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Bulletin of Chinese Academy of Sciences (Chinese Version)

Authors

Jiaojun ZHU, 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, ChinaFollow
Tian GAO, 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
Lizhong YU, 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
Fengyuan YU, 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
Kai YANG, 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
Deliang LU, 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
Qiaoling YAN, 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
Yirong SUN, 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
Lifang LIU, 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
Shuang XU, 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
Jinxin ZHANG, 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
Xiao ZHENG, 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
Lining SONG, 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

Keywords

multi-tower, temperate forest, secondary forest ecosystem, LiDAR 3-dementional canopy structure, eddy covariance, carbon-nitrogen-water coupling cycles, global change, collaborative observation

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.

First page

351

Last Page

361

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 刘世荣,代力民,温远光,等.面向生态系统服务的森林生态系统经营:现状、挑战与展望.生态学报, 2015, 35(1):1-9.

2 朱教君,闫巧玲,于立忠,等.根植森林生态研究与试验示范,支撑东北森林生态保护恢复与可持续发展.中国科学院院刊, 2018, 33(1):107-118.

3 方精云,唐艳鸿, Son Yowhan.碳循环研究:东亚生态系统为什么重要.中国科学:生命科学, 2010, 40(7):561-565.

4 Belcher S E, Finnigan J J, Harman I N. Flows through forest canopies in complex terrain. Ecological Applications, 2008, 18(6):1436-1453.

5 高添,于立忠,于丰源,等.中国科学院清原森林生态系统观测研究站塔群平台的功能和应用.应用生态学报, 2020, 31(3):695-705.

6 Medina-Vega J A, Bongers F, Schnitzer S A, et al. Lianas explore the forest canopy more effectively than trees under drier conditions. Functional Ecology, 2021, 35(2):318-329.

7 郭庆华,刘瑾,陶胜利,等.激光雷达在森林生态系统监测模拟中的应用现状与展望.科学通报, 2014, 59(6):459- 478.

8 Schneider F D, Kükenbrink D, Schaepman M E, et al. Quantifying 3D structure and occlusion in dense tropical and temperate forests using close-range LiDAR. Agricultural and Forest Meteorology, 2019, 268:249-257

9 Wofsy S C, Goulden M L, Munger J W, et al. Net Exchange of CO

2 in a mid-latitude forest. Science, 1993, 260:1314-1317.

10 Barford C C, Wofsy S C, Goulden M L, et al. Factors controlling long-and short-term sequestration of atmospheric CO

2 in a mid-latitude forest. Science, 2001, 294:1688-1691.

11 Wehr R, Munger J W, McManus J B, et al. Seasonality of temperate forest photosynthesis and daytime respiration. Nature, 2016, 534:680-683.

12 Novick K A, Biederman J A, Desai A R, et al. The AmeriFlux network:A coalition of the willing. Agricultural and Forest Meteorology, 2018, 249:444-456.

13 Berbigier P, Bonnefond J M, Mellmann P. CO2 and water vapour fluxes for 2 years above Euroflux forest site. Agricultural and Forest Meteorology, 2001, 108:183-197.

14 Beringer J, Hutley L B, McHugh I, et al. An introduction to the Australian and New Zealand flux tower network-OzFlux. Biogeosciences, 2016, 13:5895-5916. 15于贵瑞,张雷明,孙晓敏.中国陆地生态系统通量观测研究网络(ChinaFLUX)的主要进展及发展展望.地理科学进展, 2014, 33(7):903-917.

16 Wei X H, Li Q, Zhang M F, et al. Vegetation cover-another dominant factor in determining global water resources in forested regions. Global Change Biology, 2018, 24(2):786- 795. 17王兴昌,王传宽.森林生态系统碳循环的基本概念和野外测定方法评述.生态学报, 2015, 35(13):4241-4256.

18 Li X F, Zhu J, Lange H, et al. A modified ingrowth core method for measuring fine root production, mortality and decomposition in forests. Tree Physiology, 2013, 33(1):18-25.

19 Yu Y, Gao T, Zhu J J, et al. Terrestrial laser scanning-derived canopy interception index for predicting rainfall interception. Ecohydrology, 2020, 13(5):e2212.

20 Lu D L, Zhu J J, Wu D N, et al. Detecting dynamics and variations of crown asymmetry induced by natural gaps in a temperate secondary forest using terrestrial laser scanning. Forest Ecology and Management, 2020, 473:118289.

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