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The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) program, through its Long Term Resource Monitoring (LTRM) element, collected aerial imagery of the systemic Upper Mississippi River System (UMRS) during the summer of 2020. A Land Cover/Land Use (LCU) spatial database was developed based on the 2020 aerial imagery, which adds a fourth systemic-wide database to the existing 1989, 2000, and 2010/11 LCU databases. While a crosswalk was used to update the 1989 LCU database (originally developed using a different classification system), the 2000, 2010/11, and 2020 LCU databases share the same classification, making them directly comparable from a classification standpoint. Furthermore, protocols...
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Globally, groundwater dependent ecosystems (GDEs) are increasingly vulnerable to groundwater extraction and land use practices. Groundwater supports these ecosystems by providing inflow, which can maintain water levels, water temperature, and chemistry necessary to sustain the biodiversity that they support. Many aquatic systems receive groundwater as a portion of base flow, and in some systems (e.g., springs, seeps, fens) the connection with groundwater is significant and important to the system’s integrity and persistence. Groundwater management decisions for human use may not consider ecological effects of those actions on GDEs, which rely on groundwater to maintain ecological function. This disconnect between...
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These data represent trapping effort and captures of deer mice at Point Reyes National Seashore, Marin County, California. Deer mice were captured and marked with ear tags to allow identification of individuals. The location of captures can be used in a spatially explicit capture recapture model to estimate density of mice and how mouse density varies by site and habitat type.
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Data presented are results of surveys in 2022 for Southwestern Willow Flycatcher (Empidonax traillii extimus) in San Diego County, California. Surveys were conducted at the 2016-19 nest monitoring locations (Cleveland National Forest, Rey River Ranch, and Vista Irrigation District) and at Lake Henshaw along the Upper San Luis Rey River. Surveys were conducted along multiple sections of the river where permission to access properties could be obtained. Locations were surveyed using a standardized protocol three to four times between 15 May and 31 July. The number, age (adult or juvenile), sex, banding status (color banded or not, and if so, color combination), and breeding status (paired, undetermined, or transient)...
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This dataset provides information on the current status and various other habitat and descriptive attributes of the native coastal vegetation for seven of the main Hawaiian Islands (i.e., does not include Ni`ihau).
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These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33). Objective(s) of our study were to, 1) develop a machine learning (ML) algorithm trained to classify vegetation land cover using remote sensing spectral data and phenology metrics from 2013-2020, over a large subregion of the Sonoran and Mojave Deserts BCR, 2) Calibrate, validate, and refine the final ML-derived vegetation map using a collection of openly sourced remote sensing and ground-based ancillary data, images, and limited fieldwork, and 3) Harmonize a new transboundary classification system by expanding existing land cover mapping resources from the United...
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The U.S. Inland Creel and Angler Survey Catalog (CreelCat) contains data compiled from 14,729 creel and angler surveys conducted by state natural resource management agencies (including Washington DC and Puerto Rico) in inland waters across the United States. Data are contained in eight .csv files which contain information about survey characteristics (Survey_Data.csv), angler effort (AngEffort_Data.csv), catch and harvest (FishDataCompiled.csv), angler demographics (Demographic_Data.csv), angler preferences (AngPrefDataCompiled.csv), taxonomic classifications (Taxa_Data.csv), issues with catch and harvest (Fish_Attribution_Issues.csv), and issues with angler preference (AngPref_Attribution_Issues.csv), as well...
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The grizzly bear distribution boundary represents the estimated geographic extent of occupied range of the Yellowstone grizzly bear population for the period 2008-2022. The distribution boundary was delineated to provide reliable estimations of grizzly bear occupancy throughout time and for use as a monitoring tool in grizzly bear management and conservation.The boundary was delineated by the Interagency Grizzly Bear Study Team (IGBST) using an interpolation method based on grizzly bear VHF telemetry and GPS locations as well as verified observations and signs of grizzly bears inside the Greater Yellowstone Ecosystem during 2008 to 2022.
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The dataset is composed of four tables containing environmental DNA (eDNA) data, fish capture data, and site location information from Round Goby (Neogobius melanostomus) surveys conducted on parts of the Champlain Canal and upper Hudson River, and adjacent areas, in New York during 2022 and 2023. First posted May 5, 2022, ver. 1.0 Revised June 2022, ver. 2.0 Revised August 2022, ver. 3.0 Revised November 2022, ver. 4.0 Revised February 2023, ver. 5.0 Revised May 2023, ver. 6.0 Revised June 2023, ver. 7.0 Revised September 2023, ver. 8.0 Revised October 2023, ver. 9.0 Revised December 2023, ver. 10.0
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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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This layer represents fundamentally suitable and unsuitable habitat for freshwater mussels in the Meramec Basin as modeled by these authors on May 17, 2017 based on spatial data ranging from 1990 to 2014. Identification of habitat characteristics associated with the presence of freshwater mussels is challenging but crucial for the conservation of this declining fauna. Most mussel species are found in multi-species assemblages suggesting that physical factors influence presence similarly across species. In lotic environments, geomorphic and hydraulic characteristics appear to be important factors for predicting mussel presence. We used maximum entropy (MaxEnt) modeling to evaluate hydrogeomorphic variables associated...
This data release contains land cover-derived statistics regarding estuarine vegetated wetland area change within estuary drainage areas along the conterminous U.S. This dataset includes net change in estuarine vegetated wetland area based on National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Assessment Program (C-CAP) 1996 and 2016 land cover data. Net change was assessed between estuarine vegetated wetlands (i.e., estuarine marshes, mangroves, non-mangrove estuarine woody wetlands, and salt pannes, depending on vegetation coverage and type) and the following other landcover classes: 1) water; 2) unconsolidated shore; 3) freshwater woody wetlands; 4) freshwater marsh; 5) upland; and 6) agriculture....
