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Location Folder Show Tree ROOT ScienceBase Catalog Users Filters Date Range Past year (5) Past month (2) Past week (1) Past day (0) Custom range... To   Search Types Citation (1) Contacts Fort Collins Science Center U.S. Geological Survey - ScienceBase Ecosystems U.S. Geological Survey Peder S Engelstad More... Categories Data (7) Data Release - In Progress (1) Data Release - Revised (1) Tag Types Place (41) Tags (with Scheme=Common geographic areas) united states (9) colorado (4) kansas (4) new mexico (4) oklahoma (4) texas (4) albany (2) More... View Results as: JSON ATOM CSV Browse Folder

INHABIT species potential distribution across the contiguous United States Note: this data release has been superseded by version 2.0, available here: https://doi.org/10.5066/P9V54H5K We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions and relied on human input based on natural history knowledge to further narrow the variable... Tags: Contiguous United States, SAHM, Species Distribution Modeling, USGS Science Data Catalog (SDC), United States, All tags... VisTrails, biota, habitat suitability, invasive, Fewer tags Data to create and evaluate distribution models for invasive species for different geographic extents We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1: https://doi.org/10.1371/journal.pone.0263056) and relied on human input based on natural history knowledge to further narrow the variable set for each species before... Categories: Data; Tags: Contiguous United States, Eastern sage, Ecology, Great Basin, Great Plains, All tags... Habitat suitability, Invasive, SAHM, Species Distribution Modeling, USGS Science Data Catalog (SDC), United States, VisTrails, Fewer tags archive_workflow_FinalModel The "_archive_workflow_FinalModel.zip" data bundle is comprised of the metadata and Vistrails workflow that contains the following history nodes, which contain modeling workflows: "NLCD2016 state bckgrnd" and "NLCD2016 wostate bckgrnd". These nodes produced the following 9 output rasters: 1) Probability map (without state) 2) MPP threshold (without state) 3) Five percent threshold (without state) 4) Ten percent threshold (without state) 5) Probability map (with state) 6) MPP threshold (with state) 7) Five percent threshold (with state) 8) Ten percent threshold (with state) 9) Maxent MESS map Tags: Colorado, Kansas, New Mexico, Oklahoma, SAHM, All tags... Software for Assisted Habitat Modeling, Southern Great Plains, Species Distribution modeling, Texas, VisTrails, biota, conservation planning, habitat suitability, prairie grouse, species distribution modeling, Fewer tags archive_raster_inputs The 'archive_raster_inputs.zip' data bundle contains '_archive_raster_inputs_XX.tif' and archive_raster_inputs_XX.xml where XX is the name of 1 of 8 input rasters that were created and used to generate these model results. The original layers and sources used to produce each predictor, as well as processing steps, are specified in each .xml file. Tags: Colorado, Kansas, New Mexico, Oklahoma, Raster, All tags... SAHM, Software for Assisted Habitat Modeling, Southern Great Plains, Species Distribution modeling, Texas, VisTrails, Well Density, biota, conservation planning, habitat suitability, prairie grouse, species distribution modeling, Fewer tags Thresholded abundance models for three invasive plant species in the United States We developed habitat suitability models for three invasive plant species: stiltgrass (Microstegium vimineum), sericea lespedeza (Lespedeza cuneata), and privet (Ligustrum sinense). We applied the modeling workflow developed in Young et al. 2020, developing similar models for occurrence data, but also models trained using species locations with percent cover ≥10%, ≥25%, and ≥50%. We chose predictors from a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1) and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed models using... Categories: Data; Tags: Botany, Contiguous United States, Ecology, Land Use Change, Remote Sensing, All tags... SAHM, Species Distribution Modeling, USGS Science Data Catalog (SDC), United States, VisTrails, biota, habitat suitability, invasive, Fewer tags Data for modeling tegu lizard distributions in the Americas This data bundle contains some of the inputs, all of the processing instructions and all outputs from a single VisTrails/SAHM workflow. This model specifically includes field data of thinned occurrence locations and random background locations and un-thinned occurrence locations and targeted background locations for three species of tegu lizards in South America. Predictors included bioclimatic, tree cover, season length, potential evapotranspiration and solar radiation index rasters. Details about both inputs are included in the associated manuscript. The three bundle documentation files are: 1) '_archive_bundle_metadata.xml' (this file) which contains FGDC metadata describing the archive bundle. 