The wildland-urban interface (WUI) is the area where houses meet or intermingle with undeveloped wildland vegetation. This makes the WUI a focal area for human-environment conflicts such as wildland fires, habitat fragmentation, invasive species, and biodiversity decline. Using geographic information systems (GIS), we integrated U.S. Census (2020) and USGS National Land Cover Data (2019), to map the Federal Register definition of WUI (Federal Register 66:751, 2001) for the conterminous United States. These data are useful within a GIS for mapping and analysis at national, state, and local levels.
Many managers face the challenge of monitoring rates of visitor encounters in wilderness. This study, conducted in 1991 at Alpine Lakes Wilderness in Washington State: (1) provides estimates of encounter rates through use of several monitoring methods, (2) determines the relationship between the various measures of encounter rates, and (3) determines the relationship between various indirect predictors of encounter rates and actual encounter rates. In order to develop a better understanding of the relationship between these various monitoring methods, this study used exit surveys, trip diaries, wilderness ranger observations, trained observers, mechanical counters, trailhead count observations, and parking lot vehicle counts.
This spatial database of wildfires that occurred in the United States from 1992 to 2015. It includes 1.88 million geo-referenced wildfire records, representing a total of 140 million acres burned during the 24-year period. Wildfire records were acquired from federal, state, and local fire reporting systems. Core data elements are: discovery date, final fire size, and a point location at least as precise as Public Land Survey System (PLSS) section (1-square mile grid). The data were transformed to conform, when possible, to the data standards of the National Wildfire Coordinating Group (NWCG). Basic error-checking was performed and redundant records were identified and removed, to the degree possible.
Grassland birds construct nests on the ground that are generally well camouflaged by surrounding vegetation. Consequently, their nesting ecology has been more difficult to observe than the ecology of cavity- or shrub-nesting birds. Using video cameras to record behavior of adults and nestlings helps improve our understanding of nesting ecology. This, in turn, improves our management insights and facilitates placing the nesting ecology of grassland birds in the broader context of the nesting ecology of birds. Each of the 20 MP4 videos has a brief description in the included catalog. These fascinating videos document the authors’ insights on the nesting ecology of grassland birds in Wisconsin, USA, and Alberta, Canada.
Federal wildfire managers often want to know, over large landscapes, where wildfires are likely to occur and how intense they may be. This wildfire hazard potential (WHP) map is a raster geospatial product that helps inform evaluations of wildfire risk, or prioritization of fuels management needs, across very large spatial scales (millions of acres). Our objective was to depict the relative potential for wildfire that would be difficult to contain. To create the 2018 version, we built on spatial estimates of wildfire likelihood and intensity generated in 2016 with the Large Fire Simulation system (FSim), as well as spatial fuels and vegetation data from LANDFIRE 2012 and point locations of fire occurrence from FPA (ca. 1992 – 2013). The map uses five WHP classes: very low, low, moderate, high, and very high.
These data document detections of birds in canyons throughout four mountain ranges in the central Great Basin (Lander, Nye, and Eureka counties, Nevada): the Shoshone Mountains, Toiyabe Range, Toquima Range, and Monitor Range. Data were collected during the 2002-2015 breeding seasons, inclusive, and in 2018. These data complement those in Fleishman 2019, which included detections of breeding birds during fixed-radius point counts within 100 meters of the observer. The new data allow more-complete documentation of the composition and distribution of the local / regional avifauna than is possible with fixed-radius point-count data alone. Data include species detected, date of detection, and, in most cases, method of detection and either coordinates or an approximate location.
Ever wonder how science knows what it knows? Mostly by thinking about observations made on the natural world, also known as data. The roots of our research are in the data we collect. Short-term sharing of research data is important for the transparency and reproducibility of the research results our scientists publish in research papers. Preserving these data for long-term use is important to being able to re-use the data for multiple purposes. The FS Research Data Archive offers a catalog of hundreds of research datasets funded by Forest Service Research and Development (FS R&D) or by the Joint Fire Science Program (JFSP). Of special interest, our collection includes long-term datasets from a number of Forest Service Experimental Forests, Ranges, and Watersheds (FS EFRs).
Data publications listed in the catalog are publicly available either from us or another scientific data repository (the publication description page will include a link to the dataset’s location if in a different repository). Each published dataset comes with a complete set of metadata (data documentation) and other information the scientist considered important to understanding and successfully using the data. Most data publications that we have released are downloadable; others have a database query interface to help you get that part of the large dataset which is of interest to you. Some data are also available through a map service. Check out the catalog and discover if there are data of interest to you!
If you have questions, please contact the Archive team.