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Current binomial (presence/absence) model of Brown Creeper (Certhia americana) 1971-2000. Current binomial (presence/absence) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from PRISM (Daly et al. 2004) averaged for the years 1971-2000. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, NPLCC, Oregon, Washington, birds, All tags... boosted regression tree model, climate change, species distribution modeling, 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 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 1. Occurrence data to train models for woody riparian native and invasive plant species in the conterminous western USA We developed habitat suitability models for occurrence of three invasive riparian woody plant taxa of concern to Department of Interior land management agencies, as well as for three dominant native riparian woody taxa. Study taxa were non-native tamarisk (saltcedar; Tamarix ramosissima, Tamarix chinensis), Russian olive (Elaeagnus angustifolia) and Siberian elm (Ulmus pumila) and native plains/Fremont cottonwood (Populus deltoides ssp. monilifera and ssp. wislizenii, Populus fremontii), narrowleaf cottonwood (Populus angustifolia), and black cottonwood (Populus balsamifera ssp. trichocarpa and ssp. balsamifera). We generally followed the modeling workflow developed in Young et al. 2020. We developed models using... Categories: Data; Tags: Elaeagnus angustifolia, Populus spp., SAHM, Software for Assisted Habitat Modeling, Species Distribution modeling, All tags... Tamarix spp., Ulmus pumila, United States, VisTrails, biota, habitat suitability, invasive plants, riparian, Fewer tags Estimates of habitat suitability of reed canarygrass (Phalaris arundinacea) in Upper Mississippi River floodplain forest understories (ver. 2.0, February 2024) This dataset contains predictions of habitat suitability of reed canarygrass (Phalaris arundinacea) in Upper Mississippi River floodplain forest understories from Pool 3 to Pool 13. Predictions were created using three machine learning algorithms (Bayesian additive regression trees, boosted trees, and random forest). This dataset contains rasters that provide habitat suitability predictions for each 12m raster cell that had forested landcover in 2010. In addition to one raster for each of the three algorithms an ensemble (mean prediction of all three algorithms) prediction raster for each pool is provided. The presence/absence observations used to train the model are contained in a .csv file with each plot location.... Categories: Data, Data Release - Revised; Tags: Habitat suitability modeling, Machine learning, Mississippi River, Species distribution modeling, USGS Science Data Catalog (SDC), All tags... Upper Mississippi River, biota, Fewer tags Determining Landscape Connectivity and Climate Change Refugia Across the Sierra Nevada This project used species distribution modeling, population genetics, and geospatial analysis of historical vs. modern vertebrate populations to identify climate change refugia and population connectivity across the Sierra Nevada. It is hypothesized that climate change refugia will increase persistence and stability of populations and, as a result, maintain higher genetic diversity. This work helps managers assess the need to include connectivity and refugia in climate change adaptation strategies. Results help Sierra Nevada land managers allocate limited resources, aid future scenario assessment at landscape scales, and develop a performance measure for assessing resilience. Categories: Data, Project; Tags: 2011, 2013, CA, California Landscape Conservation Cooperative, Conservation Design, All tags... Conservation Planning, Conservation planning, Consevation design, Data Acquisition and Development, Data Acquisition and Development, Federal, Federal resource managers, Forest, LCC, LCC Network Science Catalog, Project, Publication, Science Project, Sierra Nevada, Sierra Nevada, Southwest CSC, State agencies, Training/Outreach/Workshop, Website, adaptation, aet, biodiversity, communication, completed, connectivity, connectivity, downscaling, environment, genetics, grinnell, historical, mammals, management, maxent, microsatellite, multiple, online, pet, prism, refugia, refugia, resilience, seminar, species distribution modeling, squirrels, vertebrates, website, workshop, Fewer tags Future density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model Future density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Canadian Regional Climate Model (CRCM) with boundary conditions driven by the Community Climate System Model (CCSM) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, Oregon, Washington, birds, boosted regression tree model, All tags... climate change, species distribution modeling, Fewer tags Current probability of occurrence model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model Current probability of occurrence model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from PRISM (Daly et al. 2004) averaged for the years 1971-2000. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, California, NPLCC, Oregon, Oregon, All tags... Washington, Washington, birds, birds, boosted regression tree model, boosted regression tree model, climate change, climate change, species distribution modeling, species distribution modeling, Fewer tags Future density (birds per hectare) model of Brown Creeper Third Generation Coupled Global Climate Model (CGCM3) Future density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Regional Climate Model v3 (RCM3) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, NPLCC, Oregon, Washington, birds, All tags... boosted regression tree model, climate change, species distribution modeling, 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 Current probability of occurrence model of Brown Creeper (Certhia americana) Current probability of occurrence model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from PRISM (Daly et al. 2004) averaged for the years 1971-2000. