Filters: Tags: species distribution (X) > partyWithName: U.S. Geological Survey - ScienceBase (X)
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This USGS data release documents species distribution models for 271 fluvial fish species in their native ranges of the conterminous United States. Source data, supporting code and model results are documented in this data package. Boosted Regression Tree (BRT) models were used to develop presence/absence predictions for each of the National Hydrography Dataset Plus Version 2.1 stream segments within a species' native range. The predictions provided can be linked to the NHDPlusV2.1 geospatial dataset through the COMID to create a spatial depiction of the models. The primary results are stored in the file "BRT Predictions" and are provided in comma separated value (CSV) and Parquet file formats. Parquet file format...
Categories: Data;
Tags: USGS Science Data Catalog (SDC),
United States of America,
aquatic biology,
biogeography,
biota,
This dataset provides supporting information for the species distribution data used in the associated manuscript. Collections of five non-native fish species were made by a number of institutions, and several capture techniques were used. This dataset also includes number of individuals of each species captured at each locality.
Categories: Data;
Types: Citation;
Tags: Alafia River,
Aquatic Biology,
Florida,
Hillsborough River,
Little Manatee River,
These tables serve as input data for hierarchical models investigating interactions between raven density and Greater Sage-grouse nest success. Observations were recorded over an 11 year time period, spanning from 2009 through 2019. The model is run in JAGS via R, the code is publicly available via the U.S. Geological Survey's GitLab (O'Neil et al. 2023). We recommend not making any changes or edits to the tables unless the user is experienced with hierarchical modeling. References: O'Neil, S.T., Coates, P.S., Webster, S.C., Brussee, B.E., Dettenmaier, S.J., Tull, J.C., Jackson, P.J., Casazza, M.L., and Espinosa, S.P., 2023, Code for a hierarchical model of raven densities linked with sage-grouse nest survival...
Data describe a designed environmental DNA (eDNA) survey for the detection of longnose darter (Percina nasuta) in field collected water samples. Parameters described include the limit of detection and limit of quantification of the assay; a list of freshwater fish species tissue samples that were used to test specificity of the assay; and field collected water samples that were tested to detect the presence of longnose darter DNA. Samples were collected from sites on the St. Francis river, Missouri in 2018.
These data describe the distribution and abundance of Hydropsyche, a widespread and diverse genus of net-spinning caddisflies, in the Colorado River Basin. Abundance data, measured as catch rates, were collected by citizen scientists using light traps. We subsampled Hydropsyche spp. from light trap samples collected throughout the Colorado River Basin and measured the lengths and widths of mesothoracic tibia and first tarsal segments. Samples and measurements were processed at Grand Canyon Monitoring and Research Center in Flagstaff, AZ.
This USGS data release documents coarse ranges for 123 fish species in the conterminous United States for level 8 hydrologic units from the Watershed Boundary Dataset (WBD). These range maps were derived by combining known fish occurrence information from four data sources: point occurrences from the Aquatic Gap Analysis Project (AGAP) fish database, point occurrences from the IchthyMaps dataset, point occurrences from the Global Biodiversity Information Facility (GBIF), and HUC-8 level range maps developed by NatureServe. Data can be linked to geospatial units of the WBD using the HUC8 field. Data are provided in comma separated value (CSV) and zipped Parquet file formats. Parquet file format is provided to help...
Categories: Data;
Tags: USGS Science Data Catalog (SDC),
United States of America,
aquatic biology,
biogeography,
biota,
This data is a companion to the manuscript titled "Data integration reveals dynamic and systematic patterns of breeding habitat use by a threatened shorebird". Advances in both remote sensing and analytical tools for spatial data have allowed for the integration of dynamic processes into species distribution models. We developed a spatiotemporal model of breeding habitat use and density for a federally threatened shorebird (piping plover, Charadrius melodus) by integrating a 20-year (2000 – 2019) nesting dataset with opportunistic, volunteer collected (eBird), sightings. Piping plovers are an ideal candidate for dynamic habitat models because this species depends on habitat created and maintained by highly variable...
The publication "Invaders from Islands: Thermal Matching, Potential, or Plasticity?" is comprised of data derived from multiple datasets. These datasets include climatic and temperature variables used in ecological niche models for predicting suitable habitat for Leiocephalus carinatus in its invaded and native ranges. Also included are thermal tolerance measurements assessed in March 2020 for Leiocephalus carinatus from Key Largo and Cocoa Beach, Florida, USA. Additionally, we include weatherstation data for local minimum and maximum ambient temperatures for the experimentally assessed populations at short (months) and long (decades) timescales. The dataset "curly_thermal_limits" describes thermal tolerance data...
These data were collected by the Grand Canyon Monitoring and Research Center (GCMRC) to support riparian vegetation monitoring along the Colorado River between Glen Canyon Dam and the full pool level of Lake Mead. The objectives of the GCMRC riparian vegetation monitoring program are to annually measure and summarize the status (composition and cover) of native and non-native vascular plant species within the riparian zone of the Colorado River between Glen Canyon Dam and Lake Mead, assess change in the vegetation composition and cover in the riparian zone, as related to geomorphic setting and dam operations, particularly flow regime, and collect data in a manner that can be used by multiple stakeholders and is...
