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Multi-scale Mapping Of Fire Regime Condition Class

Multi-scale Mapping Of Fire Regime Condition Class. Why Map?. Communication “Guidebook” characterizes FRCC but not spatially Spatially identify restoration opportunities. Why Develop a Tool?. Most land managers lack GIS skills Many analytical tasks are repetitive

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Multi-scale Mapping Of Fire Regime Condition Class

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  1. Multi-scale Mapping Of Fire Regime Condition Class

  2. Why Map? • Communication • “Guidebook” characterizes FRCC but not spatially • Spatially identify restoration opportunities

  3. Why Develop a Tool? • Most land managers lack GIS skills • Many analytical tasks are repetitive • Automation saves time, money, and reduces analytical errors • Consistency & repeatability

  4. Mapping Tool Objectives • Compare existing condition to the reference condition • Derive and spatially display departure indices • Spatially identify restoration opportunities • Report change necessary to mimic reference condition • Conduct change detection between existing condition & proposed treatment Excessive Similar Deficient Relative Amount

  5. Model inputs Spatial Data Biophysical setting (e.g., BpS) Existing condition of successional states (e.g., veg-fuel classes) Landscapes (e.g., reporting units) Tabular Data Reference condition table Landscape to BpS crosswalk Model outputs Spatial Data Veg-Fuel Class Percent Difference Veg-Fuel Class Relative Amount Veg-Fuel Condition Class: std level Veg-Fuel Class Departure Veg-Fuel Condition Class Landscape Departure Tabular Data Landscape Reports FRCC Mapping Tool

  6. Model Inputs • Data Requirements • Continuous & consistent • Any scale (geographic extent & resolution) • Capable of discriminating BpS & Veg-Fuel classes • Data Sources • Remote Sensing • Satellite imagery • Photo interpretation • Stand exam • Field-level mapping

  7. Biophysical Settings(BpS)

  8. Derivation of BpS • Biophysical setting (PVT) • Historical Fire Regime (HFR) • 75 unique combinations in R1VMP PVT HFR

  9. Vegetation-Fuel Class(Structural Stage Class) • Structure • Open • Closed • Seral state • Early seral • Mid seral • Late seral

  10. Derivation of Veg-fuel Class } 4,500 combinations in R1VMP • PVT • HFR • BpS • Dominance type • Size class • Canopy cover class

  11. Derivation of Veg-fuel Class - R1VMP **Except where PVT = PICO, PIFL, PIPO, PSME1

  12. Landscapes • Geographic units for deriving composition of veg-fuel classes for any given BpS • Nested hierarchy; up to 3 levels • Vary by BpS/Fire regime group HFR I and II HFR III HFR IV and V HUC6 HUC5 HUC4

  13. Landscapes(Reporting Units) • Geographic units for deriving composition of veg-fuel classes for any given BpS • Nested hierarchy; up to 3 levels • Vary by BpS/Fire regime group HFR I and II HFR III HFR IV and V HUC6 HUC5 HUC4

  14. Reference Condition (HRV) • Midpoint of HRV for veg-fuel classes • Derived from VDDT • Includes landscape hierarchy

  15. Veg-Fuel ClassPercent Difference • The difference between existing veg-fuel class composition and the reference condition • Indicates the veg-fuel classes that are most deficient to most excessive • Most informative of all the indices Values: -100 to 100 Negative = too little; Positive = too much

  16. Veg-Fuel ClassRelative Amount • Classification of the Percent Difference (lose information) • Identifies excessive and deficient amounts of veg-fuel classes • Suggests management scenarios • Maintain veg-class (similar) • Recruit veg-class (deficient) • Reduce veg-class (excessive) Abundant Trace Under Represent Similar Over Represent

  17. Veg-Fuel Condition Class: Stand Level • Classification of relative abundance • Suggest management scenarios: • CC1 = maintain/recruit • CC2 = reduce • CC3 = reduce • Useful for NFPORS reporting

  18. Veg-Fuel ClassDeparture • Signifies the overall departure across all vegetation-fuel classes within a BpS • Values = 0 to 100 • Useful for prioritizing BpSs for restoration

  19. Veg-Fuel Condition Class(BpS-level) • Classification of Veg-Fuel departure • Stratified by BpS & landscape • Represents the vegetation component of FRCC

  20. Landscape Departure • Area-weighted average of Veg-Fuel departure at lowest level of the landscape hierarchy • Useful for prioritizing landscapes • Values range between 0 and 100

  21. Reports • How much change is necessary to mimic the reference condition? • What Veg-Fuel Classes need to be treated? • Unique by landscape level

  22. Where are we?? • Completed 1st round of beta-testing • Gila • Northern Region • Klamath • Testing change detection • Editing “User Manual” • Release beta version in March

  23. All models are wrong… …but some are useful. George E. P. Box

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