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Multi-scale Mapping Of Fire Regime Condition Class

This mapping tool facilitates spatial identification of restoration opportunities by comparing existing vegetation-fuel conditions to reference conditions. It reports necessary changes and conducts change detection for proposed treatments, aiding land managers lacking GIS skills. The tool enhances efficiency, accuracy, and consistency in mapping, utilizing various data sources and capable of discriminating biophysical settings and vegetation-fuel classes. It helps derive departure indices, classify vegetation-fuel conditions, and prioritize areas for restoration efforts. Reports generated offer valuable insights and actionable recommendations for effective landscape management.

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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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