Evidence map›Paper›PMID 40450091›Full record

ArticleCarbon balance and management2025

TimberTracer: a comprehensive framework for the evaluation of carbon sequestration by forest management and substitution of harvested wood products.

I Boukhris, A Collalti, S Lahssini, D Dalmonech, F Nakhle, R Testolin, M V Chiriacò, M Santini, R Valentini

Abstract read
In one paragraph

Article in Carbon balance and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

I BoukhrisForest Ecology Lab, Department for Innovation in Biological, Agri-Food and Forest Systems (DIBAF), University of Tuscia, 01100, Viterbo, Italy. issam.boukhris@unitus.it.
A CollaltiForest Modeling Lab, Institute for Agriculture and Forestry Systems in the Mediterranean, National Research Council of Italy (CNR-ISAFOM), Via Madonna Alta 128, 06128, Perugia, Italy. alessio.collalti@cnr.it.
S LahssiniDepartment of Forest Development, National School of Forest Engineers, 11000, Salé, Morocco.
D DalmonechForest Modeling Lab, Institute for Agriculture and Forestry Systems in the Mediterranean, National Research Council of Italy (CNR-ISAFOM), Via Madonna Alta 128, 06128, Perugia, Italy.
F NakhleDepartment of Computer Science, Temple University, Setagaya City, Japan Campus, Tokyo, 154-004, Japan.
R TestolinForest Modeling Lab, Institute for Agriculture and Forestry Systems in the Mediterranean, National Research Council of Italy (CNR-ISAFOM), Via Madonna Alta 128, 06128, Perugia, Italy.
M V ChiriacòCMCC Foundation-Euro-Mediterranean Center On Climate Change, Via Marco Biagi 5, 73100 , Lecce, Italy.
M SantiniCMCC Foundation-Euro-Mediterranean Center On Climate Change, Via Marco Biagi 5, 73100 , Lecce, Italy.
R ValentiniForest Ecology Lab, Department for Innovation in Biological, Agri-Food and Forest Systems (DIBAF), University of Tuscia, 01100, Viterbo, Italy.

Funding

National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4 - Call for tender No. 3138 of December 16, 2021, rectified by Decree n.3175 of December 18, 2021 of Italian Ministry of University and Research funded by the European Union - NextGenerationEU CN_00000033, Concession Decree No. 1034 of June 17, 2022 adopted by the Italian Ministry of University and Research, CUP B83C22002930006, Project title "National Biodiversity Future Centre - NBFCNational Research Centre for Agricultural Technologies - AGRITECH - PNRR (Italian National Plan of Recovery and Resilience) CN00000022 in WP 4.3 Task 3 Risk management strategies and policies in the context of climate change.
6 · The paper itself

Abstract

backgroundHarvested 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.

resultsCoupled 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. In addition, a simultaneous 10% increase in both the recycling rate and half-life, under the so-called "sustainability" scenario, proved to be the optimal wood-use strategy. 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.

conclusionsOur 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 lifespan 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.

Identifiers

PMID40450091
PMCPMC12126877

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.