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Broad-scale alterations of historical fire regimes and vegetation dynamics have occurred in many landscapes in the U.S. through the combined influence of land management practices, fire exclusion, ungulate herbivory, insect and disease outbreaks, climate change, and invasion of non-native plant species. The LANDFIRE Project produces maps of simulated historical fire regimes and vegetation conditions using the LANDSUM landscape succession and disturbance dynamics model. The LANDFIRE Project also produces maps of current vegetation and measurements of current vegetation departure from simulated historical reference conditions. These maps support fire and landscape management planning outlined in the goals of the National...
Broad-scale alterations of historical fire regimes and vegetation dynamics have occurred in many landscapes in the U.S. through the combined influence of land management practices, fire exclusion, ungulate herbivory, insect and disease outbreaks, climate change, and invasion of non-native plant species. The LANDFIRE Project produces maps of simulated historical fire regimes and vegetation conditions using the LANDSUM landscape succession and disturbance dynamics model. The LANDFIRE Project also produces maps of current vegetation and measurements of current vegetation departure from simulated historical reference conditions. These maps support fire and landscape management planning outlined in the goals of the National...
Broad-scale alterations of historical fire regimes and vegetation dynamics have occurred in many landscapes in the U.S. through the combined influence of land management practices, fire exclusion, ungulate herbivory, insect and disease outbreaks, climate change, and invasion of non-native plant species. The LANDFIRE Project produces maps of simulated historical fire regimes and vegetation conditions using the LANDSUM landscape succession and disturbance dynamics model. The LANDFIRE Project also produces maps of current vegetation and measurements of current vegetation departure from simulated historical reference conditions. These maps support fire and landscape management planning outlined in the goals of the National...
Riparian and wetland systems were determined from NHD waterbodies, SWReGAP riparian landcover types, and LANDFIRE riparian existing vegetation types. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ and DEV_N_FZ) represent human development intensity values modeled...
The Visual Resource Inventory Classes data were provided by BLM. This dataset presents current and future change agent models and combined future potential for climate change (PFC) within Visual Resource Inventory Classes. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ...
To support the BLM's San Luis Valley-Taos Plateau Landscape Assessment. This dataset presents current and future change agent models and combined future potential for change (PFC) within USGS HUC12 boundaries.This dataset presents current and future change agent models and combined future potential for climate change (PFC). Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current...
The Visual Resource Management Classes data were provided by BLM.This dataset presents current and future change agent models and combined future potential for climate change (PFC) within Visual Resource Management Classes. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ...
The Visual Resource Management Classes data were provided by BLM.This dataset presents current and future change agent models and combined future potential for climate change (PFC) within Visual Resource Management Classes. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ...
Riparian and wetland systems were determined from NHD waterbodies, SWReGAP riparian landcover types, and LANDFIRE riparian existing vegetation types. Potential for change (PFC) was determined by calculating the maximum potential for change among all change agents within each 1 km reporting unit. Current and future landscape intactness (LCM_C_FZ and LCM_N_FZ) are based on measures of landscape development and invasive species. Current vegetation departure (VDEP) is based on LANDFIRE vegetation departure and characterizes the departure of current vegetation from historic reference vegetation conditions. Current and future human development (DEV_C_FZ and DEV_N_FZ) represent human development intensity values modeled...
NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at broader scales The layer represents the scorecard of multiple indicator values of ecosytem/species integrity. Individual layers for ecosystems may have representitive values of change in extent, landscape condition, landscape connectivity, Fire Regime Departure, or invasive annual grass risk. Not...
NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at broader scales The layer represents the scorecard of multiple indicator values of ecosytem/species integrity. Individual layers for ecosystems may have representitive values of change in extent, landscape condition, landscape connectivity, Fire Regime Departure, or invasive annual grass risk. Not...
NatureServe’s ecological integrity framework provides a practical approach to organize criteria and indicators for this purpose (Faber-Langendoen et al. 2006, Unnasch et al. 2008). This framework provides a scorecard for reporting on the ecological status of a given CE within a given location, and if needed, facilitates the aggregation and synthesis of the component results for broader measures of ecological integrity at broader scales The layer represents the scorecard of multiple indicator values of ecosytem/species integrity. Individual layers for ecosystems may have representitive values of change in extent, landscape condition, landscape connectivity, Fire Regime Departure, or invasive annual grass risk. Not...
