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作 者:Yanli Dong Zhen Yu Evgenios Agathokleous Guoyi Zhou Shirong Liu
机构地区:[1]Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science and Technology,Nanjing 210044,People’s Republic of China [2]Key Laboratory of Ecosystem Carbon Source and Sink,China Meteorological Administration(ECSS-CMA),Nanjing University of Information Science and Technology,Nanjing 210044,People’s Republic of China [3]Institute of Ecology and School of Ecology Applied Meteorology,Nanjing University of Information Science and Technology,Nanjing 210044,People’s Republic of China [4]Key Laboratory of Forest Ecology and Environment,China’s National Forestry and Grassland Administration,Institute of Forest Ecology,Environment and Protection,Chinese Academy of Forestry,Beijing 100091,People’s Republic of China
出 处:《Journal of Forestry Research》2024年第6期368-372,共5页林业研究(英文版)
基 金:supported by China National Science Foundation(No.32371663,32361143869,32001166,and 42130506);the National Key Research and Development Program of China(No.2021YFD2200405);the Special Technology Innovation Fund of Carbon Peak and Carbon Neutrality in Jiangsu Province(No.BK20231515).
摘 要:Global forests are increasingly crucial for achiev-ing net-zero carbon emissions,with a quarter of the miti-gation efforts under the Paris Climate Agreement directed towards forests.In China,forests currently contribute to 13%of the global land’s carbon sink,but their stability and per-sistence remain uncertain.We examined and identified that published studies suffered from oversimplifications of eco-system succession and tree demographic dynamics,as well as poor constraints on land quality.Consequently,substan-tial estimations might have been suffered from underrepre-sented or ignored crucial factors,including tree demographic dynamics,and disturbances and habitat shifts caused by global climate change.We argue that these essential factors should be considered to enhance the reliability and accuracy of assessments of the potential for forest carbon sinks.
分 类 号:X196[环境科学与工程—环境科学]
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