These data represents the results of vegetation plots in west-slope Sierra Nevada forests. There is accompanying point count surveys for birds (see Central Sierra Hardwood Study - Birds) made at these survey plots. Please be aware that the coordinates of the points displayed in the text data display of this data set are California Teale-Albers NAD27 projection, but that the data point viewer displays these data points and the background layers in California Teale-Albers NAD83 projection. TIME PERIOD COVERED. These data were collected during 2002 and 2003 between June-August by field crews working for California Department of Fish and Game.GEOGRAPHIC EXTENT OF THE RECORDS. Vegetation plots extend from El Dorado to Tuolumne counties in the central Sierra Nevada between 2000-6000 ft elevation.NUMBER OF RECORDS. There are 64 stands with habitat attributes measured from 3-4 0.2-acre sampling plots per stand. BASE DATA STRUCTURE. The file is a flat table which gives vegetation attributes for each stand. Each stand is represented by two key fields called "Quad" and "Grid" which relate these habitat records to bird survey data collected in 2003 from the same sample stands. WHAT EACH RECORD REPRESENTS. Each record in the table represents the stands site attributes, habitat attributes, and California Wildlife Habitat (CWHR) classification type. Average values for each stand represent the grand mean of average values from the 3-4 plots measured at each sample stand or the average of single measurements of attributes from the 3-4 plots measured at each sample stand.

These data represents the results of vegetation plots in west-slope Sierra Nevada forests. There is accompanying point count surveys for birds (see Central Sierra Hardwood Study - Birds) made at these survey plots. Please be aware that the coordinates of the points displayed in the text data display of this data set are California Teale-Albers NAD27 projection, but that the data point viewer displays these data points and the background layers in California Teale-Albers NAD83 projection. TIME PERIOD COVERED. These data were collected during 2002 and 2003 between June-August by field crews working for California Department of Fish and Game.GEOGRAPHIC EXTENT OF THE RECORDS. Vegetation plots extend from El Dorado to Tuolumne counties in the central Sierra Nevada between 2000-6000 ft elevation.NUMBER OF RECORDS. There are 64 stands with habitat attributes measured from 3-4 0.2-acre sampling plots per stand. BASE DATA STRUCTURE. The file is a flat table which gives vegetation attributes for each stand. Each stand is represented by two key fields called "Quad" and "Grid" which relate these habitat records to bird survey data collected in 2003 from the same sample stands. WHAT EACH RECORD REPRESENTS. Each record in the table represents the stands site attributes, habitat attributes, and California Wildlife Habitat (CWHR) classification type. Average values for each stand represent the grand mean of average values from the 3-4 plots measured at each sample stand or the average of single measurements of attributes from the 3-4 plots measured at each sample stand.

This dataset provides maps of aboveground forest biomass (AGB) of living trees and standing dead trees in Mg/ha across portions of Northwestern United States, including Washington, Oregon, Idaho, and Montana, at a spatial resolution of 30 m. Forest inventory data were compiled from 29 stakeholders that had overlapping lidar imagery. The collection totaled 3805 field plots with lidar imagery for 176 collections acquired between 2002 and 2016. Plot-level AGB estimates were calculated from tree measurements using the default allometric equations found in the Fire Fuels Extension (FFE) of the Forest Vegetation Simulator (FVS). The random forest algorithm was used to model AGB from lidar height and density metrics that were generated from the lidar returns within fixed-radius field plot footprints, gridded climate metrics obtained from the Climate-FVS Ready Data Server, and topographic estimates extracted from Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global elevation rasters. AGB was then mapped from the same lidar metrics gridded across the extent of the lidar collections at 30-m resolution. The standard deviation of estimated AGB of the terminal nodes from the random forest predictions was also mapped to show pixel-level model uncertainty. Note that the AGB estimates are, for the most part, a single snapshot in time and that the forest conditions are not necessarily representative of the larger study area.

TIME PERIOD COVERED These data were collected between May-July 2004 by field crews working for California Department of Fish and Game. GEOGRAPHIC EXTENT OF THE RECORDS Vegetation plots occur in two study areas on public lands in Yuba and Tehama Counties in the Sierra Nevada foothills. NUMBER OF RECORDS There are 183 records with habitat attributes measured from 0.05 - 0.10 hectare sampling plots. BASE DATA STRUCTURE The file is a flat Excel table which gives vegetation attributes for each habitat plot. Each habitat plot is represented by two key fields called "SAMPLE_ID" and "PLOT_NUM" which relate these habitat records to bird and herpetile survey data collected in the same year from the same sample points. WHAT EACH RECORD REPRESENTS Each record in the table represents the average values for habitat attributes from plots that can be linked with bird count data from the same points. Average values for each sample represent the mean of average values from 3 habitat plots measured at each point.

