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The Climate Adaptation Science Centers (CASCs) partner with natural and cultural resource managers, tribes and indigenous communities, and university researchers to provide science that helps fish, wildlife, ecosystems, and the communities they support adapt to climate change. The CASCs provide managers and stakeholders with information and decision-making tools to respond to the effects of climate change. While each CASC works to address specific research priorities within their respective region, CASCs also collaborate across boundaries to address issues within shared ecosystems, watersheds, and landscapes. These shapefiles represent the 9 CASC regions and the national CASC that comprise the CASC network, highlighting...
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The Bank Stability and Toe Erosion Model (BSTEM) version 3.3.1 (Ursic and Langendoen, 2021) was used to predict bank retreat at five locations along Caulks Creek, Wildwood, Missouri, for a selection of design storm scenarios. BSTEM is a macro-enabled Excel spreadsheet (.xlsm file) that simulates the retreat of a bank profile due to a combination of fluvial and geotechnical processes. These BSTEM simulations build on hydrologic and hydraulic modeling of Caulks Creek for a wide variety of design storm scenarios that represent both current and future climate conditions (Heimann and others, 2024). The six design storm scenarios selected for BSTEM simulations include storms of 6-hour duration with 2-year (2yr), 10-year...
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This data release consists of multi-band 30-meter x 30-meter pixel rasters of estimated population and domestic self-supplied water withdrawals in Rhode Island between July 2014 and June 2021. Population raster data were generated using a national data product of 2010 population spatially distributed across land cover data and U.S. Census Bureau data of population growth estimates to adjust populations for each year 2014-2021. Estimates for changes in population between winter and summer months are also included to generate seasonal population estimates. The coefficients used to describe these variations in populations for each U.S. Census Bureau block group in Rhode Island are included in this data release. Estimated...
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The geochemical data included here were generated as part of a Technical Assistance Agreement between the U.S. Geological Survey (USGS) and Rio Tinto Exploration based in Salt Lake City, Utah. Beginning in November of 2015, we began a project to reanalyze up to 60,000 archived sample splits originally collected as part of the National Uranium Resource Evaluation (NURE) Hydrogeochemical and Stream Sediment Reconnaissance (HSSR) project from selected areas in Arizona, California, Idaho, Montana, Nevada, New Mexico, and Utah. A small amount (approximately 0.25 g) of sieved <75 micron sample material was retrieved from the USGS National Geochemical Sample Archive for geochemical analysis. These samples were analyzed...
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This dataset represents elevation data of the beach topography and near-shore bathymetry before placing dredge spoils on the beach at Minnesota Point near the Duluth Entry of Lake Superior, Duluth, Minnesota. The data was acquired using a lidar sensor, single-beam and multibeam sonars. The dataset includes DEMs of the terrestrial beach areas and topobathy (combined terrestrial and bathymetry), LAS and XYZ files of lidar, single-beam, and multibeam point data, and 2-ft contours. Data were collected in cooperation with the U.S. Army Corps of Engineers (USACE), Detroit District, to evaluate movement of placed material and overall change of near-shore bathymetry after beach nourishment. First release: 2022 Revised:...
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We created a single map of surface water presence by intersecting water classes from available land cover products (National Wetland Inventory, Gap Analysis Program, National Land Cover Database, and Dynamic Surface Water Extent) across the U.S. state of Arizona. We derived classified samples for four wetland classes from the harmonized map: water, herbaceous wetlands, wooded wetlands, and non-wetland cover. In Google Earth Engine (GEE) we developed a random forest model that combined the training data with spatially explicit predictor variables of vegetation greenness indices, wetness indices, seasonal index variation, topographic variables, and hydrologic parameters. The final product is a wall-to-wall map of...
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The sagebrush ecosystem spans over 175 million acres in the western United States, and is biologically, culturally, and economically significant to the country. Many disturbances including prolonged drought, pinyon-juniper encroachment, and cycles of invasive grasses and wildfire, pose significant threats to the resilience of the sagebrush biome. To conserve the sagebrush biome and promote community and economic sustainability, the Department of the Interior’s bureaus and offices are working together with many public and private partners to implement a “defend and grow the core” approach to conserve remaining intact sagebrush habitat and ecosystem functions, as well as restore other habitat types which are important...
