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These data were compiled during a laboratory experiment showing the turbidity response to increasing silt and clay concentration. The sediment used for the laboratory experiment was collected in the Grand Canyon study area, from the bank of the Little Colorado River, approximately 1 kilometer upstream from its confluence with the Colorado River. The sediment was passed through a 63 µm sieve to isolate the silt-and-clay-size fraction. The silt and clay was completely dried in an oven (at 105 degrees Celsius for 12 hours), weighed, mechanically disaggregated, and added in stages to a measured volume of water to calculate concentration. The sediment was kept in suspension with an electric stirrer and turbidity was...
These plant and soil data were collected by Timothy M. Wertin and Sasha C. Reed in the spring, summer, and fall of 2011 at a climate manipulation experiment site near Moab, UT (38.521411, -109.470567). These data were collected to assess how warming affects leaf photosynthesis, soil CO 2 efflux, and soil chemistry in plots of ambient and warming treatments.
These raster data represent the results of a case study in Arizona on how vertebrate richness metrics can be used with existing state and federal guidance in wind and solar energy facility siting. Each of the four geodatabases (see Cross References) contain eight native terrestrial wildlife group models in Arizona: 1) all vertebrates, 2) amphibians, 3) reptiles, 4) birds, 5) mammals, 6) bats, 7) raptors and 8) long-distant migratory birds. An XML workbook is included that lists all terrestrial native vertebrate species in Arizona which cross-walks these species to the name of the National Gap Analysis Project species distribution model.
This ESRI geodatabase consists of 5 feature datsets with 23 individual polygon feature classes and two raster datasets. A master campsite polygon feature class represents the boundaries of campsites identified in the 1973, 1984, and 1991 campsite inventories of the Colorado River corridor in Grand Canyon, Arizona. The other polygon feature classes represent camp locations along the Colorado River corridor in Grand Canyon, Arizona during different survey periods using different surveying techniques. The raster datasets represent sub-aerial and sub-surface sandbar surfaces at 37 long term-monitoring sites between Lees Ferry and Diamond Creek, Arizona in Grand Canyon National Park, measured in September and October...
These data were used to examine drivers behind changes in water temperature downriver of dams across the western U.S. from 1995-2015 and the influence of such changes on rainbow trout recruitment and rainbow and brown trout adult length. First, we linked reservoir storage capacity and dam size to the warmest monthly water temperature per water year (WY) to assess the influence of low storage capacity (shallow reservoirs) on downstream water temperature. We then took results from previously published Generalized Linear Mixed Models (GLMM) that assessed the influence of physical and biological predictors (e.g., flow, trout density, reservoir metrics) on trout recruitment and adult size and added mean annual, maximum...
These data were used to examine the effectiveness of a non-lethal tool (Bioelectrical Impedance Analysis, "BIA") to estimate the physiological condition of endangered and threatened fishes in the Colorado River Basin. We conducted laboratory trials using hatchery-raised Humpback Chub and Bonytail and wild-captured Roundtail Chub, where fish were subjected to different feeding trials to elucidate a response in physiological condition and different temperature treatments to approximate field conditions. At the end of each 6-week trial fish were removed from tanks, lateral and dorsal measurements of BIA were taken, and fish were sacrificed for proximate composition analysis (lipid, protein, water, ash, dry mass, energy...
Types: Citation;
Tags: Arizona,
Bioelectrical Impedance Analysis,
Bonytail,
Colorado River Basin,
Dorsal measurements,
These data are aerial image-derived, classification maps of tamarisk (Tamarisk spp.) in the riparian zone of the Colorado River from Glen Canyon Dam to Separation Canyon, a total river distance of 412 km. The classification maps are published in GIS vector format. Two maps are published: 1) a classification of tamarisk from a 0.2 m resolution multispectral image dataset acquired in May 2009 (Tamarisk Classification 2009), and 2) a classification of tamarisk impacted by the tamarisk beetle (Diorhabda carinulata) from a 0.2 m resolution multispectral image dataset acquired in May 2013 (Beetle Impact Classification 2013). Tamarisk presence in 2009 was classified using the Mahalanobis Distance method with a total of...