This data set provides estimates of aboveground biomass (AGB) for defined land cover types within World Wildlife Fund (WWF) ecoregions across the boreal biome of Alaska and western and eastern Canada, roughly between 45 and 70 degrees N. The study focused on within-growing-season data, i.e. leaf-on conditions.The AGB estimates were derived from a series of models that first related ground-based measured biomass to Portable Airborne Laser System (PALS) LiDAR measurements, and a second set of models that related the airborne estimates of biomass to Geoscience Laser Altimeter System (GLAS) LiDAR canopy structure measurements. The GLAS LiDAR biomass estimates were extrapolated by land cover types and ecoregions across the entire biome area.The study compiled remotely sensed forest structure data collected in June of 2005 and 2006 from the GLAS LiDAR instrument aboard the NASA Ice, Cloud, and land Elevation (ICESat) satellite and from the PALS airborne instrument flown at various times from 2005-2009 over both the ground plots and the ICESat GLAS flight path. For a consistent biome-level analysis, ecoregions contained within the boreal forest biome were identified by the World Wildlife Fund's (WWF) ecoregion map of the world (Olson et al., 2001). Land cover maps were used to identify land cover types for stratification purposes within eco-regions. Land cover data for Canada were provided by the Earth Observations for Sustainable Development (EOSD) project centered on year 2000, with images from 1999 to 2002. The National Land Cover Data (NLCD) 2001 classification was used for Alaska based on data collected between 1999 and 2004. The ground-based measurements are not provided with this data set.

This dataset represents the characterization of global forest extent and change by year from 2001 through 2013 within individual local NHDPlusV2 catchments and upstream, contributing watersheds based on the Global Forest Change 2000-2013. These data are based on global tree cover loss for the period from 2001 to 2013 at a spatial resolution of 30m. The analysis used to create the landscape layer is based on Landsat data. Forest loss was defined as a stand-replacement disturbance or the complete removal of tree cover canopy at the Landsat pixel scale. This landscape layer is a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1, representing loss detected primarily in the year 2000-2013, respectively. The forest loss by year characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.

TIME PERIOD COVERED These data were collected between May-July 2004 by field crews working for California Department of Fish and Game. GEOGRAPHIC EXTENT OF THE RECORDS Vegetation plots occur in two study areas on public lands in Yuba and Tehama Counties in the Sierra Nevada foothills. NUMBER OF RECORDS There are 183 records with habitat attributes measured from 0.05 - 0.10 hectare sampling plots. BASE DATA STRUCTURE The file is a flat Excel table which gives vegetation attributes for each habitat plot. Each habitat plot is represented by two key fields called "SAMPLE_ID" and "PLOT_NUM" which relate these habitat records to bird and herpetile survey data collected in the same year from the same sample points. WHAT EACH RECORD REPRESENTS Each record in the table represents the average values for habitat attributes from plots that can be linked with bird count data from the same points. Average values for each sample represent the mean of average values from 3 habitat plots measured at each point.

This dataset represents the characterization of global forest extent and change by year from 2001 through 2013 within individual local and accumulated upstream catchments for NHDPlusV2 Waterbodies based on the Global Forest Change 2000, 2013, 2013. Catchment boundaries in LakeCat are defined in one of two ways, on-network or off-network. The on-network catchment boundaries follow the catchments provided in the NHDPlusV2 and the metrics for these lakes mirror metrics from StreamCat, but will substitute the COMID of the NHDWaterbody for that of the NHDFlowline. The off-network catchment framework uses the NHDPlusV2 flow direction rasters to define non-overlapping lake-catchment boundaries and then links them through an off-network flow table. These data are based on global tree cover loss for the period from 2001 to 2013 at a spatial resolution of 30m. The analysis used to create the landscape layer is based on Landsat data. Forest loss was defined as a stand-replacement disturbance or the complete removal of tree cover canopy at the Landsat pixel scale. This landscape layer is a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1, 201313, representing loss detected primarily in the year 2001, 2013, 2013, respectively. The forest loss by year characteristics (%) were summarized to produce local catchment-level and watershed-level metrics as a continuous data type.