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Determining which species, habitats, or ecosystems are most vulnerable to climate change enables resource managers to better set priorities for conservation action. To address the need for information on vulnerability, this research project aimed to leverage the expertise of university partners to inform the North Central Climate Science Center on how to best assess the vulnerability of elements of biodiversity to climate and land use change in order to inform the development and implementation of management options. Outcomes from this activity were expected to include 1) a framework for modeling vegetation type and species response to climate and land use change, 2) an evaluation of existing alternative vegetation...
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The U.S. Geological Survey (USGS) installed acoustic bedload monitoring systems at four sites along the Trinity River below Lewiston Dam to record the noise generated by mobilized bed material, known as sediment generated noise (SGN) (Geay and others, 2017). The four sites are: Trinity River at Lewiston (TRAL, 11525500), Trinity River above Grass Valley Creek (TRGVC, 11525630), Trinity River at Limekiln Gulch (TRLG, 11525655) and Trinity River at Douglas City (TRDC, 11525854). These sites were selected because bedload measurements are frequently made at these locations during restoration flows as part of monitoring done by the Trinity River Restoration Program (TRRP). Monitoring took place in the spring of 2015,...
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A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels through time for the available years described in the metadata for the Mississippi River Valley alluvial aquifer (MRVA). The MRVA is the surficial aquifer of the Mississippi Alluvial Plain (MAP), located in the south-central United States. Employing two machine-learning techniques offered the opportunity to generate model and statistical error and covariance between them to estimate total uncertainty. Potentiometric surface predictions were made at the 1-kilometer grid scale using the National Hydrogeologic Grid (Clark and others, 2018). For a full description...
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This release of geochemical data for the northern Mojave Desert is for 330 volcanic rocks sampled over 43 years, with an emphasis on basaltic rocks. It supports a field trip road log in the 2024 Geological Society of America Field Trip Guidebook for the Annual Meeting to be held in Anaheim, CA.
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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...
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The data within this data release presents information used to characterize the groundwater-flow system and the development of a groundwater-flow model in the active model area. Conceptual and numerical models of groundwater flow were developed by the U.S. Geological Survey Washington Water Science Center, in close cooperation with 18 water-resource agencies and stakeholders, to assess the potential hydrologic and anthropogenic impacts to groundwater and the connected surface-water resources.
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This data release contains the model inputs, outputs, and source code (written in R) for a redeveloped PRObability of Streamflow PERmanence (PROSPER) model (version 2.0) that had previously been developed for the Pacific Northwest Region (PROSPER_PNW_2), and a raster data set which shows where influential predictor values were outside the range of calibration data. The PROSPER-PNW model, a random forest model, was redeveloped in the Ranger R package using all the original model inputs consistent with PROSPER_PNW_2 to produce annual streamflow permanence probabilities for calendar years 2004-2016 at a 30-meter stream grid resolution that approximately corresponds to flowlines consistent with the National Hydrography...
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This data release is tree-ring data near Columbine Lake and surrounding region, Grand County, Colorado (Latitude 40.27Ëš N, Longitude -105.83Ëš E NAD83). Re-collection of four existing tree-ring sites (Hot Sulphur Springs Psuedotsuga menziessii (HSU), Lexan Creek Picea engelmannii (LCU), Monarch Lake Pinus ponderosa (MLU), and Vasquez Mountain Psuedotsuga menziessii (VMU)) was conducted to update data to the most recent years possible and to maximize data overlap with instrumental records and with historical records of fire occurrence. At the time of collection, initial climate-growth relationships were assessed in a network of previously collected tree-ring sites (collected between 1987 and 2003) to determine which...
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This data release contains California Department of Water Resources borehole data that were regularized by the US Geological Survey. The dataset contains borehole lithologic data, and geospatial data of water wells in the Hat Creek basin California, located east of Mount Shasta in northern California. The borehole dataset is released as an excel table and a shapefile and includes (1) individual borehole location, and (2) downhole lithologic interval data derived from well drillers’ lithology logs. The geospatial data consists of a point feature class that is a 2-dimensional representation of the locations of Hat Creek basin well logs.
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This data release consists of 1,984 line-kilometers of airborne electromagnetic (AEM), magnetic data and radiometric data collected from October to November 2017 in the upper East River and surrounding watersheds in central Colorado. The U.S. Geological Survey contracted Geotech Ltd. to acquire these data as part of regional investigations into the geologic structure and hydrologic framework of the area. The AEM data have been inverted to produce a series of regional cross-sections that constrain the electrical properties of the subsurface to a depth of ~500m. Data were acquired using the VTEM ET time-domain helicopter-borne electromagnetic system along flight lines that cross important geological structures over...