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Invasion of exotic annual grass (EAG), such as cheatgrass (Bromus tectorum), red brome (Bromus rubens), and medusahead (Taeniatherum caput-medusae), could have irreversible degradation impact to arid and semiarid rangeland ecosystems in the western United States. The distribution and abundance of these EAG species are highly influenced by weather variables such as temperature and precipitation. We set out to develop a machine learning modelling approach using a lightGBM algorithm to predict how changes in annual and immediate past precipitation regimes impact the abundance of EAG in the study area. The predictive model primarily utilized edaphic and weather variables and a seed source proxy from previous years to...
This data release includes 2022 data for the Louisiana Outer Coast Restoration Project for North Breton Island. Specifically, this data release includes a detailed habitat map, general habitat map, georeferenced imagery, and a bare-earth digital elevation model (DEM) developed from light detection and ranging data. These habitat maps are developed using the methods and classification scheme from Louisiana Coastal Protection and Restoration Authority’s (CPRA) Barrier Island Comprehensive Monitoring (BICM) program. For more details on BICM habitat classes, see the Entity and Attribute Information section of the metadata. Please consult the accompanying readME.txt file for information and recommendations on the contents...
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The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Black Bayou Hydrologic Restoration (CS-27) project for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...
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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...
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This dataset contains spatial datasets of topographic and bathymetric survey data in addition to data table the shapefile data collected at the 3 focal areas of research included in the Sustainable Rivers Program (SRP) in the Allegheny River that were collected and processed in collaboration with US Army Corps of Engineers (USACE). The dataset is a combination of terrestrial topographic and bathymetry data measured by Trimble R10 Model 2 GNSS survey equipment or a FlowTracker2 Acoustic Doppler Velocimeter (ADV). The FlowTracker2 was used for flow measurements and water depth and spatial location of each flow measurement point were used to calculate river bottom bathymetry at those locations. Additionally, National...
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The spatial data results of USGS surveys for Least Bell's Vireo (Vireo bellii pusillus, LBVI) along the Tijuana River and San Diego River in 2023 to determine abundance and distribution of vireos to facilitate population trend analyses and collect information on dispersal and site fidelity of banded vireos as part of long-term demographic studies at multiple sites.
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Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood-frequency estimates at those streamgages. However, flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations. This dataset contains the supporting tables and updated hydrologic region boundaries used in the 2017 flood-frequency study for Georgia, South Carolina, and North Carolina.


map background search result map search result map Northern Rockies Study Area Hawaiian Islands Coastal Vegetation Survey 2013-2015 Niche model results predicting fundamentally suitable and unsuitable habitat for freshwater mussel concentrations in the Meramec Basin Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data Black Bayou Hydrologic Restoration (CS-27): 2018 land-water classification Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020 Environmental DNA data for Round Goby from the Champlain Canal (ver. 10.0, December 2023) Trends and a Targeted Annual Warning System for Greater Sage-Grouse in the Western United States (ver. 3.0, February 2024) Predicted exotic annual grass abundance in rangelands of the western United States using various precipitation scenarios for 2022 Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in San Diego County, California, 2022 Geospatial Dataset of Topographic and Bathymetric Survey Points collected for US Army Corps of Engineers as part of the Sustainable Rivers Program in the Allegheny River, PA downstream of the Kinzua Dam. Distribution Models Predicting Groundwater Influenced Ecosystems in the Northeastern United States Occupied Range of the Yellowstone Grizzly Bear 2008-2022 UMRR LTRM 2020 LCU Mapping - Mississippi River Pool 11 Wetlands in the state of Arizona Distribution and Breeding Status of Least Bell’s Vireo along the San Diego and Tijuana Rivers in San Diego County, California (2023) Captures and Trapping Effort for Deer Mice (Peromyscus sonoriensis) at Point Reyes National Seashore, California, USA from 2021 to 2022 The U.S. Inland Creel and Angler Survey Catalog (CreelCat): A Database and Interactive Tool for Inland Fisheries Management and Research Geospatial Dataset of Topographic and Bathymetric Survey Points collected for US Army Corps of Engineers as part of the Sustainable Rivers Program in the Allegheny River, PA downstream of the Kinzua Dam. Southwestern Willow Flycatcher (Empidonax traillii extimus) Surveys in San Diego County, California, 2022 Black Bayou Hydrologic Restoration (CS-27): 2018 land-water classification Distribution and Breeding Status of Least Bell’s Vireo along the San Diego and Tijuana Rivers in San Diego County, California (2023) Environmental DNA data for Round Goby from the Champlain Canal (ver. 10.0, December 2023) Niche model results predicting fundamentally suitable and unsuitable habitat for freshwater mussel concentrations in the Meramec Basin Occupied Range of the Yellowstone Grizzly Bear 2008-2022 Hawaiian Islands Coastal Vegetation Survey 2013-2015 Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020 Wetlands in the state of Arizona Northern Rockies Study Area Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017-Data Distribution Models Predicting Groundwater Influenced Ecosystems in the Northeastern United States Trends and a Targeted Annual Warning System for Greater Sage-Grouse in the Western United States (ver. 3.0, February 2024) Predicted exotic annual grass abundance in rangelands of the western United States using various precipitation scenarios for 2022 The U.S. Inland Creel and Angler Survey Catalog (CreelCat): A Database and Interactive Tool for Inland Fisheries Management and Research