Two new papers in GCB Bioenergy explore the impacts of bioenergy driven land use change on wildlife habitat in North Carolina using ST-Sim. Costanza 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.
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.
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.
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.
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.
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.
A recently published book by Gerimino and others includes an informative chapter by Louis Provencher, Leonardo Frid, Christina Czembor and Jeffrey Morisette on applying state-and-transition simulation models to exotic brome-grasses in arid and semiarid ecosystems of the Western US. This chapter gives an overview of state-and-transition simulation models (STSMs) from a range management perspective and demonstrates STSM applications for determining efficient management resource allocation strategies; evaluating sources of uncertainty in models informed by expert opinion; and considering the potential consequences of climate change on land management outcomes.
This webinar, presented to the Joint Fire Science Program by Dr. Matt Reeves (Rocky Mountain Research Station) and Leonardo Frid (ApexRMS), demonstrates how conceptual state-and-transition models from NRCS ecological site descriptions can be quantified and used to consider the impacts of alternative management scenarios on rangeland composition, structure and fueldbed components. The development of this approach is part of a larger project to develop a Rangeland Vegetation Simulator (RVS) analogous to and compatible with the Forest Vegetation Simulator (FVS).
To view the webinar click on the link below:
The early registration deadline for the Introduction to State-and-Transition Simulation Modeling of Landscape Dynamics is November 1st.
This two-day course will be held in downtown Durham’s historic entertainment district, and a short walk from Duke University campus. The course provides a foundation for developing and running state-and-transition simulation models of landscape change using the ST-Sim software.