Development of a prototype modeling system to estimate the GHG mitigation potential of forest and wildfire management

MethodsX. 2022 Dec 23:10:101985. doi: 10.1016/j.mex.2022.101985. eCollection 2023.

Abstract

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. • A Fire Tolerant scenario included post-fire restoration with planting of climatically suitable fire-resistant species and salvage harvest in place of clearcut harvest.

Keywords: Climate change mitigation; GCBM; Prototype modeling system to estimate the GHG mitigation potential of forest and wildfire management; Restoration; Wildfire reduction.