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From carbon neutral to climate neutral: Dynamic life cycle assessment for wood-based panels produced in China


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Wang, Shanshan, Chen, Jiaxin, Ter-Mikaelian, Michael T., Levasseur, Annie and Yang, Hongqiang. 2022. « From carbon neutral to climate neutral: Dynamic life cycle assessment for wood-based panels produced in China ». Journal of Industrial Ecology, vol. 26, nº 4. pp. 1437-1449.
Compte des citations dans Scopus : 7.

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The forestry sector is crucial in supporting climate change mitigation, where the mitigation potential is assessed by combining forest carbon analysis and wood product life cycle assessment (LCA). Static LCA (sLCA) is the approach commonly used in national forestry mitigation models worldwide. Static GHG effects are calculated as a running total of emissions and removals, which are often used to imply climate effects. Also, carbon neutrality, a state when the GHG effects equal zero, is used to imply neutral climate effects. However, until carbon neutrality is achieved, the increased emissions contribute to climate warming. Dynamic LCA (dLCA) is an improved method to estimate climate effects by considering the atmospheric dynamics and heat trapping capacity of different GHGs. Climate neutrality is a state when the warming effects caused by increased emissions are fully compensated by warming reduction contributed by removals. We applied dLCA and sLCA to China-made wood-based panels produced from 1990 to 2018 by harvesting poplar plantations. Our results suggested that, compared to dLCA results, static GHG effects largely underestimated climate warming effects or overestimated mitigation contributions. Also, decades or longer was required to achieve climate neutrality following carbon neutrality, if achievable. So, within a given timeframe, a forestry mitigation activity can achieve carbon neutrality but increase climate warming, hindering the goal of limiting global temperature rise that was set in the 2015 Paris Agreement. Thus, to assess climate warming effects, using dLCA in addition to GHG effects is essential for forestry mitigation analysis.

Item Type: Peer reviewed article published in a journal
Levasseur, Annie
Affiliation: Génie de la construction
Date Deposited: 02 Jun 2022 19:00
Last Modified: 18 Jul 2023 20:34

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