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Chinese Journal of Ecology ›› 2023, Vol. 42 ›› Issue (12): 3050-3054.doi: 10.13292/j.1000-4890.202312.024

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Methods of “Three-dimensional and Holographic” observation for forest ecosystems centered on “Multi-Tower”.

ZHU Jiaojun1,2,3,4*, GAO Tian1,2,3,4, ZHANG Jinxin1,2,3,4, SUN Yirong1,2,3,4, SUN Tao1, LIU Zhihua1, YU Lizhong1,2,3,4, LU Deliang1,2,3,4, YU Fengyuan1,2,3,4, TENG Dexiong1,2,3,4, YAN Qiaoling1,2,3,4, YANG Kai1,2,3,4, SONG Lining1,2,3,4, ZHENG Xiao1,2,3,4, WANG Xugao1, WANG Qingwei1, LIANG Yu1, LI Huidong1, LIU Lifang1,2,3,4, XU Shuang1,2,3,4, LIU Huaqi1,2,3,4, HU Yanyang1,2,3,4, LI Xiufen2,4,5, WANG Zongguo6, ZHOU Xinhua2,4,7#br#

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  1. (1CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; 2Qingyuan Forest CERN, National Observation and Research Station, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; 3Liaoning Key Laboratory for Management of Non-commercial Forest, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China; 4CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China; 5Shenyang Agricultural University, Shenyang 110866, China; 6Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; 7Campbell Scientific Inc., Logan, UT 84321, USA).

  • Online:2023-12-10 Published:2024-06-10

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Abstract: The research on forest ecology should develop towards more macroscopic and more microscopic at spatiotemporal scales, which has challenged traditional approaches for ecological observation. With the development of information technology, shifts in the research paradigm are critically needed. Based on  Ker Towers as a Corner-Stone Research Infrastructure Project in Qingyuan Forest CERN, National Observation and Research Station, we propose a framework of “space-air-tower-ground” for integrated observation and research with the tower(s) as the center. The framework includes four components: active/passive satellite-based remote sensing (space), near-ground remote sensing platform by unmanned aerial vehicle with LiDAR and multi/hyperspectral sensors (air), tower group or single tower (tower), and long-term forest plot arrays (ground). Along with information technology such as the Internet of Things, cloud computation and artificial intelligence, data acquisition, transmission, computation, analyzation and display can be achieved to develop an information technology-based “three-dimensional and holographic” observation and research in forest ecology. This framework would promote knowledge innovation in forest ecology, ecosystem ecology, and forest science, and provide insights toward the paradigm shifts in geography, remote sensing science, boundary layer meteorology, and other disciplines.


Key words: forest three-dimensional structure, holography, Light Detection and Ranging (LiDAR), eddy covariance, multi-scale data fusion.