Filters: partyWithName: U.S. Geological Survey (X) > Types: Downloadable (X)
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The whooping crane (Grus americana) is a listed, endangered species in North America, protected under federal legislation in the United States and Canada. The only self-sustaining and wild population of Whooping Cranes nests at and near Wood Buffalo National Park near the provincial border of Northwest Territories and Alberta, Canada. Birds from this population migrate through the Great Plains of North America and spend a nonbreeding period along the Gulf Coast of Texas at Aransas National Wildlife Refuge and surrounding lands. These data represent predictions from a resource selection function using GPS locations between 2010 and 2016 during migration. This surface is a composite of drought and non-drought conditions...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Kansas,
Migratory birds,
Montana,
Nebraska,
North Dakota,
These shapefiles represent the spatial distribution of mean annual groundwater recharge, in inches, for Kauaʻi, Oʻahu, Molokaʻi, Maui, and the Island of Hawaiʻi for a set of water-budget scenarios that characterize unique combinations of drought and land-cover conditions. Two water-budget scenarios were developed to quantify the effects of severe drought and future climate conditions on groundwater recharge for each island as follows: (1) rainfall conditions representative of the driest conditions during 1920–2012 and 2020 land cover, and (2) rainfall conditions representative of the driest conditions during a future dry-climate condition and 2020 land cover. Each drought condition was combined with two hypothetical...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Hydrology,
Land Use Change,
USGS Science Data Catalog (SDC),
Water Resources
The whooping crane is a listed endangered species in North America, protected under federal legislation in the United States and Canada. The only self-sustaining and wild population of Whooping Cranes nests at and near Wood Buffalo National Park near the provincial border of Northwest Territories and Alberta, Canada. Birds from this population migrate through the Great Plains of North America and winter along the Gulf Coast of Texas at Aransas National Wildlife Refuge and surrounding lands. These data represent predictions from a resource selection function using GPS locations between 2010 and 2016 during migration. This surface represents predictions under drought conditions across the study area. Pixel values...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Kansas,
Migratory birds,
Montana,
Nebraska,
North Dakota,
The whooping crane (Grus americana) is a listed, endangered species in North America, protected under federal legislation in the United States and Canada. The only self-sustaining and wild population of Whooping Cranes nests at and near Wood Buffalo National Park near the provincial border of Northwest Territories and Alberta, Canada. Birds from this population migrate through the Great Plains of North America and spend a nonbreeding period along the Gulf Coast of Texas at Aransas National Wildlife Refuge and surrounding lands. These data represent predictions from a resource selection function using GPS locations between 2010 and 2016 during migration. This surface is a composite of drought and non-drought conditions...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Kansas,
Migratory birds,
Montana,
Nebraska,
North Dakota,
The agro-hydrologic VegET (VegetationEvapotranspiration) model uses a water balance approach to simulate daily soil moisture (SM), actual evapotranspiration (ETa), and runoff (R). We enhanced the model to include snow accumulation and melt processes along with the separation of runoff into surface runoff and deep drainage and implemented the code using cloud technology. This publication is providing the supporting data for the updated methods and provides evaluation results for the United States and the Greater Horn of Africa.
Categories: Data;
Types: Downloadable;
Tags: CONUS,
Evapotranspiration,
Greater Horn of Africa,
Hydrology,
Land Use Change,
Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage production, minimizing these effects provides a clearer climate signal in the productivity data. The use of an ecosystem performance approach for assessment of seasonal and interannual climate impacts on forage production in semi-arid grasslands proved to be a successful method in a case study covering the Nebraska Sandhills. In this study we developed a time series (2000-2018) of the Expected Ecosystem Performance (EEP), which serves as a proxy for annual forage production after accounting for non-climatic influences, while minimizing...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Land Use Change,
NDVI,
USGS Science Data Catalog (SDC),
United States,
biomass,
This dataset, VegDischarge v1, represents a significant contribution to the understanding of hydrological dynamics across Africa from 2000 to 2021. It encompasses high-resolution (1km x 1km) monthly raster data of deep drainage, surface runoff, and total runoff, derived from the VegET (VegetationEvapoTranspiration) hydrological model (Senay et al., 2023). Additionally, routed discharge data (Mizukami et al., 2021) for over 63,000 river segments is provided, employing different routing algorithms (DW, KW, KWT, MC, and IRF) to demonstrate variability in river discharge patterns. This comprehensive dataset is stored in NetCDF and Shapefile formats, offering valuable insights for policymakers, stakeholders, and researchers...
