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Cheatgrass (Bromus tectorum) is a recognized, invasive annual weed of the western United States that reduces fire return times from decades to less than 5 years. To determine the interaction between rising carbon dioxide concentration ([CO2]) and fuel load, we characterized potential changes in biomass accumulation, C : N ratio and digestibility of three cheatgrass populations from different elevations to recent and near-term projections in atmospheric [CO2]. The experimental CO2 values (270, 320, 370, 420 μmol mol−1) corresponded roughly to the CO2 concentrations that existed at the beginning of the 19th century, that during the 1960s, the current [CO2], and the near-term [CO2] projection for 2020, respectively....
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Fire Frequency within Wild Horse and Burro Herd Areas. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.
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This map show the fire frequency from 2000 - 2012 with the NGB ecoregion. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.
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This map show the fire frequency from 1990 - 2012 with the NGB ecoregion. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.
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To meet the climate change planning and adaptation needs of Alaska managers and decision makers, I developed a set of statewide summaries of available climate change projections that can be further subset using GIS techniques for requests by management unit, watershed, or other location. This facilitates the development of tailored climate futures for decision makers’ regional or subregional management context. This file describes the source data and summaries for purposes of technical /scientific documentation. The methods and presentation for these datasets were adapted from products in previous USGS-approved IP products for the AKCASC Building Resilience Today project (e.g, Community of Kotlik et al. 2019)....
We assessed the impacts of co-occurring invasive plant species on fire regimes and postfire native communities in the Mojave Desert, western USA by analyzing the distribution and co-occurrence patterns of three invasive annual grasses known to alter fuel conditions and community structure: Red Brome (Bromus rubens), Cheatgrass (Bromus tectorum), and Mediterranean grass (Schismus spp.: Schismus arabicus and Schismus barbatus), and an invasive forb, red stemmed filaree (Erodium cicutarium) which can dominate postfire sites. We developed species distribution models (SDMs) for each of the four taxa and analyzed field plot data to assess the relationship between invasives and fire frequency, years postfire, and the impacts...
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Fire history metrics enable rapidly increasing amounts of burned area data to be collapsed into a handful of data layers that can be used efficiently by diverse stakeholders. In this effort, the U.S. Geological Survey's Landsat Burned Area product was used to identify burned area across CONUS over a 40-year period (1984-2023). The Landsat BA product was consolidated into a suite of annual BA products, which in-turn were used to calculate a series of contemporary fire history metrics (30 m resolution). Fire history metrics included: (1) fire frequency (FRQ), (2) time since last burn (TSLB) and (3) year of last burn (YLB), (4) longest fire-free interval (LFFI), and (5) average fire interval length (FIL). All metrics...
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Fire Frequency within Wild Horse and Burro Herd Management Areas. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.
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This dataset contains demographic data pertaining to Hesperocyparis forbesii on Otay Mountain in San Diego County, California, USA, over a 14-year study period from 2004 to 2017 following the 2003 Otay/Mine Fire. Site variables including elevation, incline, and slope were collected as well as pre-fire tree density and stand age for 16 study site locations. Tree density, height, and cone production was then monitored over the study period with data collection occurring in 2004, 2005, 2009, 2011, 2014, and 2017. These data support the following publication: Brennan, T.J. & Keeley, J.E., 2019, Postfire population dynamics of a fire-dependent cypress, Plant Ecology, 220(6): 605. https://doi.org/10.1007/s11258-019-00939-8
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This raster dataset represents spatially explicit predictions of burn severity (dNBRPredict.tif) in the Mojave Desert based on models developed from data on the difference normalized burn ratio (dNBR) within perimeters of fires greater than 405 hectares that burned between 1984 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.
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This U.S. Geological Survey data release consists of 3 raster datasets representing estimates of probability of ignition (ProbIgnitPredict.tif), fire frequency (FrequencyPredictRF.tif), and burn severity (dNBRPredictRF.tif) in the Mojave Desert from 1984 to 2010. The data include: (1) A shapefile of the Mojave Desert that was used as our study area boundary (MojaveEcoregion_TNS_UTM83.shp). The original shapefile was obtained from NatureServe in 2009; (2) Three Tagged-Interchange Format (TIF) raster datasets representing probability of ignition, fire frequency, and burn severity. Resolution equals 30 meters, projection equals UTM Zone 11N. These data support the following publication: Klinger, R., Underwood, E.C.,...
