Filters: Tags: biota (X) > partyWithName: U.S. Geological Survey (X) > Types: Downloadable (X)

Filters Contacts (Less) U.S. Geological Survey U.S. Geological Survey - ScienceBase Ecosystems Fort Collins Science Center Michael O'Donnell Sara L Zeigler Cameron L Aldridge Julie A Heinrichs Colin Talbert Brian E Reichert Earth Resources Observation and Science (EROS) Center Woods Hole Coastal and Marine Science Center Peter S Coates Steve Hanser Natasha B Carr Brian G Prochazka David R Edmunds Southwest Region William Matthew Cushing Michael S. O’Donnell Ben Gutierrez Kathryn M Weber Andrew C Strassman Emily J Sturdivant Water Resources Benjamin V Miller Linda Schueck United States Forest Service United States Forest Service, USFS Rebecca J Howard Natural Hazards G. Gray Tappan Lucas Berio Fortini Lucy E Burris John A Hutchinson S M Herrmann Gordon C Reese Suzanne E Cotillon Daniel Manier Melissa L Mathis K J Dalsted Land Resources Metadata Resources Staff / GIS Team Western Ecological Research Center Nicholas M Enwright Tabitha A Graves Barbara E Kus Ecosystems Upper Midwest Environmental Sciences Center Northern Rocky Mountain Science Center More... View Results as: JSON ATOM CSV

Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 7 (Wyoming), Interim wy_lvl7_coarsescale: Wyoming hierarchical cluster level 7 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 2 (Wyoming), Interim wy_lvl2_finescale: Wyoming hierarchical cluster level 2 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags DisMOSH, Cost, MOSHShoreline: Distance to foraging areas for piping plovers (foraging shoreline, cost mask, and least-cost path distance): Edwin B. Forsythe NWR, NJ, 2013–2014 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Charadrius melodus, All tags... Coastal Habitat, Coastal and Marine Geology Program, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, Foraging Ecology, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Piping Plovers, Pullen Island, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, biota, ecology, environment, geography, geomorphology, geospatial analysis, geospatial datasets, Fewer tags Shale gas data used in development of the Disturbance Intensity Index for the Pennsylvania portion of the Upper Susquehanna River basin in Maloney et al. 2018 Data on 17 metrics of shale gas development in the Pennsylvania portion of the Upper Susquehanna River basin that was collated from a variety of sources and summarized at the upstream catchment scale. Data were also standardized by upstream area and transformed into rank scores based on metric distribution and then summarized into a Disturbance Intensity Index (DII). See Maloney et al. 2018 for detailed descriptions of each data sets and limitations of data. (Maloney, K. O., J. A. Young, S. P. Faulkner, A. Hailegiorgis, E. T. Slonecker, and L. E. Milheim. 2018. A detailed risk assessment of shale gas development on headwater streams in the Pennsylvania portion of the Upper Susquehanna River Basin, U.S.A. Science... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Ecology, Pennsylvania portion of the Upper Susquehanna River basin, USGS Science Data Catalog (SDC), biota, environment, All tags... inlandWaters, Fewer tags Captures and Trapping Effort for Deer Mice (Peromyscus sonoriensis) at Point Reyes National Seashore, California, USA from 2021 to 2022 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. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: California, Ecology, Marin County, Point Reyes National Seashore, USGS Science Data Catalog (SDC), All tags... Wildlife Biology, biota, ecology, mammals, modeling, population and community ecology, restoration, Fewer tags Modeled potential presence of Ceratocystis luhuohia across Hawaiian Islands Hawaiʹi’s most widespread native tree, ʹōhiʹa lehua (Metrosideros polymorpha), has been dying across large areas of Hawaiʹi Island mainly due to two fungal pathogens (Ceratocystis lukuohia and Ceratocystis huliohia) that cause a disease collectively known as Rapid ʹŌhiʹa Death (ROD). Here we examine patterns of positive detections of C. lukuohia as it has been linked to the larger mortality events across Hawaiʹi Island. Our analysis compares the environmental range of C. lukuohia and its spread over time through the known climatic range and distribution of ʹōhiʹa. This data set is a georeferenced raster file, containing the projected potential presence of C.lukuohia across the main Hawaiian Islands using climatic... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Ceratocystis lukuohia, Hawaii, Metrosideros polymorpha, Ohia, Rapid Ohia death, All tags... biota, Fewer tags February 2020 National Wetlands Inventory, Mississippi Barrier Islands Habitat Classification: (Cat Island, Ship Island, Petit Bois Island and Horn Island) This data set consists of digital data describing wetlands and uplands habitats for the Mississippi Coastal Improvements Program (MsCIP) area, consisting of Cat, Ship, Horn and Petit Bois Islands for the year 2020. Wetlands were classified using the Cowardin, et al., wetlands classification scheme to the level of freshwater and tidal, salinity modifiers. Uplands were classified using a customized classification scheme which can be cross-referenced to Anderson, et. al. For this dataset, upland dunes were delineated as areas at or above 1.524 meters (5 feet) as determined in the Lidar data that was referenced without modification for this classification. With this elevation criteria some delineated upland dune features... