A state-and-transition model (STM) conceptualizes vegetation in terms of discrete states and the transitions or pathways between them (Westoby 1989). States are often used to represent discrete development (seral) stages, and transitions may represent disturbances such as hurricanes, fire, or grazing, but can also represent management actions such as thinning, livestock management, or herbicide application.
When a STM is built in a software environment with rates of growth between states and probabilities for each transition, it is known as a state-and-transition simulation model (STSM; Daniel et al. 2016). A STSM can be used to simulate the dynamics of a system over time and space. STSMs have been widely applied in natural resource management to estimate historical conditions (Donato et al. 2020, Blankenship et al. 2012), simulate the spread of invasive species (Jarnevich et al. 2019), test various management scenarios (Low et al. 2010, Costanza et al. 2015a), and forecast future landscape conditions under different climates (Provencher et al. 2016, Swearingen et al. 2015, Costanza et al. 2015b).
The LANDFIRE Program, in collaboration with experts around the country, created a set of over 900 STSMs for ecosystems in the United States Blankenship et al. 2021. Each LANDFIRE STSM represents a Biophysical Setting (BpS). A BpS is a vegetation concept that describes the vegetation community likely to have been dominant on the landscape prior to European colonization of North America given an approximation of historical disturbance regimes and the current biophysical environment.
LANDFIRE BpS models are reference condition models that define natural vegetation communities and their historical disturbance regimes. On the modeling work page you will learn more about these models and how to modify them to represent current landscapes and simulate possible future conditions.
Understanding how ecosystems looked and worked prior to European colonization of North America is a focus of the BpS body of work. The process was to:
Classify and define the ecosystems. LANDFIRE calls the historic ecosystems “Biophysical Settings”, and used NatureServe’s Ecological Systems
The LANDFIRE team held expert workshops to:
Each LANDFIRE BpS has a description document and a
state-and-transition simulation model.
Each BpS has an extensive description. See the description from the Inter-Mountain Basins Montane Sagebrush Steppe Ecosystem example.
Each description includes:
Experts developed a state-and-transition simulation model to represent every LANDFIRE BpS. The models are developed and delivered in the SyncroSim software, ST-Sim package. LANDFIRE BpS models are standardized in several ways. Modelers defined each BpS with five or fewer succession classes (i.e. states) and used a subset of the SyncroSim software functions. In addition, modelers used a pre-defined list of disturbances to attribute disturbance transitions. This list included “optional” types that allowed modelers to define and model any disturbance they wanted to include. Modeled states and transitions are described in the model description discussed above. Pairing the model with the description helps the user understand what the various states and transitions represent. It may also offer users additional information such as how disturbance probabilities were calculated, and any assumptions made by model developers.
LANDFIRE models and descriptions were designed for use over large areas - not your back yard. BpS models were developed to represent conditions at the National Land Cover Database Map Zone level Modeling Work. That said, people do use them for smaller areas. Success of downscaling depends on factors such as:
LANDFIRE currently develops and delivers its STSMs in the SyncroSim modeling
platform. SyncroSim is a free and flexible platform designed to manage
data for simulation modeling. Packages developed for SyncroSim can be
used for any kind of simulation model with structured input and output
data. ST-Sim is a SyncroSim package that LANDFIRE uses to develop its
STSMs. ST-Sim can be used to model vegetation and land use and land
cover changes for virtually any ecosystem or landscape. The model is
stochastic (randomly determined) and can be run either spatially or
non-spatially. While LANDFIRE BpS models are non-spatial, there are many
examples of spatial STSMs (see Daniel and Frid 2011.
We recommend that users follow the steps below for downloading SyncroSim and St-Sim
Do not skip this step.
To work through this tutorial you will need to load 2 packages: 1) St-Sim and 2) landfirevegmodels. The “landfirevegmodels” package gives users quick access to all of the BpS models, tables of Succession Class (or in STSM language “states”) definitions and mapping rules.
In SyncroSim, navigate to ‘File’ -> ‘Packages’ -> select ‘ST-Sim state-and-transition model’ and 2020 ‘landfirevegmodels’)-> ‘Install’ -> OK (see screenshot below).