首页|Carbon sequestration of Chinese forests from 2010 to 2060:spatiotemporal dynamics and its regulatory strategies

Carbon sequestration of Chinese forests from 2010 to 2060:spatiotemporal dynamics and its regulatory strategies

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Forestation is important for sequestering atmospheric carbon,and it is a cost-effective and nature-based solution(NBS)for mitigating global climate change.Here,under the assumption of forestation in the potential plantable lands,we used the forest carbon sequestration(FCS)model and field survey involving 3365 forest plots to assess the carbon sequestration rate(CSR)of Chinese existing and new forestation forests from 2010 to 2060 under three forestation and three climate scenarios.Without considering the influence of extreme events and human disturbance,the estimated average CSR in Chinese forests was 0.358±0.016 Pg C a-1,with partitioning to biomass(0.211±0.016 Pg C a-1)and soil(0.147±0.005 Pg C a-1),respectively.The existing forests account for approximately 93.5％of the CSR,which will peak near 2035,and decreasing trend was present overall after 2035.After 2035,effective tending man-agement is required to maintain the high CSR level,such as selective cutting,thinning,and approximate disturbance.However,new forestation from 2015 in the potential plantable lands would play a minimal role in additional CSR increases.In China,the CSR is generally higher in the Northeast.Southwest,and Central-South,and lower in the Northwest.Considering the potential losses through deforestation and logging,it is realistically estimated that CSR in Chinese forests would remain in the range of 0.161-0.358 Pg C a-1 from 2010 to 2060.Overall,forests have the potential to offset 14.1％of the national anthropogenic carbon emissions in China over the period of 2010-2060,significantly contributing to the carbon neutrality target of 2060 with the implementation of effective management strategies for existing forests and expansion of forestation.

ForestCarbon sequestrationStorageForestationCarbon neutrality

Weixiang Cai、Nianpeng He、Mingxu Li、Li Xu、Longzhu Wang、Jianhua Zhu、Nan Zeng、Pu Yan、Guoxin Si、Xiaoquan Zhang、Xiaoyu Cen、Guirui Yu、Osbert Jianxin Sun

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School of Ecology and Nature Conservation,Beijing Forestry University,Beijing 100083,China

Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China

College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China

Center for Ecological Research,Northeast Forestry University,Harbin 150040,China

Beijing Representative Office,the Nature Conservancy,Beijing 100600,China

Institute of Forest Ecology,Environment and Protection,Chinese Academy of Forestry,Beijing 100091,China

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国家自然科学基金国家自然科学基金National Science and Technology Basic Resources Survey Program of ChinaYouth Innovation Research Project from Key Laboratory of Ecosystem Network Observation and Modeling,Chinese Academy of ScienMaps in this arti-cle were reviewed by Ministry of Natural Resources of the People's Republic of China

31988102321715442019FY101300GS[2021]7938

2022

科学通报(英文版)
中国科学院

科学通报(英文版)

CSTPCDCSCDSCI
ISSN：1001-6538
年,卷(期)：2022.67(8)
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