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In cooperation with the Puerto Rico Environmental Quality Board, the U.S. Geological Survey (USGS) calculated over 40 different basin characteristics as part of preparing the Puerto Rico StreamStats application. These data were used to update the peak flow and low flow regression equations for Puerto Rico. These datasets are raster representations of various environmental, geological, and land use attributes within the Puerto Rico StreamStats 2020 study area, and will be served in the Puerto Rico StreamStats 2020 application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and...
Categories: Data; Types: Downloadable, GeoTIFF, Map Service, Raster; Tags: Atmosphere, Hydrology, Precipitation, Precipitation Frequency, Puerto Rico, All tags...
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A green-tree reservoir (GTR) is a stand of bottomland hardwoods that is intentionally flooded in the fall and winter to support migrating waterfowl. Bottomland hardwood forest plots in the GTR on Felsenthal National Wildlife Refuge (FNWR) are measured every 5-6 years to monitor tree survival, growth, and mortality. This dataset presents the measurements of all the trees in 54 plots during the year 2006. Parameters measured are species, diameter, vigor class, canopy class, and whether or not the tree is a new recruit in 2006. These parameters are defined in the Entity and Attributes section of this metadata file. Additional Information: A series of square 0.1 ha (31.6 m X 31.6 m) permanent plots was previously established...
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Vegetation change is an important issue facing managers at Isle Royale National Park (ISRO). These data were created using high-resolution imagery collected in the winter of 2017 which was compared to the vegetation map of the National Park published in 2000 (project imagery collected in 1994 and 1996). These data review where vegetation cover type, density, and pattern have changed since imagery collection for the 2000 publication and provide a proposed reason for the change.
The red-backed salamander (Plethodon cinereus) is considered an indicator of forest health. The range of the species covers much of the eastern and central US, and is often locally abundant where it occurs, primarily in deciduous forest. While there are expectations that changes in climate will result in changes in forest ecosystems, the ability of a forest indicator such as the red-backed salamander to adapt to those changes, has not been assessed. We found that the red-backed salamander may have little adaptive capacity, but that changes in climate conditions may be buffered by salamander behavior, including its typical response to retreat underground during times of high temperature or during short-term drought....
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This dataset depicts forest fragmentation in central Africa by roads (excluding roads). This study, or Pilot Analysis of Global Ecosystems (PAGE), examines forest ecosystems of the world using a large collection of spatial and temporal data. This study analyzes datasets at the global, national, and subnational levels, and draws on published and unpublished scientific studies. It develops selected indicators that describe the condition of the world's forests, where condition is defined as the current and future capacity of forests to provide the full range of goods and services that humans need and consume.
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These datasets provide spatially-explicit estimates of the magnitude of giant sequoia foliage dieback along selected trail corridors in Sequoia and Kings Canyon national parks, California, from 2014 through 2017. They additionally provide giant sequoia tree-ring measurements, through the year 1989, for two locations in the Giant Forest grove, Sequoia National Park, California. These data support the following publications: Nathan L. Stephenson, Adrian J. Das, Nicholas J. Ampersee, Kathleen G. Cahill, Anthony C. Caprio, John E. Sanders, A. Park Williams, Patterns and correlates of giant sequoia foliage dieback during California’s 2012–2016 hotter drought, Forest Ecology and Management, Available online 7 November...
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These data consist of environmental covariates and estimated plot-level mortality of ponderosa pine trees. Environmental covariates include growing season temperature and soil moisture, and values are summarized into long-term mean conditions, and anomalies observed between forest inventory sampling events for each plot. Data also include plot locations (with uncertainty introduced by the US Forest Service to maintain private property rights), plot basal area, and several variables related to estimated mortality rate of ponderosa pine trees under various assumptions about basal area conditions.
Categories: Data; Tags: Arizona, Botany, California, Climatology, Colorado, All tags...
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The Great Dismal Swamp (the swamp) is a forested peatland in southeastern Virginia and northeastern North Carolina. Since early colonial times, timber harvesting and drainage through a network of ditches constructed to facilitate the harvesting have altered these ecosystems. The U.S. Fish and Wildlife Service has managed the swamp as the Great Dismal Swamp National Wildlife Refuge since 1974 to restore its forest communities to those present in early colonial times. Part of the approach to forest restoration has been to "restore the hydrology." The report by Speiran and Wurster (2020) describes the hydrology and water quality across the swamp. Part of the data used to describe the hydrology and water quality of...
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Most of these data were collected in order to create a database of tree locations for use in calibrating remote sensing tools and products, particularly dead tree detection tools and canopy species maps. Data include tree locations, species identification, and status (live, dead, and, if dead, sometimes includes information on foliage and twig retention). They are a collection of different sampling efforts performed over several years, starting in a period of severe drought mortality. One csv table is included that shows data and validation results for an additional dataset that was used to test the NAIP derived dead tree detection model that is associated with this data release. Locations are not included for that...
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Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring forest carbon sequestration capacity, assessing forest carbon balance, and revealing changes in the structure and function of forest ecosystems. When AFB is measured at the species level using widely available remote sensing data, regional changes in forest composition can readily be monitored. In this study, wall-to-wall maps of species-level AFB were generated for forests in Northeast China by integrating forest inventory data with Moderate Resolution Imaging Spectroradiometer (MODIS) images and environmental variables through applying the optimal k-nearest neighbor (kNN) imputation model....
This map depicts the forested regions in the western United States. Data was obtained from the the Sagestitch map and other state-level GAP land cover maps and merged into 90m raster dataset.
