Ecosystem science research and ecosystem management

被引:0
作者
Yu G. [1 ]
Li W. [1 ]
Shao M. [1 ]
Zhang Y. [1 ]
Wang S. [1 ]
Niu S. [1 ]
He H. [1 ]
Dai E. [1 ]
Li F. [1 ]
Ma Z. [1 ]
机构
[1] Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing
来源
Dili Xuebao/Acta Geographica Sinica | 2020年 / 75卷 / 12期
关键词
Eco-informatics; Ecosystem; Ecosystem management; Ecosystem services; Global change; Sustainable development;
D O I
10.11821/dlxb202012006
中图分类号
学科分类号
摘要
Ecosystem ecology is the core content of ecosystem science in the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (IGNSRR). Our first mission is to develop techniques and methods of ecosystem monitoring and simulation, by which we explore the theories and pathways in solving eco-environmental issues at regional scales. Second, we monitor ecosystem changes, identify the dynamics and patterns, and advance the discipline developments of ecosystem ecology, biogeography ecology, global change ecology, and eco-informatics. Third, we serve for the national and regional ecological constructions by addressing issues related to global changes and regional sustainable developments. To meet national needs, we synthesize and innovate technique and modes of ecosystem management for typical regions of China, i.e. agricultural regions of northern China, hilly red soil forestry regions of southern China, agricultural and pastoral regions of the Tibetan Plateau and Loess Plateau. Utilizing these innovated management modes, we aim to solve fundamental problems in ecological construction and adapt to global changes, and facilitate science advance in regional ecosystem management. Our research directions comprise the following five fields: (1) network monitoring, simulation and ecosystem data management; (2) ecosystem structure, process and function; (3) ecosystem pattern and the underlying mechanism; (4) ecosystem responses and adaptation to global change; (5) ecosystem management and ecosystem services. Centered around the above five foci research directions, we systematically explore theories of ecosystem ecology and their applications, through which we position our research in frontier lines of China and the world. © 2020, Science Press. All right reserved.
引用
收藏
页码:2620 / 2635
页数:15
相关论文
共 53 条
[1]  
Yu G R, Wen X F, Sun X M, Et al., Overview of ChinaFLUX and evaluation of its eddy covariance measurement, Agricultural and Forest Meteorology, 137, 3, pp. 125-137, (2006)
[2]  
Yu Guirui, Sun Xiaomin, Principles of Flux Measurement in Terrestrial Ecosystems, (2006)
[3]  
Yu Guirui, Zhang Leiming, Sun Xiaomin, Progresses and prospects of Chinese terrestrial ecosystem flux observation and research network (ChinaFLUX), Progress in Geography, 33, 7, pp. 903-917, (2014)
[4]  
Luo Tianxiang, Patterns of net primary productivity for Chinese major forest types and their mathematical models, Resources Science, 18, 5, (1996)
[5]  
Yu G R, Li X R, Wang Q F, Et al., Carbon storage and its spatial pattern of terrestrial ecosystem in China, Journal of Resources and Ecology, 1, 2, pp. 97-109, (2010)
[6]  
Cao Mingkui, Yu Guirui, Liu Jiyuan, Et al., Multi scale experimental observation and cross scale mechanism simulation of carbon cycle in terrestrial ecosystem, Scientia Sinica Terrae, 34, pp. 1-14, (2004)
[7]  
Cao M K, Prince S D, Li K R, Et al., Response of terrestrial carbon uptake to climate interannual variability in China, Global Change Biology, 9, 4, pp. 536-546, (2003)
[8]  
Hu Zhongmin, Fan Jiangwen, Zhong Huaping, Et al., Temporal and spatial variability of aboveground productivity along precipitation gradient in temperate grassland of China, Scientia Sinica Terrae, 12, pp. 1154-1162, (2006)
[9]  
Yu G R, Chen Z, Piao S L, Et al., High carbon dioxide uptake by subtropical forest ecosystems in the East Asian monsoon region, PNAS, 111, pp. 4910-4915, (2014)
[10]  
He N P, Liu C C, Piao S L, Et al., Ecosystem traits linking functional traits to macroecology, Trends in Ecology and Evolution, 34, 3, pp. 200-210, (2019)