Integrative ecology in the era of big data-From observation to prediction
文献类型：期刊论文
| 作者 | Niu, Shuli1,2; Wang, Song1,2; Wang, Jinsong1; Xia, Jianyang3; Yu, Guirui1,2 |
| 刊名 | SCIENCE CHINA-EARTH SCIENCES
 |
| 出版日期 | 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. |
| WOS关键词 | MODEL-DATA FUSION ; TERRESTRIAL CARBON-CYCLE ; NITROGEN ADDITION ; CO2 FERTILIZATION ; SOIL RESPIRATION ; ELEVATED CO2 ; RESPONSES ; METAANALYSIS ; TEMPERATURE ; FOREST |
| 资助项目 | National Natural Science Foundation of China[31988102] ; National Natural Science Foundation of China[31625006] |
| WOS研究方向 | Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000562688800001 |
| 出版者 | SCIENCE PRESS |
| 资助机构 | National Natural Science Foundation of China |
| 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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Sch Resources & Environm, Beijing 100049, 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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