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All New Mexico Conservation Science downloads

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Green Infrastructure (November 2009)

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,

Download file (7 MB)

Fragmentation (November 2009)

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.

Download file (290 MB)

Forest Health (November 2009)

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

Download file (17 MB)

Economic Potential (November 2009)

The economic potential data model highlights areas where forests and rangelands play a major role in local or state economic growth or could in the future. The model also highlights areas that contribute to the development of emerging markets, such as biomass energy. The model is based on four submodels: one highlighting the availability of saw timber, one emphasizing the availability of lower-value material such as firewood or biomass for energy, one valuing the economic importance of natural resources-based recreation, and one mapping expected rangeland productivity.

Download file (110 MB)

Development Potential (November 2009)

This data model emphasizes areas that are projected to experience increased housing development in the next 30 years. The housing development density data were based on data derived using the Spatially Explicit Regional Growth Model (SERGoM) developed by Dr. Dave Theobald (Colorado State University), and more fully described in the data atlas (http://allaboutwatersheds.org/groups/SAS/public/data-atlases). The final data model represents areas expected to experience an increase in housing development with priority given to those development changes considered most critical to the stakeholder group.

Download file (5 MB)

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