Skip to main content
Advanced Search

Filters: Tags: Mojave (X)

202 results (35ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
The RCMAP (Rangeland Condition Monitoring Assessment and Projection) dataset quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2021. The RCMAP product suite consists of nine fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. First, we have trained time-series predictions directly from 331 high-resolution sites collected from 2013-2018 from Assessment, Inventory, and Monitoring (AIM) instead of using the 2016 “base” map as an intermediary....
Tags: AZ, Arizona, Arizona Plateau, Black Hills, Blue Mountains, All tags...
thumbnail
As part of a research study in cooperation with the U.S. Environmental Protection Agency (EPA) and the U.S. Army at Fort Irwin National Training Center, the U.S. Geological Survey (USGS) evaluated unsaturated zone soil property data of cores from a borehole for a newly drilled monitoring well near a dry well and Four-plex baseball field. Cores were continuous from land surface down to 240 feet below land surface and were drilled by consultants to EPA using sonic rotary–a fluidless drilling technique. Data on this page consist of: 1) field drilling notes from USGS and consultants to EPA (GeoSystems Analysis, Inc., Tucson, Arizona); 2) field descriptions of core lithology–including grain size, sorting, color, mineralogy,...
thumbnail
As part of a larger groundwater research study conducted at the U.S. Army Fort Irwin National Training Center (NTC), located approximately 35 miles north-northeast of Barstow, California, the U.S. Environmental Protection Agency (EPA), the U.S. Army, and the U.S. Geological Survey (USGS) have cooperated to evaluate unsaturated zone soil property data of cores from the borehole for a newly drilled monitoring well (ESW2B). Specific horizons of interest were identified and selected for detailed grain-size distribution analysis using the Fritsch Analysette A28 Image Sizer (particle analyzer) located at the USGS California Water Science Center (CAWSC) in San Diego, CA. The particle analyzer identified circularity and...
thumbnail
These datasets were developed to represent the geographic distribution of Plantago ovata in the Mojave Desert. This data release consists of two raster spatial layers (GeoTIFF) reflecting predicted habitat for the species within the Mojave Desert and the standard error in predictions. The habitat layer (raster dataset) is a continuous probability distribution of suitable habitat where values range from 0 (very low probability of species occurrence) to 1 (very high probability of species occurrence). An additional raster dataset provides the standard error in habitat predictions calculated among alternative habitat models: users should evaluate both the habitat and standard error datasets and exercise prudence when...
thumbnail
Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
thumbnail
Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
thumbnail
Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
thumbnail
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a regional conductivity model near the Mountain Pass mine. This work is in support of characterizing mineral deposits.
thumbnail
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a regional conductivity model near the Mountain Pass mine. This work is in support of characterizing mineral deposits.
thumbnail
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a regional conductivity model near the Mountain Pass mine. This work is in support of characterizing mineral deposits.
thumbnail
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a regional conductivity model near the Mountain Pass mine. This work is in support of characterizing mineral deposits.
thumbnail
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a regional conductivity model near the Mountain Pass mine. This work is in support of characterizing mineral deposits.
thumbnail
This map shows the current and near-term status of aquatic ecosystems, in addition to the input datasets used for the analysis and distribution modeling that were involved in producing these status datasets. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of...
These datasets were developed to represent the genetic diversity, population structure, and geographic distribution of Plantago ovata in the Mojave Desert. This data release consists of two tab-delimited text files representing the genetic diversity and structure of Plantago ovata (.genepop and .vcf), and two raster spatial datasets (GeoTIFF) reflecting predicted habitat for the species within the Mojave Desert. The genetic datasets record genetic variation at an individual level, with the file structures varying based on the programs within which the files are intended to be edited. Each file contains 13,111 SNPs genotyped in 748 individuals. The genepop file can be viewed in GENEPOP software (Rousset 2008) or...
thumbnail
Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
thumbnail
Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...


map background search result map search result map USGS 1:24000-scale Quadrangle for Mojave, CA 1973 USGS 1:62500-scale Quadrangle for Mojave, CA 1943 USGS 1:62500-scale Quadrangle for Mojave, CA 1956 USGS 1:125000-scale Quadrangle for Mojave, CA 1915 station mp111 station mp205 station mp313 station mp333 station mp346 BLM REA MBR 2010 Terrestrial Ecosystems Status - Sonora Mojave Mixed Salt Desert Scrub Field characteristics and photos of core materials from a monitoring well site near a dry well and Four-plex baseball field, Fort Irwin National Training Center, San Bernardino County, California, 2019-2020 Particle-size distributions of core samples collected from the borehole for monitoring well ESW2B at Fort Irwin National Training Center, San Bernardino County, California Genetic and Habitat Data for Plantago ovata in the Mojave Desert Habitat Data for Plantago ovata in the Mojave Desert Species Distribution Model (SDM) for Ambrosia dumosa in the Mojave Desert Species Distribution Model (SDM) for Hilaria rigida in the Mojave Desert Species Distribution Model (SDM) for Muhlenbergia porteri in the Mojave Desert Species Distribution Model (SDM) for Oenothera deltoides in the Mojave Desert Species Distribution Model (SDM) for Stephanomeria parryi in the Mojave Desert Rangeland Condition Monitoring Assessment and Projection (RCMAP) Non Sagebrush Shrub Fractional Component Time-Series Across the Western U.S. 1985-2021 Particle-size distributions of core samples collected from the borehole for monitoring well ESW2B at Fort Irwin National Training Center, San Bernardino County, California Field characteristics and photos of core materials from a monitoring well site near a dry well and Four-plex baseball field, Fort Irwin National Training Center, San Bernardino County, California, 2019-2020 USGS 1:24000-scale Quadrangle for Mojave, CA 1973 USGS 1:62500-scale Quadrangle for Mojave, CA 1943 USGS 1:62500-scale Quadrangle for Mojave, CA 1956 USGS 1:125000-scale Quadrangle for Mojave, CA 1915 Genetic and Habitat Data for Plantago ovata in the Mojave Desert Habitat Data for Plantago ovata in the Mojave Desert Species Distribution Model (SDM) for Ambrosia dumosa in the Mojave Desert Species Distribution Model (SDM) for Hilaria rigida in the Mojave Desert Species Distribution Model (SDM) for Muhlenbergia porteri in the Mojave Desert Species Distribution Model (SDM) for Oenothera deltoides in the Mojave Desert Species Distribution Model (SDM) for Stephanomeria parryi in the Mojave Desert BLM REA MBR 2010 Terrestrial Ecosystems Status - Sonora Mojave Mixed Salt Desert Scrub Rangeland Condition Monitoring Assessment and Projection (RCMAP) Non Sagebrush Shrub Fractional Component Time-Series Across the Western U.S. 1985-2021