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Multiple subaerial landslides adjacent to Prince William Sound, Alaska (for example, Dai and others, 2020; Higman and others, 2023; Schaefer and others, 2024) pose a threat to the public because of their potential to generate ocean waves (Dai and others, 2020; Barnhart and others, 2021; Barnhart and others, 2022) that could impact towns and marine activities. One bedrock landslide on the west side of Barry Arm fjord drew international attention in 2020 because of its large size (~500 M m3) and tsunamigenic potential (Dai and others, 2020). As part of the U.S. Geological Survey response to the detection of the potentially tsunamigenic landslide at Barry Arm, as well as a broader effort to evaluate bedrock landslide...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alaska, Barry Arm, Barry Arm, Blackstone Bay, Cochrane Bay, All tags...
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Species are adapted to particular environmental conditions, but are threatened as climate change shifts habitat conditions. One way species can respond is by moving to new suitable locations, known as climate-driven range shifts. But some species can move more easily and/or more quickly than others, and some landscapes are more difficult to cross. In the upper Midwest, the movement potential of many species is reduced by broad expanses of row-crop agriculture, roads and other types of development that fragment the remaining habitat. It is important to sustain and improve connectivity across landscapes so they can continue to support biodiversity and ecosystem services like water filtration, carbon storage, pollinator...
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This data release (DR) is the update of the U.S. Geological Survey - ScienceBase data release Bera (2023), with the processed data for the period October 1, 2021, through September 30, 2022. This data release describes the watershed data management (WDM) database SC22.WDM. The precipitation data are collected from a tipping-bucket rain-gage network and the hydrologic data (stage and discharge) are collected at USGS streamflow-gaging stations in and around Salt Creek watershed in DuPage County, Illinois, as described in Bera (2014). Hourly precipitation and hydrologic data for the period October 1, 2021, through September 30, 2022, are processed following the guidelines described in Bera (2014) and Murphy and Ishii...
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Monroe County, in southeastern West Virginia, hosts world-class karst within carbonate units of Mississippian and Ordovician age. There are at least 412 known caves in the county. Location data for these caves were collected from the West Virginia Speleological Survey (WVASS) Bulletin 22 (Dasher, 2019). Point features were created in ArcGIS Pro for each cave location and were used to make a point density raster. This raster displays the number of cave points per square kilometer.
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The watershed data management (WDM) database SC16.WDM is updated with the processed data for the period October 1, 2016, through September 30, 2017, and renamed as SC17.WDM. The precipitation data are collected from a tipping-bucket rain-gage network and the hydrologic data (stage and discharge) are collected at USGS streamflow-gaging stations in and around DuPage County, Illinois. Hourly precipitation and hydrologic data for the period October 1, 2016, through September 30, 2017, are processed following the guidelines described in Bera (2014) and appended to SC16.WDM and renamed as SC17.WDM. Meteorological data (wind speed, solar radiation, air temperature, dewpoint temperature, and potential evapotranspiration)...
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This data release contains about 60 million point cloud data points collected during 27 scans of a section of the western shoreline of the Shinnecock Peninsula in Suffolk County, New York. Data were collected during July and October of 2022. Data are provided as .las files with points classified as either bare earth (GROUND_SN_BRIC_BL_2022_v03.0 (2).las), vegetation (VEGETATION_SN_BRIC_BL_2022_v03.0.las) or unclassified (DEFAULT_SN_BRIC_BL_2022_v03.0.las). Users are encouraged to read the metadata and Noll and others (2024) to understand how the data were collected, registered, and classified.
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Ongoing and future climate change throughout Alaska has the potential to affect terrestrial ecosystems and the services that they provide to the people of Alaska and the nation. These services include the gathering of food and fiber by Alaskan communities, the importance of ecosystems to recreation, cultural, and spiritual activities of people in Alaska, and the way that land cover and vegetation in ecosystems affect temperature and water flow (runoff, flooding etc.) throughout the state. Assessments of the effects of climate change on these “ecosystem services” have been hindered by a lack of tools (e.g. computer models) capable of forecasting future landscapes in a changing climate while taking into account numerous...
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This dataset represents 763 tributary canyons and/or watersheds adjacent to the Colorado River in Grand Canyon with associated debris flow probabilities from 2004. Also, these data include tributary canyon and/or watersheds to Glen Canyon and several smaller watersheds in Grand Canyon where debris flow data is currently unavailable. Historic probabilities of debris flow occurrence were estimated by modeling the known frequency distribution with drainage basin parameters observed to control the process by which debris flows initiate and travel to the river. Observations from 1984 through 2003 provide a 20-year record of all debris flows that reached the Colorado River in Grand Canyon, and repeat photography provides...
