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Landscape Change

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

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. 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 et al (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 et al (2018).

 

ST-Sim is a package that plugs into the SyncroSim 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. The 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. 

Feature Project:

Effects of land cover change on the carbon balance of terrestrial ecosystems in the U.S. 

Other Focus Areas

Populations Dynamics

We predict the dynamics of animal populations & disease, including COVID-19.

Details →

Ecosystem Services

We analyze and forecast the fate of ecosystem services, including carbon, animal habitat, and habitat connectivity.

Details →

Landscape Change

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

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. 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 et al (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 et al (2018).

 

ST-Sim is a package that plugs into the SyncroSim 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. The 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. 

Feature Project:

Effects of land cover change on the carbon balance of terrestrial ecosystems in the U.S. 

Other Focus Areas

Populations Dynamics

We predict the dynamics of animal populations & disease, including COVID-19.

Details →

Ecosystem Services

We analyze and forecast the fate of ecosystem services, including carbon, animal habitat, and habitat connectivity.

Details →