Resolving carbon–timber trade-offs through age-structured forest management in China

Abstract Forests are critical for climate mitigation, yet minimizing harvesting may accelerate forest aging and mortality, potentially constraining long-term carbon sequestration while increasing timber dependence. Using 15.5 million tree records from China’s National Forest Inventory and a spatially explicit forest dynamics model, we assessed how alternative harvesting strategies affect carbon storage and wood production through 2100 under climate change. We show that current low-intensity harvesting promotes forest aging and mortality over time, reducing carbon-retention efficiency. In contrast, age-structured and spatially differentiated harvesting, expanded to suitable multifunctional forests, maintains more dynamic forest age structures, lowers mortality losses, increases total forest carbon stocks by 4.2%, and enhances timber production by 38% relative to current management regime. Despite modest reductions in standing biomass, gains in harvested wood products and reduced mortality have potential to generate a net climate benefit. Our results demonstrate that optimizing forest age structure through rational harvesting can reconcile carbon sequestration and wood supply, providing a scalable pathway for sustainable forest management.

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Publication Details

Journal
National Science Review
Published
2026-10-27
DOI
https://doi.org/10.1093/nsr/nwag677
Primary Topic
Forest Management and Policy
Type
article
Field-Weighted Citation Impact
0.00

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article

Resolving carbon–timber trade-offs through age-structured forest management in China

Josep Peñuelas, Evgenios Agathokleous, Stephen A. Sitch, Weibin You et al.
2 links
National Science Review
Forest Management and Policy
article

Resolving carbon–timber trade-offs through age-structured forest management in China

Josep Peñuelas, Evgenios Agathokleous, Stephen A. Sitch, Weibin You, Pengsen Sun, Yanli Dong, Liqing Peng, Hanqin Tian, Zhen Yu, Yude Pan, Weiguo Liu, Shirong Liu
article en

Abstract

Abstract Forests are critical for climate mitigation, yet minimizing harvesting may accelerate forest aging and mortality, potentially constraining long-term carbon sequestration while increasing timber dependence. Using 15.5 million tree records from China’s National Forest Inventory and a spatially explicit forest dynamics model, we assessed how alternative harvesting strategies affect carbon storage and wood production through 2100 under climate change. We show that current low-intensity harvesting promotes forest aging and mortality over time, reducing carbon-retention efficiency. In contrast, age-structured and spatially differentiated harvesting, expanded to suitable multifunctional forests, maintains more dynamic forest age structures, lowers mortality losses, increases total forest carbon stocks by 4.2%, and enhances timber production by 38% relative to current management regime. Despite modest reductions in standing biomass, gains in harvested wood products and reduced mortality have potential to generate a net climate benefit. Our results demonstrate that optimizing forest age structure through rational harvesting can reconcile carbon sequestration and wood supply, providing a scalable pathway for sustainable forest management.

National Science Review
Boston College (US), US Forest Service (US), Nanjing University of Information Science and Technology (CN), University of Exeter (GB), Education University of Hong Kong (HK), Chinese Academy of Forestry (CN), Centre for Research on Ecology and Forestry Applications (ES), Research Institute of Forestry Policy and Information (CN), Institute of Forest Ecology, Environment and Protection (CN), Global Ecology Unit CREAF-CSIC-UAB (ES), Fujian Agriculture and Forestry University (CN), University of Hong Kong (HK), Northwest A&F University (CN)
National Science Foundation, Natural Science Foundation of Jiangsu Province, National Key Research and Development Program of China
Climate action, Life on land
Openalex Percentile: Top 17%
Forest Management and Policy
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