摘要
全球变化已对陆地生态系统结构和功能产生深远影响,明确生态系统对全球变化的响应和适应机制是实现人类对生态系统服务可持续利用的前提。联网实验是理解区域乃至全球尺度生态系统结构功能对全球变化要素响应和适应的重要手段。科学的顶层设计有利于实现联网数据间融合、比对以及分析,进而支撑普适性生态学理论的发展。本文从全球变化联网控制实验的研究进展、发展需求、创新性设计及研究展望等几方面,综合阐述未来全球变化联网控制实验设计的理论基础、方法学原理以及全新的实验网络设计理念,并以我国草地生态系统为例,以空间基准点理念(水热均值点)为突破口,提出了我国草地生态系统联网实验创新设计技术体系,以期推动未来区域和全球尺度控制实验的联网研究发展。
Global changes have profound impacts on the structure and function of terrestrial ecosystems.It is a prerequisite to realize the sustainable use of ecosystem to clarify the response and adaptation mechanism of ecosystems to global changes.Network of control experiment is an important way to understand the response and adaptation of the structure and function of ecosystems to global change factors at regional and global scales.The scientific top-level design is conducive to the integration,comparison and analysis of integrative network-data,and then supports the development of universal ecological theory.We comprehensively expounded the theoretical basis,methodological principles and brand-new concepts of experimental network design for future global change control experiment networks design from several aspects,such as research progress,development needs,innovative design and research prospects.Taking Chinese grassland ecosystems as an example,based on the concept of space reference points(mean point of water and heat),the innovative design technology system of China’s grassland ecosystem networking experiment was proposed,in order to promote the development of networking research of control experiments at both regional and global scales in the future.
作者
朱军涛
牛犇
宗宁
赵博
郑周涛
赵广
庾强
王常慧
张扬建
ZHU Jun-tao;NIU Ben;ZONG Ning;ZHAO Bo;ZHENG Zhou-tao;ZHAO Guang;YU Qiang;WANG Chang-hui;ZHANG Yang-jian(Lhasa Plateau Ecosystem Research Station,Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;Institute of Agricultural Resources and Agricultural Regionalization,Chinese Academy of Agricultural Sciences,Beijing 100081,China;College of Grassland Industry,Shanxi Agricultural University,Jinzhong 030801,Shanxi,China)
出处
《应用生态学报》
CAS
CSCD
北大核心
2022年第3期648-654,共7页
Chinese Journal of Applied Ecology
基金
国家重点研发计划项目(2017YFA0604802)
国家自然科学基金项目(41991234,42077422,U20A2009)资助。
关键词
全球变化
联网控制实验
空间基准点
自然环境梯度
草地生态系统
global change
network control experiment
spatial reference point
natural environmental gradient
grassland ecosystem
