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Examples

Examples. Using FEPF to identify priority treatment areas based on soil erosion potential and critical fish habitat In the Bitterroot Valley, MT. Erosion Potential (from soils data). WCT population (FS, DFWP data). Stand Replacing Fire. Using FEPF for a Go/No Go decision.

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Examples

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  1. Examples

  2. Using FEPF to identify priority treatment areas based on soil erosion potential and critical fish habitat In the Bitterroot Valley, MT

  3. Erosion Potential (from soils data) WCT population (FS, DFWP data) Stand Replacing Fire

  4. Using FEPF for a Go/No Go decision

  5. Scenario Dixie National Forest East Fork FMU

  6. We will meet objectives with this ignition Land Management Plan Objectives – Where all Forest Service unplanned ignition objectives come from.. LMP Objectives Output input With the proper input the Fire Effects Planning Framework (FEPF) will give you information on whether a given ignition - will or will not meet a set of objectives. Fire Effects Planning Framework

  7. Dixie National Forest – East Fork FMU Paunsaugunt Plateau Resource Objectives: Restore Aspen - >300 acres of high severity burn within ¼ m of existing POTR Maintain/restore Ponderosa pine - do not kill large PIPO CROWN FIRE POTENTIAL in non-PIPO conifer within ¼ m of existing Potr Compare FLAME LENGTH to stand height and canopy base height

  8. IGNITION Size up, fire projection, gut-feeling: where’s it likely to go what’s it likely to do

  9. We will meet objectives with this ignition Output input With the proper input the Fire Effects Planning Framework (FEPF) will give you information on whether a given ignition - will or will not meet a set of objectives. Fire Effects Planning Framework Local Experience – critical for model calibration Local Experience

  10. We will meet objectives with this ignition Output NFDRS Plans - Useful for determining appropriate weather station, key thresholds, i.e. season ending/slowing events. input NFDRS Plan With the proper input the Fire Effects Planning Framework (FEPF) will give you information on whether a given ignition - will or will not meet a set of objectives. Fire Effects Planning Framework

  11. Fire start Data Needed/ Data Used • Weather information • Color Country FMP/NFDRS Plan (Bryce RAWS) • Extracted threshold % weather from FireFamily+

  12. We will meet objectives with this ignition Output GIS Data Input GIS Data – spatial modeling With the proper input the Fire Effects Planning Framework (FEPF) will give you information on whether a given ignition - will or will not meet a set of objectives. Fire Effects Planning Framework

  13. 90th% conditions Res.Obj. Benefit Risk__ PIPO 1112(ac) 606 (ac) POTR 641(ac) -

  14. Actual weather stream used in Farsite projection Res.Obj. Benefit Risk__ PIPO 1547(ac) 415 (ac)

  15. Using FEPF without datasets to model fire behavior and using cover type maps for vegetation Yellowstone National Park

  16. Other Examples Yellowstone National Park Sierra National Forest (Kings River Project) Bitterroot National Forest Photo: YNP Archives

  17. Successional Pathways for Whitebark Pine in YNP ABLA-VASC, PIAL ABLA-CAGE PIAL-VASC PIAL-CAGE Habitat Types Stand Initiation Stand Initiation Disturbance High Severity Low/Mixed Severity Seed Availability Seed Dispersal Microsite Conditions Elevation WB0 0-50 LP0 0-40 WB0 0-50 Cover Types WB1 50-100 WB1 50-100 LP1 40-100 LP2 100-300 WB2 100-300 WB2 100-300 LP3 >300 WB3 >300 Climax Cover Types (Theoretical) WB >300 SF SF

  18. Table 1. Fire Effects Crosswalk for Whitebark Pine Cover Types in YNP Cover Typesx Severity Benefits/Risks WB0: Newly disturbed sites to ~50 years of age. Seedlings and saplings. WB1: Stands ~50-100 years old. Young trees entering cone-producing years. All fires Unfavorable—whitebark pine has established, but trees may not have reached age of reproduction. Even low intensity fire likely to kill whitebark pine less than 80 years of age. WB2: Stands ~100-300 years of age in prime cone producing years. Understory may contain SF in SF habitat types; overstory may contain LP. High 3% of Favorability determined at landscape scale; stands burned per decade recommended. Minimum and maximum acreage burned may need to be established; extensive fires of 1988 may have already met minimum recommendation for foreseeable future. Low/Mixed Highly favorable— mature whitebark pine moderately fire-tolerant; competitors less fire-tolerant. May create caching sites. Favorable—stands are declining in cone productivity and subject to beetle attack. Some productivity may be lost in stands at the earlier end of this stage. WB3: Stands older than ~300 years. Late seral whitebark pine with moderately dense SF clearly dominating the understory and co-dominating the overstory. Cone productivity declining. High Low/Mixed Highly favorable—co-dominant species are less fire-tolerant; will out-compete WB without fire. May create caching sites. WB: Climax whitebark pine forest; may have minor component of SF in understory. All fires Favorable—stands are declining in productivity and subject to beetle attack, although some productivity may be lost in stands at the earlier end of this stage. WB may persist without periodic fire in this cover type, but recruitment of WB is low and may depend on disturbance. (After Despain 1990)

  19. Fire effects modeled using fire behavior parameters

  20. Information on Basal Area of WB is essential for mapping impact of fire on Grizzly Bear habitat

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