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宏观生态系统科学整合研究的多学科知识融合及其技术途径
引用本文:于贵瑞,任小丽,杨萌,陈智. 宏观生态系统科学整合研究的多学科知识融合及其技术途径[J]. 应用生态学报, 2021, 32(9): 3031-3044. DOI: 10.13287/j.1001-9332.202109.040
作者姓名:于贵瑞  任小丽  杨萌  陈智
作者单位:1.中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室, 北京 100101;2.中国科学院大学资源与环境学院, 北京 100049
基金项目:国家自然科学基金项目(31988102,41671045)资助
摘    要:综合认识大尺度的宏观生态系统结构功能、空间变异和动态演变的过程机理和模式机制,实现对生态系统变化及其对人类福祉影响的定量模拟、科学评估和预测预警,服务生态系统的利用保护及调控管理,是当代宏观生态系统科学的重要发展方向,正在孕育并形成大尺度的宏观生态系统科学整合生态学(IEMES)研究新领域.本研究通过对宏观生态系统科学...

关 键 词:宏观生态系统科学  整合生态学  多学科知识融合  多尺度协同观测  多源数据分析  数据-模型融合  跨尺度生态系统模拟
收稿时间:2021-05-06

Multi-disciplinary knowledge integration and its technical approaches in the integrated ecology of macroecosystem science
YU Gui-rui,REN Xiao-li,YANG Meng,CHEN Zhi. Multi-disciplinary knowledge integration and its technical approaches in the integrated ecology of macroecosystem science[J]. The journal of applied ecology, 2021, 32(9): 3031-3044. DOI: 10.13287/j.1001-9332.202109.040
Authors:YU Gui-rui  REN Xiao-li  YANG Meng  CHEN Zhi
Affiliation:1.Key Laboratory of Ecosystem Network Observation and Modelling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;2.College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:The development of contemporary macroecosystem sciences requires to comprehensively understand the process mechanism and model mechanism of large-scale macroecosystem structure and function, spatial variation, and dynamic evolution, to realize quantitative simulation, scientific assessment, prediction and early warning of ecosystem change and its impacts on human well-being, and to serve the utilization, protection, regulation, and management of ecosystems. Therefore, a new research field of large-scale integrated ecology of macroecosystem science (IEMES) is emerging. Based on the systematic analysis of the basic theories, approaches and key technologies of integrated ecology of macroecosystem science, the following basic understandings have been formed: 1) IEMES takes macroecosystem at regional, continental, and global scales as the research object, and adopts the methods and technologies of multidisciplinary knowledge integration. It is aimed to solve the major resource and environmental problems during the development of human society, such as food security, resource security, ecological security, and environmental security. 2) The basic scientific and technological tasks of IEMES are to understand the basic structural and functional properties of macroecosystem, monitor the changes of ecosystem state, explain the spatiotemporal evolution of ecosystem, uncover the mechanism of ecosystem operation and maintenance process, quantitatively evaluate the functional state and service capacity of ecosystem, predict the dynamic evolution and geographical pattern of ecosystem, provide early warning of ecosystem changes and ecological environmental disasters. 3) It is needed to reconstruct the theory and methodology system of “multi-source data analysis, multi-model simulation, multi-disciplinary knowledge fusion” and develop key technology of multi-disciplinary knowledge fusion of “multi-scale observation, multi-method verification, multi-process fusion, and cross-scale simulation” for IEMES. 4) The continental scale multi-spatiotemporal ecosystem observation and experiment network is the basic scientific and technological facility to carry out deep integration of multi-disciplinary knowledge. It is necessary to develop key technology of multi-disciplinary ecological knowledge integration of multi-factor, multi-process, multi-interface, multi-medium, multi-scale, and multi-method around the regional, continental, and global scale macroecosystem science issues.
Keywords:macroecosystem science  integrated ecology  the integration of multi-disciplinary knowledge  multi-scale cooperative observation  multi-source data analysis  data-model fusion  cross scale ecosystem simulation  
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