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中国生态脆弱区联网协同观测及其在承载力研究中的应用
引用本文:宜树华,陈世苹,李英年,胡中民.中国生态脆弱区联网协同观测及其在承载力研究中的应用[J].应用生态学报,2022,33(8):2271-2278.
作者姓名:宜树华  陈世苹  李英年  胡中民
作者单位:1.南通大学脆弱生态环境研究所/南通大学地理科学学院, 江苏南通 226019;2.中国科学院植物研究所植被与环境变化国家重点实验室, 北京 100093;3.中国科学院西北高原生物研究所, 西宁 810001;4.海南大学生态与环境学院, 海口 570228
基金项目:国家重点研发计划项目(2017YFA0604801)资助。
摘    要:生态脆弱区约占中国国土面积的60%以上,全球变化和人类活动导致该区域生态系统退化加剧,资源环境承载力降低。准确量化生态脆弱区资源环境承载力对于应对全球变化风险挑战和加快生态文明建设进程具有重要意义。然而,现有的区域资源环境承载力评估方法很难体现生态系统结构、过程和功能变化在资源环境要素与承载力之间的传导作用。因此,构建网络化的野外观测体系以及获取资源环境要素-生态系统结构功能和过程-生态系统承载力变化的综合数据集,是发展资源环境承载力理论和评估方法的必要途径。本文介绍了通量以及无人机协同监测网络,包括思路、实践以及其在生态脆弱区生态系统结构、过程和功能研究中取得的初步成果。同时,基于目前已取得的成果和进展展望了联网协同观测在承载力评估方面的应用。

关 键 词:通量观测  无人机航拍  联网观测  承载力  草地  
收稿时间:2021-10-20

Collaborative monitoring network of ecologically fragile areas in China and its application in carrying capacity research
YI Shu-hua,CHEN Shi-ping,LI Ying-nian,HU Zhong-ming.Collaborative monitoring network of ecologically fragile areas in China and its application in carrying capacity research[J].Chinese Journal of Applied Ecology,2022,33(8):2271-2278.
Authors:YI Shu-hua  CHEN Shi-ping  LI Ying-nian  HU Zhong-ming
Institution:1.Institute of Fragile Eco-environment/School of Geographic Science, Nantong University, Nantong 226019, Jiangsu, China;2.State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China;3.Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810001, China;4.College of Ecology and Environment, Hainan University, Haikou 570228, China
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.
Keywords:flux measurement  UAV photographing  collaborative monitoring network  carrying capacity  grassland  
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