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This dataset represents current terrestrial intactness values (estimated at the 1km level) within the modeled distribution of the Parish's phacelia (Phacelia parishii).Terrestrial intactness is high in areas where development is low, vegetation intactness is high, and fragmentation is low. Consequently, this dataset serves as a general* indication of habitat quality within the distribution of this conservation element. Estimates of current terrestrial intactness were generated by an EEMS fuzzy logic model that integrates multiple measures of landscape development and vegetation intactness, including agriculture development (from LANDFIRE EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious Surfaces),...
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These data are statistical model outputs for Barstow woolly sunflower (Eriophyllum mohavense) species distribution, completed by Frank Davis’ Biogeography Lab at UC Santa Barbara. The UCSB Biogeography Lab used Maxent to generate predictions of habitat occupancy for ~70 species for the CA Energy Commission’s project “Cumulative Biological Impacts Framework for Solar Energy in the CA Desert”, 500-10-021. Species distribution models were produced at 270 m resolution using a subset of 22 environmental variables. Models were evaluated with 10-fold cross validated AUC scores. Binary layers depicting predicted suitable habitat were derived using the equal training sensitivity and specificity threshold. For...
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These data are statistical model outputs for Swainson's hawk (Buteo swainsoni ) species distribution, completed by Frank Davis’ Biogeography Lab at UC Santa Barbara. Based on examination of species observation data and consultation with biologists, CBI used the model's narrow extent output masked to the following USFS ecoregion subsections: 322Ag, 322Aa, 322Cc. The UCSB Biogeography Lab used Maxent to generate predictions of habitat occupancy for ~70 species for the CA Energy Commission’s project “Cumulative Biological Impacts Framework for Solar Energy in the CA Desert”, 500-10-021. Species distribution models were produced at 270 m resolution using a subset of 22 environmental variables. Models were...
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The dataset represents the work of multiple states and Federal agencies as part of the US Gap Analysis and LandFire programs. Multi-season satellite imagery (Landsat ETM+) from 1999-2001 were used in conjunction with digital elevation model (DEM) derived datasets (e.g. elevation, landform) to model natural and semi-natural vegetation. The minimum mapping unit for this dataset is approximately 1 acre. Landcover classes are drawn from NatureServe's Ecological System concept. Five-hundred and fourty-four land cover classes composed of 12 cultural and 532 Natural/Semi-natural types are described. Land cover classes were mapped with a variety of techniques including decision tree classifiers, terrian modeling, inductive...
Tags: drecp, vegetation
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DRECP species distribution model output for Little San Bernardino Mtns. Linanthus (Linanthus maculatus ).Patrick McIntyre and Kara Moore of UC Davis generated predictions of rare plant habitat occupancy from Maxent models using an approach designed to maximize model ability to identify new occurrences in the field. A three-stage approach was used to build, assess, and finalize distribution models for focal taxa. First, the team built preliminary models at 270 m for each species. Second, field surveys were conducted based on preliminary model predictions. Third, final models were built based on all occurrences, including field data, and assessed for potential biases and model fit. Models were evaluated for their...
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This data represents a draft “Integrated” alternative from the DRECP Description and Comparative Evaluation of Draft DRECP Alternatives dated December 17, 2012. Each integrated alternative is comprised of three primary elements: Renewable Energy Development areas, Conservation Area Reserve System areas, and Other Lands.The Renewable Energy Development areas include Development Focus Areas (DFAs) in all alternatives and in Alternatives 1, 6, and 7 also include Solar PEIS Variance lands.The Conservation Area Reserve System includes three components: the BLM Land Use Plan Amendment (LUPA) areas, Conservation Planning Areas, and Existing Conservation. The BLM LUPA areas are comprised of Desert Conservation Lands...
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This data represents a draft “Integrated” alternative from the DRECP Description and Comparative Evaluation of Draft DRECP Alternatives dated December 17, 2012. Each integrated alternative is comprised of three primary elements: Renewable Energy Development areas, Conservation Area Reserve System areas, and Other Lands.The Renewable Energy Development areas include Development Focus Areas (DFAs) in all alternatives and in Alternatives 1, 6, and 7 also include Solar PEIS Variance lands.The Conservation Area Reserve System includes three components: the BLM Land Use Plan Amendment (LUPA) areas, Conservation Planning Areas, and Existing Conservation. The BLM LUPA areas are comprised of Desert Conservation Lands...
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Layer description from Appendix A of the DRECP Baseline Biology Report: Soil texture comes from the USDA National Resources Conservation Service (NRCS) Soil Survey Geographic Database (SSURGO). SSURGO Soils Survey - processed for Depth to Any Soil Restrictive Layer, Depth to Water Table, Drainage Class, Ecological Site Name, Hydric Rating, Map Unit Name, Parent Material Name, Soil Taxonomy and Surface Texture.These data were provided by Dudek, for full metadata please contact them directly.