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In January 2018, a U.S. Geological Survey (USGS) team collected short cores and surface samples from four islands in Florida Bay, Everglades National Park, south Florida (Wingard et al. 2019). The 2018 samples were collected approximately five months after the passage of Hurricane Irma on September 10, 2017, as a category 4 storm. The four islands had also been cored in 2014. The goal of the long-term study of these four islands is to examine the impacts of climate and sea level on island formation and resilience, and to provide insights into the stability of the south Florida coastline. The passage of Hurricane Irma provided an opportunity to sample sediments deposited by the storm surge. The particle size analysis...
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This dataset consists of annual raster maps of ecosystem carbon stocks, land use and land cover classes, and transition probabilities for the State of California during historical (1985-2020) and projected future (2021-2100) time periods. Data are simulation model output from the The Land Use and Carbon Simulator (LUCAS; Sleeter et al. 2022) run under different climate and land management scenarios. LUCAS model simulations were conducted on an annual timestep at 1-km spatial resolution with 40 Monte Carlo realizations per simulation. For the projected future time period, the model was run under all combinations of four climate scenarios, two urbanization scenarios, and two vegetation management scenarios. The climate...
map background search result map search result map Development of the Alaska Integrated Ecosystem Model to Illustrate Future Landscape Change Assessing the Vulnerability of Vegetation to Future Climate in the North Central U.S. Watershed Data Management (WDM) Database (SC17.WDM) for Salt Creek Streamflow Simulation, DuPage County, Illinois, January 1, 1997, through September 30, 2017 (ver. 1.1, September 2024) Airborne electromagnetic, magnetic, and radiometric survey, upper East River and surrounding watersheds near Crested Butte, Colorado, 2017 Data release of hydrogeologic data of the Hat Creek basin, Shasta County, California Density raster of caves in Monroe County, West Virginia Rock mass quality and structural geology observations in northwest Prince William Sound, Alaska from the summer of 2021 Spatial Data in Support of the Characterization of Water Resources near the Southeastern Part of Puget Sound, Washington Prioritizing Sites for Habitat Restoration to Enhance Connectivity in the Upper Midwest Three-Dimensional Point Cloud Data Collected with a Scanning Total Station on the Western Shoreline of the Shinnecock Nation Tribal Lands, Suffolk County, New York, 2022 Sediment generated noise and bedload data from the Trinity River, California, 2015-2019. Updated Probability of Streamflow Permanence (PROSPER) Model Output Layers for the Pacific Northwest region, 2004 - 2016 Statistical predictions of groundwater levels and related spatial diagnostics for the Mississippi River Valley alluvial aquifer from the mmlMRVAgen1 statistical machine-learning software Watershed Data Management (WDM) Database (SC22.WDM) for Salt Creek Streamflow Simulation, DuPage County, Illinois, January 1, 1997, through September 30, 2022 Geomorphic attributes of campsites adjacent to the Colorado River in Grand Canyon, AZ Debris flow probabilities of ungaged tributaries to the Colorado River in Grand Canyon, AZ Climate-Growth Analysis for Updated and Existing Tree-ring Network near Columbine Lake, Grand County, Colorado Geochemical data for volcanic rocks of the northern Mojave Desert Historical and projected future land change and ecosystem carbon stocks for California Particle size distribution data from Florida Bay, Everglades National Park, Florida - 2024 analyses of samples collected following Hurricane Irma (2017) Three-Dimensional Point Cloud Data Collected with a Scanning Total Station on the Western Shoreline of the Shinnecock Nation Tribal Lands, Suffolk County, New York, 2022 Sediment generated noise and bedload data from the Trinity River, California, 2015-2019. Particle size distribution data from Florida Bay, Everglades National Park, Florida - 2024 analyses of samples collected following Hurricane Irma (2017) Density raster of caves in Monroe County, West Virginia Spatial Data in Support of the Characterization of Water Resources near the Southeastern Part of Puget Sound, Washington Rock mass quality and structural geology observations in northwest Prince William Sound, Alaska from the summer of 2021 Climate-Growth Analysis for Updated and Existing Tree-ring Network near Columbine Lake, Grand County, Colorado Geomorphic attributes of campsites adjacent to the Colorado River in Grand Canyon, AZ Debris flow probabilities of ungaged tributaries to the Colorado River in Grand Canyon, AZ Geochemical data for volcanic rocks of the northern Mojave Desert Statistical predictions of groundwater levels and related spatial diagnostics for the Mississippi River Valley alluvial aquifer from the mmlMRVAgen1 statistical machine-learning software Prioritizing Sites for Habitat Restoration to Enhance Connectivity in the Upper Midwest Historical and projected future land change and ecosystem carbon stocks for California Updated Probability of Streamflow Permanence (PROSPER) Model Output Layers for the Pacific Northwest region, 2004 - 2016 Assessing the Vulnerability of Vegetation to Future Climate in the North Central U.S. Development of the Alaska Integrated Ecosystem Model to Illustrate Future Landscape Change