中文摘要：

生物物种资源是国民经济可持续发展的战略性资源,研发生物物种资源信息系统对于合理保护和持续利用我国丰富的生物资源以及提高我国生物物种资源信息化管理水平具有重要意义.针对国家生物物种资源保护和管理工作的需求,利用地理信息系统（GIS）、信息网络和数据库技术,构建了基于县级行政单元的全国物种资源空间分布数据库,设计和开发了基于GIS 的国家生物物种资源信息系统.信息系统从整体架构上包括4 个子系统,分别是平台管理子系统、数据采集和管理子系统、数据查询和统计分析子系统以及综合分析子系统.利用该系统,用户可以有效地采集、管理和查询全国野生维管植物和脊椎动物数据和信息,利用统计分析和预测模型功能分析全国或区域生物物种资源的大尺度分布格局特征,综合评价全国生物物种资源状况、变化趋势和威胁因素,为国家生物物种资源保护与管理提供预测预警决策信息.在今后的系统升级中,应加强对我国重要生物物种资源野外调查和长期动态监测数据以及海洋生物多样性数据的收集和整理,进一步构建跨部门的生物物种资源信息共享机制,研发和集成物种资源预测预警模型,构建决策支持系统.

英文摘要：

Biological species resources are kind of strategic resources essential to sustainable development of the nationaleconomy. The research and development of a bio-species resources information system is of great significance to rationalprotection and sustainable utilization of the rich bio-species resources, as well as to improvement of the management of na-tional bio-species resources information. In response to the requirements of the national protection and management of thebio-species resources and with the aid of the technologies of GIS, information network and database, a GIS-based nationalbio-species resources information system （NSRIS） was designed and developed, and a national bio-species resources spa-tial distribution database was built up using county as basic unit. The overall framework of NSRIS consists of four subsys-tems, that is, platform management, data acquisition and management, data query and statistical analysis, and comprehensive analysis. With this system, users can effectively collect, manage and retrieve wild vascular plants and vertebratesdata and information, and make use of its statistical analysis and prediction functions investigation and evaluation of thelarge-scale national of regional bio-species resources distribution patterns, and their status, future trends and potentialthreats, and hence provide decision-makers with essential early-warning information for protection and management of thenational bio-species resources. To update and upgrade NSRIS, it is essential to strengthen collection and collation of impor-tant bio-species resource data from field surveys, and long-term dynamic monitoring, and ocean biodiversity data and infor-mation, to build up a mechanism for trans-departmental sharing of bio-species resource information and to develop and in-tegrate bio-species resources predictive and early warning models, so as to form a decision-making support system.