Yi Shu-Hua, Chen Shi-Ping, Li Ying-Nian, Hu Zhong-Ming
Institute of Fragile Eco-environment/School of Geographic Science, Nantong University, Nantong 226019, Jiangsu, China.
State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China.
Ying Yong Sheng Tai Xue Bao. 2022 Aug;33(8):2271-2278. doi: 10.13287/j.1001-9332.202208.026.
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.
生态脆弱地区占中国国土面积的60%以上。全球变化和人类活动正在加剧生态系统退化，降低资源环境承载能力。准确量化生态脆弱地区的资源环境承载能力，对于应对全球变化的风险与挑战、加快生态文明建设具有重要意义。然而，现有的资源环境承载能力评估方法难以反映资源、环境与承载能力之间生态系统结构、过程和功能变化的传导效应。因此，建立野外观测网络并获取资源环境要素—生态系统结构、功能和过程—生态系统承载能力的综合数据集，对于发展相关理论和评估方法至关重要。我们介绍了通量与无人机摄影协同监测网络，包括在中国脆弱生态系统中生态系统结构、过程和功能研究的思路、实践及初步成果。基于这些成果与进展，我们提出了协同监测网络在承载能力评估中的应用。