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Cat Island, Geography, Habitats, Horn Island, Land Use Change, All tags... Land Use Change, Mississippi Barrier Islands, Mississippi Coastal Improvements Program (MSCIP), National Wetlands Inventory, National Wetlands Inventory (NWI), Petit Bois Island, Remote Sensing, Remote Sensing, Ship Island, USGS Science Data Catalog (SDC), Wetland ecosystems, avian resources, biota, coastal ecosystems, environment, habitat analysis, habitat monitoring, marine, terrestrial, turtle resources, wetland restoration, Fewer tags Pre-restoration vegetation data, Little Saint Francis River chat pile site, Missouri, USA, 2017 and 2018 This data set includes geospatial data and tables providing location, environmental, and vegetation data collected in 2017 and 2018 at the Little Saint Francis River (LSFR) chat pile restoration site, Fredericktown, Madison County, Missouri. Restoration actions are being implemeneted as part of the settlement for the Madison County Mines Superfund site to compensate the public for losses of natural resources and the services they provide as part of the Natural Resource Damage Assessment and Restoration Southeast Missouri Lead Mining District case. Data were collected prior to and during the early stages of restoration actions to restore bottomland forest habitat, reduce invasive plant species abundance, and improve... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Fredericktown, Little Saint Francis River, Madison County, Madison County Mines Superfund Site, Missouri, All tags... Southeast Missouri Lead Mining District, USGS Science Data Catalog (SDC), biota, contamination, environment, hydrology, restoration, soils, vegetation, Fewer tags Model subareas and moisture zones used in a sensitivity analysis of a water-budget model completed in 2022 for the island of Oahu, Hawaii A sensitivity analysis of groundwater-recharge estimates from a water-budget model was completed for the islands of Oahu and Maui, Hawaii (Johnson and others, 2023). Results of the sensitivity analysis were used to quantify the relative importance of selected model parameters to recharge estimates for three moisture zones (dry, mesic, and wet) on Oahu and Maui. This shapefile contains the boundaries of the moisture zones and boundaries of the model subareas that were used in the model simulations for Oahu. The shapefile attribute information includes the names of the land-cover types assigned to model subareas and the mean annual recharge values determined for the model subareas for the baseline scenario of the... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: Hawaii, Oahu, Pacific Islands, biota, boundaries, All tags... climatologyMeteorologyAtmosphere, environment, geoscientificInformation, groundwater, inlandWaters, land use and land cover, water budget, water cycle, Fewer tags Active channel in the Lower Virgin River before and after a 40 yr flood (December 2010) Active channel as defined by remote sensing before (2010 and after (2011) a 40 year return period flood (December 2010) within the lower Virgin River, Nevada. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arizona, Nevada, Virgin River, active channel, biota, All tags... lidar, orthophotography, remote sensing, Fewer tags Potential productivity and change for buffalograss in the Great Plains Landscape Conservation Cooperative area This data set includes the relative production scenarios for bufflaograss [0.72(Temp) - 0.12(Precip) - 0.04(Sand) + 3.08]; this is the model from Epstein, et al. (1998). Soil texture (percent by weight) came from the Earth Systems Science Center (2008) which provided processed soils data from NRCS (gSSURGO), mean annual temperature (Celsius) and/or mean annual precipitation (millimeters) came from contemporary (1981 - 2010) estimates (Maurer et al. 2002) or a GCM. Global Climate Models (GCM) providing scenarios included: warmer-wetter scenario (CESM1-BGC, RCP4.5, Neale et al., 2010), warmer drier scenario (GISS-E2-R, RCP4.5, Schmidt, 2014), hotter-wetter scenario (Miroc-ESM, RCP8.5, Watanabe et al., 2011), and hotter-drier... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Colorado, Great Plains Landscape Conservation Cooperative, Kansas, Nebraska, New Mexico, All tags... Oklahoma, Rapid Ecological Assessment, South Dakota, Southern Great Plains, Southern Great Plains, Texas, Wyoming, biota, disturbance, energy, environment, management, vegetation, wilderness, wildlife, Fewer tags Root thread strength, landslide headscarp geometry, and observed root characteristics at the monitored CB1 landslide, Oregon, USA This data release supports interpretations of field-observed root distributions within a shallow landslide headscarp (CB1) located below Mettman Ridge within the Oregon Coast Range, approximately 15 km northeast of Coos Bay, Oregon, USA. (Schmidt_2021_CB1_topo_far.png and Schmidt_2021_CB1_topo_close.png). Root species, diameter (greater than or equal to 1 mm), general orientation relative to the slide scarp, and depth below ground surface were characterized immediately following landsliding in response to large-magnitude precipitation in November 1996 which triggered thousands of landslides within the area (Montgomery and others, 2009). The enclosed data includes: (1) tests of root-thread failure as a function of... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Botany, Forestry, Geomorphology, Oregon, Soil Sciences, All tags... Southern Oregon Coastal, USGS Science Data Catalog (SDC), United States, biota, environment, geoscientificInformation, landslide, landslide susceptibility assessment, plant, root, Fewer tags Historic and future trends in exotic annual grass (%) cover in the western US (1985 to 2019 and 2025 to 2040) Exotic annual grasses [EAG] are one of the most damaging biological stressors in western North America. Despite numerous environmental and societal impacts associated with EAG there remains a need to enhance regional monitoring capabilities to better guide management and conservation efforts. Here we provide estimates of historic and potential future trends in EAG abundance that were developed using linear trend analysis and machine learning techniques at a 30-m spatial resolution. Specifically, these data represent historic (1985 to 2019) and potential future (2025-2040) rates of exotic annual grass change as estimated using Theil-Sen regression and a process-constrained, random forest model assuming only changes... