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First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. This dataset is comprised of two different zip files. Zip File 1: The data within this zip file are composed of two wildland fire datasets. (1) A merged dataset consisting of 40 different wildfire and prescribed fire layers. The original 40 layers were all freely obtained from the internet or provided to the authors free of charge with permission to use them. The merged layers were altered to contain a consistent set of attributes including names, IDs, and dates. This raw merged dataset contains all original polygons many of which are duplicates of the same fire. This dataset...
This project consisted of two principal components: (1) A climatological analysis of burn conditions (2) A forum to discuss fire risk and management practices The climatological study included seasonality and inter-annual variability and potential changes due to increasing temperatures. The regional forum engaged stakeholders in a discussion of the use of prescribed fire in a safe and effective manner.
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We compiled and analyzed a database of burn permits for prescribed fires conducted in Florida and Georgia from 2006-2016. The dataset contains the number of permitted burns and expected acres burned by county in the two states for every day in the 11 year period. Also included are the county-wide average daily weather conditions for temperature and relative humidity, calculated from the University of Idaho gridMet dataset.
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Plant cover data were collected in experimental plots at two sites, one at Badlands National Park, South Dakota, and one at Scotts Bluff National Monument, Nebraska. At each site, 40 50 x 50 m plots were assigned randomly to one of the following treatments: control (no action), burn-only (prescribed fire in fall 2016), burn+herbicide (prescribed fire followed by imazapic application in fall 2016), and burn+seed (prescribed fire followed by drilling native grass seed in fall 2016). Pre-treatment data were collected in 2015, and post-treatment data were collected in 2017 and 2018. The dataset includes four tables: (1) plant cover and species richness metrics analyzed in the larger work; (2) plant canopy cover data...
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Fire is a natural and necessary component of the South Central Plains ecosystem. However, fire suppression and more frequent droughts in the region have resulted in a build-up of dry fuels loads such as dead wood, resulting in fires that burn hotter and impact the landscape more severely. Uncontrolled wildfires have cost the region several billion dollars in the past five years. Further, fire suppression has resulted in substantial losses in native plant biodiversity and wildlife habitat, which also has costly implications. In Oklahoma alone, it’s estimated that $157 million will be required to restore rangelands to their native conditions. Of further concern is the fact that projected changes in climate indicate...
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These data are multi-state capture histories of 273 individual San Francisco gartersnakes collected at a site before and after a portion of the site was burned. Data collection began in 2008 and continued until 2013, and the prescribed fire was applied in the fall of 2010. These data support the following paper: Halstead, B. J., Thompson, M. E., Amarello, M. , Smith, J. J., Wylie, G. D., Routman, E. J. and Casazza, M. L. (2018), Effects of prescribed fire on San Francisco gartersnake survival and movement. Jour. Wild. Mgmt.. . doi:10.1002/jwmg.21585
A summary data set of all fire polygons we could locate as of December 2007. We used multiple datasets to develop this layer, including data gathered from the internet, publically available databases, and personal contacts with dozens of agency personnel throught the western U.S. Data were assessed for utility (but not accuracy) and formatted for consistency. Each source data set was then attributed consistently with fields for record number and year (of fire). Because various resource management entities map fires somewhat independently (especially in more recent years) we merged overlapping polygons for each year. Users are encouraged to understand the contents of this data file before using it.
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These data represent tree diameter, species, mortality status, and plot attributes from 164 plots in Sequoia and Kings Canyon national parks, California. Plots were matched with local records of recent fire history to determine burn status and year burned if applicable. These data support the following publication: van Mantgem, P.J., Caprio, A.C., Stephenson, N.L. and Das, A.J., 2021. Forest Resistance to Extended Drought Enhanced by Prescribed Fire in Low Elevation Forests of the Sierra Nevada. Forests, 12(9), p.1248.
A summary data set of all fire polygons we could locate as of December 2007. We used multiple datasets to develop this layer including data gathered from the internet, publically available databases, and personal contacts with dozens of agency personnel throught the western U.S. Data were assessed for utility (but not accuracy) and formatted for consistency. Each source data set was then attributed consistently with fields for record number and year (of fire). Because various resource management entities map fires somewhat independently (especially in more recent years) we merged overlapping polygons for each year. Users are encouraged to understand the contents of this data file before using it.
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In 1996, 400 tree-centered plots were established by first randomly choosing x- and y- coordinates from an imaginary grid overlaying the study area. Each random point was also randomly assigned a tree-size category from a pre-determined sampling scheme. The scheme was to include 20 trees from each of 5 size categories. Size/height categories were: less than 0.1m, 0.1-1m, 1-2m, 2-3m, and greater than 3.0m. To avoid excessive aggregation of samples, no more than 5 trees in a size class could be chosen within a 100-meter sub-area of the sampling grid. The nearest tree to each random point that met the pre-determined size requirement was identified and marked with a permanent aluminum tag. For the size category less...
    map background search result map search result map Western Fire Map (1870-2007) Western Range Fires (1870-2007) Fire Risk Frequency Analysis of the South Central Plains (1996-2015) Coastal California San Francisco Gartersnake Capture-Mark-Recapture Data (2008-2013) Brazoria NWR Prairie Resilience Data Prescribed Fire Permit Records for Georgia and Florida Plant community data for annual brome management experimental plots in grasslands of Badlands National Park, South Dakota, and Scotts Bluff National Monument, Nebraska, 2015-2018 Forest Structure Data for Burned and Unburned Sites at Sequoia and Kings Canyon National Parks Combined wildland fire datasets for the United States and certain territories, 1800s-Present Brazoria NWR Prairie Resilience Data Forest Structure Data for Burned and Unburned Sites at Sequoia and Kings Canyon National Parks Plant community data for annual brome management experimental plots in grasslands of Badlands National Park, South Dakota, and Scotts Bluff National Monument, Nebraska, 2015-2018 Prescribed Fire Permit Records for Georgia and Florida Fire Risk Frequency Analysis of the South Central Plains (1996-2015) Western Range Fires (1870-2007) Western Fire Map (1870-2007) Combined wildland fire datasets for the United States and certain territories, 1800s-Present