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LANDFIRE’s (LF) Annual Disturbance products provide temporal and spatial information related to landscape change. Annual Disturbance depicts areas of 4.5 hectares (11 acres) or larger that have experienced a natural or anthropogenic landscape change (or treatment) within a given year. For the creation of the Annual Disturbance product, information sources include national fire mapping programs such as Monitoring Trends in Burn Severity (MTBS), Burned Area Reflectance Classification (BARC) and Rapid Assessment of Vegetation Condition after Wildfire (RAVG), 18 types of agency-contributed "event" perimeters (see LF Public Events Geodatabase), and remotely sensed Landsat imagery. To create the LF Annual Disturbance...
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LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In this context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVT also includes ruderal or semi-natural vegetation types within the U.S. National Vegetation Classification [(NVC) https://usnvc.org/]. See the EVT product page (https://www.landfire.gov/evt.php) for more information about ecological systems and NVC classifications. EVT is mapped using decision...
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LANDFIRE’s (LF) 2022 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for...
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LANDFIRE's (LF) 2022 Canopy Bulk Density (CBD) describes the mass of available canopy fuel per unit canopy volume that would burn in a crown fire. A spatially explicit map of CBD supplies information used in fire behavior models to determine the spread characteristics of active crown fires across the landscape. CBD for disturbed and non-disturbed areas is determined via a general linear model (GLM) relating Canopy Height (CH) and Canopy Cover (CC) to CBD (Reeves et al 2009). In LF 2022, fuel products are created with LF 2016 Remap vegetation in areas that were un-disturbed in the last ten years. To designate disturbed areas where CBD is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the...
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LANDFIRE's (LF) 2022 Canopy Base Height (CBH) supplies information used in fire behavior models to determine the critical point at which a surface fire will transition to a crown fire in conjunction with other environmental factors, such as wind speed and moisture content. CBH data are continuous from 0 to 9.9 meters (to the nearest 0.1m) and describe the lowest point in a stand where there is enough available fuel (0.25in diameter) to propagate fire vertically through the canopy. Critical CBH is defined as the lowest point at which the Canopy Bulk Density (CBD) is .012kg m-3. Under different scenarios of disturbance and based on previous research incorporating plot-level CBH calculations, CBH for disturbed areas...
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LANDFIRE's (LF) 2022 Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. CH is used in the calculation of Canopy Bulk Density (CBD) and Canopy Base Height (CBH). CH supplies information for fire behavior models, such as FARSITE (Finney 1998), that can determine the starting point of embers in the spotting model, wind reductions, and the volume of crown fuels. To create this product, plot level CH values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance Canopy Cover and CH are used as predictors of disturbed CH using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and time since...
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LANDFIRE’s (LF) 2022 Succession Class (SClass) categorizes current vegetation composition and structure into up to five successional classes, with successional classes defined in the appropriate Biophysical Settings (BpS) Model. There are two additional categories for uncharacteristic species (exotic or invasive vegetation), and uncharacteristic native vegetation cover, structure, or composition. Current successional classes and their historical reference conditions are compared to assess departure of vegetation characteristics. The classification schemes used to produce BpS and SClass may vary slightly between adjacent map zones, and reference conditions may be simulated independently in different map zones for...
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These data were compiled to support and inform the Bureau of Land Management’s Colorado Plateau Native Plant Program and to guide future management action when selecting regions to collect and increase seed for native plant materials development. The objective of our study was to develop geospatial datasets to aid land managers and restoration practitioners in identifying areas that will need to be restored in the future (currently disturbed) as well as areas to source new native plant materials for propagation with increased climate similarity to these areas across the Colorado Plateau, Arizona/New Mexico Mountains, and Arizona/New Mexico Plateaus. These data represent species distribution models for 12 high priority...
Tags: Achnatherum hymenoides, Arizona, Arizona/New Mexico Mountains, Arizona/New Mexico Plateaus, Astragalus lonchocarpus, All tags...
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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.
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This dataset contains data pertaining to chaparral vegetation dieback based on the difference or change in the Normalized Difference Vegetation Index (NDVI) prior to and 6 years into an extensive drought before the 2017 Thomas and 2018 Woolsey Fires in southern California. The difference in mean NDVI is provided for 9322 study plots as are values for a number of physical and climatological variables and burn severity following the two fires. These data support the following publication: Keeley, J.E., Brennan-Kane, T.J., and Syphard, A.D., 2022. The effects of prolonged drought on vegetation dieback and megafires in southern California chaparral. Ecosphere, 13(8), e4203. https://doi.org/10.1002/ecs2.4203.
