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This dataset contains csv files in support of the conclusions published in "Water use demand in Mediterranean California under multiple scenarios of developed and agricultural land use " in the journal PLOS One. We used the USGS's LUCAS model to examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand, including the historical (1992-2011) and projected periods (2012-2062) across 40 Monte Carlo simulations.We examined a range of potential water demand futures sampled from a 20-year record of historical (1992-2012) data to develop a suite of potential future land change scenarios from 2012-2062. These scenario simulations include a 1) business-as-usual...
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Groundwater-quality data collected between 1993 and 2015 were compiled from the U.S. Geological Survey (USGS) National Water Information System (NWIS) database for 722 wells in the San Joaquin Valley (SJV). Groundwater-quality data retrieved included lab analyses of complete major ion data (calcium, magnesium, sodium, potassium, chloride, sulfate, nitrate, alkalinity, bicarbonate, carbonate, silica, and TDS) for 613 samples, and an additional 109 samples with measured values of specific conductance. Most of these wells were sampled as part of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project or the USGS National Water Quality Assessment (NAWQA) Program. In addition...
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This digital dataset consists of monthly climate data from the Basin Characterization Model v8 (BCMv8) for the updated Central Valley Hydrologic Model (CVHM2) for water years 1922 to 2019. The BCMv8 data are available in a separate data release titled "The Basin Characterization Model - A regional water balance software package (BCMv8) data release and model archive for hydrologic California, water years 1896-2020". The data were modified by: (1) extracting the data from the data source for the relevant model domain and times, and (2) rescaling the 270-meter BCMv8 grid to the small watersheds that contribute boundary flow to the CVHM2 model for the hydrologic variables recharge and runoff. The three data pieces...
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Understanding how different crops use water over time is essential for planning and managing water allocation, water rights, and agricultural production. The main objective of this paper is to characterize the spatiotemporal dynamics of crop water use in the Central Valley of California using Landsat-based annual actual evapotranspiration (ETa) from 2008-2018 derived from the Operational Simplified Surface Energy Balance (SSEBop) model. Crop water use for ten crops are characterized at multiple scales. The Mann-Kendall trend analysis revealed a significant increase in area cultivated with almonds and their water use, with an annual rate of change of 16,327 hectares in area and 13,488 ha-m in water use. Conversely,...
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To support an investigation of the effectiveness of a large-scale river restoration project, several types of field data were collected from two gravel-bed reaches of the regulated lower Merced River in California's Central Valley, primarily in the fall of 2016. These data sets were intended to characterize salmon spawning habitat and identify factors influencing spawning site selection. This parent data release includes links to child pages for the following data sets: 1) Bulk samples of streambed sediment used to characterize the subsurface grain size distribution. 2) Pebble counts used to characterize the sediment grain size distribution of the bed surface. 3) Force gage measurements used to parameterize a...
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We produced a time series of maps of habitat structure within wetlands of the Central Valley of California. The structure of open water and tall emergent vegetation, such as Typha spp. and Schoenoplectus spp., is critical for migratory birds. Through field observation and digitization of high resolution imagery we identified the locations of tall emergent vegetation, water, and other land cover. Using a random forest classification, we classified multispectral Landsat 8 imagery 2013-2017. We used images from the fall when most wetlands are flooded and the summer to separate trees and tall emergent vegetation. The final maps show the distribution and extent of tall emergent vegetation within wetlands. Final time...
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Surveys of channel and floodplain topography were used to characterize the morphology of two reaches of the lower Merced River in California's Central Valley and to parameterize a hydraulic model. These data were collected to support research intended to evaluate the extent to which large-scale restoration projects provided improved salmon spawning habitat. A related goal of this study was to improve our understanding of the geomorphic factors influencing spawning site selection by salmon. At the Merced River Ranch field site, river channel and floodplain topography was measured using a combination of real-time kinematic (RTK) GPS for wadable parts of the channel, an echo sounder for deep pools, and photogrammetry...
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This dataset contains .csv and .tif image files in support of the conclusions published in "Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change" in the journal PLOS One. We used the USGS's LUCAS model to examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand, including the historical (1992-2011) and projected periods (2012-2062) across 40 Monte Carlo simulations.We examined a range of potential water demand futures sampled from a 20-year record of historical (1992-2012) data to develop a suite of potential future land change scenarios from 2012-2062. These scenario simulations include...
