大尺度陆地生态系统科学研究的理论基础及其技术体系之探讨

doi:10.13287/j.1001-9332.202102.042

应用生态学报 ›› 2021, Vol. 32 ›› Issue (2): 377-391.doi: 10.13287/j.1001-9332.202102.042

大尺度陆地生态系统科学研究的理论基础及其技术体系之探讨

于贵瑞^1,2*, 陈智^1,2*, 杨萌^1,2, 王秋凤^1,2

¹中国生态系统研究网络综合研究中心, 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

收稿日期:2020-10-13 接受日期:2021-01-04 出版日期:2021-02-15 发布日期:2021-08-15
通讯作者: ^*E-mail: chenz@igsnrr.ac.cn; yugr@igsnrr.ac.cn
作者简介:于贵瑞, 男, 1959年生, 研究员, 博士生导师。主要从事生态学与自然地理学交叉研究。 E-mail: yugr@igsnrr.ac.cn
基金资助:
国家自然科学基金项目(31988102,41991234)和美丽中国生态文明建设科技工程专项(XDA23020202)资助

Discussion on the theoretical basis and technical system of large-scale terrestrial ecosystem science research

YU Gui-rui^1,2*, CHEN Zhi^1,2*, YANG Meng^1,2, WANG Qiu-feng^1,2

¹Synthesis Research Center of Chinese Ecosystem Research Network, and Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
²College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

Received:2020-10-13 Accepted:2021-01-04 Online:2021-02-15 Published:2021-08-15
Contact: ^*E-mail: chenz@igsnrr.ac.cn; yugr@igsnrr.ac.cn
Supported by:
National Natural Science Foundation of China (31988102, 41991234) and the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA23020202)

摘要/Abstract

摘要： 大尺度的陆地生态系统科学研究是在生物多样性保护、应对全球气候变化、区域生态环境治理及全球社会经济可持续发展的科技需求背景下应运而生的生态学及生态系统科学前沿领域,并在我国的生态文明建设社会实践中快速发展。本文在系统论述大尺度陆地生态系统科学研究的科技使命基础上,重点梳理和探讨了区域及大陆尺度的生态系统科学研究理论基础和方法学问题,进而基于宏生态系统生态学理论,新提出了宏观生态系统科学的基础理论、科学概念及其研究方法体系的逻辑框架。本文重点探讨了: 1) 基于生态系统的系统学特性,发展多维视角的“生态系统科学概念网络体系”;2) 基于生态系统整体性和涌现性理论,发展“生态系统状态变化分析理论体系”;3) 基于生态系统属性及状态概念,发展生态系统结构-过程-功能-服务级联关系的“整合研究方法学理论体系”的学科内涵及应用问题,进而论述了发展区域及大陆尺度宏观生态系统科学研究的方法体系,提出构建新一代大陆尺度生态系统观测研究实验网络,完善“联网观测-联网实验-数值模拟-知识融合”四位一体的科学研究技术体系的必要性。

关键词: 大尺度陆地生态系统, 生态系统科学, 宏生态系统生态学, 宏观生态系统科学, 基础理论, 科学概念, 方法体系

Abstract: Large-scale terrestrial ecosystem science research becomes an important research field with the promotion of meeting the scientific demand of biodiversity conservation, global climate change mitigation, regional eco-environment governance, and social sustainable development. It is developing rapidly under the guidance of China’s ecological civilization construction strategy. Here, we systematically discussed the missions, theoretical foundation and methodology of large-scale terrestrial ecosystem science research and proposed a new theoretical foundation, conceptual system and logical framework for macroecosystem science research on the basis of macrosystem ecology theory. It elaborated the discipline connotation and application of the macroecosystem science to 1) deve-lop the conceptual network of ecosystem science based on the systematic characteristics of ecosystems; 2) develop the theoretical system of ecosystem state change analysis based on the ecosystem integrity and emergence characteristics; 3) develop the theoretical system of integrated research for ecosystem structure-process-function-service cascade relationship based on the attributes and state of ecosystems. We also discussed the methodology and technical system of regional and continental macroecosystem science research, and highlighted the urgency to construct a new generation of continental ecosystem observation and research network, and to develop the network observation-network experiment-numerical simulation-knowledge fusion four-in-one infrastructures.

Key words: large-scale terrestrial ecosystem, ecosystem science, macrosystem ecology, macroecosystem science, theoretical basis, science connotation, methodology

于贵瑞, 陈智, 杨萌, 王秋凤. 大尺度陆地生态系统科学研究的理论基础及其技术体系之探讨[J]. 应用生态学报, 2021, 32(2): 377-391.

YU Gui-rui, CHEN Zhi, YANG Meng, WANG Qiu-feng. Discussion on the theoretical basis and technical system of large-scale terrestrial ecosystem science research[J]. Chinese Journal of Applied Ecology, 2021, 32(2): 377-391.

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大尺度陆地生态系统科学研究的理论基础及其技术体系之探讨

Discussion on the theoretical basis and technical system of large-scale terrestrial ecosystem science research

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