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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.
The intent of the Water Quality and Supply data model is to prioritize watersheds important for supplying sustainable water along with the potential risks to water quality. For the foundation of the model, the technical team identified the following 10 available data layers: public drinking supply, priority watersheds identified by the New Mexico Nonpoint Source Management Program (WQCC 2009), impaired waters (see below for complete description), specific New Mexico Environment Department (NMED) impaired/impacted watersheds, percent irrigated cropland and pasture, NMED water quality risks, aquifer recharge areas, aquifer vulnerability, impervious surface, and erosion risk.
Green Infrastructure for the purposes of this model represents an interconnected system of natural areas and other open spaces that are protected and managed for the ecological benefits they provide to people and the environment.The Green Infrastructure data model connected 20 key natural and protected areas using a least cost path analysis. The key areas, or hubs, include the 10 most diverse protected areas as identified through the TNC ecoregional planning efforts and the 10 largest protected areas as identified through the SWReGAP stewardship layer and are assumed to represent the highest quality habitat with an excellent source for ecosystem services such as availability of clean water and a refuge to help maintain healthy wildlife populations. The resulting hub and corridor layer was then prioritized based on ancillary data representing high value conservation areas,
The purpose of the model is to represent the current extent of fragmentation of forests, woodlands and rangelands. The fragmentation model combines patch size and patch continuity with diversity of vegetation types per patch and rarity of vegetation types per patch. A patch was defined as an area of natural vegetation not bisected by roads, utilities, or rails. Patch size and continuity were calculated separately for forests, woodlands, shrublands, grasslands and riparian areas.
The intent of the Forest Health data model is to emphasize forest and woodland areas that are susceptible to insect and disease outbreaks. The model is comprised of four available data layers including stand density index (SDI), basal area loss, drought stress, and insect and disease surveys for the model
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