Filters: Tags: desert ecosystems (X)
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The dataset supports a larger study that examined the impacts of three tackifiers (guar, psyllium, and polyacrylamide) on growth of two dryland mosses (Bryum argenteum and Syntrichia ruralis). Moss fragments were grown in petri dishes and subjected to individual tackifiers in one of three possible concentrations (0.5x, 1x, or 2x) of the respective manufacturer's recommended application rate. Distilled water was used as a control treatment, giving a total of ten treatments (nine tackifier-concentration combinations and a water control). Bryum fragments were watered four times daily for six weeks and Syntrichia fragments were watered twice daily for five weeks, after which the experiments were concluded. Shoot length,...
To determine if invasive annual grasses increased around energy developments after the construction phase, we calculated an invasives index using Landsat TM and ETM+ imagery for a 34-year time period (1985-2018) and assessed trends for 1,755 wind turbines (from the U.S. Wind Turbine Database) installed between 1988 and 2013 in the southern California desert. The index uses the maximum normalized difference vegetation index (NDVI) for early season greenness (January-June), and mean NDVI (July-October) for the later dry season. We estimated the relative cover of invasive annuals each year at turbine locations and control sites and tested for changes before and after each turbine was installed. These data were used...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: California,
California South,
Google Earth Engine,
Landsat,
Normalized Difference Vegetation Index,
Understanding the physiological impacts of climate change on arid lands species is a critical step towards ensuring the resilience and persistence of such species under changing temperature and moisture regimes. Varying degrees of vulnerability among different species will largely determine their future distributions in the face of climate change. Studies have indicated that Northern Mexico and the Southwestern United States are likely to become climate change hotspots, experiencing significantly drier and warmer average conditions by the end of the 21st century. However, relatively few studies have examined specifically the physiological effects of climate change on species inhabiting this region. This manuscript...
Categories: Data,
Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2014,
AZ-01,
AZ-02,
AZ-03,
AZ-04,
The dataset supports a larger study that examined the impacts of three tackifiers (guar, psyllium, and polyacrylamide) on growth of two dryland mosses (Bryum argenteum and Syntrichia ruralis). Moss fragments were grown in petri dishes and subjected to individual tackifiers in one of three possible concentrations (0.5x, 1x, or 2x) of the respective manufacturer's recommended application rate. Distilled water was used as a control treatment, giving a total of ten treatments (nine tackifier-concentration combinations and a water control). Bryum fragments were watered four times daily for six weeks and Syntrichia fragments were watered twice daily for five weeks, after which the experiments were concluded. Shoot length,...
Categories: Data;
Tags: Bryum argenteum,
Great Basin,
Intermountain West,
Oregon,
Syntrichia ruralis,
These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33). Objective(s) of our study were to, 1) develop a machine learning (ML) algorithm trained to classify vegetation land cover using remote sensing spectral data and phenology metrics from 2013-2020, over a large subregion of the Sonoran and Mojave Deserts BCR, 2) Calibrate, validate, and refine the final ML-derived vegetation map using a collection of openly sourced remote sensing and ground-based ancillary data, images, and limited fieldwork, and 3) Harmonize a new transboundary classification system by expanding existing land cover mapping resources from the United...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
Baja California,
Botany,
California,
Ecology,
We assessed the impacts of co-occurring invasive plant species on fire regimes and postfire native communities in the Mojave Desert, western USA by analyzing the distribution and co-occurrence patterns of three invasive annual grasses known to alter fuel conditions and community structure: Red Brome (Bromus rubens), Cheatgrass (Bromus tectorum), and Mediterranean grass (Schismus spp.: Schismus arabicus and Schismus barbatus), and an invasive forb, red stemmed filaree (Erodium cicutarium) which can dominate postfire sites. We developed species distribution models (SDMs) for each of the four taxa and analyzed field plot data to assess the relationship between invasives and fire frequency, years postfire, and the impacts...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Mojave desert,
USGS Science Data Catalog (SDC),
biota,
co-occurance invasives,
desert ecosystems,
These data show the multilocus genotypes, gender, and midline carapace length (MCL) for desert tortoises (Gopherus agassizii) sampled in the central portion of the Mojave desert tortoise range. This data supports the following publication: Dutcher, K.E., Vandergast, A.G., Esque, T.C., Mitelberg, A., Matocq, M.D., Heaton, J.S. and Nussear, K.E., Genes in space: what Mojave Desert tortoise genetics can tell us about landscape connectivity. Conservation Genetics, pp.1-15.
