LANDFIRE Rapid Assessment Reference Condition Model: Black sage

Nov 11, 2010 (Last modified Nov 14, 2010)
Dataset was scientifically peer reviewed
Description:
The Rapid Assessment (RA) vegetation dynamics data help to synthesize the best available knowledge of vegetation dynamics and quantify the natural range of variability in vegetation composition and structure.  Models consist of two components: (1) a comprehensive description and (2) a quantitative, state-and-transition (box) model, created in the public domain software VDDT (Vegetation Dynamics Development Tool; Beukema et al. 2003).

RA vegetation models were based on a simple, standardized five-box model that combines three generic succession stages with two canopy cover classes. Each class is specifically defined for individual models. Variations on this standardized model were also developed.  Models were developed in 2004-2005 during workshops across the conterminous United States where regional vegetation and fire ecology experts synthesized the best available data on vegetation dynamics and disturbances for vegetation communities in their region. A peer review process following workshops garnered additional expert input and offered an opportunity to refine models.

Quantitative models are based on inputs such as fire frequency and severity, the probability of other disturbances, and the rate of vegetation growth. Inputs are derived from literature review and expert input during and after modeling workshops. Models simulate several centuries of vegetation dynamics and produce outputs such as the percent of the landscape in each class and the frequency of disturbances. Outputs are checked against available data whenever possible, and are peer-reviewed during and after expert workshops.

Model descriptions and quantitative outputs were used in the RA to help define and map potential natural vegetation groups, or the vegetation communities that are likely to exist under the natural range of variability in biophysical environments and ecological processes, including fire and other disturbances. Models are used as reference conditions to calculate Fire Regime Condition Class (FRCC), a standardized, interagency index to measure the departure of current conditions from reference conditions (Hann et al 2004).  For a complete description of the methodology used to develop RA vegetation models, please consult the “LANDFIRE Rapid Assessment Modeling Manual” (The Nature Conservancy et al. 2005).



Data Provided By:
The Nature Conservancy, United States Forest Service, United States Geological Survey
Content date:
2005
Citation:
These data were developed at expert workshops facilitated by The Nature Conservancy  where regional vegetation and fire ecology experts synthesized the best available data on vegetation dynamics and disturbances for vegetation communities in their region. A peer review process following workshops garnered additional expert input and offered an opportunity to refine models.  The authors and reviewers of each model are listed in the description file that accompanies each VDDT model.  For more information please refer to the "LANDFIRE Rapid Assessment Modeling Manual" (The Nature Conservancy et al. 2005; available at www.landfire.gov).
Contact Organization:
TNC Landfire Project
Contact Person(s):
Use Constraints:
None. All data are provided as is. The Nature Conservancy makes no warranty as to the currency, completeness, accuracy or utility of any specific data. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data.
Layer:
Layer Type:
Currently Visible Layer:
All Layer Options:
Layers in this dataset are based on combinations of the following options. You may choose from these options to select a specific layer on the map page.
Description:
Spatial Resolution:
Credits:
Citation:
Purpose:
Methods:
References:
Other Information:
Time Period:
Layer Accuracy:
Attribute Accuracy:
FGDC Standard Metadata XML
Click here to see the full FGDC XML file that was created in Data Basin for this layer.
Original Metadata XML
Click here to see the full XML file that was originally uploaded with this layer.

About the Uploader

Conservation Biology Institute

The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.