The Anza Borrego Desert State Park (ABDSP) Vegetation Map depicts vegetation within the Park and its surrounding environment. The map was prepared by the Department of Fish and Game (DFG) under contract to the Department of Parks and Recreation (DPR) to assist DPR with preparation of a General Plan for ABDSP. The vegetation map was prepared using aerial photographs, field investigation, vegetation classification, and GIS processing and provides information on the location and extent of 94 vegetation types in the project area. The primary vegetation classification used for the project is based on A Manual of California Vegetation (Sawyer and Keeler-Wolf 1995). The data and classification work arising from this project will be used to refine future editions of the Manual. The vegetation map references other vegetation classifications as well.

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This Vegetation Map of the San Felipe Valley Wildlife Area in San Diego County, California is based on vegetation samples collected in the field in 2002 and 2005 and on photo interpretation of a 2000 Color Infrared (CIR) Image. The map legend is based on classification of the plots and follows the hierarchical National Vegetation Classification System (USGS-NPS 2005) and Manual of California (Sawyer and Keeler-Wolf 1995). Types are cross-walked to California Wildlife Habitat Relationships (CWHR) and Holland types. No report was produced; this metadata serves to document the entire project. WHAT EACH RECORD REPRESENTS: Each record represents the attributes of the individual polygon in the map layer, including vegetation type, structural information, and disturbance information. The map represents vegetation as it existing prior to the 2002 Pines Fire. Polygons are attributed to the lowest level of the classification hierarchy allowed by the image resolution and comfort level of the photo interpreter. Thus, individual polygons are mapped to the Formation, Alliance or Association level. Several "mapping units" not in the vegetation classification were also used in the mapping classification (=map legend). The hierarchical classification and crosswalk allow mapping at coarser levels or in different systems (e.g., CWHR). If mapping at the Formation level (the "1000s" in the spreadsheet), please consider including the California juniper types 2106, 2171, 2172 and 2173 in the 4000s (Evergreen Shrubland). This juniper is considered a tree in the national classification, but is more shrub-like and its desert affinities make California juniper types fit more logically into the Evergreen Shrubland Formation.

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The U.S. Bureau of Land Management (BLM) contracted Aerial Information Systems, Inc. (AIS) to continue vegetation classification development and fine-scale vegetation mapping of 1,016,668 acres over four subareas within Inyo, Kern, and Imperial counties of the Desert Renewable Energy Conservation Plan (DRECP) region. The four subareas are designated as Salton Sea South (224,763 acres), Jawbone South (204,133 acres), Owens Valley (392,906 acres), and Picacho (194,866 acres). Work performed is based on the classification and mapping standards as outlined in the Survey of California Vegetation, Classification, and Mapping Standards developed by the California Department of Fish and Wildlifes (CDFW) Vegetation, Classification, and Mapping Program (VegCAMP) (VegCAMP, 2020). California Native Plant Society (CNPS), as a subcontractor to AIS, conducted any classification development work needed for this project and conducted the accuracy assessment surveys. The subareas included in this map are Jawbone North (151,986 acres), Jawbone South (204,133 acres), and Owens Valley (392,906 acres). BIOS ds735 contains the other areas.The previous mapping for the DRECP region was conducted in two phases from 2011 to 2016 for the California Energy Commission. The maps were primarily produced to support the DRECP by helping planners more accurately identify high quality habitat and rare communities as they consider renewable energy sources and conservation opportunities. In 2011-2012 AIS and VegCAMP created a fine-scale vegetation map covering approximately six million acres of portions of the Mojave and Sonoran Deserts in southern California (Menke et al., 2013). In addition, mapping of 95,981 acres within Rice and Vidal Valleys in the Colorado Desert portion of the Sonoran Desert was completed by AIS in 2013-2014 as an extension to the original project. Subsequently, between 2014 and 2016, AIS was tasked to create a fine-scale vegetation map of 2,195,415 acres of desert in Inyo, San Bernardino, Riverside, and Imperial counties in southern California. Areas mapped include the eastern and central portions of the Mojave Desert as well as the Lower Colorado Valley (also referred to as the Colorado Desert), and the Arizona Upland subdivisions of the Sonoran Desert (Menke et al., 2016). The vegetation classification follows Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS). The classification is based on new and previous survey and classification work. The map was produced applying heads-up digitizing techniques using a base of 2016 or 2018 one-meter National Agricultural Imagery Program (NAIP) imagery (true-color and color infrared), in conjunction with ancillary data and imagery sources. Map polygons are assessed for Vegetation Type, Percent Cover, Exotics, Development Disturbance, and other attributes. The minimum mapping unit (MMU) is 10 acres; exceptions are made for wetlands and certain wash types (which were mapped to a 1 or 5 acre MMU, depending on type) and areas characterized as Land Use polygons (which were mapped to a 2.5 acre MMU). In the progression to non-desert areas the MMU transitioned to 1 acre for upland types and 1/4 acre for special types. Field reconnaissance and accuracy assessment enhanced map quality. There were a total of 126 mapping classes. The overall accuracy assessment ratings for the final vegetation map were 86.23 percent for Users Accuracy, and 87.9 for Producers Accuracy.Accuracy assessment ratings for the subareas included in this map are as follows:Owens Valley: Users Accuracy 83.9, Producers Accuracy 85.4Jawbone North: Users Accuracy 86.7, Producers Accuracy 85.5Jawbone South: Users Accuracy 82.8, Producers Accuracy 84.3For detailed information please refer to the following reports: Reyes, E., J. Evens, A. Glass, Sikes, K, Keeler-Wolf, T., D. Johnson, S. Winitsky, J. Menke and A. Hepburn. 2020 CALIFORNIA VEGETATION MAP IN SUPPORT OF THE DESERT RENEWABLE ENERGY

