•  
  •  
 

Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

big biodiversity data; ecological security; data sharing; data mining; sound decision making

Document Type

Article

Abstract

Biodiversity is not only important strategic resource, but also the safeguard to the ecological security and success of the development of ecological civilization. Gathering "big data" of biological sciences at different levels, the in-depth data mining and novel discoveries stemmed from cross disciplines will switch life sciences to the new data-intensive science paradigm, and eventually leads to the change of the way how life system should be understood, and how biodiversity resources should be utilized sustainably. Therefore, to establish an infrastructure for the big biodiversity data in China is urgently needed. This infrastructure incorporates big biodiversity data from both macro and micro scales, and integrates data services and data mining system. It incorporates in-depth data mining tools, simulation models, standards for compiling and sharing data of biodiversity and ecosystems. In this system, the big data from palaeontology and genomics, diversity of species and ecosystems are well integrated. The datasets from geography, climatology, remote sensing, environmental and social sciences, and economics are also included as a comprehensive visualized big data platform being available to the public. It could be used to promote sound decision making for biodiversity conservation and ecological security in China. These services will also contribute greatly to the advancement of biodiversity science, the industrial innovation and development, providing fundamental information for fulfilling the national obligations in implementing the Convention on Biological Diversity, the prevention and control of invasive alien species and the monitoring of international trade of wildlife, and so on.

First page

838

Last Page

845

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

张健.大数据时代的生物多样性科学与宏生态学.生物多样性, 2017, 25(4):355-363.

La Salle J, Williams K J, Moritz C. Biodiversity analysis in the digital era. Philosophical Transactions of the Royal Society B-Biological Sciences, 2016, 371(1702):20150337.

Soltis D E, Soltis P S. Mobilizing and integrating big data in studies of spatial and phylogenetic patterns of biodiversity. Plant Diversity, 2016, 38(6):264-270.

Bar-Yam Y. From big data to important information. Complexity, 2016, 21(S2):73-98.

马克平.生物多样性科学的若干前沿问题.生物多样性, 2017, 25(4):343-344.

Wu L, Sun Q, Desmeth P, et al.World data centre for microorganisms:an information infrastructure to explore and utilize preserved microbial strains worldwide. Nucleic Acids Research, 2017, 45(D1):D611-D618.

Wen J, Harris A J, Ickert-Bond S M, et al. Developing integrative systematics in the informatics and genomic era, and calling for a global Biodiversity Cyberbank. Journal of Systematics and Evolution, 2017, 55(4):308-321.

马克平.中国生物多样性编目取得重要进展.生物多样性, 2015, 23(2):137-138.

许哲平, 陈彬, 王利松, 等. 生物多样性信息学研究进展与发展趋势//新生物学年鉴2013. 北京: 科学出版社, 2014: 290-312.

马克平.亚洲植物多样性数字化计划.生物多样性, 2017, 25(1):1-2.

Kelling S, Hochachka W M, Fink D, et al. Data-intensive science:A new paradigm for biodiversity studies. BioScience, 2009, 59(7):613-620.

Download
Request a Copy

Share

COinS