These data describe the spatio-temporal distribution of dabbling duck species across the continental United States during four biologically relevant seasons. This dataset contains two types of distribution models: (1) probability of presence, and (2) abundance. The model type, species, and season depicted in a raster are defined in the file name. File names begin with either abun (indicating that it is an abundance model) or prob (indicating a probability of occurrence model). Following model type is species, for which there are 10 provided: ABDU (American Black Duck), AMEW (American Wigeon), BWTE (Blue-winged Teal), CITE (Cinnamon Teal), GADW (Gadwall), AGWT (Green-winged Teal), MALL (Mallard), MODU (Mottled...
Categories: Data;
Tags: Ecology,
Environmental Health,
Population Dynamics,
Species Distribution,
USGS Science Data Catalog (SDC),
Rasters representing median raven density estimates, calculated from approximately 28,000 raven point count surveys conducted between 2009 and 2019. Estimates were the result of a Bayesian hierarchical distance sampling model, using environmental covariates on detection and abundance.
These data were compiled to evaluate the effects of low steady weekend flows on emergent aquatic insects during the first year of experimental Bug Flows below Glen Canyon Dam (2018) and recreation in Glen Canyon in the second year of Bug Flows (2019). Bug Flows are experimental flows that were released from Glen Canyon Dam in 2018 and 2019. The flows consist of low steady flows on weekends and have the goal of increasing aquatic insect production. These data were compiled for an outreach article providing Citizen Scientists with an update on ongoing research evaluating the effects of Bug Flows. Midge and caddisfly data were collected by Citizen Scientists using light traps. Angler data were collected under a paired...
These data are comprised of geo-located breeding season occurrences of Blue-winged Warblers (Vermivora cyanoptera) and Golden-winged Warblers (Vermivora chrysoptera) in North America, 1963-2021. These data were collated from eBird (Cornell Lab of Ornithology) and the North American Breeding Bird Survey (US Geological Survey).
Categories: Data;
Tags: Biological Occurrence,
North America,
USGS Science Data Catalog (SDC),
Vermivora,
Wildlife Biology,
GAP species range data are coarse representations of the total areal extent a species occupies, in other words the geographic limits within which a species can be found (Morrison and Hall 2002). These data provide the geographic extent within which the USGS Gap Analysis Project delineates areas of suitable habitat for terrestrial vertebrate species in their species' habitat maps. The range maps are created by attributing a vector file derived from the 12-digit Hydrologic Unit Dataset (USDA NRCS 2009). Modifications to that dataset are described here. Attribution of the season range for each species was based on the literature and online sources (See Cross Reference section of the metadata). Attribution for each...
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biodiversity and Ecosystems Theme,
NDGA,
National Geospatial Data Asset,
USGS Science Data Catalog (SDC),
United States,
These maps were developed to support an effort to understand the spatial characteristics of piping plover (Charadrius melodus) nesting habitats. The maps show the expected nesting habitat distributions and piping plover intensity between 2000 and 2021 in the U.S. Prairie Pothole Region.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Ecology,
Montana,
Nests,
North Dakota,
Remote Sensing,
We combined approximately 28,000 raven point count surveys with data from more than 900 sage-grouse nests between 2009 and 2019 within the Great Basin, USA. We modeled variation in raven density using a Bayesian hierarchical distance sampling approach with environmental covariates on detection and abundance. Concurrently, we modeled sage-grouse nest survival using a hierarchical frailty model as a function of raven density as well as other environmental covariates that influence risk of failure. Raven density commonly exceeded more than 0.5 ravens per square kilometer and increased at low relative elevations with prevalent anthropogenic development and/or agriculture. Reduced sage-grouse nest survival was strongly...
Gap Analysis Project (GAP) habitat maps are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Mapped areas represent places where the environment is suitable for the species to occur (i.e. suitable to support one or more life history requirements for breeding, resting, or foraging), while areas not included in the map are those predicted to be unsuitable for the species. While the actual distributions of many species are likely to be habitat limited, suitable habitat will not always be occupied because of population dynamics and species interactions. Furthermore, these maps correspond to midscale characterizations of landscapes,...
Categories: Data,
Map;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Biodiversity and Ecosystems Theme,
NGDA,
National Geospatial Data Asset,
USGS Science Data Catalog (SDC),
United States,
These rasters are the result of calculating the difference in Greater Sage-grouse nest survival after a simulated reduction of raven density to 0.1 ravens per square kilometer. The difference in nest survival represents spatial variation in potential to improve nest survival by reducing raven impacts. The extent of each individual raster is the extent of the field site at which sage-grouse nest observations were recorded.
This is a data release for models indicating suitable habitat for waterfowl at a 1km resolution across China. Faced with limited data, we built species distribution models using a habitat suitability approach for China’s breeding and non-breeding waterfowl. An extensive review of the literature was used to determine model parameters for habitat modeling. Habitat relationships were implemented in GIS using land cover covariates. Wintering models were validated using waterfowl census data, while breeding models, though developed for many species, were only validated for the one species with sufficient telemetry data available. We developed suitability models for 42 waterfowl species (30 breeding and 39 wintering)...
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