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Ecology, Exotic annual grasses, cheatgrass, remote sensing, Exotic annual grasses, cheatgrass, remote sensing, Land Use Change, Remote Sensing, All tags... USGS Science Data Catalog (SDC), biota, Fewer tags Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019) Exotic annual grasses are one of the most damaging biological stressors in western North America and increase the susceptibility of landscapes to wildfire occurrence. Here we couple estimates of long-term rangeland component fractions (e.g. exotic annual grasses) with remote sensing, climate data, and machine learning techniques to estimate the long-term (1985 to 2019) probability of wildfire occurrence (30-m spatial resolution) in sagebrush-dominated landscapes of the western United States. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Ecology, Exotic annual grasses, cheatgrass, remote sensing, wildfire, Land Use Change, Remote Sensing, Remote sensing, wildfire occurrence, wildfire risk, All tags... USGS Science Data Catalog (SDC), biota, Fewer tags Katahdin Woods and Waters National Monument Seboeis Unit Vegetation Mapping Project: Vegetation Points (Accuracy Assessment Sites and Vegetation Plots) During summer 2019, botanists with the Maine Natural Areas Program collected data from 94 vegetation plots for plant community characterization. The sampling data were entered into the National Park Service PLOTS version 4.0 (National Park Service 2018) for analyses to characterize vegetation associations in the U.S. National Vegetation Classification. An accuracy assessment was performed on the draft version of the vegetation map layer. During the summer of 2020, field crews collected data from 107 stratified and randomly selected sites for evaluating the accuracy of the vegetation map layer for those map classes representing U.S. National Vegetation Classification associations. The accuracy assessment field data... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accuracy Assessment, Data Collection, Katahdin Woods and Waters National Monument, Maine, Map, All tags... NVCS, National Park Service, National Vegetation Classification Standard, Natural Resources Preservation Program, Observation, U.S. National Vegetation Classification, USNVC, United States, Vegetation Plot, biota, environment, Fewer tags Gambia Land Use Land Cover 2013 This dataset is the third (circa 2013) in a series of three 1-kilometer land use land cover (LULC) time-periods datasets (1975, 2000, and 2013) aids in monitoring change in West Africa’s land resources. To monitor and map these changes, a 26 general LULC class system was used. The classification system that was developed was primarily inspired by the “Yangambi Classification” (Trochain, 1957). This fairly broad class system for LULC was used because the classes can be readily identified on Landsat satellite imagery. A visual photo-interpretation approach was used to identify and map the LULC classes represented on Landsat images. The Rapid Land Cover Mapper (RLCM) was used to facilitate the photo-interpretation... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Gambia, Land Cover, Land Use, biota, land cover, All tags... land use, land use classes, landcover, landuse, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 6 (Nevada), Interim nv_lvl6_coarsescale: Nevada hierarchical cluster level 6 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, Nevada, United States, Wyoming, All tags... adaptive management, biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 8 (Wyoming), Interim wy_lvl8_coarsescale: Wyoming hierarchical cluster level 8 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Centrocercus urophasianus, Greater sage-grouse, United States, Wyoming, adaptive management, All tags... biota, boundaries, graph theory, habitat connectivity, hierarchical sampling units, population monitoring, Fewer tags DisMOSH, Cost, MOSHShoreline: Distance to foraging areas for piping plovers (foraging shoreline, cost mask, and least-cost path distance): Cedar Island, VA, 2012–2013 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Cedar Island, All tags... Cedar Island, Charadrius melodus, Coastal Habitat, Coastal and Marine Geology Program, Delmarva Peninsula, Foraging Ecology, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Piping Plovers, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Woods Hole Coastal and Marine Science Center, biota, ecology, environment, geography, geomorphology, geospatial analysis, geospatial datasets, Fewer tags Canopy Base Height LANDFIRE for Wyoming at 1:24,000 The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Canopy base height (CBH) describes the lowest point in a stand where there is sufficient available fuel (= .25 in dia.) to propagate fire vertically through the canopy. Specifically, CBH is defined as the lowest... Categories: Data; Types: Downloadable; Tags: Canopy Base Height, Federal Government, GIS, LANDFIRE, Raster digital data, All tags... Sage Grouse Project, U.S., U.S. Geological Survey, US, US Geological Survey, USFS, USGS, United States, United States Forest Service, biota, elevation, environment, imageryBaseMapsEarthCover, Fewer tags 1 2 3 4 5 ... 9 »