• BLM REA COP 2010 LANDFIRE - Succession Class for the Colorado Plateau ecoregion, USA (version 1.0)

    Metadata Updated: March 17, 2021

    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Project also produces maps of current vegetation and measurements of current vegetation departure from simulated historical reference conditions.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 Fire Plan, Federal Wildland Fire Management Policy, and the Healthy Forests Restoration Act.Data Summary:Succession Classes categorize current vegetation composition and structure into up to five successional states defined for each LANDFIRE Biophysical Settings (BpS) Model. An additional category defines uncharacteristic vegetation components that are not found within the compositional or structural variability of successional states defined for each BpS model, such as exotic species. These succession classes are similar in concept to those defined in the Interagency Fire Regime Condition Class Guidebook (www.frcc.gov). The presumed historical reference conditions for the succession classes in each BpS model are simulated using the vegetation and disturbance dynamics model LANDSUM (Keane et al. 2002, Keane et al. 2003, Keane et al. 2005, Pratt et al. 2005). The current successional classes and their simulated historical reference conditions are compared to assess departure of vegetation characteristics; this departure can be quantified using methods such as Fire Regime Condition Class (FRCC). Five successional classes, "A" (1) - "E" (5) define successional states represented within a given BpS model. 'UN' (6) represents uncharacteristic native vegetation for the BpS model on which these vegetation conditions are found. These are taken to represent vegetation cover, height, or composition that would not have been expected to occur on the BpS during the reference condition period. 'UE' (7) represents uncharacteristic exotic vegetation for the BpS model on which these vegetation conditions are found. Additional data layer values were included to represent Water (111), Snow / Ice (112), Barren (131), and Sparsely Vegetated (132). Urban (120) and Agriculture (180) are provided to mask out such areas from analysis of vegetation departure. To use this layer for assessing vegetation departure from simulated historical reference conditions, it is necessary to combine this layer with LANDFIRE BpS and LANDFIRE Map Zone data layers. The subsequent combination of Map Zone, Bps, and Succession Class can then be found within LANDFIRE Simulated Historical Reference Condition tables. Caution is warranted in assessing vegetation departure across Map Zone boundaries, as the classification schemes used to produce BpS and Succession Classes may vary slightly between adjacent Map Zones. Furthermore, reference conditions are simulated independently for each Map Zone, resulting in potentially unique measurements of reference conditions for a given BpS between adjacent Map Zones. Holsinger, L., R.E. Keane, B. Steele, M.C. Reeves, and S.D. Pratt. 2005. Assessing departure of current vegetation conditions from historical simulations of vegetation across large landscapes. Chapter 11 in: The LANDFIRE Prototype Project: nationally consistent and locally relevant geospatial data and tools for wildland fire management. M.G. Rollins, Technical Editor. USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory. RMRS-GTR-[In prep.] Keane, R.E., R. Parsons, and P. Hessburg. 2002. Estimating historical range and variation of landscape patch dynamics: limitations of the simulation approach. Ecological Modeling 151: 29-49. Keane, R.E., G.J. Cary, and R. Parsons. 2003. Using simulation to map fire regimes: an evaluation of approaches, strategies, and limitations. International Journal of Wildland Fire 12: 309-322. Keane, R.E., L. Holsinger, and S. Pratt. 2006. Simulating historical landscape dynamics using the landscape fire succession model LANDSUM version 4.0. USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory. RMRS-GTR-171CD. Pratt, S.D., L. Holsinger, and R.E. Keane. 2005. Modeling historical reference conditions for vegetation and fire regimes using simulation modeling. Chapter 10 in: The LANDFIRE Prototype Project: nationally consistent and locally relevant geospatial data and tools for wildland fire management. M.G. Rollins, Technical Editor. USDA Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory. RMRS-GTR-[In prep.]

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    Dates

    Metadata Date September 15, 2016
    Metadata Created Date March 17, 2021
    Metadata Updated Date March 17, 2021
    Reference Date(s) January 1, 2006 (publication)
    Frequency Of Update notPlanned

    Metadata Source

    Harvested from BLM-COP

    Additional Metadata

    Resource Type Dataset
    Metadata Date September 15, 2016
    Metadata Created Date March 17, 2021
    Metadata Updated Date March 17, 2021
    Reference Date(s) January 1, 2006 (publication)
    Responsible Party United States Forest Service, Rocky Mountain Research Station, Missoula Fire Sciences Laboratory, LANDFIRE Project (Point of Contact)
    Contact Email
    Guid
    Access Constraints Use Constraints: 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. The information contained in these data is dynamic and may change over time. The data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. 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. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office for which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This information may be updated without notification.-------Original Text-------None, Access Constraints: None, these data are considered public domain
    Bbox East Long -106.221558
    Bbox North Lat 41.747484
    Bbox South Lat 35.476576
    Bbox West Long -114.244247
    Coupled Resource
    Frequency Of Update notPlanned
    Licence The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM.
    Metadata Language eng; USA
    Metadata Type geospatial
    Progress completed
    Spatial Data Service Type
    Spatial Reference System
    Spatial Harvester True

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