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Mendenhall and others (1916) published depth-to-water data compiled in 1910 for all known wells in the San Joaquin Valley, California. Data for the 3,429 wells having depth-to-water of greater than zero feet were used to construct an interpolated depth-to-water surface for the entire SJV. This map represents groundwater levels in approximately 1910, prior to extensive development of the groundwater system. A depth-to-water contour map with contour lines of 5, 10, 15, and 25 meters below land surface was then drawn from this raster surface.
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This report documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta in the Sacramento-San Joaquin River Delta of California, USA. The data set includes nitrate, ammonium, phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, turbidity, and chlorophyll. Data-collection were conducted over one day in July 2017 when continuous monitoring stations detected elevated chlorophyll concentration and decreasing nitrate concentrations.
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The data release contains data for the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta in the Sacramento-San Joaquin River Delta of California, USA. The data set includes nitrate, ammonium, phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, turbidity, and chlorophyll. Data-collection cruises were conducted over two days in March 2017 during a high flow event when Sacramento Valley flood waters inundate the Yolo Bypass.
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The dataset documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta and Central Delta, in the Sacramento-San Joaquin River Delta of California, USA. The dataset includes nitrate, ammonium, phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, and chlorophyll as well as information about phytoplankton community composition. Data-collection cruises were conducted under four different environmental/flow conditions in June, July, August, and October of 2020. The data release consists of a xml document, text, csv, and shapefiles documents. Descriptions for each document and file are listed below. 1. METADATA:...
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Technological advancements in Global Positioning System (GPS) telemetry markers allow almost real-time observation of waterfowl movements and habitat selection. Telemetry data on ducks marked with GPS transmitters can be used to evaluate performance of remote sensing data (for example, dynamic open-water maps produced by Point Blue Conservation Science) for classifying habitats that are flooded and available for waterfowl. Translating dynamic open-water maps to waterfowl-relevant habitat maps provides a major improvement for wildlife researchers and managers to assist in their assessments of the areas and habitats used by waterfowl as hydrologic conditions change, both temporally and spatially. Suitable habitat...
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This digital dataset contains three types of information about the land use properties used in the updated Central Valley Hydrologic Model (CVHM2): land use shapefile showing primary land use type for a model cell through time, soil data using the curve number for each region and zone, and farm process parameter values including crop coefficients and rooting depths.
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Land use was quantified within a 4-km radius around 36 apiaries in North Dakota, South Dakota, and Minnesota over two years, 2015-16 and 2016-17. The area (hectares) of Ag (corn, soy, small grains), Grass (pasture, grassland, fallow land, wildflowers, shrub land, and hay land), Wetlands (herbaceous and woody), and Bee crops (alfalfa, canola, sunflower) were quantified around each apiary in each year. Within each apiary, the average change in frames of adult bees among all colonies from June to September was calculated. Additionally, the average September Varroa mite infestation rate, the average adult population size during almond pollination, the count of colonies exhibiting queen events in September, and the count...
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These data describe the location (terrestrial or aquatic) and activity status (active or inactive) of giant gartersnakes (Thamnophis gigas) by individual and location.
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We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory birds. Vegetation maps were created by classifying Landsat imagery from 2007-2011 and 2013-2017. A support vector machine learning classifier was trained using phenology metrics of moist soil seed plants, emergent vegetation, water, and other land cover observed via field surveys and high resolution imagery. Productivity maps of swamp timothy were based on a regression model of seed head weight with Landsat vegetation indices....
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We produced a series of maps of moist soil seed plants within managed wetlands in the Central Valley of California from 2007-2011 & 2013-2017. Moist soil seed plants, such as swamp timothy (Crypsis schoenoides) and watergrass (Echinochloa crusgallim), are a critical food source for migratory waterfowl. Through field observation and digitization of high resolution imagery we identified the locations of moist soil seed plants, tall emergent vegetation, water, and other land cover. Using a Support Vector Machine classification, we classified multispectral Landsat imagery from 2007-2011 and 2013-2017. We used images from May through August to create phenology metrics. The final datasets were used to train and test the...
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This data release documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in Suisun Marsh and Suisun Bay in the San Francisco Estuary of California, USA. The data set includes nitrate, ammonium, phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, turbidity, chlorophyll, blue-green algal pigments, and phytoplankton community structure. Data-collection cruises were conducted under three different environmental/flow conditions between July - September 2018 that coincided with conditions prior to, during, and following the Suisun Marsh Salinity Control Gates Summer Action. The action is part of the Delta Smelt Resiliency...
