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The Wildfire Risk data model identifies areas with a relatively high risk of destructive wildfire. The intent of this layer is to highlight areas where management is most likely to reduce the risk of wildfire damage, which is defined as reducing the impact of wildfire on natural resources, and human infrastructure and development. The model combines three modeled fire behavior parameters (rate of spread, flame length, crown fire potential) and one modeled ecological health measure (fire regime condition class) with wildland urban interface areas and ignition probability.
A slideshow overview of REA results. It summarizes REA methods and results for condition and restoration opportunity. It also shows how the REA can be focused on particular ecosystems, like Pinon-Juniper invasion of former grasslands and savannas, and on project areas. Some slides are animated (change with mouse click or arrow keys) - so view in full screen. Each slide includes notes.
GIS dataset depicting the biophysical settings for the Jemez Mountains.
Fire regime condition class data for the Jemez Mountains developed as a part of the Fire Learning Network.
A GIS dataset of the mapped REA states and Data Exploration Tool packaged as a personal ArcGIS 9.x geodatabase. The Data Exploration Tool is a beta application produced by Elliott Software (http://ellsoft.us/) for the REA.
This appendix describes the mapped REA states, based on ecological site descriptions, and results of several analyses summarized in the REA final report. See that report for further explanation
The REA is a regional assessment of ecological condition and restoration opportunity on over 14 million acres in central and southern New Mexico. It is the first assessment of its kind to span this area in nearly 30 years. The focus of the report is grassland, shrubland, and savanna ecosystems.
Descriptions of the Historical Range of Variation or Variability (HRV) characterize the change over time and space in the condition of the Southwest’s major vegetation types and the ecological processes that shape those types. HRVs enable land managers and the public to understand the drivers of change in our region’s major vegetation types.
Synthesizes the scientific literature on historical fire return intervals associated with the major vegetation systems across Arizona and New Mexico. Included is a crosswalk table for use with the Southwest Regional Gap Analysis Project's land cover dataset and three ArcGIS layer (.lyr) files that enable the user to mimic the report graphics.
A GIS data set depicting the results of a two-year study to delineate grasslands and evaluate their ecological condition in Arizona, southwestern New Mexico, and northern Mexico. This study was completed with the assistance of resource professionals from U.S. and Mexico universities and public agencies.
This report is the first of two studies completed by TNC and partners to delineate the spatial extent and ecological condition of grasslands in central and southern Arizona, southwestern New Mexico, and northern Mexico. This report covers the 30-million acre Apache Highlands Ecoregion.
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