2) 'PredictorList.csv'... Categories: Data; Tags: North America, SAHM, Salvator merianae, Salvator rufescens, Software for Assisted Habitat Modeling, All tags... South America, Species Distribution modeling, Tegu lizards, Tupinambis teguixin, USGS Science Data Catalog (SDC), VisTrails, biota, Fewer tags Workflow to create global species distribution model for Bombina orientalis, Xenopus laevis, and Pomacea from GBIF data and climate, land cover, topography, and MODIS derived predictors This data bundle contains some of the inputs, all of the processing instructions and all outputs from a single VisTrails/SAHM workflow. This model specifically includes location data for Bombina orientalis and random background locations. Predictors include climatic, topographic, and land cover rasters. The three bundle documentation files are: 1) '_archive_bundle_metadata.xml' which contains FGDC metadata describing the archive bundle. 2) '_archive_raster_inputs.csv' a list of the raster inputs that were used to generate these model results. These are not included in the archive bundle due to size constraints but are identified in this file as well as the metadata document. 3) '_archive_workflow_Final runs.vt'... Types: Citation; Tags: Earth, Globe, SAHM, Software for Assisted Habitat Modeling, Species Distribution modeling, All tags... USGS Science Data Catalog (SDC), United States, VisTrails, biota, Fewer tags INHABIT species potential distribution across the contiguous United States (ver. 3.0, February 2023) We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1: https://doi.org/10.1371/journal.pone.0263056) and relied on human input based on natural history knowledge to further narrow the variable set for each species before... Categories: Data, Data Release - Revised; Tags: Contiguous United States, SAHM, Species Distribution Modeling, USGS Science Data Catalog (SDC), United States, All tags... VisTrails, biota, habitat suitability, invasive, Fewer tags Cheatgrass mapping in Squirrel Creek Wildfire, WY in 2014 This data bundle contains some of the inputs, all of the processing instructions and all outputs from two VisTrails/SAHM workflow. These models specifically include field data of locations with >40% cover of cheatgrass (presence) and <40% cover of cheatgrass (absence). Predictors included rasters derived from LandSat 8 imagery (_archive_FinalModel_revised) or from a digital elevation model (_archive_TopoOnly_revised). Details about all inputs are included in the associated manuscript. The three bundle documentation files in each data bundle are: 1) '_archive_bundle_metadata.xml' (this file) which contains FGDC metadata describing the archive bundle. 2) '_archive_raster_inputs.csv' a list of the raster inputs that... Tags: Albany, SAHM, Software for Assisted Habitat Modeling, Species Distribution modeling, Squirrel Creek Wildfire, All tags... USGS Science Data Catalog (SDC), VisTrails, Wyoming, biota, fires, image collections, invasive species, multispectral imaging, remote sensing, Fewer tags Data for cheatgrass mapping in Squirrel Creek Wildfire and Arapaho Wildfire, WY in 2014 This data bundle contains some of the inputs, all of the processing instructions and all outputs from a single VisTrails/SAHM workflow. This model specifically includes field data of locations with >40% cover of cheatgrass (presence) and <40% cover of cheatgrass (absence) from two wildfire locations in Wyoming. Predictors included rasters derived from Landsat 8 imagery and from a digital elevation model. Details about both inputs are included in the associated manuscript described in the larger work citation of the '_archive_bundle_metadata.xml' metadata record. We developed models for each location and tested the transferability of the models to the other location. We built on previous work developing models for... Tags: Albany, SAHM, Software for Assisted Habitat Modeling, Species Distribution modeling, Squirrel Creek Wildfire, All tags... USGS Science Data Catalog (SDC), VisTrails, Wyoming, biota, fires, image collections, invasive species, multispectral imaging, remote sensing, Fewer tags Second Iteration of Range Wide Lesser Prairie Chicken Lek Habitat Suitability in 2019, Predicted in Southern Great Plains We developed a second iteration of habitat suitability models for Lesser Prairie Chicken leks, across their range. The first modeling iteration used lek data collected from 2002 to 2012, land cover data ranging from 2001 to 2013, and anthropogenic features from 2011. Our second iteration model used occurrence points from new lek surveys (2015 to 2019) and updated predictor layers to evaluate changes in lek suitability and to quantify current range-wide habitat suitability. We created suitability models from 2 predictor sets: one including all predictors, and the other excluding state as a predictor. All 11 predictors