The following pertains to the GIS data for the vegetation maps of the eastern Cabeza Prieta NWR and adjacent BLM lands, created by Jim Malusa School of Natural Resources and the Environment University of Arizona 204 Biological Sciences East Tucson, Arizona 85721 (jimmalusa@hotmail.com) The vegetation maps are based on field work was from 1999 -2002; maps were drawn in 2003, at the Advanced Resource Technology Group, RM. 203, BioSciEast, Univ. of ARizona, 85721, by drawing "over" the NAIP digital photos (doqq's) from June, 1996, using ArcMap. There are three shapefiles. (1) All vegetation except narrow watercourses are polygons found in cabezablmveg.shp. The attribute table for "cabezablmveg" has a column called Assoc, which refers to the code assigned each veg association. There is another columnn called Veg_Assoc, which lists the name of the association. Both the code and the names appear in the table below. (2) The narrow watercourses (less than 5 meters) are linear features in watercourse.shp. The attribute table has a column called Assoc, which shows two sorts of watercourses, 15 and 214. The former, 15, shows strips of vegetation usually found in floodplains, while 214 is the more typical arroyo, with palo verde and ironwood. Please refer to the report for further detail. (3) The routes traveled during the field work are linear features in routes.shp Projection and datum: UTM Zone 12 N, NAD 1983. ATTRIBUTING the polygons and linear features. The polygons and linear features were attributed with numbers that correspond to the following (which are in the Access database, under tblVegType.) Attribution code Veg Association (association #, minus the "154.1" that precedes every association) 10 Larrea tridentata with annuals 11 Larrea tridentata - Ambrosia dumosa 12 Larrea tridentata - Ambrosia deltoidea 13 Larrea tridentata - Ambrosia deltoidea - Ambrosia dumosa 14 Larrea tridentata - Opuntia bigelovii 15 Larrea tridentata - Prosopis glandulosa floodplain 16 Larrea tridentata - Pleuraphis rigida 170 Larrea tridentata - Ambrosia spp. - Cercidium microphyllum - Olneya tesota (trees <10% cover) 171 Larrea tridentata - Ambrosia spp. - Cercidium microphyllum - Olneya tesota (on pavements) 172 Larrea tridentata - Ambrosia - Cercidium (on caliche terraces) 21 Ambrosia deltoidea - Cercidium microphyllum middle bajada (cactus) (trees >10%cover) 214 Arryoys <5 m (Ambrosia deltoidea/Larrea tridentata) 81 Arroyos >5m (Prosopis glandulosa - Cercidium floridum) 22 Ambrosia deltoidea - Cercidium microphyllum pediment with organ pipe (Stth) 24 Ambrosia - Opuntia bigelovii - Cemi/Olte/Latr 25 Ambrosia - Larrea - Cercidium microphyllum(less than 5% trees) 26 Ambrosia dumosa - Pleuraphis rigida 27 Cercidium microphyllum - Encelia farinosa - Stth - Bumi (elephant tree) 80 Bosque These association numbers are also in the Access database, under tblVegType, except here I have deleted the "154.1" that precedes every association number. It was faster to attribute with fewer numbers. Note: the cabezablmveg shapefile includes a polygon of slopes greater than 20%. This was created by Mickey Reed of the ART Group, using Digital elevation models (DEMs from the Arizona Regional Image Archive (http://aria.arizona.edu/), and the following program: grid bigslope = slope(bigdem, percentrise) classed = con(bigslope gt 20, 1, 0) smoothslope = focalmean(classed, rectangle, 4, 4) smoothint = con(smoothslope gt 0.70, 1, 0) goodpoly = gridpoly(smoothint) q build goodpoly project cover goodpoly goodpoly83 27to83.prj export cover goodpoly83 r:\goodpoly83 The areas with slope greater than 20% are attributed in the coverage as "Association 1". The areas that are denuded because of man or beast are attributed as "Association 4." Mapping units labeled as "2" are mountaintops and mesas isolated by >20% slopes. To add additional xy coordinates from the Access file on this project: The Access table is called tblgeoreference, and the UTM's are in NAD 1927. Consequently, when these are added as a layer, and you wish to identify the sample/releve, the "ID" selection arrow will bring up the correct sample name, but with NAD 1927 UTM coordinates displayed directly from the data base. However, the position on the 1983 map (doqq or drg) is corrected, provided you told the machine that the xy data was 1927 NAD.