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These data are statistical model outputs for American badger (Taxidea taxus) species distribution, completed by Frank Davis’ Biogeography Lab at UC Santa Barbara. The UCSB Biogeography Lab used Maxent to generate predictions of habitat occupancy for ~70 species for the CA Energy Commission’s project “Cumulative Biological Impacts Framework for Solar Energy in the CA Desert”, 500-10-021. Species distribution models were produced at 270 m resolution using a subset of 22 environmental variables. Models were evaluated with 10-foldcross validated AUC scores. Results are preliminary and have notyet been reviewed by expert biologists. Both continuous probability surfaces and binary layers are available for each...
The Software for Assisted Habitat Modeling (SAHM) has been created to both expedite habitat modeling and help maintain a record of the various input data, pre- and post-processing steps and modeling options incorporated in the construction of a species distribution model through the established workflow management and visualization VisTrails software. This paper provides an overview of the VisTrails:SAHM software including a link to the open source code, a table detailing the current SAHM modules, and a simple example modeling an invasive weed species in Rocky Mountain National Park, USA.
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The Species Richness Maps included here are based on the Gap Analysis Project (GAP) habitat maps, which are predictions of the spatial distribution of suitable environmental and land cover conditions within the United States for individual species. Individual species habitat distribution models were summed to create the total richness for each vertebrate taxa. The summing process was coded in Python 2.7 and employed the arcpy module for geoprocessing steps. The code is documented in the log file which is included in the Sciencebase item along with the richness data for each taxa (See processing steps for file names and sciencebase urls). Mapped habitat distribution areas represent places where the environment is...
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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...
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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.
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Estimates of county tile drainage in the Mississippi River Basin. Data Sources: 2012 USDA NASS Census of Agriculture; World Resources Institute. 2008. Assessing Farm Drainage; USGS Northern Prairie Wildlife Research Center. 2014. Assessment of agricultural subsoil pattern tile drainage on wetland hydrology and ecosystem services in the Prairie Pothole Region. Field Description tiled_acre Acres drained by tile (NASS Census of Agriculture, 2012) or drainage permit acres in Dakotas (NPWRC, 2014), whichever is higher. pct_tile Percent of county drained by tile (tiled_acre/cty_acr*100) prmtac2 Acres under drainage permit in North or South Dakota (NPWRC, 2014). Best_Guess Acres drained by tile (WRI - Assessing...
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Important Forest Resource Areas are those landscape areas that are considered to be of high program potential or priority by State Forest Action Plans, and as defined by National Forest Stewardship Program Standards and Guidelines. This dataset contains the combined areas for Illinois, Indiana, Iowa, Minnesota, Missouri, and Wisconsin within the Mississippi River Basin. Grid Value "1": Stewardship Potential - Areas within a state that are eligible for Forest Stewardship and Rural Forestry Assistance Program delivery, but are not considered a priority. Grid Value "2": High Stewardship Potential - Priority areas within a state that are eligible for Forest Stewardship and Rural Forestry Assistance Program delivery.
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Mainstem Mississippi River bottomlands. Derived by combining the Mississippi alluvial plain with natural floodplains created by the Scientific Assessment and Strategy Team for the Upper Mississippi. While the Mississippi alluvial plain is not entirely bottomland (e.g. Crowley's Ridge), excluding these non-bottomland areas from analysis would exclude opportunities to expand existing forest patches and enhance connectivity.
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Combined core and corridor areas used to identify the landscape context of potential implementation opportunities in terms of enhancing functional connectivity. Data generated by The Conservation Fund as part of the Midwest Wind Energy Multi-Species Habitat Conservation Plan (MSHCP) and NiSource MSHCP green infrastructure network design processes.
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Fish distribution in Umpqua National Forest. The cover was built at two locations and by two people. Cottage Grove prepared the Cottage Grove district fish distribution and the Supervisors office prepared the fish distribution for Tiller, North Umpqua, and Diamond Lake districts. The SO then merged the two layers together. The fish distribution layer was developed using the existing stream layer, then identifying those streams and stream breaks for each fish species. The streams that don't have any fish distribution were deleted fom the layer. Arcview was the program used to create the layer utilizing heads-up digitizing to identify the breaks. This cover was built at a map scale of 1:24000.