These data are classified maps of water in the Colorado River at a discharge of approximately 227 meters squared/second in Grand Canyon from Glen Canyon Dam to Pearce Ferry in Arizona. The data are derived from interpretation of multispectral high resolution airborne imagery that was acquired in May 2013. The water classification data have the same 0.2-meter ground resolution as the imagery. These data have not undergone a statistical accuracy assessment, but they are based on methods that included image interpretation to exhaustively identify water which have been shown to produce very high classification accuracies and excellent correlation between maps of total vegetation produced by independent analysts and...
Mass adjustment ratios used for Great Basin mosses Bryum argenteum and Syntrichia ruralis, 2017-2018
The dataset supports a larger study that examined the impacts of three tackifiers (guar, psyllium, and polyacrylamide) on growth of two dryland mosses (Bryum argenteum and Syntrichia ruralis). Moss fragments were grown in petri dishes and subjected to individual tackifiers in one of three possible concentrations (0.5x, 1x, or 2x) of the respective manufacturer's recommended application rate. Distilled water was used as a control treatment, giving a total of ten treatments (nine tackifier-concentration combinations and a water control). Bryum fragments were watered four times daily for six weeks and Syntrichia fragments were watered twice daily for five weeks, after which the experiments were concluded. Shoot length,...
Categories: Data;
Tags: Bryum argenteum,
Great Basin,
Intermountain West,
Oregon,
Syntrichia ruralis,
This product consists of multiple tabular datasets and associated metadata for clinical status, gene transcripts, and lab results related to presence of Mycoplasma spp. in desert reptiles. To better understand immune responses to pathogenic infections, we conducted an experiment to quantify innate and induced immune responses using gene transcript profiles and measured induced antibody levels for Mycoplasma spp. in Mojave Desert tortoises (Gopherus agassizii). Data consists of: - Clinical Status Data - Clinical status of presence or absence of nasal discharge, eroded nares, or labored respiration in 15 captive tortoises classified as naive, exposed, or infected. - Gene Transcript Data - Gene transcription values...
The Permian Basin, straddling New Mexico and Texas, is one of the most productive oil and gas (OG) provinces in the United States. OG production yields large volumes of wastewater that contain elevated concentrations of major ions including salts (also referred to as brines), and trace organic and inorganic constituents. These OG wastewaters pose unknown environmental health risks, particularly in the case of accidental or intentional releases. Releases of OG wastewaters have resulted in water-quality and environmental health effects at sites in West Virginia (Akob, et al., 2016, Orem et al. 2017, Kassotis et al. 2016) and in the Williston Basin region in Montana and North Dakota (Cozzarelli et al. 2017, Cozzarelli...
This raster dataset represents spatially explicit predictions of burn severity (dNBRPredict.tif) in the Mojave Desert based on models developed from data on the difference normalized burn ratio (dNBR) within perimeters of fires greater than 405 hectares that burned between 1984 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Grass-fire cycle,
Mojave Desert,
Mojave Desert,
Predictive models,
Random forests,
This U.S. Geological Survey data release consists of 3 raster datasets representing estimates of probability of ignition (ProbIgnitPredict.tif), fire frequency (FrequencyPredictRF.tif), and burn severity (dNBRPredictRF.tif) in the Mojave Desert from 1984 to 2010. The data include: (1) A shapefile of the Mojave Desert that was used as our study area boundary (MojaveEcoregion_TNS_UTM83.shp). The original shapefile was obtained from NatureServe in 2009; (2) Three Tagged-Interchange Format (TIF) raster datasets representing probability of ignition, fire frequency, and burn severity. Resolution equals 30 meters, projection equals UTM Zone 11N. These data support the following publication: Klinger, R., Underwood, E.C.,...
