future (2021-2100) time periods. Data are simulation model output from the The Land Use and Carbon Simulator (LUCAS; Sleeter et al. 2022) run under different climate and land management scenarios. LUCAS model simulations were conducted on an annual timestep at 1-km spatial resolution with 40 Monte Carlo realizations per simulation. For the projected future time period, the model was run under all combinations of four climate scenarios, two urbanization scenarios, and two vegetation management scenarios. The climate...
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This research focuses 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. This project supports the development of the Land-use and Carbon Scenario Simulator (LUCAS) model. LUCAS tracks changes in land use, land cover, land management, and disturbance, and their impacts on ecosystem carbon storage and flux by combining: A State-and-Transition Simulation Model (STSM) to simulate changes in land-use across a range of geographic scales. A Stock and Flow Model to track...


    map background search result map search result map LUCAS modeling Land change and carbon balance scenario projections for the State of California Historical and projected future land change and ecosystem carbon stocks for California Land change and carbon balance scenario projections for the State of California Historical and projected future land change and ecosystem carbon stocks for California LUCAS modeling