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Landscape Change

We develop tools and techniques for forecasting changes in vegetation, land use, and land cover.

Landscape Change

We develop tools and techniques for forecasting changes in vegetation, land use, and land cover.

Vegetation, land use, and land cover change

ApexRMS develops and supports an open-source software tool, called ST-Sim, for creating and running spatially-explicit simulation models of landscape change. ST-Sim uses a state-and-transition simulation model (STSM) approach to forecast landscape dynamics, including projecting changes in both vegetation and land use/land cover. Because the STSM method is inherently stochastic, it is well suited for characterizing uncertainty in model projections.

STSMs have been applied to a wide range of landscapes and management questions, including forests, rangelands, grasslands, wetlands, aquatic communities and urban areas, over spatial extents ranging from thousands to millions of hectares. Additional details on the STSM approach can be found in the paper by Daniel, Frid, Sleeter, and Fortin (2016) (also summarized in a 13 minute video). The integration of STSMs with stock-flow models of continuous variables, such as biomass and carbon, can be found in a second paper by Daniel, Sleeter, Frid, and Fortin (2018).

We designed ST-Sim, a package that plugs into theSyncroSim modeling framework. As a result, it can run under both Windows and Linux; it can also be run from the R programming language using the rsyncrosim R package and from the Python programming language using the pysyncrosim Python packageThe ongoing development of ST-Sim has been generously supported by several agencies, including the U.S. Geological Survey, The Nature Conservancy, and the U.S. Forest Service.

An introduction to state-and-transition simulation models using the software, SyncroSim, and base package, ST-Sim.

Selected Clients: 

United States Geological Survey
United States Forest Service
United States Department of Agriculture
National Aeronautics and Space Administration
Environment and Climate Change Canada
Commonwealth Scientific and Industrial Research Organisation
The Nature Conservancy
University of British Columbia
Government of Ontario
Government of Alberta

Vegetation, land use, and land cover change

ApexRMS develops and supports an open-source software tool, called ST-Sim, for creating and running spatially-explicit simulation models of landscape change. ST-Sim uses a state-and-transition simulation model (STSM) approach to forecast landscape dynamics, including projecting changes in both vegetation and land use/land cover. Because the STSM method is inherently stochastic, it is well suited for characterizing uncertainty in model projections.

STSMs have been applied to a wide range of landscapes and management questions, including forests, rangelands, grasslands, wetlands, aquatic communities and urban areas, over spatial extents ranging from thousands to millions of hectares. Additional details on the STSM approach can be found in the paper by Daniel, Frid, Sleeter, and Fortin (2016) (also summarized in a 13 minute video). The integration of STSMs with stock-flow models of continuous variables, such as biomass and carbon, can be found in a second paper by Daniel, Sleeter, Frid, and Fortin (2018).

We designed ST-Sim, a package that plugs into theSyncroSim modeling framework. As a result, it can run under both Windows and Linux; it can also be run from the R programming language using the rsyncrosim R package and from the Python programming language using the pysyncrosim Python packageThe ongoing development of ST-Sim has been generously supported by several agencies, including the U.S. Geological Survey, The Nature Conservancy, and the U.S. Forest Service.

An introduction to state-and-transition simulation models using the software, SyncroSim, and base package, ST-Sim.

Selected Clients: 

Landscape Change

Selected Clients: 

Landscape Change

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