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DOI:10.16418/j.issn.1000-3045.20210304002
中国科学院院刊:2021,36(3):351-361
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温带次生林生态系统塔群监测研究平台(清原科尔塔群)
朱教君1,2,3, 高添1,2,3, 于立忠1,2,3, 于丰源1,2,3, 杨凯1,2,3, 卢德亮1,2,3, 闫巧玲1,2,3, 孙一荣1,2,3, 刘利芳1,2,3, 徐爽1,2,3, 张金鑫1,2,3, 郑晓1,2,3, 宋立宁1,2,3, 周新华3,4
(1.中国科学院沈阳应用生态研究所 沈阳 110016;2.中国科学院清原森林生态系统观测研究站 沈阳 110016;3.科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016;4.美国坎贝尔科学仪器公司 洛根 UT 84321)
Functions and Applications of Multi-tower Platform of Qingyuan Forest Ecosystem Research Station of Chinese Academy of Sciences (Qingyuan Ker Towers)
ZHU Jiaojun1,2,3, GAO Tian1,2,3, YU Lizhong1,2,3, YU Fengyuan1,2,3, YANG Kai1,2,3, LU Deliang1,2,3, YAN Qiaoling1,2,3, SUN Yirong1,2,3, LIU Lifang1,2,3, XU Shuang1,2,3, ZHANG Jinxin1,2,3, ZHENG Xiao1,2,3, SONG Lining1,2,3, ZHOU Xinhua3,4
(1.Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;2.Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China;3.CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China;4.Campbell Scientific Inc., Logan, UT 84321, USA)
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投稿时间:2021-03-04    
中文摘要: 森林生态系统结构调控与功能优化是森林生态与管理的核心研究主题。然而,受技术与理论限制,复杂地形下森林三维精细结构监测能力不足、功能估测精度不高;森林生态系统结构的复杂性和人类社会对其服务功能的迫切需求对上述研究主题提出前所未有的挑战。在中国科学院野外站网络重点科技基础设施建设项目的支持下,中国科学院清原森林生态系统观测研究站于2019年在典型独立小流域内建成了观测塔群(3座观测塔)、水文站网、长期固定样地群,辅以综合数据中心;打造以激光雷达为主要森林结构监测、以涡动通量系统和水文站网为主要功能监测手段的“温带次生林生态系统塔群监测研究平台”(以下简称“科尔塔群”)。科尔塔群集成了观测塔群-水文站网-长期固定样地群,构成以遥感技术-涡度相关法-测树学法-森林信息学法为主要手段的协同、跨学科观测体系,具有多方法、多尺度、多要素的核心特征,可开展多类相关研究以满足国家需求、探索国际前沿。基于上述优势,科尔塔群可准确获取森林三维结构,以全息新视角探索森林生态学规律,发展复杂地形下森林生态系统碳-氮-水和其他痕量气体通量观测新理论与方法,研究全球变化背景下森林生态系统碳-氮-水等循环过程与响应,阐明森林水文过程及调控机制,为森林结构调控与功能优化提供基础数据和理论支持,使森林为人类社会提供广泛且可持续的生态服务。
中文关键词: 塔群  温带森林  次生林生态系统  激光雷达  冠层三维结构  涡度相关  碳-氮-水耦合过程  全球变化  协同观测
Abstract:The structure regulation and function optimizations of forest-ecosystems are fundamental and significant topics on ecology & management of forests. However, due to the limitations in theories and technologies to describe the three-dimensional forest structure for complex terrain and to precisely evaluate the structure-associated functions, these topics have been challenged by the complications in canopy structure and the urgencies in various societal demands towards forest ecosystem services. To face against the challenge, Chinese Academy of Sciences (CAS) funded the "Multi-tower Platform for Monitoring the Structure and Function of Temperate Secondary Forest Ecosystems" (Qingyuan Ker Towers) as a corner-stone research infrastructure project for the field station network. Ker Towers were completed in 2019 by Qingyuan Forest CERN (Chinese Ecosystem Research Network) inside a distinctively-bounded and monitored-outlet watershed. The three towers, hydrology station networks, and forest plot arrays uniquely formed the Ker Towers research facilities as a synthesized platform. This platform was integrated with the light detection and ranging scanners for acquisition of holographic information on forest canopy structure, the advanced eddy covariance flux systems for the measurements of CO2/H2O, trace gases, and energy fluxes between the watershed forest systems and the atmosphere, and the hydrology station networks for observations of ground/underground water flows. All real-time data from the platform are streamed into a live data center. The platform including remote sensing technology, eddy covariance, biometry (or inventory), forest informatics and collaborative and interdisciplinary team prominently builds up multiple approaches and essential elements at different scales to fulfill comprehensive projects in response to national needs and international concerns