The study area for this project was Garrapata State Park in northwestern Monterey County, California. Development of Garrapata State Park land by Spanish missionaries began in the late 1700s (Costanoan Rumsen Carmel Tribe 2001). Cattle ranching on the land began in the 1830s with land grants to ranchers, beginning a long stint of grazing on most of the land south of the Carmel River. In 1980, the state of California began purchasing parcels of land and the area was officially classified as a state park in 1985 (Garrapata State Park Monterey Sector 2003).Garrapata State Park encompasses 2,866 acres along the pacific coast, immediately south of Carmel Highlands. The area is largely dominated by steep foothills of the coastal Santa Lucia Range and is dissected by several steep creeks: Wildcat Creek, Malpaso Creek, Soberanes Creek, Doud Creek and Granite Creek. Elevation ranges from sea level to 2,011 ft atop Rocky Ridge. The park also contains an approximately 4.1-mile stretch of coastal bluff, rocky intertidal zone, and beach west of Highway. The park''s Mediterranean climate is characterized by dry summers and cool wet winters and receives approximately 28 inches of mean annual precipitation (PRISM 2012). Wildfire is a prominent disturbance in this landscape; the Soberanes Fire which began in Garrapata State Park in 2016 was one of the largest fires recorded in California history, burning 132,127 acres (CAL Fire 2016).The National Vegetation Classification System allows vegetation to be mapped at three broad levels— physiognomy, biogeography, and floristics—each of which can be broken down into multiple sublevels (USNVC 2020). Floristic-level mapping provides the finest resolution and is the only level to reflect local environmental conditions. Such fine-scale data resolution helps establish a more precise inventory of native and non-native vegetation communities, which benefits land managers interested in protecting valued natural resources, monitoring fuel loads for fire management, and understanding habitat requirements of wildlife. We attempted to map vegetation communities to the alliance sublevel, which is the broadest sublevel at the floristic level of mapping. We did not attempt to map associations, which occur at the level below alliances.Vegetation community mapping comprised preliminary delineation of somewhat homogeneous vegetation stands, field-based classification of alliances and other mapping units, and quality assurance. We first estimated the boundaries of stands using aerial and satellite-derived orthoimagery which were later classified through field observations. Most of the stands we mapped were conformant with previously defined alliances. Non-conformant stands were classified within novel mapping units, defined in Appendix B. We also used novel mapping units for two situations where the exact alliance could not be readily determined in fall; these classes were “Willows” and “Unidentified annual grasses”.We examined aerial and satellite imagery to initially digitize polygons around areas where vegetation looked homogenous and distinct from surrounding areas. We used a mosaic of natural color (red, green, blue [RGB] band) and color infrared (CIR) National Agriculture Imagery Program (NAIP) orthophotos to conduct initial digitizing of vegetation alliance polygons. Polygons were delineated based on areas of visible homogeneity within the landscape; breaks or abrupt changes in color, structure, or relative height of vegetation usually indicated the need to create separate vegetation community polygons. We established minimum mapping units (MMUs) of 0.25 acres for common mapping units and 0.1 acres for uncommon classes, to maximize the level of detail conveyed in vegetation maps given time constraints and clarity of aerial and satellite imagery. The status of each vegetation community polygon was indicated as “unconfirmed” until field crews verified whether initial delineations were correct.Polygons were