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, NPLCC, Oregon, Washington, birds, All tags... boosted regression tree model, climate change, species distribution modeling, Fewer tags Average projected future (across 5 regional climate models using the A2 emissions scenario) density (birds per hectare) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model Average projected future (across 5 regional climate models using the A2 emissions scenario) density (birds per hectare) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from 1) Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3); 2) Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Community Climate System Model (CCSM); 3) Regional Climate Model v3 (RCM3) with boundary conditions driven by the Geophysical Fluid Dynamics Laboratory Global... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, California, NPLCC, Oregon, Oregon, All tags... Washington, Washington, birds, birds, boosted regression tree model, boosted regression tree model, climate change, climate change, species distribution modeling, species distribution modeling, Fewer tags Current density (birds per hectare) model of Brown Creeper 1971-2000. Current density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from PRISM (Daly et al. 2004) averaged for the years 1971-2000. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, NPLCC, Oregon, Washington, birds, All tags... boosted regression tree model, climate change, species distribution modeling, Fewer tags Future binomial (presence/absence) model of Brown Creeper Future binomial (presence/absence) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, NPLCC, Oregon, Washington, birds, All tags... boosted regression tree model, climate change, species distribution modeling, Fewer tags Future density (birds per hectare) model of Brown Creeper: Community Climate System Model (CCSM) Future density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Community Climate System Model (CCSM) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, NPLCC, Oregon, Washington, birds, All tags... boosted regression tree model, climate change, species distribution modeling, Fewer tags Species Distribution Modeling of Invasive, Fire Promoting Grasses, Across the Hawaiian Islands in Both 2023 and Under a Future Scenario of Unmitigated Climate Change in 2100 This product used species distribution modeling (SDM) to model the geographic distribution fire promoting grasses across the islands of Hawaii under both current climate conditions and under future climate change scenarios (RCP 8.5 at year 2100). The RCP 8.5 scenario assumes unmitigated and continued release of greenhouse grasses and continued human population growth. Six species of well established and widely distributed grasses (Andropogon virginicus (broomsedge), Cenchrus ciliaris (buffelgrass), Cenchrus setaceus (fountain grass), Megathyrus maximus (guinea grass, Urochloa maxima, Pancicum maximum), Melinis minutiflora (mollasses grass), and Schizachyrium microstachyum (formerly referred to as S. condensatum... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Hawaii, Species distribution modeling, biota, climate change, fire, All tags... flammable plants, future climate, grass, Fewer tags Data for modeling fountain grass and bishop's goutweed in the contiguous US This data bundle contains the merged data sets to create models for bishop's goutweed and fountaingrass using the VisTrails:SAHM [SAHM 2.1.0]. We developed species distribution models for both species following a workflow designed to balance automation and human intervention to produce models for invasive plant species of concern to U.S. land managers. Location data came from existing databases aggregating species occurrence information. Predictors came from a national library of potential environmental variables based on what environmental factors might limit plant species' distributions in different parts of the U.S. including climatic, topographic, soil, land use, and anthropogenic factors. The outputs of these... Categories: Data; Tags: Aegopodium podagraria, Joshua Tree National Park, Joshua Tree National Park, CA, Pennisetum setaceum, Pictured Rocks National Lakeshore, All tags... Pictured Rocks National Lakeshore, MI, SAHM, Software for Assisted Habitat Modeling, Species Distribution modeling, USGS Science Data Catalog (SDC), VisTrails, biota, fountaingrass, goutweed, habitat suitability, 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 Average projected future (across 5 regional climate models using the A2 emissions scenario) density (birds per hectare) model of Brown Creeper for the years 2041-2070 Average projected future (across 5 regional climate models using the A2 emissions scenario) density (birds per hectare) model of Brown Creeper (Certhia americana) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from 1) Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3); 2) Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Community Climate System Model (CCSM); 3) Regional Climate Model v3 (RCM3) with boundary conditions driven by the Geophysical Fluid Dynamics Laboratory Global... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, NPLCC, Oregon, Washington, birds, All tags... boosted regression tree model, climate change, species distribution modeling, Fewer tags Future density (birds per hectare) model of Scrub Jay (Aphelocoma californica):Third Generation Coupled Global Climate Model (CGCM3) Future density (birds per hectare) model of Scrub Jay (Aphelocoma californica) using a Boosted Regression Tree model (Hastie & Tibshirani 2000) informed by breeding season avian point count data, modeled vegetation types, and climate data from the Weather Research Forecasting Grell Model (WRFG) with boundary conditions driven by the Third Generation Coupled Global Climate Model (CGCM3) averaged for the years 2041-2070 and available from http://www.narccap.ucar.edu/. Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: California, NPLCC, Oregon, Washington, birds, All tags... boosted regression tree model, climate change, species distribution modeling, Fewer tags 1 2 »