Abstract The distribution and future fate of ectothermic organisms in a warming world will be dictated by thermalscapes across landscapes. That is particularly true for stream fishes and cold-water species like trout, salmon, and char that are already constrained to high elevations and latitudes. The extreme climates in those environments also preclude invasions by most non-native species, so identifying especially cold habitats capable of absorbing future climate change while still supporting native populations would highlight important refugia. By coupling crowd-sourced biological datasets with high-resolution stream temperature scenarios, we delineate network refugia across >250 000 stream km in the Northern...
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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...
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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.
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The Conservation Opportunity Areas (COAs) for Tennessee capture populations of GCN species and high quality habitats, and as appropriate, define the geographically relevant framework for achieving conservation outcomes. The COAs currently designed for Tennessee are large geographies, with the expectation that further prioritization and goal setting for specific habitat outcomes can be achieved within them through collaborations with partners on shared objectives. While designing the COAs for Tennessee, the planning team considered three major attributes: GCN habitat priority, the problems affecting the habitats, and the on-the-ground opportunities to implement conservation actions.
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Estimated number of breeding pairs of LeConte's sparrow based on the amount of grass, trees, and/or hay in the landscape. Landscape scale varied from 1/4- to 2-mile radius depending on the species. Pair estimates were calculated for grass patches >=1 ha, extrapolated to 40-ac cells, then smoothed by averaging over a 1-mile radius. Models were based on point count surveys conducted in 2003-2005 throughout the Tallgrass Prairie Pothole Region. Point count locations were stratified by cover type, the amount of grass in the landscape, and USFWS Wetland Management District boundaries. Landcover data were derived from 2000 Thematic Mapper imagery. Grid values = number of breeding pairs per 30-m pixel.
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Ecological Focus Areas (EFA), geographically explicit areas in which to address conservation issues, represent landscapes where conservation actions can be applied for maximum benefit to all Kansas wildlife. Each EFA includes a suite of SGCN and priority habitats and a unique set of conservation actions designed to address the specific resource concerns facing these species and habitats. Each EFA also includes one or more protected areas that can serve as demonstration sites for conservation actions.
map background search result map search result map Umpqua National Forest Fish Distribution American badger - UCSB Species Distribution Model, CA Desert Mainstem Floodplains - Large Bottomland Ecological System Important Forest Resource Areas UMRGLR JV - Wetland Breeding Bird Habitat Priorities HAPET Breeding Pairs - LeConte's sparrow Combined Green Infrastructure Corridors Gridded SSURGO - Farmland Class (Prime/Important) County Tile Drainage - Mississippi River Basin Kansas - Terrestrial Ecological Focus Areas Tennessee Conservation Opportunity Areas Distribution and status of five non-native fish species in the Tampa Bay drainage (USA), a hot spot for fish introductions-Data Basin-wide Restoration Opportunities - Cotton (2017) U.S. Geological Survey - Gap Analysis Project Reptile Species Habitat Richness Longnose darter (Percina nasuta) eDNA survey results from the St. Francis River, Missouri 2018 Fluvial Fish Native Distributions for the Conterminous United States using the NHDPlusV2.1 and Boosted Regression Tree (BRT) Models Raven Observations near Greater Sage-Grouse Nests in the Great Basin and Bi-State Regions of the Western United States (2009 - 2019) Distribution and status of five non-native fish species in the Tampa Bay drainage (USA), a hot spot for fish introductions-Data Longnose darter (Percina nasuta) eDNA survey results from the St. Francis River, Missouri 2018 Umpqua National Forest Fish Distribution Tennessee Conservation Opportunity Areas Kansas - Terrestrial Ecological Focus Areas American badger - UCSB Species Distribution Model, CA Desert HAPET Breeding Pairs - LeConte's sparrow Raven Observations near Greater Sage-Grouse Nests in the Great Basin and Bi-State Regions of the Western United States (2009 - 2019) UMRGLR JV - Wetland Breeding Bird Habitat Priorities Important Forest Resource Areas Mainstem Floodplains - Large Bottomland Ecological System Combined Green Infrastructure Corridors Gridded SSURGO - Farmland Class (Prime/Important) Basin-wide Restoration Opportunities - Cotton (2017) County Tile Drainage - Mississippi River Basin Fluvial Fish Native Distributions for the Conterminous United States using the NHDPlusV2.1 and Boosted Regression Tree (BRT) Models U.S. Geological Survey - Gap Analysis Project Reptile Species Habitat Richness