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This data set includes estimates of aquatic chlorophyll a concentration and reservoir temperature for Blue Mesa Reservoir, CO. A Random Forest modeling approach was trained to model near-surface aquatic chlorophyll a using near-coincident Sentinel-2 satellite imagery and water samples analyzed for chlorophyll a concentration. The trained chlorophyll a model was applied to Sentinel-2 imagery to produce maps of modeled chlorophyll a concentrations at 10 m spatial resolution for May through October for 2016 through 2023. Chlorophyll a concentrations for three sections (basins) of Blue Mesa Reservoir were extracted from the raster data to produce time-series of modeled chlorophyll a concentration summary statistics...
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Broad-area, high-resolution, boat-based water quality mapping surveys of the Sacramento-San Joaquin Delta and Suisun Bay (Delta) of California, USA were conducted under different environmental/flow conditions in May, July, and October of 2022. The spatial and temporal variability of nutrients, phytoplankton, and related water quality parameters were assessed. This dataset includes measurements of nitrate, ammonium, orthophosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, and chlorophyll as well as information about phytoplankton community composition.
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The U.S. Geological Survey (USGS) Inland Bathymetric and Topobathymetric Survey Inventory, v. 3 includes a survey records inventory and dataset footprints (when available) for inland bathymetric and topobathymetric surveys published by the USGS for the conterminous US, Alaska, and Puerto Rico. Survey records include water feature, state, publication title, data vintage, mission, online linkage to reports and datasets, collection methods, survey and survey product resolution, datums, geoid, and accuracy information if known. This database, identified as the USGS Inland Bathymetric and Topobathymetric Survey Inventory, v.3, Update, has been approved for release by the U.S. Geological Survey (USGS). Although this database...
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As part of the larger Great Lakes Cooperative Science and Monitoring Initiative (CSMI) , the U.S. Geological Survey Mercury Research Laboratory (MRL) completed a binational assessment partnering with the U.S. Environmental Protection Agency (US EPA), Environmental Climate Change Canada (ECCC), Michigan-DNR (MI-DNR), University of Minnesota-Duluth Natural Resources Research Institute (UM-NRRI), and the National Oceanographic and Atmospheric Association (NOAA), to assess contaminant concentrations within seston, mussels, preyfish, waters, and surface sediments within Lake Huron. All matrices were assessed for mercury and methylmercury concentrations to examine spatial trends of mercury within the lakes. Sediments...
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These data pertain to bird point surveys collected from 30 April 2016 to 12 May 2016 and 23 May 2016 to 25 June 2016 at four bottomland hardwood restoration sites in northeastern Indiana. The data are a single monitoring occasion with the purpose of documenting bird communities across these sites. During the time of collection, sites contained areas of hardwood planting ranging in age from 2 to 22 years, mature forest, old fields, and cropland. Each site was surveyed at multiple, fixed bird survey points; each point was visited at least 7 times. Bird point surveys were conducted between sunrise and 11:00 Central Daylight Time, lasted 5 minutes, and aimed to record all bird species seen and heard within 100 meters...
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The U.S. Geological Survey (USGS) and the University of Massachusetts at Amherst (UMass Amherst), in cooperation with the Massachusetts Department of Environmental Protection (MassDEP), began a series of studies in 2019 to develop a web-based statewide hydraulic modeling tool to provide preliminary culvert designs to support stream crossing replacement projects in Massachusetts. This Web Map Service (WMS) has been developed to query data from the hydraulic models at select stream crossing locations using the StreamStats web application for Massachusetts. The WMS contains stream crossing point locations with hydrology and hydraulic data tables and associated watershed polygons. These stream crossing locations were...
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This dataset contains the multi-model means of various climate parameters with uncertainty bounds from the Multivariate Adaptive Constructed Analogs statistically downscaled global climate model dataset for different time slices between 1970 and 2099. The data is provided for both the Representative Concentration Pathway 4.5 W m-2 and 8.5 W m-2 future climate scenarios.
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Species distribution models (SDMs) can be an important tool in rare species conservation. Specifically, SDMs have been used to location previously unknown populations and identify sites for reintroduction or translocation. With these goals in mind, we applied SDM to a recently listed plant species, Pectis imberbis, which is found in the Madrean Archipelago region of southern Arizona, USA, and northern Mexico. We used presence-pseudoabsence data and applied 10 replicates of 5 modeling algorithms, generalized linear model (GLM), generalized additive model (GAM, generalized boosted model (GBM, aka boosted regression trees), random forests (RF), and classification tree analysis (CTA) to 4 different predictor datasets...
