摘要
荒漠化治理涉及社会的多领域和多层级,需要处理整合各类纷杂的信息数据,大数据的出现及其技术的成熟,为荒漠化治理提供有力支持。研究从全球、全国、区域或流域、样地四个尺度上,阐述荒漠生态系统数据资源整合与挖掘及其数据驱动应用服务的构想,并分别从四个尺度上,较为详细的介绍了各尺度需要整合的数据资源及其数据的应用服务,发挥数据资源价值,进而促进荒漠生态系统大数据平台的构建,为政府、企业、社会组织、公众等在内的多元主体科学参与荒漠化治理和决策提供有力支撑。
Desertification control involves many fields and multiple levels of society,which needs to integrate and process all kinds of miscellaneous information data. With the emergence of big data and the improvement of big data technology,constructing the big data platform of desert ecosystems would obtain feasible desertification data analysis and decision making results so as to provide strong support for the desertification control. The data integration and mining of desert ecosystem and the ideas of data driven application services were expounded from four scales（ i. e.,global,national,regional or watershed,and sample plot）. Meanwhile,the data resources needed to be integrated at each scale and the data application services were introduced in detail. The integration and mining resources of desert ecosystem data resources were realized,and a big data platform of desert ecosystem was built. The applications and services were driven by data,and thus the platform transition from the data sharing to the services and exerting the data resource value was achieved. The construction of big data platform of desert ecosystem would provide powerful supports for the scientific participation of multiple levels（ including government,enterprise,social organization and the public） and for the desertification control and decision making.
作者
刘洪霞
冯益明
曹晓明
卢琦
纪平
侯瑞霞
LIU Hongxia;FENG Yiming;CHAO Xiaoming;LU Qi;JI Ping;HOU Ruixia(Agricultural Information Institute,CAAS,Key Laboratory of Agricultural Big Data of the MOA,Beijing 100081,China;Institute of Desertification Studies,CAF,Beijing 100091,China;Research Institute of Reseuree Information Techniques,CAF,Beijing 100091,China)
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2018年第9期126-131,共6页
Journal of Arid Land Resources and Environment
基金
国家科技基础条件平台项目(2005DKA32200-IDS)
中国农业科学院创新工程(CAAS-ASTIP-2016-AII)资助
