GIS dataset that depicts intensity and spatial distribution of prior human modification on non-tribal Arizona lands. Based on inspection of 2010 aerial imagery and reference datasets, prior human modification estimated within one square mile hexagons in following categories: 0%, 1-5%, 5-25%, 25-50, and >50%. Dataset can be used to inform conservation and infrastructure planning.
Includes 4 GIS datasets mapped to 1:100,000 scale stream-based hydrography for Arizona, including 1) the habitat for 33 native fish species, 2) former and current perennial surface flow for Arizona’s rivers, 3) the distribution of threatened and endangered species (ESA) that require aquatic or riparian habitats, and 4) Wild and Scenic River designations. Updated Dec 2010.
GIS data set that integrates 10 local, state, and regional datasets which identify open space lands and sensitive biological lands. This data set is a composite or simplification of the source data sets – the boundaries of all individual data layers have been dissolved into one composite data layer. Note: We did not integrate wildlife linkages data from 2 of the studies in this composite layer because we are awaiting to obtain permission from the source agencies.
GIS data set that aggregates the information from 19 ecoregional assessments across western North America packaged as a personal geodatabase for use with ArcGIS 9.x and Microsoft Access software products. Note: this data set replaces the six-ecoregion geodatabase formerly posted on this site.
TNC developed a digital version for the whole of David E. Brown and Charles H. Lowe’s 1981 map. Previously, GIS representations of this map were only available for its Arizona and New Mexico portions. Users: please note the relatively coarse source scale of the paper map (1:1,000,000) when using this digital version for analyses. A layer file (.lyr) which mimics the familiar color scheme of the paper map is also provided.
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.
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