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California Department of Conservation Division of Oil, Gas, and Geothermal Resources data on Known Geothermal Resource Areas (KGRAs).Please contact Mike Howard at mhoward@dudek.com for more information. Original dataset named:Â Kgra_region.Â
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Description and data downloaded from DRECP Website: http://www.drecp.org/meetings/2012-07-25-26_workshop/background/Department_of_Defense_Materials/This information and data is provided in support of the Desert Renewable Energy Conservation Plan. Attachment 1 provides a Department of Defense (DoD) comprehensive matrix detailing potential military operational constraints by Development Focus Area. Attachment 2 provides associated conflict maps by renewable energy technology. Regarding the color coding:·        The red areas represent locations where there is a high likelihood of unacceptable risk to national security, and then technology identified might impact military operations, testing and training.Â...
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This dataset represents current terrestrial intactness values (estimated at the 1km level) within the modeled distribution of the Munz's cholla (Cylindropuntia munzii). Terrestrial intactness is high in areas where development is low, vegetation intactness is high, and fragmentation is low. Consequently, this dataset serves as a general* indication of habitat quality within the distribution of this conservation element. Estimates of current terrestrial intactness were generated by an EEMS fuzzy logic model that integrates multiple measures of landscape development and vegetation intactness, including agriculture development (from LANDFIRE EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious Surfaces),...
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This group layer consists of two datasets which jointly describe Desert bighorn sheep (excluding the Peninsular Bighorn Sheep) habitat within the DRECP study area. Data were provided for upload by Diane Mastalir (California Department of Fish and Wildlife). A summary of each dataset is provided below. Refer to the individual layer descriptions for additional information on each dataset. Desert Bighorn Sheep Mountain Habitat in California This layer is intended to identify historic, current, and potential core habitat for desert bighorn sheep in California. California Desert Bighorn Sheep Intermountain Habitat:Â This layer represents intermountain, lower slope, valley bottom habitat used by desert bighorn...
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These data are statistical model outputs for Mojave tarplant (Deinandra mohavensis ) species distribution, completed by CBI. Predictions of habitat occupancy were generated from Maxent models for the DRECP. This species distribution model was produced at 270 m resolution for two limited extents within the DRECP region separately, north and south. The northern Mojave tarplant distribution model extent was defined as the union of 10km buffer of occurrences and the USDA ecoregion subsections with containing occurrences, with the addition of Kern Plateau, Tehachapi-Piute Mountains, and portions of Lower Batholith. The northern model used with 23 detection points obtained March 2013 from CNDDB (California Department...
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CBI's species distribution model for Gila woodpecker (Melanerpes uropygialis) is based on expert knowledge of suitable habitat and species occurances in the DRECP study site. For the Imperial Valley population, the Gila woodpecker model includes 'Southwestern North American riparian evergreen and deciduous woodland' vegetation and areas with sparse to 40% tree canopy cover. For the eastern Gila woodpecker population, the model includes 'Riparian', 'Southwestern North American riparian evergreen and deciduous woodland', 'Southwestern North American introduced riparian scrub', 'Southwestern North American riparian evergreen and deciduous woodland', and 'Sonoran-Coloradan semi-desert wash woodland/scrub', excluding...
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Utility scale renewable energy development projects are currently proposed across the deserts of the Southwestern United States. Agencies that manage biological resources must understand the potential impacts of these projects and infrastructure (e.g., transmission corridors, substations, access roads, etc.) in order to select appropriate development sites and to mitigate for anticipated effects. Of major concern is determining how future development will impact wildlife movement and genetic exchange among core protected areas and whether increased fragmentation will impact species' abilities to adapt to changing environmental conditions. The adaptive and evolutionary potential of a species is ultimately dependent...
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1) USGS: Mineral Resources Data System (MRDS): This dataset was created for use in terrestrial intactness models by extracting out portions of the MRDS mines dataset within the DRECP 12km Boundary. Summary This digest of the complex mineral resources database is intended for use as reference material supporting mineral resource and environmental assessments on local to regional scale worldwide. Description Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of...
Tags: drecp, mine, mines
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This dataset represents current terrestrial intactness values (estimated at the 1km level) within the distribution of North American Warm Desert Bedrock Cliff and Outcrop. Terrestrial intactness is high in areas where development is low, vegetation intactness is high, and fragmentation is low. Consequently, this dataset serves as a general* indication of habitat quality within the distribution of this conservation element. Estimates of current terrestrial intactness were generated by an EEMS fuzzy logic model that integrates multiple measures of landscape development and vegetation intactness, including agriculture development (from LANDFIRE EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious...