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This data release contains 2 shapefiles which include 626 unique shorelines and 3 foredune toes spanning 2016 to 2023 along Minnesota Point, a 9-kilometer long bay-mouth bar at the western end of Lake Superior. Each shoreline represents the intersection line between land and water at a unique time associated with the capture of a satellite image, and these shorelines are used to examine trends in beach width and investigate beach nourishment performance in an accompanying publication (Roland et al., 2024). The shorelines were extracted from 3-meter resolution Planet Labs PlanetScope satellite imagery following the methods of Doherty et al., 2022. A site-specific machine learning model was developed to classify image...
    map background search result map search result map Maps of the USGS Climate Adaptation Science Centers (May 2024) Reanalysis of Selected Archived NURE-HSSR Sediment and Soil Samples from Arizona, California, Idaho, Montana, Nevada, New Mexico, and Utah U.S. Geological Survey Inland Bathymetric and Topobathymetric Survey Inventory, version 3 Update Beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, MN, June 2021 (ver. 2.0, September 2024) Remotely sensed and in-situ chlorophyll a and temperature data from Blue Mesa Reservoir, Colorado Assessing spatial variability of nutrients, phytoplankton, and related water quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2022 High resolution mapping surveys Massachusetts Stream Crossing Project Data Web Map Service Wetlands in the state of Arizona Archive of Bank Stability and Toe Erosion Model (BSTEM) Simulations of Caulks Creek, Wildwood, Missouri Monthly and Annual Population and Self-Supplied Domestic Water Withdrawal Maps of Rhode Island, 2014-2021 Sagebrush Collaborative Restoration Landscapes to Support Management Efforts Improving Fire Resiliency and Restoration in the Sagebrush Biome CAnVAS Mean Climate Parameters with Uncertainty Estimates (1970-1999 and 2010-2099), Derived from Multivariate Adaptive Constructed Analogs (MACAv2-Livneh) statistically downscaled Global Climate Models Bird detections from multi-species point surveys at lowland forest restoration sites, Indiana, United States, April – June 2016, with resampling code Species Distribution Models for Pectis imberbis, a Rare Plant Species in Southeastern Arizona Mercury Concentrations in Seston, Mussels, Water, Sediments, and Preyfish from Lake Huron, 2022 Satellite-derived shorelines and foredune toes along Minnesota Point (Duluth, MN) from 2016 to 2023 Archive of Bank Stability and Toe Erosion Model (BSTEM) Simulations of Caulks Creek, Wildwood, Missouri Beach topography and near-shore bathymetry of Minnesota Point near the Duluth Entry of Lake Superior, Duluth, MN, June 2021 (ver. 2.0, September 2024) Satellite-derived shorelines and foredune toes along Minnesota Point (Duluth, MN) from 2016 to 2023 Remotely sensed and in-situ chlorophyll a and temperature data from Blue Mesa Reservoir, Colorado Assessing spatial variability of nutrients, phytoplankton, and related water quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2022 High resolution mapping surveys Monthly and Annual Population and Self-Supplied Domestic Water Withdrawal Maps of Rhode Island, 2014-2021 Species Distribution Models for Pectis imberbis, a Rare Plant Species in Southeastern Arizona Massachusetts Stream Crossing Project Data Web Map Service Mercury Concentrations in Seston, Mussels, Water, Sediments, and Preyfish from Lake Huron, 2022 Wetlands in the state of Arizona Sagebrush Collaborative Restoration Landscapes to Support Management Efforts Improving Fire Resiliency and Restoration in the Sagebrush Biome Reanalysis of Selected Archived NURE-HSSR Sediment and Soil Samples from Arizona, California, Idaho, Montana, Nevada, New Mexico, and Utah CAnVAS Mean Climate Parameters with Uncertainty Estimates (1970-1999 and 2010-2099), Derived from Multivariate Adaptive Constructed Analogs (MACAv2-Livneh) statistically downscaled Global Climate Models U.S. Geological Survey Inland Bathymetric and Topobathymetric Survey Inventory, version 3 Update Maps of the USGS Climate Adaptation Science Centers (May 2024)