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Chinese Journal of Applied Ecology ›› 2022, Vol. 33 ›› Issue (8): 2271-2278.doi: 10.13287/j.1001-9332.202208.026

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Collaborative monitoring network of ecologically fragile areas in China and its application in carrying capacity research

YI Shu-hua1*, CHEN Shi-ping2, LI Ying-nian3, HU Zhong-ming4   

  1. 1Institute of Fragile Eco-environment/School of Geographic Science, Nantong University, Nantong 226019, Jiangsu, China;
    2State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China;
    3Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810001, China;
    4College of Ecology and Environment, Hainan University, Haikou 570228, China
  • Received:2021-10-20 Accepted:2022-05-25 Online:2022-08-15 Published:2023-02-15

Abstract: Ecologically fragile areas account for more than 60% of land area in China. Global change and human activities are aggravating ecosystem degradation and reducing the carrying capacity of resources and environment. It is important to accurately quantify the carrying capacity of resources and environment in ecologically fragile areas to deal with the risk and challenge of global change and to speed up the construction of ecological civilization. How-ever, existing methods evaluating carrying capacity of resources and environment are difficult to reflect the transmission effect of ecosystem structures, processes and functions changes among resource, environment and carrying capacity. Therefore, it is essential to establish a field observation network and obtain the comprehensive data set of resource and environment elements-ecosystem structure, function and process-ecosystem carrying capacity for develo-ping the theory and evaluation method. We introduced the collaborative monitoring networks of flux and UAV photographing, including the thoughts, practice, and preliminary results in the study of ecosystem structure, process and function in the fragile ecosystems of China. Based on the achievements and progress, we proposed the application of collaborative monitoring networks in capacity evaluation.

Key words: flux measurement, UAV photographing, collaborative monitoring network, carrying capacity, grassland