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This dataset represents current terrestrial intactness values (estimated at the 1km level) within the distribution of Lower Bajada and Fan Mojavean - Sonoran Desert Scrub. Terrestrial intactness is high in areas where development is low, vegetation intactness is high, and fragmentation is low. Consequently, this dataset serves as a general* indication of habitat quality within the distribution of this conservation element. Estimates of current terrestrial intactness were generated by an EEMS fuzzy logic model that integrates multiple measures of landscape development and vegetation intactness, including agriculture development (from LANDFIRE EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious...
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This dataset represents current terrestrial intactness values (estimated at the 1km level) within the distribution of Intermontane Seral Shrubland. Terrestrial intactness is high in areas where development is low, vegetation intactness is high, and fragmentation is low. Consequently, this dataset serves as a general* indication of habitat quality within the distribution of this conservation element. Estimates of current terrestrial intactness were generated by an EEMS fuzzy logic model that integrates multiple measures of landscape development and vegetation intactness, including agriculture development (from LANDFIRE EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious Surfaces), linear development...
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This dataset represents current terrestrial intactness values (estimated at the 1km level) within the modeled distribution of the Flat-tailed horned lizard (Phrynosoma mcallii). Terrestrial intactness is high in areas where development is low, vegetation intactness is high, and fragmentation is low. Consequently, this dataset serves as a general* indication of habitat quality within the distribution of this conservation element. Estimates of current terrestrial intactness were generated by an EEMS fuzzy logic model that integrates multiple measures of landscape development and vegetation intactness, including agriculture development (from LANDFIRE EVT v1.1), urban development (from LANDFIRE EVT v1.1 and NLCD Impervious...


map background search result map search result map DoD Confict Areas for Wind Turbines Under Training Routes (CEERT), DRECP Alternative 3 (DECEMBER 2012 VERSION) - Development Focus Areas (DFAs), DRECP Alternative 2 (DECEMBER 2012 VERSION) - Development Focus Areas (DFAs), DRECP North American Warm Desert Bedrock Cliff and Outcrop - Habitat Intactness, DRECP Lower Bajada and Fan Mojavean - Sonoran Desert Scrub - Habitat Intactness, DRECP Intermontane Seral Shrubland - Habitat Intactness, DRECP Known Geothermal Resource Areas, DRECP Gila Woodpecker - Species Distribution Model, DRECP Parish's phacelia - Habitat Intactness, DRECP Flat-tailed horned lizard - Habitat Intactness, DRECP Munz's cholla - Habitat Intactness, DRECP Desert Bighorn Sheep - Intermountain & Unfiltered Core Habitat, DRECP Barstow woolly sunflower - Species Distribution Model, DRECP Mojave Tarplant - Species Distribution Model, DRECP Little San Bernardino Mtns. Linanthus - Species Distribution Model, DRECP Swainson's hawk - Species Distribution Model, DRECP Soil Texture, DRECP Homalonychus selenopoides - Genetic divergence landscape, in the Mojave and Sonoran Deserts NatureServe Vegetation, DRECP DRECP Mines (MRDS & AMLU's Topographically Occurring Mine Symbols (TOMS)) Munz's cholla - Habitat Intactness, DRECP Flat-tailed horned lizard - Habitat Intactness, DRECP Gila Woodpecker - Species Distribution Model, DRECP Parish's phacelia - Habitat Intactness, DRECP DoD Confict Areas for Wind Turbines Under Training Routes (CEERT), DRECP Intermontane Seral Shrubland - Habitat Intactness, DRECP North American Warm Desert Bedrock Cliff and Outcrop - Habitat Intactness, DRECP Lower Bajada and Fan Mojavean - Sonoran Desert Scrub - Habitat Intactness, DRECP Soil Texture, DRECP Alternative 3 (DECEMBER 2012 VERSION) - Development Focus Areas (DFAs), DRECP Alternative 2 (DECEMBER 2012 VERSION) - Development Focus Areas (DFAs), DRECP Swainson's hawk - Species Distribution Model, DRECP DRECP Mines (MRDS & AMLU's Topographically Occurring Mine Symbols (TOMS)) Desert Bighorn Sheep - Intermountain & Unfiltered Core Habitat, DRECP Homalonychus selenopoides - Genetic divergence landscape, in the Mojave and Sonoran Deserts NatureServe Vegetation, DRECP Barstow woolly sunflower - Species Distribution Model, DRECP Mojave Tarplant - Species Distribution Model, DRECP Little San Bernardino Mtns. Linanthus - Species Distribution Model, DRECP Known Geothermal Resource Areas, DRECP