Lengthening vegetation carbon turnover time across China’s forests

Vegetation carbon turnover time (τ<sub>veg</sub>) dominates the uncertainty in terrestrial carbon cycle dynamics. Reports have shown that the τ<sub>veg</sub> of mature or old-growth forests in North America and Europe has decreased because of faster carbon loss under global climate change. However, the temporal trend of τ<sub>veg</sub> in widespread younger forests, which exhibit different growth patterns, remains inconclusive. Here, we consistently revealed a significant overall increase in τ<sub>veg</sub> (0.025 ± 0.002 years per year) across China's forests that are characterized by a relatively young forest age structure, using multisource data-model assimilation and long-term network observations. In young forests that receive high nitrogen deposition, increasing levels of CO<sub>2</sub> accelerate vegetation growth, causing it to grow faster than it dies or decomposes, leading to increases in the τ<sub>veg</sub>. The effects of forest age on τ<sub>veg</sub> dynamics and the high sensitivity of enhanced carbon sinks to τ<sub>veg</sub> should be incorporated into future land surface models to ensure that the τ<sub>veg</sub> dynamics and their impacts on terrestrial carbon cycling and climate mitigation are accurately assessed. Our results also provide valuable insights for forest management aimed at enhancing carbon retention and sequestration through optimizing age-related stand dynamics.

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Publication Details

Journal
Science Bulletin
Published
2026-01-27
DOI
https://doi.org/10.1016/j.scib.2026.01.050
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
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article

Lengthening vegetation carbon turnover time across China’s forests

Qing Ye, Qiuliang Zhang, Wenhua Xiang, Xiaoli Ren et al.
Science Bulletin
Plant Water Relations and Carbon Dynamics
article

Lengthening vegetation carbon turnover time across China’s forests

Qing Ye, Qiuliang Zhang, Wenhua Xiang, Xiaoli Ren, Qibing Zhang, Qian Xu, Honglin He, Qingkui Wang, Kailiang Yu, Guirui Yu, Yuanhe Yang, Jin-Sheng He, Rong Ge, Tao Zhou, Mathew Williams, Mengyu Zhang, Anzhi Wang, Dexiang Chen, Yangang Wang, Juxiu Liu, Zongqiang Xie, Li Zhang, Fusun Shi, Shilong Piao, Luxiang Lin, Xiaobo Zhu, Zexin Fan, Shiyong Yu
article en

Abstract

Vegetation carbon turnover time (τ<sub>veg</sub>) dominates the uncertainty in terrestrial carbon cycle dynamics. Reports have shown that the τ<sub>veg</sub> of mature or old-growth forests in North America and Europe has decreased because of faster carbon loss under global climate change. However, the temporal trend of τ<sub>veg</sub> in widespread younger forests, which exhibit different growth patterns, remains inconclusive. Here, we consistently revealed a significant overall increase in τ<sub>veg</sub> (0.025 ± 0.002 years per year) across China's forests that are characterized by a relatively young forest age structure, using multisource data-model assimilation and long-term network observations. In young forests that receive high nitrogen deposition, increasing levels of CO<sub>2</sub> accelerate vegetation growth, causing it to grow faster than it dies or decomposes, leading to increases in the τ<sub>veg</sub>. The effects of forest age on τ<sub>veg</sub> dynamics and the high sensitivity of enhanced carbon sinks to τ<sub>veg</sub> should be incorporated into future land surface models to ensure that the τ<sub>veg</sub> dynamics and their impacts on terrestrial carbon cycling and climate mitigation are accurately assessed. Our results also provide valuable insights for forest management aimed at enhancing carbon retention and sequestration through optimizing age-related stand dynamics.

Science BulletinVol. 71(5)
Chongqing University of Posts and Telecommunications (CN), Jiangsu Normal University (CN), Central South University of Forestry and Technology (CN), Inner Mongolia Agricultural University (CN), Central South University (CN), Chinese Academy of Sciences (CN), Princeton University (US), Beijing Normal University (CN), Beijing Botanical Garden (CN), Xishuangbanna Tropical Botanical Garden (CN), Research Institute of Tropical Forestry (CN), Computer Network Information Center (CN), Institute of Applied Ecology (CN), South China Botanical Garden (CN), National Centre for Earth Observation (GB), Chinese Academy of Forestry (CN), Institute of Tibetan Plateau Research (CN), Center for Excellence in Tibetan Plateau Earth Sciences (CN), Chengdu Institute of Biology (CN), Institute of Botany (CN), Institute of Geographic Sciences and Natural Resources Research (CN), Lanzhou University (CN), University of Edinburgh (GB)
Climate action
Openalex Percentile: Top 84%
Plant Water Relations and Carbon Dynamics
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