To map the baseline distribution of sagebrush steppe, we included all sagebrush LANDFIRE Existing Vegetation Types (EVT) except for mountain big sagebrush, which is included in the foothill shrublands and woodlands community. We also included adjacent, low elevation (less than 2,600 m) grassland areas, which include postfire sagebrush steppe classified as grasslands and prairie grasslands that occur within the project buffer. All grassland EVT cells within a 210m radius buffer that were dominated by sagebrush steppe were included in the sagebrush steppe community. 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...
The Geospatial Multi-Agency Coordination Group, or GeoMAC, is an internet-based mapping tool originally designed for fire managers to access online maps of current wildland fire locations and perimeters in the continental United States, including Alaska. Perimeters are submitted to GeoMAC by the incidents via posting to FTP and web sites for downloading. This file contains wildland fire perimeters submitted to GeoMAC from the year 2000 to the calendar year preceeding the current one. The projection is geographic and the datum is NAD83. Last updated January 20, 2011, SPW. Additional metadata available at: http://rmgsc.cr.usgs.gov/outgoing/GeoMAC/historic_fire_data/us_hist_fire_perimeters_dd83_METADATA.htm
The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (includes wildfire, wildland fire use, and prescribed fire) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period of 1984 through 2010. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This...
The FSim burn probability was used to determine the burn probability of the white sturgeon range in the ecoregion. This layer was used to examine wildfire risk to areas within the white sturgeon range.
Monitoring Trends in Burn Severity Data (MTBS) distributes three burn and fire related datasets (Burned Area Boundaries, Fire Occurrence Dataset, Burn Severity Mosaics). MTBS also provides web map services (WMS) as a method to access the national MTBS geospatial datasets. All three types of the seamless national datasets are published as an Open Geospatial Consortium (OGC)-compliant WMS.
Both tabular and spatial models were used to predict fire regime departure at the sub-watershed scale (i.e., HUC 10 units). Integrating the fire regime models with predicted changes in climate envelopes provides a clearer understanding of how these ecological systems are likely to respond to multiple stresses. The natural range of variability for each CE was initially derived from LANDFIRE Vegetation Dynamics Development Tool (VDDT) models. The VDDT allows for the development of probabilistic quantitative model of CEs consisting of multiple ecological states with both deterministic and probabilistic drivers. For any defined suite of drivers, the models predict the relative abundance of each state within a defined...
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
CBR 2010,
Central Basin and Range,
Climate,
Both tabular and spatial models were used to predict fire regime departure at the sub-watershed scale (i.e., HUC 10 units). Integrating the fire regime models with predicted changes in climate envelopes provides a clearer understanding of how these ecological systems are likely to respond to multiple stresses. The natural range of variability for each CE was initially derived from LANDFIRE Vegetation Dynamics Development Tool (VDDT) models. The VDDT allows for the development of probabilistic quantitative model of CEs consisting of multiple ecological states with both deterministic and probabilistic drivers. For any defined suite of drivers, the models predict the relative abundance of each state within a defined...
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
CBR 2010,
Central Basin and Range,
Climate,
Both tabular and spatial models were used to predict fire regime departure at the sub-watershed scale (i.e., HUC 10 units). Integrating the fire regime models with predicted changes in climate envelopes provides a clearer understanding of how these ecological systems are likely to respond to multiple stresses. The natural range of variability for each CE was initially derived from LANDFIRE Vegetation Dynamics Development Tool (VDDT) models. The VDDT allows for the development of probabilistic quantitative model of CEs consisting of multiple ecological states with both deterministic and probabilistic drivers. For any defined suite of drivers, the models predict the relative abundance of each state within a defined...
Types: Downloadable;
Tags: BLM,
Bureau of Land Management,
CBR 2010,
Central Basin and Range,
Climate,
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