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The dataset documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the San Francisco South Bay of California, USA. The dataset includes nitrate, temperature, conductivity, dissolved oxygen, and chlorophyll as well as information about phytoplankton community composition. Data-collection cruises were conducted under four different environmental/flow conditions in March, May, June, August, September, and October of 2021. The data release consists of a xml document, text, csv, and shapefiles documents. Descriptions for each document and file are listed below. NOTE: Files marked as preliminary are provisional and are subject to revision. They...


map background search result map search result map Habitat Type and Activity by Giant Gartersnakes Associated with a Restored Marsh in California Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015 Historic Depth-to-Water, San Joaquin Valley, California, 1910 Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change Mediterranean California’s water use future based on scenarios of land use change 1992-2062 - Tabular Data Spatio-temporally decoupled land use influences honey bee health and pollination service delivery dataset Wetland Habitat Structure Maps for the Central Valley of California 2013-2017 Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017 Field measurements for characterizing salmon spawning habitat in two restored reaches of the lower Merced River, California Surveys of channel bed topography from two restored reaches of the lower Merced River, California Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017: Training and Testing Data Crop Water Use in the Central Valley of California using Landsat-derived evapotranspiration Assessing spatial variability of nutrients, phytoplankton and related water-quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2020 High-resolution mapping surveys Assessment of nutrients and water-quality constituents at the Sacramento-San Joaquin River Confluence during a phytoplankton bloom in July 2017 Assessment of nutrients and water-quality constituents in the North Delta during Yolo Bypass flooding events in March 2017 Spatial assessment of nutrients and water-quality constituents in Suisun Marsh with the salinity control gate reoperation experiment; a Delta Smelt Resiliency Strategy experiment 2018 Classification of Waterfowl Habitat, and Quantification of Interannual Space Use and Movement Distance from Primary Roosts to Night Feeding Locations by Waterfowl in California for October - March of 2015 through 2018 Central Valley Hydrologic Model version 2 (CVHM2): Land Use Properties Assessing spatial variability of nutrients, phytoplankton and related water-quality constituents in the California South Bay: 2021 High-resolution mapping surveys Central Valley Hydrologic Model version 2 (CVHM2): Small Watershed Climate Data (Recharge, Runoff) Habitat Type and Activity by Giant Gartersnakes Associated with a Restored Marsh in California Surveys of channel bed topography from two restored reaches of the lower Merced River, California Field measurements for characterizing salmon spawning habitat in two restored reaches of the lower Merced River, California Assessment of nutrients and water-quality constituents in the North Delta during Yolo Bypass flooding events in March 2017 Assessment of nutrients and water-quality constituents at the Sacramento-San Joaquin River Confluence during a phytoplankton bloom in July 2017 Assessing spatial variability of nutrients, phytoplankton and related water-quality constituents in the California South Bay: 2021 High-resolution mapping surveys Spatial assessment of nutrients and water-quality constituents in Suisun Marsh with the salinity control gate reoperation experiment; a Delta Smelt Resiliency Strategy experiment 2018 Assessing spatial variability of nutrients, phytoplankton and related water-quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2020 High-resolution mapping surveys Modern groundwater-quality, depth, and well-construction data for selected wells in the San Joaquin Valley, California, 1993-2015 Historic Depth-to-Water, San Joaquin Valley, California, 1910 Spatio-temporally decoupled land use influences honey bee health and pollination service delivery dataset Classification of Waterfowl Habitat, and Quantification of Interannual Space Use and Movement Distance from Primary Roosts to Night Feeding Locations by Waterfowl in California for October - March of 2015 through 2018 Wetland Habitat Structure Maps for the Central Valley of California 2013-2017 Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017 Wetland Moist Soil Seed Maps for the Central Valley of California 2007-2017: Training and Testing Data Crop Water Use in the Central Valley of California using Landsat-derived evapotranspiration Central Valley Hydrologic Model version 2 (CVHM2): Land Use Properties Central Valley Hydrologic Model version 2 (CVHM2): Small Watershed Climate Data (Recharge, Runoff) Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change Mediterranean California’s water use future based on scenarios of land use change 1992-2062 - Tabular Data