Integrative ecology in the era of big data-From observation to prediction

doi:10.1007/s11430-020-9664-6

	Integrative ecology in the era of big data-From observation to prediction
	Niu, Shuli 1,2; Wang, Song 1,2; Wang, Jinsong 2; Xia, Jianyang 3; Yu, Guirui 1,2
刊名	SCIENCE CHINA-EARTH SCIENCES
	2020-10-01
卷号	63 期号:10 页码:1429-1442
关键词	Integrative ecology Meta-analysis Data mining Data-model fusion
ISSN号	1674-7313
DOI	10.1007/s11430-020-9664-6
通讯作者	Niu, Shuli(sniu@igsnrr.ac.cn)
英文摘要	Most ecological and environmental issues faced by human society can only be solved at the ecosystem, watershed, regional and even global scale. Thus, ecological research is developing rapidly towards macro-scale studies. With the rapid development of observational networks and information technology, the spaceborne-aircraft-ground based observation system is becoming an important feature of ecosystem monitoring in the new era. With the gradual formation of the global new-generation observational systems and the rapid expansion of massive multi-source heterogeneous data, ecology has entered the era of big data, big science, and big theory. How to integrate ecological big data, discover valuable ecological laws and mechanisms, and further expand them to solve eco-environmental issues that closely relate to human development are the major opportunities and challenges in this field. In this paper, we systematically summarized the research progresses in ecological big data, reviewed the opportunity and demand of integrative ecology, and further discussed the main approaches of ecological big data integration by using meta-analysis, data mining, and data-model fusion. Finally, we proposed the prospects and research directions of in-tegrative ecology and suggested that future researches need to integrate big data into land models so as to improve the accuracy of ecological forecasting. It can be foreseen that under the background of global change and the rapid development of big data in the future, integrative ecology will be extensively applied and developed to serve the sustainable development of human society.
资助项目	National Natural Science Foundation of China[31988102] ; National Natural Science Foundation of China[31625006]
WOS关键词	MODEL-DATA FUSION ; TERRESTRIAL CARBON-CYCLE ; NITROGEN ADDITION ; CO2 FERTILIZATION ; SOIL RESPIRATION ; ELEVATED CO2 ; RESPONSES ; METAANALYSIS ; TEMPERATURE ; FOREST
WOS研究方向	Geology
语种	英语
出版者	SCIENCE PRESS
WOS记录号	WOS:000562688800001
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/157982]
专题	中国科学院地理科学与资源研究所
通讯作者	Niu, Shuli
作者单位	1.Univ Chinese Acad Sci, Sch Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Simulat, Beijing 100101, Peoples R China 3.East China Normal Univ, Sch Ecol & Environm Sci, Shanghai 200241, Peoples R China
推荐引用方式 GB/T 7714	Niu, Shuli,Wang, Song,Wang, Jinsong,et al. Integrative ecology in the era of big data-From observation to prediction[J]. SCIENCE CHINA-EARTH SCIENCES,2020,63(10):1429-1442.
APA	Niu, Shuli,Wang, Song,Wang, Jinsong,Xia, Jianyang,&Yu, Guirui.(2020).Integrative ecology in the era of big data-From observation to prediction.SCIENCE CHINA-EARTH SCIENCES,63(10),1429-1442.
MLA	Niu, Shuli,et al."Integrative ecology in the era of big data-From observation to prediction".SCIENCE CHINA-EARTH SCIENCES 63.10(2020):1429-1442.