Fuel types misrepresent forest structure and composition in interior British Columbia: a way forward.

Area of Science:

• Wildland fire science
• Forestry
• Remote sensing applications

Background:

• Effective wildfire management relies on accurate wildland fuel characterization.
• Current fuel typing and mapping face challenges due to diverse fuel conditions and heterogeneity.
• The Canadian Fire Behavior Prediction (FBP) System categorizes vegetation into 16 fuel types for fire behavior assessment.

Purpose of the Study:

• To assess the accuracy and applicability of provincial and national FBP System fuel type maps in interior British Columbia.
• To quantify the agreement between on-site fuel assessments and existing fuel type maps.

Main Methods:

• Conducted on-site assessments of wildland fuel structure and composition in interior British Columbia.
• Compared field data with provincial and national FBP System fuel type maps.
• Analyzed discrepancies, particularly in dry ecosystems, mixedwood/deciduous types, and post-harvest conditions.

Main Results:

• Consistently found poor correspondence between field data and both provincial and national fuel types.
• Mismatches were frequent in dry interior ecosystems, mixedwood/deciduous fuel types, and post-harvest areas.
• Fifty-eight percent of field plots lacked a suitable match to mapped fuel types, driven by data limitations and FBP System applicability.

Conclusions:

• Identified fuel typing mismatches that can hinder scientific research, wildfire operations, and fuel management.
• Improving accuracy necessitates enhanced fuel inventory data and system updates to reflect diverse fuel conditions.
• Recommended a fuel classification approach emphasizing observed fuels and measured fire behavior for improved fire prediction.