A mathematical modeling framework to optimize the climate change mitigation potential of the forest sector in British Columbia, Canada

Forests play a crucial role in the global carbon cycle, sequestering atmospheric carbon dioxide and storing it within various ecosystem pools and harvested wood products (HWPs). HWPs can further reduce greenhouse gas (GHG) emissions by substituting carbon-intensive materials and energy sources. This thesis develops an integrated mathematical modeling framework designed to simulate and optimize the climate change mitigation potential of the forest sector in British Columbia (BC), Canada. This framework consists of the Strategic Forest Management Model (SFMM), the Forest Carbon Budget Model (FCBM), and the Wood Product Carbon Model (WPCM), incorporating key carbon indicators such as the total carbon stock of the forest and the net carbon emissions from the forest. The study uses the Prince George Timber Supply Area (TSA) as the case study area. Scenarios ranging from a no-harvest approach to a maximize-harvest approach are simulated to explore the impact of management activities on forest carbon dynamics. In addition, the method used to connect SFMM and FCBM is rigorously tested to ensure the credibility and reliability of the modeling results, demonstrating the framework’s robustness in accurately predicting forest carbon dynamics under various management scenarios. This study also evaluates trade-offs between timber supply and forest carbon management. By employing the epsilon-constraint method, the research generates Pareto front curves that elucidate the quantitative trade-offs between maximizing wood supply versus maximizing total forest carbon stock or minimizing net forest carbon emissions. It reveals the inverse relationship between maximizing wood supply and forest carbon benefits. Extensive sensitivity analyses further examine how variations in the climate impacts of HWPs influence the model’s optimal forest carbon management solution, highlighting the importance of product longevity and substitution effects in carbon forestry decision-making. The research findings underscore important insights for policymakers and forest managers aiming to balance economic and climate objectives during the forest management planning process, ultimately contributing to BC’s goals of reducing GHG emissions and enhancing the forest sector’s role in climate change mitigation.

Publication Details

Journal
Open Collections
Published
2025-01-01
DOI
https://doi.org/10.14288/1.0449036
Primary Topic
Forest Management and Policy
Type
article
Field-Weighted Citation Impact
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article

A mathematical modeling framework to optimize the climate change mitigation potential of the forest sector in British Columbia, Canada

Open Collections
Forest Management and Policy
article

A mathematical modeling framework to optimize the climate change mitigation potential of the forest sector in British Columbia, Canada

article en

Abstract

Forests play a crucial role in the global carbon cycle, sequestering atmospheric carbon dioxide and storing it within various ecosystem pools and harvested wood products (HWPs). HWPs can further reduce greenhouse gas (GHG) emissions by substituting carbon-intensive materials and energy sources. This thesis develops an integrated mathematical modeling framework designed to simulate and optimize the climate change mitigation potential of the forest sector in British Columbia (BC), Canada. This framework consists of the Strategic Forest Management Model (SFMM), the Forest Carbon Budget Model (FCBM), and the Wood Product Carbon Model (WPCM), incorporating key carbon indicators such as the total carbon stock of the forest and the net carbon emissions from the forest. The study uses the Prince George Timber Supply Area (TSA) as the case study area. Scenarios ranging from a no-harvest approach to a maximize-harvest approach are simulated to explore the impact of management activities on forest carbon dynamics. In addition, the method used to connect SFMM and FCBM is rigorously tested to ensure the credibility and reliability of the modeling results, demonstrating the framework’s robustness in accurately predicting forest carbon dynamics under various management scenarios. This study also evaluates trade-offs between timber supply and forest carbon management. By employing the epsilon-constraint method, the research generates Pareto front curves that elucidate the quantitative trade-offs between maximizing wood supply versus maximizing total forest carbon stock or minimizing net forest carbon emissions. It reveals the inverse relationship between maximizing wood supply and forest carbon benefits. Extensive sensitivity analyses further examine how variations in the climate impacts of HWPs influence the model’s optimal forest carbon management solution, highlighting the importance of product longevity and substitution effects in carbon forestry decision-making. The research findings underscore important insights for policymakers and forest managers aiming to balance economic and climate objectives during the forest management planning process, ultimately contributing to BC’s goals of reducing GHG emissions and enhancing the forest sector’s role in climate change mitigation.

Open Collections
Climate action
Openalex Percentile: Top 61%
Forest Management and Policy
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A mathematical modeling framework to optimize the climate change mitigation potential of the forest sector in British Columbia, Canada · Open Collections (2025) | TGRS Research Map | TGRS