These data were compiled to fit an integrated population model of brown trout in the Glen Canyon Reach of the Colorado River and test different hypotheses regarding the driver of brown trout population dynamics. Also, data were compiled as inputs for a model to simulate population dynamics and species interactions among brown trout, rainbow trout and humpback chub in the Colorado River between Glen Canyon Dam and the confluence of the Colorado River and the Little Colorado River.
Individual point estimates of stream density by juvenile salmonid species in two small tributaries to the Salmon River, Lake Ontario, New York were recorded. Enumeration of salmonid species was observed using a backpack electrofisher in order to identify fish species. Stream density estimates were calculated using stream width measurements taken at equally spaced transects. Comparisons of species densities between the two streams were analyzed to infer competition or segregation.
These data were compiled for monitoring riparian vegetation change along the Colorado River. This file contains data recorded at 42 sandbars between Lees Ferry and Diamond Creek, AZ, which are sampled for both geomorphic and vegetation change annually. Field data contained here were collected from 2012 to 2016 in September and October of each year. Plant species cover values in 5441 1m^2 quadrat frames, locations and elevations of those sampling frames, slope and aspect, sample dates, temperature and precipitation data, and flood frequency parameters were either recorded in the field or calculated. Annual and seasonal climate variables were estimated from eight weather stations distributed along the river corridor...
This dataset represents 505 campsites along the Colorado River in Grand Canyon with associated debris flow probabilities calculated for approximately a 100-year period (Griffiths and others, 2004) and geomorphic attributes mapped by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center (GCMRC) (Hadley and others, 2018). The campsite polygons were developed as part of a master campsite database that was a collaborative effort to maintain between the National Park Service in Grand Canyon National Park and the GCMRC. Debris flow probabilities have been added as an attribute from ungauged tributary watersheds published in 2004 (Griffiths and others, 2004). Area...
Categories: Data,
Data Release - Provisional;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
Colorado River,
Geography,
Geomorphology,
Glen Canyon,
This data release is comprised of tidal marsh biomass data and spatial predictions of peak biomass and Julian day of peak biomass using data from the Landsat archive. Aboveground biomass dry weight of mixed-species plots (25x50 cm) at a tidal marsh in Willapa Bay, Washington were used to establish a relationship between biomass and tasseled cap greeness (TCG). The julian day of annual peak greenness and the value of annual peak greenness for 32 years at Bandon National Wildlife Refuge (NWR), Grays Harbor NWR, and Nisqually NWR was calculated by fitting a Gaussian function to the TCG values for a given year. The value of each 30 meter pixel is the Julian day of maximum predicted TCG or the maximum predicted TCG....
These data were compiled to provide gridded estimates of environmental suitability for pinyon-juniper species in western North America. These gridded suitability projections provide estimates of suitability under current climate conditions and future climate conditions and allow for visualization of suitability change across each species’ entire range. These data consist of gridded projected suitability values for three pinyon and six juniper tree species across western North America. Objective(s) of our study were to estimate suitability for these tree species under current and future climate conditions to compare potential for distribution shifts under climate change. These data represent a relationship between...
The Southwest Exotic Plant Mapping Program (SWEMP) is a collaborative effort between the United States Geological Survey and federal, tribal, state, county and non-governmental organization (NGO) partners in the southwest. This project is an ongoing effort to compile and distribute regional data on the occurrence of non-native invasive plants in the southwestern United States. The database represents the known sites (represented by a point location, i.e. site) of non-native invasive plant infestations within Arizona and New Mexico, and adjacent portions of California, Colorado, Nevada and Utah. These data, collected from 1911 to 2006, represent the field observations of various state, federal, tribal and county...
