摘要
生物多样性大数据资源是国家重要战略资源,也关乎国家生态安全和生态文明建设。中国生物多样性大数据平台将包括基于宏观与微观生物生态数据协同整合的大数据库和大数据深度挖掘与模型模拟运算库,支持生物多样性和生态系统多源数据整合和共享的标准以及数据集成应用的方法,实现古生物化石数据与遗传组学数据、生理与性状数据、物种多样性、生态系统多样性等跨学科数据融合,与地理、气象、遥感、环境、国民经济等跨领域数据整合,形成完整的共享数据集或栅格化图集。利用分析模型和可视化技术实现对多源生物多样性数据集的挖掘和利用,构建开放开源的生物多样性大数据处理利用的通用接口,建立一个以生物多样性和生态安全为核心的包括对海量数据进行有效管理、高效分析和可用易用的综合大数据系统,面向政府部门提供标准化、可视化服务,促进我国生物多样性资源保护和生态安全格局构建,保障国家生态安全,支撑我国生物多样性交叉学科前沿领域科学发现和产业创新发展。
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.
作者
马克平
朱敏
纪力强
马俊才
郭庆华
欧阳志云
朱丽
MA Keping;ZHU Min;JI Liqiang;MA Juncai;GUO Qinghua;OUYANG Zhiyun;ZHU Li(Institute of Botany,Chinese Academy of Sciences,Beijing 100093,China;Institute of Vertebrate Paleontology and Paleoanthropology,Chinese Academy of Sciences,Beijing 100044,China;Institute of Zoology,Chinese Academy of Sciences,Beijing 100101,China;Institute of Microbiology,Chinese Academy of Sciences,Beijing 100101,China;Research Center for Eco-Environmental Sciences,Chinese Academy of Sciences,Beijing 100085,China)
出处
《中国科学院院刊》
CSCD
北大核心
2018年第8期838-845,共8页
Bulletin of Chinese Academy of Sciences
基金
中国科学院战略性先导科技专项(A类)(XDA19050000)
关键词
生物多样性大数据
生态安全
数据共享
数据挖掘
决策支持
big biodiversity data
ecological security
data sharing
data mining
sound decision rnaking