Yu Gui-Rui, Chen Zhi, Zhang Wei-Kang, Yang Meng
Synthesis Research Center of Chinese Ecosystem Research Network/Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
Ying Yong Sheng Tai Xue Bao. 2021 May;32(5):1531-1544. doi: 10.13287/j.1001-9332.202105.040.
The urgent requirement of human society to solve major resource and environmental pro-blems at the regional and global scales promotes the rises of macroecosystem science (MES) and the multidisciplinary fusions of natural science and humanities. Furthermore, it facilitates the innovation of macroecosystem scientific theory, as well as the development of continental and global scale knowledge fusion methodology and key technology. With the aim to serve the construction and deve-lopment of continental and global scale knowledge fusion methodological system for the changes of ecosystem status and resource environmental effect studies, we systematically elaborated the multi-disciplinary dimensional basic scientific problems, logic relationships and frontiers in the macroecosystem science, discussed the ideology and content of constructing the continental and global scale research methodological system, proposed to develop the networked observation-networked experiment-numerical simulation-knowledge fusion four-in-one infrastructures. This study would provide theoretical references for the network design of ecosystem observation research in China and at the global scale.
人类社会在区域和全球尺度上解决重大资源与环境问题的迫切需求，推动了宏观生态系统科学（MES）的兴起以及自然科学与人文科学的多学科融合。此外，它促进了宏观生态系统科学理论的创新，以及大陆和全球尺度知识融合方法与关键技术的发展。旨在服务于大陆和全球尺度知识融合方法体系建设与发展，以开展生态系统状态变化及资源环境效应研究，我们系统阐述了宏观生态系统科学中的多学科维度基础科学问题、逻辑关系和前沿，讨论了构建大陆和全球尺度研究方法体系的思想与内容，提出发展网络化观测-网络化实验-数值模拟-知识融合四位一体基础设施。本研究将为中国及全球尺度生态系统观测研究的网络设计提供理论参考。