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Fire Frequency (1990 - 2012) within Grazing Allotments in the ecoregion. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.
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This raster dataset represents spatially explicit predictions of probability of ignition in the Mojave Desert based on models developed from data on perimeters of fires greater than 405 hectares that burned between 1972 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.
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Fire is critical to maintaining and restoring temperate ecosystems in the South Central U.S. As precipitation patterns and temperatures change in the region, managers require information on how these changes will impact fire frequency, and thus the species and ecosystems within the landscape. To address this need, researchers will use climate model data to predict and map future changes in fire frequency for Texas, Oklahoma, and New Mexico. Researchers will then examine species and ecosystem distribution data to understand the relationship between climate, fire frequency, and species occurrence. This analysis will enable researchers to identify potential future distributions of woody ecosystems and species such...
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This raster dataset represents spatially explicit predictions of fire frequency in the Mojave Desert based on models developed from data on perimeters of fires greater than 405 hectares that burned between 1972 through 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.


    map background search result map search result map Understanding Future Fire Frequency and Impacts on Species Distribution in the South Central U.S. Demographic data for Hesperocyparis forbesii on Otay Mountain 2004-2017 BLM REA NGB 2011 Fire Frequency by Grazing Allotment in the NGB BLM REA NGB 2011 Fire Frequency 1990 - present in the NGB BLM REA NGB 2011 Wild Horse and Burro Herd Management Areas  vs. Fire Frequency BLM REA NGB 2011 Fire Frequency 2000 - present in the NGB BLM REA NGB 2011 Wild Horse and Burro Herd Areas vs. Fire Frequency Invasive Plant Cover in the Mojave Desert, 2009 - 2013 (ver. 2.0, April 2021) Species distribution model of the invasive annual grass Bromus rubens (red brome) in the Mojave Desert Species distribution model of the invasive annual forb Erodium cicutarium (red-stemmed filaree) in the Mojave Desert Species distribution model of the invasive annual grass Schismus spp (Mediterranean split grass) in the Mojave Desert Species distribution model of the invasive annual grass Bromus tectorum (cheatgrass) in the Mojave Desert Fire Regimes in the Mojave Desert (1972-2010) Predictive Model of Burn Severity (dNBR) in the Mojave Desert Contemporary fire history metrics for the conterminous United States (1984-2023) (ver. 3.0, April 2024) Predictive Model of Fire Frequency in the Mojave Desert Predictive Model of Probability of Ignition in the Mojave Desert Mojave Desert Ecoregion Demographic data for Hesperocyparis forbesii on Otay Mountain 2004-2017 Fire Regimes in the Mojave Desert (1972-2010) Invasive Plant Cover in the Mojave Desert, 2009 - 2013 (ver. 2.0, April 2021) Mojave Desert Ecoregion Predictive Model of Burn Severity (dNBR) in the Mojave Desert Predictive Model of Fire Frequency in the Mojave Desert Predictive Model of Probability of Ignition in the Mojave Desert Species distribution model of the invasive annual grass Bromus rubens (red brome) in the Mojave Desert Species distribution model of the invasive annual forb Erodium cicutarium (red-stemmed filaree) in the Mojave Desert Species distribution model of the invasive annual grass Schismus spp (Mediterranean split grass) in the Mojave Desert Species distribution model of the invasive annual grass Bromus tectorum (cheatgrass) in the Mojave Desert Understanding Future Fire Frequency and Impacts on Species Distribution in the South Central U.S. BLM REA NGB 2011 Fire Frequency by Grazing Allotment in the NGB BLM REA NGB 2011 Fire Frequency 1990 - present in the NGB BLM REA NGB 2011 Wild Horse and Burro Herd Management Areas  vs. Fire Frequency BLM REA NGB 2011 Fire Frequency 2000 - present in the NGB BLM REA NGB 2011 Wild Horse and Burro Herd Areas vs. Fire Frequency Contemporary fire history metrics for the conterminous United States (1984-2023) (ver. 3.0, April 2024)