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Type: Journal Article
Author(s): Carolyn E. Smyth; Sheng Xie; Tristan Zaborniak; Max Fellows; Carly A. Phillips; Werner A. Kurz
Publication Date: 2023

Having recently experienced the three worst wildfire seasons in British Columbia's history in 2017, 2018 and 2021, and anticipating more severe impacts in the future, a key Carbon (C) research priority is to develop reliable models to explore options and identify a portfolio of regionally differentiated solutions for wildfire and forest management. We contribute to this effort by developing a prototype integrated C modeling framework which includes future wildfires that respond to forest stand characteristics and wildfire history. Model validation evaluated net GHG emissions relative to a ‘do-nothing’ baseline for several management scenarios and included emissions from forest ecosystems, harvested wood products and substitution benefits from avoided fossil fuel burning and avoided emissions-intensive materials. Data improvements are needed to accurately quantify the baseline and scenario GHG emissions, and to identify trade-offs and uncertainties.

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Citation: Smyth, C.; Xie, S.; Zaborniak, T.; Fellows, M.; Phillips, C.; Kurz, W.A. 2023. Development of a prototype modeling system to estimate the GHG mitigation potential of forest and wildfire management. MethodsX 10:101985.

Cataloging Information

  • British Columbia
  • Canada
  • climate change mitigation
  • GCBM - Generic Carbon Budget Model
  • greenhouse gases
  • reduction
  • wildfire
Record Last Modified:
Record Maintained By: FRAMES Staff (
FRAMES Record Number: 67250