Keyword: Inventory, Monitoring, & Analysis

Desolation Wilderness: data from 1997-1998 visitor response to fees, fee demonstration project

This data publication contains responses to a 1997-1998 survey of 634 overnight visitors and 789 day-use visitors to Desolation Wilderness in the Sierra Nevada of northern California. This mailback survey addressed visitors' knowledge regarding level of fees, fee administration method, and potential uses of fees. It was a systematic sample of overnight and day-use permits.

Historical beech and oak forests in Indiana

This data publication contains a shapefile that provides tree percentages for historical beech and oak forests of Indiana. Data provided include the estimated percentage of beech, oak, ash, hickory, and sugar maple found in these forests, between 1799 and 1946, for each township in Indiana. These data were recovered, using unique GIS methods, from historical tree survey information stored in bar chart figures in Potzger et al.

Public purpose recreation marketing data: public and public lands relationships in a 1999 study of Oregon and Washington

In 1999 a case study was conducted to test the application of a marketing approach to public land management. A region-wide revision in the existing fee program in the Pacific Northwest region of the Forest Service, specifically Oregon and Washington, provided an opportunity to test this application (Borrie et al. 2002).

Raster surfaces created from the mapping of longleaf extent and condition using Landsat and FIA data project

This data publication contains nine GeoTIFF files for the Fort Stewart-Altamaha significant geographic area (SGA) in Georgia. The extent of the SGA is defined within the America’s Longleaf Range-wide Conservation Plan for Longleaf (2009).

Northern Arizona, USA, post-wildfire avian data: western bluebird detection/non-detection and banding data

Western bluebird (Sialia mexicana) population data were collected in northern Arizona, USA, following two wildfires (Hochderferr Fire, Horseshoe Fire) that occurred in May and June 1996. This is a data subset consisting of 8 years of bird data collection post-wildfire (1999-2006) and 3 years of vegetation data (2002, 2005, 2006), and is part of a larger long-term data set.

Species occurrence data from the aquatic eDNAtlas database

The eDNA samples in the eDNAtlas database describe species occurrence locations and were collected by the U.S. Forest Service and numerous agencies that have partnered with the National Genomics Center for Wildlife and Fish Conservation (NGC) throughout the United States. This project began in 2015, but updates will include legacy data that were collected using the same protocol. The eDNAtlas database consists of three feature classes.

Dendroctonus pseudotsugae (Coleoptera: Curculionidae: Scolytinae) sequential sampling data

The Douglas-fir beetle, Dendroctonus pseudotsugae Hopkins, attacks Douglas-fir, Pseudotsuga menziesii (Mirb.) Franco (Pinaceae), throughout western North America. Periodic outbreaks cause increased mortality of its host. Bark samples were obtained from 326 trees distributed over 21 stands during a 2-year period in the late winter to early spring of 1997 and 1998 in the Colorado Front Range.

Vegetation, soils, and landscape data for experimental rehabilitation of slash pile fire scars in conifer forests of the Front Range, Colorado

Drastic changes in soil physical, chemical, and biotic properties following slash pile burning and their lasting effects on vegetation cover have been well documented in western North American ecosystems. However, processes that inhibit burn scar recovery are poorly understood as are the most effective means for their rehabilitation.

Fire Lab tree list: A tree-level model of the conterminous United States landscape circa 2014

Observations of the forests of the conterminous United States at the level of individual trees would be of utility for any number of applications, ranging from modelling the effect of wildland fire on terrestrial carbon resources to estimation of timber volume. While such observations do exist at selected spots such as established forest plots, most forests have not been mapped with this level of specificity.

Digital surface, terrain, and canopy height models for Moscow Mountain in 2009

This data publication contains three digital rasters with a spatial resolution of one meter: 1) a digital surface model (DSM), which represents the highest lidar return in each grid cell; 2) a digital terrain model (DTM), a representation of the ground surface with vegetation and other non-ground returns removed; and 3) a canopy height model (CHM), a representation of the height of vegetation above the ground surface.