Categories: Data;
Types: Citation;
Tags: Alien plants,
Arizona,
California,
Colorado,
Exotic plants,
These data were compiled to accompany flow modeling work on Kanab Creek near the mouth (USGS gage 09403850). The data include topographic data collected by a remote sensing detection light detection and ranging (LIDAR) system and surveying total station in June 2017, high water marks from six floods from 2011 to 2013, and control points and gage structures. Topographic data include ground topography collected by LIDAR and channel bathymetry collected by total station survey of a 600 meter reach of Kanab Creek, ending at the confluence with the Colorado River in Grand Canyon, Arizona. High water mark data include sets from six floods collected by USGS personnel using total station surveys.
Bathymetric, topographic, and grain-size data were collected in May 2009 along a 33-mi reach of the Colorado River in Grand Canyon National Park, Arizona. The study reach is located from river miles 29 to 62 at the confluence of the Colorado and Little Colorado Rivers. Channel bathymetry was mapped using multibeam and singlebeam echosounders, subaerial topography was mapped using ground-based total-stations, and bed-sediment grain-size data were collected using an underwater digital microscope system. These data were combined to produce digital elevation models, spatially variable estimates of digital elevation model uncertainty, georeferenced grain-size data, and bed-sediment distribution maps.
Types: Citation;
Tags: Arizona,
Colorado River,
Diamond Creek,
Grand Canyon,
Grand Canyon National Park,
These data are a compilation of four mask layers (regions), and enhanced vegetation indices calculated from airborne or satellite imagery. The mask layers were used created to extract satellite EVI data from the four airborne or satellite imagery datasets. The Enhanced Vegetation Index (EVI) is a key Earth science parameter used to assess vegetation, originally developed and calibrated for the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra and Aqua satellites. With the impending decommissioning of the MODIS sensors by the year 2020/2022, alternative platforms will need to be used to estimate EVI. These data were created to compare Landsat 5 (2000–2011), 8 (2013–2016) and the Visible Infrared...
Between the years 2000 and 2016, scientists and technicians from the U.S. Geological Survey (USGS) Columbia Environmental Research Center (CERC) have collected over 400 field-days worth of acoustic Doppler current profiler (ADCP) measurements on the Missouri and Yellowstone Rivers, primarily for the purposes of assessing physical aquatic habitat for the pallid sturgeon. Scientists and technicians collected data using boat-mounted Teledyne Rio Grande ADCPs, which were processed using customized scripting tools and archived in standardized formats. To assess longitudinal variability in depth and velocity distributions along the Missouri River, as well as compare the Missouri River to its unaltered analog, the Yellowstone...
Categories: Data;
Types: Citation;
Tags: Hydrology,
Missouri River,
State of Iowa,
State of Kansas,
State of Missouri,
These data were compiled to evaluate pinyon-juniper regeneration dynamics following stand-replacing wildfire and thinning treatments. Objectives of our study were to investigate vegetation community composition and tree recruitment in post-fire and post-thinning environments. These data represent plant and biological soil crust community composition and climatological records among intact, thinned, and burned pinyon–juniper woodlands. These data were collected in Mesa Verde National Park and Ute Mountain Ute Tribal Park from 6/1/2021 to 6/10/2021 and from 03/1/2022 to 11/30/2022 at two burned and two intact pinyon-juniper ecosystems in Mesa Verde National Park only. These data were collected by the U.S. Geological...
This dataset consists of data collected at Badlands National Park (Interior, SD) that were used in the analysis in support of the article titled "Conserving all the pollinators: Variation in probability of pollen transport among insect taxa," which has been submitted to "Natural Areas Journal." Data collected between May-October, 2010 and 2011, and June-July 2012 included insects found in contact with floral reproductive parts of focal plant species, or plant species within a 1 ha plot surrounding focal plant, and pollen species removed from the collected insects' bodies. Focal plant species included Astragalus barrii (May-June 2010-11), Eriogonum visheri (July-August, 2010-11), Chrysothamnus parryi (September-October...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Badlands National Park,
Ecology,
Great Plains,
Hymenoptera,
Jackson County,
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