Interview with Dr Jen Costanza about her research using ST-Sim and LANDFIRE products

LANDFIRE recently conducted an interview with landscape ecologist, Jen Costanza, a professor at North Carolina State University.  Jen has been using ST-Sim in combination with LANDFIRE models to explore the impacts of biofuel production on landscapes and wildlife habitat in the southeastern United States. A news story this month in Science Magazine features Jen’s collaborator Robert Abt, and mentions their recent article in Global Change Biology Bioenergy.

Video tutorials on running spatially explicit models in ST-Sim

We have recently released three new video tutorials on developing spatially explicit state-and-transition simulation models (STSMs) using ST-Sim. These tutorials are based on a simple STSM example published in Methods in Ecology and Evolution, and build up on the original tutorial on developing a non-spatial model in ST-Sim.

ST-Sim based study of California land use and water demand featured in Water Deeply

Water Deeply recently featured an article on a USGS and Nature Conservancy study using ST-Sim to account for potential land use impacts on water demand in California.  In the article, Tamara Wilson, the lead author of the study is interviewed and provides her perspective on the study implications for water management in California.

ST-Sim used to evaluate bioenergy production effects on wildlife habitat

Two new papers in GCB Bioenergy explore the impacts of bioenergy driven land use change on wildlife habitat in North Carolina using ST-SimCostanza et al. 2016 describe the landscape change modeling methods and Tarr et al. 2016 translate landscape changes to changes in habitat for 16 wildlife species.

New publication explaining the approach used in our ST-Sim software for forecasting landscape change

A description of the state-and-transition simulation model (STSM) methodology used in ST-Sim has just been published in the journal Methods in Ecology and Evolution.  The article entitled “State-and-transition simulation models: A framework for forecasting landscape change” describes the general approach used in developing and simulating STSMs and provides an example case study that considers land use and land cover change in the state of Hawaii.

Check out the new website for the Land Use and Carbon Scenario Simulator

The USGS Land Use and Climate Change Team has recently created a new website that describes the Land Use and Carbon Scenario Simulator (LUCAS). ST-Sim is used as the core engine in LUCAS for modeling land use and land cover change and for tracking carbon pools and fluxes.  The LUCAS website highlights a number of diverse applications ranging from local scale scenario analyses of management options for the Great Dismal Swamp to national scale land use projections.

View the online tutorial video on getting started with ST-Sim

Accompanying the release of ST-Sim version 3.0, we have just released a getting started tutorial video. The tutorial guides you through creating, running and viewing results for a simple state-and-transition simulation model using ST-Sim.


ST-Sim Version 3.0 now available for free download

Version 3.0 of ST-Sim, a spatially-explicit State-and-Transition Simulation Model framework, is now available for free download. This version adds a number of important features including: support for user defined probability distributions; enhancements to multiprocessing of model iterations and scenarios; the ability to display stock/flow model pathways; command line utilities for setting model inputs, running the model and exporting model outputs; and enhancements to link external models to ST-Sim.

New publication using ST-Sim considers the impacts of land use on future water demand in California

Authors from the USGS and The Nature Conservancy have recently published an article in Environmental Research Letters that considers the impact of projected land use change on future water demand in California. Using ST-Sim the authors projected potential future land use change and associated water demand.  The research suggests that if recent land use trends and water use efficiency rates continue unchanged to the year 2062, total water use is projected to increase by 1.8 billion cubic meters(+4.1%). Only a 25% reduction in municipal water use would result in no net change in water demand between the years 2012 and 2062.