Published February 22, 2024 | Version 0

TimberTracer: A Comprehensive Framework for the Evaluation of Carbon Sequestration by Forest Management and Substitution of Harvested Wood Products.

  • 1. ROR icon Università degli Studi della Tuscia
  • 2. ROR icon Institute for Agricultural and Forest Systems in the Mediterranean
  • 3. ROR icon École Nationale Forestière d'Ingénieurs
  • 4. ROR icon Temple University
  • 5. ROR icon CMCC Foundation - Euro-Mediterranean Center on Climate Change

Description

Background

Harvested wood products (HWPs) have a pivotal role in climate change mitigation, a recognition solidified in many Nationally Determined Contributions (NDCs) under the Paris Agreement. Integrating HWPs' greenhouse gas (GHG) emissions and removals into accounting requirements relies on typical decision-oriented tools known as wood product models (WPMs). The study introduces the 'TimberTracer' (TT) framework, designed to simulate HWP carbon stock, substitution effects, and emissions from wood decay and bioenergy.  

Results

Coupled with the 3D-CMCC-FEM forest growth model, TimberTracer was applied to Laricio Pine (Pinus nigra subsp. laricio) in Italy's Bonis watershed, evaluating three forest management practices (clearcut, selective thinning, and shelterwood) and four wood-use scenarios (business as usual, increased recycling rate, extended average lifespan, and a simultaneous increase in both the recycling rate and the average lifespan) over a 140-year planning horizon, to assess the overall carbon balance of HWPs. Furthermore, this study evaluates the consequences of disregarding landfill methane emissions and relying on static substitution factors, assessing their impact on the mitigation potential of various options. This investigation, covering HWPs stock, carbon (C) emissions, and the substitution effect, revealed that selective thinning emerged as the optimal forest management scenario. Additionally, the simultaneous increase in both the recycling rate and the half-life time proved to be the optimal wood-use scenario. Finally, the analysis shows that failing to account for landfill methane emissions and the use of dynamic substitution can significantly overestimate the mitigation potential of various forest management and wood-use options, which underscores the critical importance of a comprehensive accounting in climate mitigation strategies involving HWPs.

Conclusion

Our study highlights the critical role of harvested wood products (HWPs) in climate change mitigation, as endorsed by multiple Nationally Determined Contributions (NDCs) under the Paris Agreement. Utilizing the 'TimberTracer' framework coupled with the 3D-CMCC-FEM forest growth model, we identified selective thinning as the optimal forest management practice. Additionally, enhancing recycling rates and extending product lifespans effectively bolstered the carbon balance. Moreover, this study emphasizes the necessity of accounting for landfill methane emissions and dynamic product substitution, as failing to do so may significantly overestimate the mitigation potential of implemented projects. These findings offer actionable insights to optimize forest management strategies and advance climate change mitigation efforts.

Notes

Your statement looks correct in terms of describing the dataset. It appears to compile simulation outputs from the coupling of 3D-CMCC-FEM and TimberTracer models under different management and wood use scenarios. The dataset consists of 12 Excel sheets following the format name FM_WU, where FM represents forest management scenarios (CC: Clearcut, SW: Shelterwood, ST: Selective thinning), and WU represents wood use scenarios (BAU: Business-as-Usual, Longevity, Reuse, and Sustainability). In the following the columns of each sheet which are the same between each sheet is defined: 'C_stock': Is the carbon stock of HWPs (Harvested Wood Products), 'Y_Emissions': is the yearly carbon emissions, 'C_Emissions': is the cumulative carbon emissions, 'Y_ESUB': is the yearly energy substitution, 'C_ESUB': is the cumulative energy substitution, 'Y_MSUB': is the yearly material substitution, 'C_MSUB': is the cumulative material substitution, 'Y_REC': is the yearly recycling, and 'balance': stands for the overall carbon balance [all variables expressed as tC/ha] 

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