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Incorporating Landscape Fuel Treatment Modeling into the Forest Vegetation Simulator

This study investigates the spatial arrangement of fuel treatments and their impact on large fire growth, using a simulation system that combines the Forest Vegetation Simulator (FVS) with a Treatment Optimization Model and fire growth simulation model. The study examines the effects over time and discusses the results and implications.

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Incorporating Landscape Fuel Treatment Modeling into the Forest Vegetation Simulator

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  1. Incorporating Landscape Fuel Treatment Modeling into the Forest Vegetation Simulator Robert C. Seli Alan A. Ager Nicholas L. Crookston Mark A. Finney Berni Bahro James K. Agee Charles W. McHugh

  2. Study Objectives • What effect does the spatial arrangement of fuel treatments have on large fire growth. • How does the arrangement change over time.

  3. Study Sites

  4. Simulation System • FVS for simulating forest changes and treatments over time. • Treatment Optimization Model using topologically optimal logic to select stands for treatment. • A fire growth simulation model.

  5. Three Major Components Make New Activities Adds FVS activities on the fly Custom PPE-FFE Controls the entire simulation Compute Priority Selects stands for treatment

  6. Custom PPE-FFE • FFE was added to PPE, • PPE changed to implement trial activities for every stand and pause, • transfer trial activity results to ComputePriority.exe, • wait for ComputePriority.exe to pass stands selected for treatment. • When ComputePriority.exe terminates PPE schedules stands for treatment. • PPE calls MakeNewActivities.exe and accepts any new FVS activities.

  7. Custom PPE-FFE

  8. Compute Priority • Stand values into FARSITE landscape files. • Scott & Burgan fuel model logic • Selects cells for FVS trial activities • Converts selected cells back into stands.

  9. Make New Activities • Created new activities for PPE-FFE, random wildfires in our simulation. • SIMFIRE • FLAMADJ

  10. Results 1

  11. Results 2 Treatment Fraction

  12. Complete Results

  13. Discussion • Data requirements • Need for Scott & Burgan fuel models • Lack of understory vegetation dynamics • Complexity of process • Skills needed • Computer requirements • 10,000 stand limit in PPE

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