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Lengthening vegetation carbon turnover time across China's forests  ( EI收录)   被引量:73

文献类型:期刊文献

英文题名:Lengthening vegetation carbon turnover time across China's forests

作者:Ge, Rong[1,2] Ren, Xiaoli[1,3] He, Honglin[1,3,4] Yu, Guirui[1,3,4] Zhang, Li[1,3,4] Xu, Qian[1,5] Zhang, Mengyu[1,5] Piao, Shilong[6,7,8] Yu, Kailiang[9] Williams, Mathew[10] Zhu, Xiaobo[11] Yu, Shiyong[12] Yang, Yuanhe[4,13] Zhou, Tao[14] He, Jin-Sheng[15,16,17] Chen, Dexiang[18] Lin, Luxiang[19] Ye, Qing[20] Liu, Juxiu[20] Fan, Zexin[19] Wang, Qingkui[21] Xiang, Wenhua[22] Xie, Zongqiang[4,13] Shi, Fusun[23] Zhang, Qibing[13] Wang, Yangang[24] Wang, Anzhi[4,25] Zhang, Qiuliang[26]

第一作者:Ge, Rong

机构:[1] Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; [2] Institute of Natural Resources and Environmental Audits, School of National Audit, Nanjing Audit University, Nanjing, 211815, China; [3] National Ecosystem Science Data Center, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China; [4] College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China; [5] University of Chinese Academy of Sciences, Beijing, 100049, China; [6] College of Urban and Environmental Sciences, Sino-French Institute for Earth System Science, Peking University, Beijing, 100871, China; [7] Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China; [8] Center for Excellence in Tibetan Earth Science, Chinese Academy of Sciences, Beijing, 100101, China; [9] High Meadows Environmental Institute, Princeton University, Princeton, NJ, 08544, United States; [10] School of GeoSciences and National Centre for Earth Observation, University of Edinburgh, Edinburgh, EH9 3FF, United Kingdom; [11] Chongqing Engineering Research Center for Spatial Big Data Intelligent Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China; [12] School of Geography, Geomatics, and Planning, Jiangsu Normal University, Xuzhou, 221116, China; [13] State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China; [14] State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing, 100875, China; [15] Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China; [16] College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China; [17] State Key Laboratory of Grassland Agro-ecosystems, Lanzhou, 730020, China; [18] Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China; [19] Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, 666303, China; [20] Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystem, Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China; [21] Huitong Experimental Station of Forest Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China; [22] School of Life Science and Technology, Central South University of Forestry and Technology, Changsha, 410004, China; [23] Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China; [24] Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100190, China; [25] Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China; [26] College of Forestry, Inner Mongolia Agricultural University, Hohhot, 010018, China

年份:2026

外文期刊名:Science Bulletin

收录:EI(收录号:20260620019642)

语种:英文

外文关键词:Carbon - Carbon capture - Carbon cycle - Carbon Economy - Carbon sequestration - Climate change - Data assimilation - Dynamics - Forest ecology - Forestry - Surface measurement

摘要:Vegetation carbon turnover time (τveg) dominates the uncertainty in terrestrial carbon cycle dynamics. Reports have shown that the τveg 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 τveg in widespread younger forests, which exhibit different growth patterns, remains inconclusive. Here, we consistently revealed a significant overall increase in τveg (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 CO2 accelerate vegetation growth, causing it to grow faster than it dies or decomposes, leading to increases in the τveg. The effects of forest age on τveg dynamics and the high sensitivity of enhanced carbon sinks to τveg should be incorporated into future land surface models to ensure that the τveg 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. ? 2026 The Authors

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