China's forests host a vast,previously unquantified population of old treesOA
China's forests host a vast,previously unquantified population of old trees
Yu Ren;Ang Chen;Yu Li;Zhixin Cheng;Heng Zhang;Guangcai Xu;Yongchuan Yang;Qinghua Guo;Kai Cheng;Junmin Zhang;Tianyu Xiang;Yuting Xu;Shu Yang;Ying Li;Ouya Fang;Qiuli Yang
Institute of Remote Sensing and Geographic Information System,School of Earth and Space Sciences,Peking University,ChinaInstitute of Remote Sensing and Geographic Information System,School of Earth and Space Sciences,Peking University,ChinaInstitute of Remote Sensing and Geographic Information System,School of Earth and Space Sciences,Peking University,ChinaInstitute of Remote Sensing and Geographic Information System,School of Earth and Space Sciences,Peking University,ChinaBeijing GreenValley Technology Co.,Ltd,ChinaBeijing GreenValley Technology Co.,Ltd,ChinaKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment,Ministry of Education,Chongqing University,ChinaInstitute of Remote Sensing and Geographic Information System,School of Earth and Space Sciences,Peking University,ChinaInstitute of Remote Sensing and Geographic Information System,School of Earth and Space Sciences,Peking University,ChinaCollege of Environment and Civil Engineering,Chengdu University of Technology,ChinaCollege of Geography and Planning,Chengdu University of Technology,ChinaLin'an Branch of Hangzhou Ecology and Environment Bureau,ChinaLin'an Branch of Hangzhou Ecology and Environment Bureau,ChinaBeijing Institute of Landscape Architecture and Traditional Architectural Design and Research Co.Ltd.,ChinaKey Laboratory of Vegetation and Environmental Change,Institute of Botany,Chinese Academy of Sciences,ChinaCollege of Geography and Remote Sensing Science,Xinjiang University,China||Xinjiang Key Laboratory of Oasis Ecology,Xinjiang University,China||Xinjiang Field Scientific Observation and Research Station for the Oasisization Process in the Hinterland of the Taklamakan Desert,China
《国家科学评论（英文版）》 2026 (9)
21-24,4
This work was supported by the National Key Research and Development Program of China(2022YFF1300202),the Key Program of the National Natural Science Foundation of China(42530503),and the National Natural Science Foundation of China(32501468 and 42371329).
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