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These data were compiled for a study that investigated the effects of drought seasonality and plant community composition in a dryland ecosystem. In 2015 U.S. Geological Survey ecologists recorded vegetation and soil moisture data in 36 experimental plots which manipulated precipitation in two plant community types. The experiment consisted of three precipitation treatments: control (ambient precipitation), cool-season drought (-66% ambient precipitation November-April), and warm-season drought (-66% ambient precipitation May-October), applied in two plant communities (perennial grasses with or without a large shrub, Ephedra viridis) over a three-year period. These data were collected from 2015 to 2022 near Canyonlands...
Categories: Data;
Tags: Achnatherum hymenoides,
Botany,
C3 photosynthesis,
C4 photosynthesis,
Canyonlands National Park,
The Ohio-Kentucky-Indiana Water Science Center looks forward to helping you achieve your goals by providing water quantity and quality information, as well as scientific tools and understanding, when and where they are needed by citizens, businesses, and public officials.
These data are the primary data used to model rainbow trout growth in Glen Canyon. Fish growth data were collected from nighttime boat electrofishing field campaigns conducted five to six times per year in April, July, September, and January, from April 2012 through November 2021 for a total of 9798 observations of mark-recapture-based growth. Sampling was conducted in a five km reach in the lower portion of the Glen Canyon tailwater (3.7-8.9 km upstream of Lees Ferry, AZ). Two nights of sampling occurred on each trip, with the central 2-3 km of the reach sampled on both nights. After capture, fish were kept in aerated 40-L buckets and transported to a central processing location. Groups of 10-15 fish were anesthetized...
The South Central U.S. is one of the main agricultural regions in North America: annual agricultural production is valued at more than $44 billion dollars. However, as climate conditions change, the region is experiencing more frequent and severe droughts, with significant impacts on agriculture and broader consequences for land management. For example, in 2011 drought caused an estimated $7.6 billion in agricultural losses in Texas and an additional $1.6 billion in Oklahoma. Although there are many drought monitoring tools available, most of these tools were developed without input from the stakeholders, such as farmers and ranchers, who are intended to use them. The goal of this project is to assess the information...
Categories: Data;
Types: Citation;
Tags: Data Visualization & Tools,
Drought,
Drought, Fire and Extreme Weather,
Science Tools For Managers,
South Central CASC,
This metadata record describes a series of datasets containing metrics used to characterize drought for four sets of United States Geological Survey (USGS) streamgages in the conterminous United States (CONUS) for three different time periods between 1921 and 2020 outlined below. The streamgages used are a subset based on the criteria used in Geospatial Attributes of Gages for Evaluating Streamflow, version II (GAGESII, Falcone, 2011). Time periods use climate years, April 1 through March 31. These metrics include streamflow percentiles, identified drought events, annual low streamflow drought statistics, and various attributes for each of those events. These data are arranged here by study group with the following...
Note: this data release is currently being revised and is temporarily unavailable The U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand for water need by delivering routine assessments of water supply and demand and an understanding of the natural and human factors affecting the balance between supply and demand. A key part of these national assessments is identifying long-term trends in water availability, including groundwater and surface water quantity, quality, and use. This data release contains Mann-Kendall monotonic trend analyses for 18 observed annual and monthly...
Categories: Data,
Data Release - Under Revision;
Tags: Hydrology,
United States,
Water Resources,
droughts,
floods,
This metadata record describes model outputs and supporting model code for the Data-Driven Drought Prediction project of the Water Resources Mission Area Drought Program. The data listed here include outputs of multiple machine learning model types for predicting hydrological drought at select locations within the conterminous United States. The child items referenced below correspond to different models and spatial extents (Colorado River Basin region or conterminous United States). See the list below or metadata files in each sub-folder for more details. Daily streamflow percentile predictions for the Colorado River Basin region — Outputs from long short-term memory (LSTM) deep learning models corresponding to...