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This fire risk assessment was conducted to understand how resilience and resistance and sage-grouse breeding bird habitat may inform wildland fire management decisions including preparedness, suppression, fuels management and post-fire recovery for western sagebrush communities. The assessment is based on the premise that risk = probability of a threat and the consequences of that threat (negative or positive). Fire risk was determined by the probability of a large wildfire and the consequences of fire on greater sage-grouse breeding habitat. These consequences were modified by the capacity of sage-grouse habitat to be resilient and thus recover from fire processes, and be resistant to invasive annual grasses. The...
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This dataset includes total phosphorus (TP), total nitrogen (TN), and total carbon (TC) concentrations as well as δ15N and δ13C composition, and overall C:N:P stoichiometry for adult emergent Diptera from the Colorado River, Grand Canyon, AZ. The samples were collected before and after a fire and subsequent storm occurred in the Shinumo Watershed, a tributary to the Colorado River in Northern Arizona. Diptera specimens were collected via light traps placed on the banks of the Colorado River 25 miles above and 25 miles below Shinumo Creek (river miles 85-135) between 2013 and 2015. This data series contains Diptera TP concentrations (in mg P per mg Diptera) for 44 samples from 11 location/date combinations. We also...
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We determined the acute toxicity of four wildland fire retardants (Phos-Chek 259-Fx, Phos-Chek MVP-Fx, and Phos-Chek LC-95A-Fx, and Phos-Chek LC-95A-R) to two life stages (swim-up fry and young juveniles) of rainbow trout in standardized hard and soft water. The measure of acute toxicity was expressed as both the 96-hour median lethal concentration (96-h LC50, based on mortality) and 96-h median effective concentration (EC50, based on mortality, plus loss of equilibrium and immobilization), which are statistically derived concentrations expected to kill or kill and severely impair, respectively, 50 percent of the test fish in 96 hours. This data set includes the concentration-response data at 24, 48, 72, and 96...
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The Fire Regime Groups layer characterizes the presumed historical fire regimes within landscapes based on interactions between vegetation dynamics, fire spread, fire effects, and spatial context (Hann and others 2004). Fire regime group definitions have been altered from previous applications (Hann & Bunnell 2001; Schmidt and others 2002; Wildland Fire Communicator's Guide) to best approximate the definitions outlined in the Interagency FRCC Guidebook. These definitions were refined to create discrete, mutually exclusive criteria. This layer was created by linking the LANDFIRE Biophysical Settings (BpS) layer to the Fire Regime Group rulesets. This geospatial product should display a reasonable approximation of...
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The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. CC describes percent cover of tree canopy in a stand. A spatially-explicit map of canopy cover supplies information for fire behavior models such as FARSITE (Finney 1998) to determine surface fuel shading for calculating...
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Sediment grain-size distributions, stable carbon isotope ratios (d13C), total carbon to total nitrogen ratios (C:N), short-lived radionuclides (Beryllium-7, Cesium-137, and Lead-210), concentrations of 76 parent and alkylated polycyclic aromatic hydrocarbons (PAHs) and concentrations of 33 per- and polyfluoroalkyl substances (PFAS) were measured in the northern reach of San Francisco Bay (San Pablo and Suisun Bays), and in stream beds of the lower reaches of Napa River and Sonoma Creek, 5 months and 20 months after the 2017 Atlas and Nuns wildfires. New sites for sediment geochemistry analyses added 20 months post-fire included the lower reaches of Petaluma Creek and Suisun Slough, and in marsh sediment on Napa...
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Fine-grained sediment was collected from the banks of Napa River, Sonoma Creek, and tributaries in March 2018 and from shallow nearshore areas of the northern reach of San Francisco Bay in April 2018. Bulk sediment was dated using activities of short-lived cosmogenic radionuclides (beryllium-7, cesium-137, and lead-210). Contents of potentially toxic metals and source-rock-indicative elements, including rare earth elements, were quantified in the fine fraction of sediment (particles less than 0.063 mm diameter). Ratios of stable carbon-13/carbon-12 isotopes and total carbon to total nitrogen were determined in sedimentary organic matter.