as well. The Ker Towers team mainly focuses on the four tasks:(1) explore forest ecological principles for a new vision of holographic information in describing forest three-dimensional structure; (2) innovate theories and techniques to measure the fluxes of CO2/H2O/NOx and the other trace gases over complex forest terrains; (3) understand the response of carbon and nitrogen cycles in forest ecosystems to global change; and (4) demonstrate the hydrologic processes in forest ecosystems and its regulating mechanism. The four above tasks aim to provide fundamental data and theoretical support to to optimize and sustain forest functions through forest structure management. The ultimate objective of the platform is to deliver solutions for regional and national forests to offer broad and sustainable benefits to human society.
keywords: multi-tower  temperate forest  secondary forest ecosystem  LiDAR  3-dementional canopy structure  eddy covariance  carbon-nitrogen-water coupling cycles  global change  collaborative observation
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作者单位
朱教君 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
高添 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
于立忠 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
于丰源 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
杨凯 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
卢德亮 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
闫巧玲 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
孙一荣 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
刘利芳 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
徐爽 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
张金鑫 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
郑晓 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
宋立宁 中国科学院沈阳应用生态研究所 沈阳 110016
中国科学院清原森林生态系统观测研究站 沈阳 110016
科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016 
周新华 科尔森林痕量气体与同位素通量监测研发联合实验室 沈阳 110016
美国坎贝尔科学仪器公司 洛根 UT 84321 
Author NameAffiliation
ZHU Jiaojun Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
GAO Tian Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
YU Lizhong Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
YU Fengyuan Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
YANG Kai Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
LU Deliang Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
YAN Qiaoling Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
SUN Yirong Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
LIU Lifang Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
XU Shuang Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
ZHANG Jinxin Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
ZHENG Xiao Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
SONG Lining Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Qingyuan Forest CERN, Chinese Academy of Sciences, Shenyang 110016, China
CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China 
ZHOU Xinhua CAS-CSI Joint Laboratory of Research and Development for Monitoring Forest Fluxes of Trace Gases and Isotope Elements, Shenyang 110016, China
Campbell Scientific Inc., Logan, UT 84321, USA 
引用文本:
朱教君,高添,于立忠,于丰源,杨凯,卢德亮,闫巧玲,孙一荣,刘利芳,徐爽,张金鑫,郑晓,宋立宁,周新华.温带次生林生态系统塔群监测研究平台(清原科尔塔群)[J].中国科学院院刊,2021,36(3):351-361.
ZHU Jiaojun,GAO Tian,YU Lizhong,YU Fengyuan,YANG Kai,LU Deliang,YAN Qiaoling,SUN Yirong,LIU Lifang,XU Shuang,ZHANG Jinxin,ZHENG Xiao,SONG Lining,ZHOU Xinhua.Functions and Applications of Multi-tower Platform of Qingyuan Forest Ecosystem Research Station of Chinese Academy of Sciences (Qingyuan Ker Towers)[J].Bulletin of Chinese Academy of Sciences,2021,36(3):351-361.
 
 
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