Most of these data were collected in order to create a database of tree locations for use in calibrating remote sensing tools and products, particularly dead tree detection tools and canopy species maps. Data include tree locations, species identification, and status (live, dead, and, if dead, sometimes includes information on foliage and twig retention). They are a collection of different sampling efforts performed over several years, starting in a period of severe drought mortality. One csv table is included that shows data and validation results for an additional dataset that was used to test the NAIP derived dead tree detection model that is associated with this data release. Locations are not included for that...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Forestry,
Kings Canyon National Park,
Sequoia National Park,
Sierra Nevada,
This dataset contains annual flow metrics quantifying drought and low streamflows for USGS GAGES-2 gages in the contiguous U.S. satisfying data completeness checks for the periods 1921-2020, 1951-2020, and 1981-2020. The dataset also contains annual climate variables from the USGS Monthly Water Balance Model (MWBM). The dataset provides trend analysis outputs for annual drought and low flow metrics for the periods 1921-2020, 1951-2020, and 1981-2020. Finally, we include six R language code files that were used to create the values included in this release as summarized in the process step section.
Categories: Data;
Tags: NCCWSC,
USGS Science Data Catalog (SDC),
USGS:618460d9d34ec04fc9c00082,
United States,
biota,
Streamflow and stream temperature in the Donner und Blitzen River Basin for water years 1980 through 2021 were simulated using the Precipitation-Runoff Modeling System (PRMS) with the "stream_temp" module. The model domain was discretized into 175 stream segments and calibrated to observed streamflow and stream temperature at points distributed throughout the basin. Model input files, including a PRMS control file, parameter file, and meteorological forcing files, are included in the Blitzen_PRMS_input.zip file. Select output variables for each hydrologic response unit (HRU), each stream segment, and PRMS basin summary outputs are included in the Blitzen_PRMS_output.zip file. Shapefiles of the model domain, model...
These data are daily climate, water balance, and soil moisture data for 270 plots in the National Park Service (NPS) Southern Colorado Plateau Network (SCPN) Inventory & Monitoring (I&M) network. Climate data was collected from a gridded, daily climate dataset, Daymet (https://daymet.ornl.gov/). Climate, alongside field-collected soils (SoilDepthsByPlot.csv) and vegetation information, were then used to drive a point based, daily, multi soil-layer, ecosystem water-balance model, SOILWAT2 (https://github.com/DrylandEcology/SOILWAT2). SCPN plots were established to capture the range of ecosystem conditions present in this network. Plant communities of the SCPN are a vital sign for this region, enhancing habitat, stabilizing...
Categories: Data;
Tags: Arizona,
Aztec Ruins National Monument,
Bandelier National Monument,
Chaco Culture National Monument,
Colorado,
This metadata record describes outputs from 12 configurations of long short-term memory (LSTM) models which were used to predict streamflow drought occurrence at 384 stream gage locations in the Colorado River Basin region. The models were trained on data from 01-Oct-1981 to 31-Mar-2005 and validated over the period of record spanning 01-Apr-2005 to 31-Mar- 2014. The models use explanatory variable inputs described in Wieczorek (2023) (doi.org/10.5066/P98IG8LO) to predict daily streamflow and streamflow percentiles as described in Simeone (2022) (doi.org/10.5066/P92FAASD). Separate models were trained to predict daily streamflow and streamflow percentiles. Two types of percentiles were modeled: (1) fixed-threshold...
Categories: Data;
Tags: Colorado River Basin,
climatologyMeteorologyAtmosphere,
deep learning,
drought prediction,
droughts,
These data were compiled to measure airborne horizontal mass flux of sediments moved by wind across soils, climates, vegetation types, and land uses on the Colorado Plateau. Objectives of our study were to quantify spatial and temporal patterns in wind erosion and further our understanding of how soil and site setting, climate, and land uses are controlling wind erosion and horizontal mass flux. These data represent seasonal cumulative horizontal mass flux as measured using passive aspirated sediment traps, Big Spring Number Eight (BSNE) samplers. These data were collected in Grand and San Juan counties, Utah, and Mesa County, Colorado, USA between August 2017 and November 2020. These data were collected by the...
These data represent tree diameter, species, mortality status, and plot attributes from 164 plots in Sequoia and Kings Canyon national parks, California. Plots were matched with local records of recent fire history to determine burn status and year burned if applicable. These data support the following publication: van Mantgem, P.J., Caprio, A.C., Stephenson, N.L. and Das, A.J., 2021. Forest Resistance to Extended Drought Enhanced by Prescribed Fire in Low Elevation Forests of the Sierra Nevada. Forests, 12(9), p.1248.
