Filters: Tags: forest ecosystems (X) > Categories: Data (X) > Types: Downloadable (X)
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This data set represents initial forest communities developed for Isle Royale National Park. LANDIS-II requires an input data layer that contains the ages of each species cohort present within each cell of the landscape. To develop this layer, we matched the composition of forest inventory plots to a map of forest types, and randomly imputed U.S. Department of Agriculture Forest Inventory plots within each matching forest type
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Forest Succession,
Isle Royale National Park,
Lake Superior,
Michigan,
USGS Science Data Catalog (SDC),
Proportion of conifer forest land cover within a 18-km radius developed using a circular focal moving window analysis.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Idaho,
Montana,
United States,
Utah,
Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife,...
Categories: Data;
Types: ArcGIS Map Package,
Citation,
Downloadable;
Tags: Connectivity,
Environment and Conservation,
Forests,
Grasslands and Plains,
Idaho,
We developed a LiDAR-based habitat model for the threatened Marbled Murrelet (MAMU) in the Siuslaw National Forest, Oregon, using a two-step approach. First, we tested the applicability of the LiDAR-based model developed for the Coos Bay District of the Bureau of Land Management (BLM) to the Siuslaw N.F. In the second step, we tested alternative habitat models developed with forest structural data and Murrelet survey data from the Siuslaw N.F. We compared the performance of each model to provide forest managers with the best predictive tool to guide habitat management for the Marbled Murrelet. This shapefile contains the probability of Marbled Murrelet occupancy values of each model for vegetation polygons defined...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Ecology,
Forestry,
Land Use Change,
Oregon,
Oregon Coast Range,
Proportion of conifer forest land cover within a 3-km radius developed using a circular focal moving window analysis.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster,
Shapefile;
Tags: Colorado,
Idaho,
Montana,
United States,
Utah,
Proportion of conifer forest land cover within a 540-m radius developed using a circular focal moving window analysis.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Idaho,
Montana,
United States,
Utah,
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,
Proportion of conifer forest land cover within a 5-km radius developed using a circular focal moving window analysis.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Idaho,
Montana,
United States,
Utah,
Proportion of conifer forest land cover within a 270-m radius developed using a circular focal moving window analysis.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Idaho,
Montana,
United States,
Utah,
Proportion of conifer forest land cover within a 1-km radius developed using a circular focal moving window analysis.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Idaho,
Montana,
United States,
Utah,
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...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: California,
Forestry,
Kings Canyon National Park,
Sequoia National Park,
Sierra Nevada,
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.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Idaho,
Montana,
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/).
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Ecology,
Forestry,
Kings Canyon National Park,
Remote Sensing,
Sequoia National Park,
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.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Coos Bay,
Ecology,
Forestry,
Oregon,
Oregon Coast Range,
These data support poscrptR (Wright et al. 2021). poscrptR is a shiny app that predicts the probability of post-fire conifer regeneration for fire data supplied by the user. The predictive model was fit using presence/absence data collected in 4.4m radius plots (60 square meters). Please refer to Stewart et al. (2020) for more details concerning field data collection, the model fitting process, and limitations. Learn more about shiny apps at https://shiny.rstudio.com. The app is designed to simplify the process of predicting post-fire conifer regeneration under different precipitation and seed production scenarios. The app requires the user to upload two input data sets: 1. a raster of Relativized differenced Normalized...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Botany,
California,
Forestry,
Oregon,
USGS Science Data Catalog (SDC),
Location of conifer forest land cover obtained from the LANDFIRE Existing Vegetation Type dataset
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Idaho,
Montana,
United States,
Utah,
The U.S. Geological Survey's Upper Midwest Environmental Sciences Center (UMESC) is in the process of creating high-resolution land cover/use data sets for the Upper Mississippi River System (UMRS) from 1:24,000-scale color infrared aerial photos collected in 2000. The photos are being interpreted using a 1-hectare 10% minimum vegetation cover to delineate land cover/land use, percent vegetation cover, tree height, and hydrology regime. The geographic extent of the UMRS is the Mississippi River from Cairo, IL to Minneapolis, MN and the Illinois River from its confluence with the Mississippi near Grafton, IL to Lake Michigan.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Illinois,
Iowa,
Mississippi River,
Upper Mississippi River,
aquatic vegetation,
In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters from the National Land Cover Database (NLCD) 2019 as part of updating the South Carolina StreamStats application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats study area, and will be served in the South Carolina StreamStats application (https://www.usgs.gov/streamstats) 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...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Botany,
Ecology,
Forestry,
Hydrology,
Land Use Change,
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