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This portion of the data release presents a digital surface model (DSM) and hillshade of Whiskeytown Lake and the surrounding area derived from Structure from Motion (SfM) processing of aerial imagery acquired on 2019-11-12. Unlike a digital elevation model (DEM), the DSM represents the elevation of the highest object within the bounds of a cell. Vegetation, buildings and other objects have not been removed from the data. In addition, data artifacts resulting from noise and vegetation in the original imagery have not been removed. However, in unvegetated areas such as reservoir shorelines and deltas, the DSM is equivalent to a DEM because it represents the ground surface elevation. The raw imagery used to create...


map background search result map search result map Fires in Western North America Fire Risk Assessment for the Greater Sage-Grouse Raster Geochemistry of sediment and organic matter in drainages burned by the Altas and Nuns wildfires in October 2017 and of nearshore seabed sediment in north San Francisco Bay from March to April 2018 Carbon, nitrogen, and phosphorus content of adult emergent Diptera before and after a fire-storm sequence in the Colorado River near Shinumo Creek, Grand Canyon, AZ Parent and alkylated polycyclic aromatic hydrocarbons (PAHs) and per- and polyfluoroalkyl substances (PFAS) in north San Francisco Bay, Napa River, and Sonoma Creek in 2018 and 2019 Topographic digital surface model (DSM) for Whiskeytown Lake and surrounding area, 2019-11-12 Disturbance, energy, climate partitions, cultivars and species habitat data for the Colorado Plateau and environs The Effect of Prolonged Drought on Chaparral Dieback within the Perimeters of the Thomas and Woolsey Fires in Southern California, USA Predictive Model of Fire Frequency in the Mojave Desert Elemental chemistry, radionuclides, and charcoal in watershed soil and reef sediment at Olowalu, Maui, 2022 LANDFIRE Fire Regime Groups LANDFIRE Forest Canopy Cover Biological and chemical data from laboratory toxicity exposures of rainbow trout to four wildland fire retardants LANDFIRE 2022 Existing Vegetation Type (EVT) AK LANDFIRE Annual Disturbance CONUS 2021 LANDFIRE 2022 Forest Canopy Base Height (CBH) Puerto Rico US Virgin Islands LANDFIRE 2022 Forest Canopy Height (CH) Puerto Rico US Virgin Islands LANDFIRE 2022 Forest Canopy Bulk Density (CBD) HI LANDFIRE 2022 Succession Class (SClass) CONUS LANDFIRE 2022 Succession Class (SClass) HI Biological and chemical data from laboratory toxicity exposures of rainbow trout to four wildland fire retardants Elemental chemistry, radionuclides, and charcoal in watershed soil and reef sediment at Olowalu, Maui, 2022 Topographic digital surface model (DSM) for Whiskeytown Lake and surrounding area, 2019-11-12 Geochemistry of sediment and organic matter in drainages burned by the Altas and Nuns wildfires in October 2017 and of nearshore seabed sediment in north San Francisco Bay from March to April 2018 The Effect of Prolonged Drought on Chaparral Dieback within the Perimeters of the Thomas and Woolsey Fires in Southern California, USA Parent and alkylated polycyclic aromatic hydrocarbons (PAHs) and per- and polyfluoroalkyl substances (PFAS) in north San Francisco Bay, Napa River, and Sonoma Creek in 2018 and 2019 Carbon, nitrogen, and phosphorus content of adult emergent Diptera before and after a fire-storm sequence in the Colorado River near Shinumo Creek, Grand Canyon, AZ LANDFIRE 2022 Forest Canopy Base Height (CBH) Puerto Rico US Virgin Islands LANDFIRE 2022 Forest Canopy Height (CH) Puerto Rico US Virgin Islands LANDFIRE 2022 Forest Canopy Bulk Density (CBD) HI LANDFIRE 2022 Succession Class (SClass) HI Predictive Model of Fire Frequency in the Mojave Desert Disturbance, energy, climate partitions, cultivars and species habitat data for the Colorado Plateau and environs Fire Risk Assessment for the Greater Sage-Grouse Raster LANDFIRE 2022 Existing Vegetation Type (EVT) AK LANDFIRE Fire Regime Groups LANDFIRE Forest Canopy Cover LANDFIRE Annual Disturbance CONUS 2021 LANDFIRE 2022 Succession Class (SClass) CONUS Fires in Western North America