included in the "with state" predictor set were: average Enhanced Vegetation Index (EVI), distance... Tags: Colorado, Kansas, New Mexico, Oklahoma, SAHM, All tags... Software for Assisted Habitat Modeling, Southern Great Plains, Species distribution modeling, Texas, USGS Science Data Catalog (SDC), VisTrails, biota, conservation planning, habitat suitability, prairie grouse, Fewer tags First and Second Record of US-RIIS Vascular Plant Species in Contiguous United States This is a dataset containing the first and second record of georeferenced observations of introduced and invasive vascular plant species in the contiguous United States (CONUS). Non-native plant species were identified using the United States Register of Introduced and Invasive Species (US-RIIS) list. After identifying a list of plants non-native to CONUS, we obtained presence data from aggregated occurrence databases, ensuring the occurrences we acquired were georeferenced (i.e., had coordinate information) and had an observation year recorded. We also identified and removed records that might indicate cultivation. From these data, the first and second record were removed and isolated. This data set contains the... Categories: Data; Tags: Botany, Contiguous United States, First record, Invasive species, USGS Science Data Catalog (SDC), All tags... United States, Vascular plants, biota, Fewer tags archive_raster_outputs The 'archive_raster_outputs.zip' data bundle includes 'XX.tif' and 'XX.xml' where XX is the name of 1 of 9 specific output rasters produced from '_archive_workflow_FinalModel.vt'. These outputs include continuous and thresholded probability maps for models including and excluding state as a predictor, as well as a MESS (Multivariate Environmental Similarity Surface) map that describes areas with restricted environmental conditions for this species. Tags: Colorado, Kansas, Multivariate Environmental Similarity Surface, New Mexico, Oklahoma, All tags... SAHM, Software for Assisted Habitat Modeling, Southern Great Plains, Species Distribution modeling, Texas, VisTrails, biota, conservation planning, habitat suitability, prairie grouse, species distribution modeling, Fewer tags Potential distribution of Japanese brome (Bromus japonicus) across the contiguous United States (October 2023) This is a dataset containing the potential distribution of Japanese brome (Bromus japonicus). We developed habitat suitability models for Japanese brome, as suggested by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1: https://doi.org/10.1371/journal.pone.0263056) and relied on human input based... Tags: Botany, Contiguous United States, Ecology, SAHM, Species Distribution Modeling, All tags... USGS Science Data Catalog (SDC), United States, VisTrails, biogeography, biota, habitat suitability, invasive species, modeling, Fewer tags Management summary table for INHABIT species potential distribution across the contiguous United States: additional management units We developed habitat suitability models for invasive plant species selected by Department of Interior land management agencies. We applied the modeling workflow developed in Young et al. 2020 to species not included in the original case studies. Our methodology balanced trade-offs between developing highly customized models for a few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions (Engelstad et al. 2022 Table S1) and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. We developed... Categories: Data; Tags: Botany, Contiguous United States, Ecology, Remote Sensing, SAHM, All tags... Species Distribution Modeling, USGS Science Data Catalog (SDC), United States, VisTrails, biogeography, biota, habitat suitability, invasive species, modeling, Fewer tags US non-native plant occurrence and abundance data and distribution maps for Eastern US species with current and future climate This is a dataset containing aggregated non-native plant occurrence and abundance data for the contiguous United States. We used these data to develop habitat suitability models for species found in the Eastern United States using locations with 5% cover or greater. We adapted the INHABIT modeling workflow (Young et al. 2020), using a consistent set of climatic predictors that were important in the INHABIT models. We developed models using five algorithms with VisTrails: Software for Assisted Habitat Modeling [SAHM 2.2.2]. We accounted for sampling bias by using the target background approach, and constructed model ensembles using the five models for each species for three different thresholds (conservative to targeted;1st... Categories: Data, Data Release - In Progress; Tags: Botany, Contiguous United States, Ecology, SAHM, Species Distribution Modeling, All tags... USGS Science Data Catalog (SDC), United States, VisTrails, biogeography, biogeography, biota, habitat suitability, invasive species, invasive species, modeling, modeling, Fewer tags