This raster dataset represents spatially explicit predictions of probability of ignition in the Mojave Desert based on models developed from data on perimeters of fires greater than 405 hectares that burned between 1972 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Grass-fire cycle,
Maxent,
Mojave Desert,
Mojave Desert,
Predictive models,
Geotiff raster of habitat suitability for the invasive annual forb Erodium cicutarium (red-stemmed filaree) across the Mojave Desert (NatureServe ecoregional boundary). Raster resolution = 30 m, projection = UTM Zone 11N
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Biological invasions,
Bromus rubens,
Bromus tectorum,
Co-occurrence,
Erodium cicutarium,
Limited data exist on the affect of downy brome invasion on biogeochemical cycling. Biogeochemical cycling was quantified in a winterfat community in northeastern, CA that was separated into three invasion classes: noninvaded (NI), invaded for 3 yr (I3), and 10 yr (I10) by downy brome. On each plot, all aboveground vegetation was harvested and separated by species, dried, weighed, and tissue nutrients quantified. In addition, soil samples were collected from 0- to 30-, 30- to 60-, and 60- to 100-cm depths and various nutrient pools quantified. Aboveground biomass g/m2 was significantly greater, with downy brome averaging over 90% of the plant mass on the I10 plots (280 g) compared to the NI plots (148 g). In comparison...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Invasive Plant Science and Management,
cheatgrass,
desert ecosystems,
invasive plants,
nutrient cycling,
The U.S. Army Fort Irwin National Training Center (NTC), approximately 35 mi north-northeast of Barstow, California, covers approximately 1,177 square miles, and is comprised of ten groundwater basins, three of which have been subdivided into subbasins on the basis of additional hydrologic testing. Since the early 1990s, the U.S. Geological Survey (USGS) has been studying water resources issues at Fort Irwin. One issue of concern is the potential effect of groundwater development resulting from planned training expansion and infrastructure at the NTC on natural springs and seeps, an important water source for wildlife. In 2010, the USGS entered into cooperative agreements with the U.S. Army to complete studies of...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bicycle Lake,
CAWSC,
California,
California Water Science Center,
Electrical Resistivity Tomography,
This data release presents baseline datasets of phreatophytic groundwater-dependent ecosystem (GDE) locations in Oregon and trends in physical and environmental factors potentially influencing proximal groundwater supplies. The data release consists of three child items. The child items are: (1) Select Phreatophytic Shrub and Grass Species of Oregon, the Estimated Distribution of Phreatophytic Shrubland and Grassland Across Oregon, and Field Observations used to Constrain Mapped Species Distributions (tabular and raster datasets), (2) Historical Trends in Shallow and Deep Groundwater Levels by Well and 8-Digit Hydrologic Units (HUC8) (1990-2019, 2005-2019, and 2015-2019), GridMET Precipitation and Air Temperature...
The U.S. Army Fort Irwin National Training Center (NTC), approximately 35 mi north-northeast of Barstow, California, covers approximately 1,177 square miles, and is comprised of ten groundwater basins, three of which have been subdivided into subbasins on the basis of additional hydrologic testing. Since the early 1990s, the U.S. Geological Survey (USGS) has been studying water resources issues at Fort Irwin. One issue of concern is the potential effect of groundwater development resulting from planned training expansion and infrastructure at the NTC on natural springs and seeps, an important water source for wildlife. In 2010, the USGS entered into cooperative agreements with the U.S. Army to complete studies of...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Bicycle Lake,
CAWSC,
California,
California Water Science Center,
Electrical Resistivity Tomography,
Water levels were measured during March 2014 in wells in the Antelope Valley and Fremont Valley groundwater basins, southwestern Mojave Desert, California, in cooperation with the Antelope Valley-East Kern Water District, Palmdale Water District, and Littlerock Creek Irrigation District. These data document recent conditions and, when compared with previous data, changes in groundwater levels. A regional water-table map was constructed using data from about 200 wells.
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