Categories: Data;
Tags: California,
Forestry,
Tulare,
USGS Science Data Catalog (SDC),
Upper Kaweah,
Amphibians are among the most sensitive taxa to climate change, and species inhabiting arid and semiarid landscapes at the extremes of their range are especially vulnerable to periods of drought. The Jack Creek, Oregon, USA population of Oregon spotted frogs (Rana pretiosa) faces unique challenges occupying the highest elevation site in the species’ extant range and one that has been hydrologically transformed by loss of American beaver (Castor canadensis). We evaluated the effect of drought mitigation (addition of excavated ponds) on relationships between local water availability, legacy beaver dams, and R. pretiosa population dynamics in the Jack Creek system. We conducted capture-mark-recapture sampling at a...
This data release documents time-series analyses of aqueous-chemistry data from public-supply wells (PSWs) and associated potential explanatory factors to characterize responses of groundwater quality to drought and recovery periods in California’s San Joaquin Valley (SJV) during 2000-2022. Annual median nitrate values were computed for PSWs throughout the SJV during the period of study. Median annual nitrate values were calculated at all PSWs with available data in the SJV, resulting in a total of 698 PSWs with complete annual records after single-year linear gap imputation. A total of 237 of these records were classified as “low variance” because they contained proportions of identical values exceeding 80 percent...
These data were compiled to identify potential contributions of drought and inundation tolerance to vegetation composition along the Colorado River. Objective(s) of our study were to quantify physiological and growth responses of different plant species to drought and inundation. These data represent measurements taken on container plants in a greenhouse, and hydrological niche values based on field monitoring data that are published elsewhere. These data were collected in summer of 2022 at the Northern Arizona University Research Greenhouse Complex. These data were collected by Northern Arizona University and U.S. Geological Survey scientists in a greenhouse and laboratory setting. These data can be used to assess...
Reliable information concerning where water is used, how water is used, the quantity of water used, and changes in water use over time is key in making informed water-resources management decisions. Although projections of water-use estimates are subject to a variety of contingencies, ranging from natural disasters such as droughts and floods to economic booms or disruptions, they provide a basis for planners to evaluate the adequacy of water resources to meet future needs. During 2007, the State of Tennessee experienced a drought that limited water supply to several of the utility systems. As a result, the U.S. Geological Survey (USGS), in cooperation with the Tennessee Department of Environment and Conservation,...
This U.S Geological Survey data release contains soil moisture, actual evapotranspiration, precipitation, and potential evapotranspiration by watershed for the United States from 1980 to 2020. Hourly values from NASA's North American Land Data Assimilation System Phase 2 (NLDAS-2) Noah model were aggregated to daily values and extracted by Geospatial Attributes of Gages for Evaluating Streamflow, version II (GAGES-II) watershed. The daily aggregated values include average soil moisture at four depths, 0 to 10 centimeters (SoilM_0_10cm), 10 to 40 centimeters (SoilM_10_40cm), 40 to 100 centimeters (SoilM_40_100cm), and 100 to 200 centimeters (SoilM_100_200cm); and total actual evapotranspiration (Evap), precipitation...
Categories: Data;
Tags: Hydrology,
Soil Sciences,
USGS Science Data Catalog (SDC),
United States,
climatologyMeteorologyAtmosphere,
These snag (dead tree) fall data were collected as part of long term forest dynamics data. Tree fall data were collected non-systematically as text comments until 2013, after which explicit snag fall data were collected on an annual basis. This particular dataset includes data from 23 plots in old-growth mixed conifer and montane conifer forests in Sequoia-Kings Canyon and Yosemite National Parks. The plots range in size from 0.9 ha to 2.5 ha and were established from 1982 to 2001. We used demography plot data through 2021 (collected before the extensive KNP Complex wildfire burned many of the plots). Before 2021, four of the 23 plots had experienced relatively recent prescribed burns or wildfires. When established,...
Categories: Data;
Tags: California,
Forestry,
Sequoia National Park,
Sierra Nevada,
USGS Science Data Catalog (SDC),
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