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These data were compiled in support of the 'Predicting the next high-impact insect invasion: Elucidating traits and factors determining the risk of introduced herbivorous insects on North American native plants' project, supported by the U.S. Geological Survey John Wesley Powell Center for Analysis and Synthesis. The project working group compiled data for non-native insects herbivorous on one North American hardwood (i.e., woody angiosperm) family. Data were synthesized from existing resources for a variety of insect traits, traits of their North American hardwood host plants, divergence time between the North American host species and the host species in the insects' native range, and native insects that feed...
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Values for predicted probabilities of avian species occupancy were determined using colonization-extinction models (MacKenzie and others, 2003) as implemented in R (Version 3.4.4; https://www.r-project.org/) via the ‘colext’ function of the Unmarked package (Version 0.12-0; Fiske and Chandler 2011). Performance of a null model (without covariates) and 153 additional models that assessed the effects of geographic coordinates and habitat context covariates were evaluated using Akaike information criteria (AIC; Burnham and Anderson, 2002). When more than one model had substantial support, their respective model weights were used to spatially predict occupancy relative to covariate influence. Predictive model covariates...
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Dataset contains 32 terrestrial lidar scans of conifer forests and associated shapefile of locations in Sequoia and Kings Canyon National parks from the summer of 2022. These scans were co-located within field plots from a larger ongoing U.S. Geological Survey (USGS) project collecting wildfire fuels and forest structure data (informally known as the Fire and Fuels Project). These data can also be found in a USGS Earth Resources Observation and Science (EROS) database named IntELiMon (https://dmsdata.cr.usgs.gov/lidar-monitoring/viewer/).
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We used murrelet occupancy data collected by the Bureau of Land Management Coos Bay District and canopy metrics calculated from discrete return airborne LiDAR data to fit a logistic regression model predicting the probability of occupancy. Our final model for stand-level occupancy included distance to coast and 5 LiDAR-derived variables describing canopy structure. This dataset is a shapefile of forest stands in the Coos Bay district representing the model results.
map background search result map search result map Central Africa: Forest Fragmentation by Roads (excluding roads) Proportion of Conifer Forest Land Cover (1-km scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Conifer Forest Land Cover (5-km scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Conifer Forest Land Cover (270-m scale) in the Wyoming Basins Ecoregional Assessment area Forested Areas in the Western United States Final NPLCC Project Report - NPLCC Cross-Border Final Report & Appendices 2014 Data Integration Workshop in Support of the Coastal Temperate Rainforest of Southeast Alaska and British Columbia Final Report Sequoia foliage dieback and tree-ring data from Sequoia National Park Basin Characteristic Rasters for Puerto Rico StreamStats, 2021 Data release for: Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in Northeast China Felsenthal National Wildlife Refuge green-tree reservoir 2006 forest plot measurements Hydrologic, water-quality, fire, forest-cover, and other data, the Great Dismal Swamp, Virginia and North Carolina Predicted Avian Species Occupancy, Area of Sustainable Forest Habitat, and Area of Occupied Habitat within the Mississippi Alluvial Valley Bird Conservation Region Traits and Factors Catalog (TRAFAC): Hardwood specialists of North America Estimated tree mortality, basal area, climate, and drought conditions for ponderosa pine in forest inventory plots across the western U.S. Forest stands and LiDAR derived model estimates of marbled murrelet (Brachyramphus marmoratus) occupancy in the Coos Bay BLM District, Southwestern Oregon Terrestrial Lidar Scans of Conifer Forests in Sequoia and Kings Canyon National Parks, 2022 Dead Tree Detection Validation Data from Sequoia and Kings Canyon National Parks Isle Royale National Park Vegetation Change Analysis 1996 to 2017 - Selected Sites Terrestrial Lidar Scans of Conifer Forests in Sequoia and Kings Canyon National Parks, 2022 Hydrologic, water-quality, fire, forest-cover, and other data, the Great Dismal Swamp, Virginia and North Carolina Dead Tree Detection Validation Data from Sequoia and Kings Canyon National Parks Felsenthal National Wildlife Refuge green-tree reservoir 2006 forest plot measurements Sequoia foliage dieback and tree-ring data from Sequoia National Park Isle Royale National Park Vegetation Change Analysis 1996 to 2017 - Selected Sites Basin Characteristic Rasters for Puerto Rico StreamStats, 2021 Forest stands and LiDAR derived model estimates of marbled murrelet (Brachyramphus marmoratus) occupancy in the Coos Bay BLM District, Southwestern Oregon Final NPLCC Project Report - NPLCC Cross-Border Final Report & Appendices 2014 Data Integration Workshop in Support of the Coastal Temperate Rainforest of Southeast Alaska and British Columbia Final Report Predicted Avian Species Occupancy, Area of Sustainable Forest Habitat, and Area of Occupied Habitat within the Mississippi Alluvial Valley Bird Conservation Region Proportion of Conifer Forest Land Cover (1-km scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Conifer Forest Land Cover (5-km scale) in the Wyoming Basins Ecoregional Assessment area Proportion of Conifer Forest Land Cover (270-m scale) in the Wyoming Basins Ecoregional Assessment area Estimated tree mortality, basal area, climate, and drought conditions for ponderosa pine in forest inventory plots across the western U.S. Data release for: Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in Northeast China Central Africa: Forest Fragmentation by Roads (excluding roads) Forested Areas in the Western United States Traits and Factors Catalog (TRAFAC): Hardwood specialists of North America