Filters: partyWithName: Todd J Hawbaker (X) > partyWithName: Ecosystems (X)

Filters Date Range Past year (1) Past month (0) Past week (0) Past day (0) Custom range... To   Search Contacts Paul D Henne U.S. Geological Survey - ScienceBase Geosciences and Environmental Change Science Center U.S. Geological Survey Zhiliang Zhu More... Categories Data (2) Tag Types Theme (6) USGS Scientific Topic Keyword (6) Place (5) Harvest Set (6) Tag Schemes None (6) Geographic Names Information System (GNIS) (1) USGS Thesaurus (2) ISO 19115 Topic Category (3) ISO 19115 Topic Categories (1) Alexandria Digital Library Feature Type Thesaurus (1) Marine Realms Information Bank (MRIB) keywords (1) More... View Results as: JSON ATOM CSV

Simulated annual area burned for eleven extensively forested ecoregions in the western United States for 1980 - 2099 This data release provides output produced by a statistical, aridity threshold fire model for 11 extensively forested ecoregions in the western United States. We identified thresholds in fire-season climate water deficit (FSCWD) that distinguish years with limited, moderate, and extensive area burned for each ecoregion. We developed a new area burned model using these relationships and used it to simulate annual area burned using historical climate from 1980 - 2020 and output from global climate models (GCMs) from 1980 - 2099. The data release includes a comparison of mean annual FSCWD for 13 GCMs that we used to select five GCMs that bracket the range of conditions projected for the RCP 8.5 emissions scenario.... Tags: Area burned model, Climate change, Climatic water deficit, Ecology, Ecoregions, All tags... Global climate models, Southern Rocky Mountains, USGS Science Data Catalog (SDC), United States, Wildfire, Fewer tags Landscape inputs and simulation output for the LANDIS-II model in the Greater Yellowstone Ecosystem This data release provides inputs needed to run the LANDIS-II landscape change model, NECN and Base Fire extensions for the Greater Yellowstone Ecosystem (GYE), USA, and simulation results that underlie figures and analysis in the accompanying publication. We ran LANDIS-II simulations for 112 years, from 1988-2100, using interpolated weather station data for 1988-2015 and downscaled output from 5 general circulation models (GCMs) for 2016-2100. We also included a control future scenario with years drawn from interpolated weather station data from 1980-2015. Model inputs include raster maps (250 × 250 m grid cells) of climate regions and tables of monthly temperature and precipitation for each climate region. We... Tags: Ecology, Ecosystem carbon, Forestry, General circulation models, Greater Yellowstone Ecoystem, All tags... Idaho, USA, LANDIS-II, Landsat, Landscape change model, Montana, USA, Pinus contorta, Pseudotsuga menziesii, Rocky Mountains, USGS Science Data Catalog (SDC), Vegetation imputation, Wildfire, Wyoming, USA, Yellowstone National Park, aboveground forest biomass, forest ecosystems, Fewer tags Modeling data for burn severity of the East Troublesome and Grizzly Creek for integration with post-fire debris flow in the upper Colorado River basin, USA These data were compiled for/to provide an example and assess methods and results of pre-fire estimation of predicted differenced normalized burn ration (dNBR) for predicting post-fire debris flow hazard classification. Objective(s) of our study were to develop predictive models for burn severity, using variables of pre-fire conditions, for two large wildfires from 2020 in Colorado, USA. These data represent pre-fire predictions of post-fire differenced normalized burn ratio (dNBR) as a proxy of burn severity and further understand pre-fire modeling of burn severity. These data were collected/created in the fire perimeters the East Troublesome Fire (10/14/2020 – 11/30/2020) and the Grizzly Creek Fire (8/10/2020... Tags: Arapaho National Forest, Botany, Colorado, East Fork Troublesome Creek, East Troublesome Fire, All tags... Ecology, Estes Park, Forestry, Garfield County, Geography, Glenwood Canyon, Glenwood Springs, Granby, Grand County, Grand Lake, Grizzly Creek, Grizzly Creek Fire, Information Sciences, Kremmling, Remote Sensing, Rocky Mountain National Park, Soil Sciences, USGS Science Data Catalog (SDC), Water Resources, White River National Forest, biota, burn severity, dNBR, data release, debris flow, differenced normalized burn ratio, environment, fire damage, fire perimeters, fires, fuel, hazards, landslides, machine learning, modeling, post-fire differenced normalized burn ratio, post-fire hazard, pre-fire conditions, pre-fire estimation, pre-fire modeling, pre-fire predictions, predicted differenced normalized burn ration, predictive models, random forest modeling, remote sensing, volume of debris flow, water quality, wildfire, wildland fire, Fewer tags The Wildfire Hazard and Risk Assessment Inventory The Department of the Interior (DOI) Office of Wildland Fire and USGS created the The Wildfire Hazard and Risk Assessment Inventory to meet the Monitoring, Maintenance, and Treatment Plan requirements under the Bipartisan Infrastructure Law (BIL). It provides an inventory of key national, regional, and state wildfire risk and fire hazard assessments useful for understanding different characterizations of fire risk. Some of the assessments may be useful for communicating contributions toward risk reduction of treatments funded by DOI, including investments under BIL. For each assessment, the inventory provides a description and information about the spatial extent, resolution, fire modeling approach, values considered... Categories: Data; Tags: Climatology, Ecology, Forestry, Geography, Information Sciences, All tags... Land Use Change, USGS Science Data Catalog (SDC), Water Quality, Water Resources, Wildlife Biology, biota, risk and hazard assessment, wildfire, wildland fire, Fewer tags Restoration and Conservation Opportunity Maps for the conterminous U.S. (CONUS) Nature-based solutions is a leading policy option for mitigating climate change. We mapped areas of potential restoration and conservation opportunities in the conterminous U.S. (CONUS). The potential for five scenarios were examined: increasing forest cover in urban centers, restoring historically forested areas that have been converted to grasslands, conserving pristine grasslands, rewetting peatlands, and conserving vulnerable tidal wetlands. Tags: Ecology, Environmental Health, Forestry, Hydrology, Land Use Change, All tags... Remote Sensing, USGS Science Data Catalog (SDC), United States, conservation, environment, grassland, grassland ecosystems, natural resource management, peatland, reforestation, remediation, restoration, wetland, wetland restoration, wetlands, Fewer tags Data inputs and outputs for simulations of species distributions in response to future fire size and climate change in the boreal-temperate ecotone of northeastern China This data release provides inputs needed to run the LANDIS PRO forest landscape model and the LINKAGES 3.0 ecosystem process model for the temperate-boreal ecotone Great Xing’an Mountains of northeastern China, and simulation results that underlie figures and analysis in the accompanying publication. The study compared the impacts of small and large fires on vegetation dynamics. The data release includes input data for LINKAGES including soils, landtype, and climate data; initial conditions of stands in the study area for LANDIS PRO; and maps of LANDIS PRO output for each model grid cell including total trees, total biomass (Mg/ha), and tree density (trees/ha) in ten-year timesteps. Output for four climate and fire... Categories: Data; Tags: China, Ecology, Forestry, Great Xing 'an Mountains, LANDIS PRO, All tags... Landscape change model, USGS Science Data Catalog (SDC), Wildfire, aboveground forest biomass, biota, fire size, forest ecosystems, Fewer tags