Categories: Data;
Types: Data,
Downloadable,
Map Service,
NetCDF OPeNDAP Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: Africa,
Hydrology,
Land Use Change,
Remote Sensing,
USGS Science Data Catalog (SDC),
Data presented are results of surveys and monitoring for San Diego Cactus Wren (Campylorhynchus brunneicapillus) in southern San Diego County. These data were collected to assess Cactus Wren population status to determine the relationships between specific elements of habitat quality and Cactus Wren presence. Surveys were conducted periodically at 507 plots throughout San Diego County. Birds that had been banded in prior years with unique color combinations were identified to individual on subsequent visits to provide data on survival and movement between years. These data support the following publication: Lynn, S., and Kus, B.E., 2023, Distribution and demography of coastal Cactus Wrens (Campylorhynchus brunneicapillus)...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
San Diego,
animal and plant census,
biota,
birds,
Data presented are results of surveys and monitoring for San Diego Cactus Wren (Campylorhynchus brunneicapillus) in southern San Diego County. These data were collected to assess Cactus Wren population status to determine the relationships between specific elements of habitat quality and Cactus Wren presence. Surveys were conducted periodically at 507 plots throughout San Diego County. Birds that had been banded in prior years with unique color combinations were identified to individual on subsequent visits to provide data on survival and movement and between years.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
San Diego,
animal and plant census,
biota,
birds,
The U.S. Geological Survey, in cooperation with the Grand River Dam Authority, computed a 2009 capacity and area table of Grand Lake O’ the Cherokees. The capacity and area table defines the relation between the elevation of the water surface and the volume and area of water that is impounded. The capacity and area of Grand Lake O’ the Cherokees were computed from a Triangular Irregular Network (TIN) surface created in Esri ArcGIS 10.5.1, a geographic information system (GIS). The TIN surface was created from three datasets: (1) a 2009 Oklahoma Water Resources Board (OWRB) bathymetric survey of Grand Lake (OWRB, 2009, 2016), (2) a 2017 USGS bathymetric survey of the Neosho, Spring, and Elk Rivers (Hunter and others,...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Grand Lake O' the Cherokees,
Oklahoma,
USGS Science Data Catalog (SDC),
Water Resources,
bathymetry,
Greater sage-grouse (Centrocercus urophasianus) are at the center of state and national land use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. These data represent an updated population trend analysis and Targeted Annual Warning System (TAWS) for state and federal land and wildlife managers to use best available science to help guide current management and conservation plans aimed at benefitting sage-grouse populations range-wide. This analysis relied on previously published population trend modeling methodology from Coates and others (2021, 2022) and includes population lek count data from 1960-2023. Bayesian state-space models estimated...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Colorado,
Idaho,
Montana,
Nevada,
This document provides a summary of surface water-quality, streamflow, and groundwater data collected by the U.S. Geological Survey (USGS) within the Central Pine Barrens (CPB) Region of Suffolk County, New York. The data were collected in cooperation with the Central Pine Barrens Commission and the Town of Brookhaven under a five-year comprehensive water resources monitoring program. The surface water-quality data within the CPB for the 2018 water year (October 1, 2017 to September 30, 2018) includes data from the Carmans River and the Peconic River. The streams were sampled several times throughout the year at seven pre-determined locations. The Carmans River was sampled at five locations: 1) CARMANS RIVER AT...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Carmans River,
Central Pine Barrens,
Long Island,
New York,
Peconic River,
These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance....
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Climate Change,
Drought, Fire and Extreme Weather,
Environmental Suitability Models,
Fire,
LANDFIRE,
These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance....
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Climate Change,
Drought, Fire and Extreme Weather,
Environmental Suitability Models,
Fire,
LANDFIRE,
These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance....
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Climate Change,
Drought, Fire and Extreme Weather,
Environmental Suitability Models,
Fire,
LANDFIRE,
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