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基于大数据技术提升自然公园的管理效能——以人为活动大数据为例 被引量:1

Improving the Management Efficiency of Natural Parks Based on Big Data Technology:Taking Big Data for Human Activity as an Example
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摘要 基于大数据技术提升自然公园的管理效能,对于构建以国家公园为主体的自然保护地体系,以及确保自然公园保护和合理利用有效协同具有重要的现实意义。不断创新管理模式、进一步提升管理效能是自然公园当前面临的重要任务。分析了自然公园管理现状和利用大数据面临的主要问题,对利用大数据技术提升自然公园管理效能的路径进行了探索。以人为活动大数据为例,对大数据采集、分析、处理和具体运用进行了分析论述,认为运用大数据技术科学限制人为活动是提升自然公园管理效能的关键。针对运用人为活动大数据提升管理效能面临的问题,从完善顶层设计、建设监测系统、拓宽引才渠道、利用大数据解决管理难题和注重数据治理等方面,提出了利用人为活动大数据提升自然公园管理效能的建议。 Improving the management efficiency of natural parks based on big data technology is of great practical significance for building a natural protected area system with national parks as the main body and ensuring effective coordination between the protection and rational utilization of natural parks.It is an important task for natural parks to innovate management mode continually and further improve management efficiency.This paper analyzed the current situation of the management of natural parks and the main problems faced with the use of big data,explored the path of using big data technology to improve the management efficiency of natural parks,and took the big data of human activities as an example to analyze and demonstrate the collection,analysis,processing and specific application of big data.It was believed that the use of big data technology to scientifically limit human activities was the key to improve the efficiency of natural park management.In view of the problems of using human activity big data to improve management efficiency,this paper put forward some suggestions on using human activity big data to improve management efficiency of natural parks from the aspects of improving top-level design,building monitoring system,broadening talent channels,using big data to solve management problems and focusing on data governance.
作者 王尚慧 王泰棋 WANG Shanghui;WANG Taiqi(National Park(Natural Protected Area)Development Centre of National Forestry and Grassland Administration,Beijing 100714,China;Aspire Information Technology(Beijing)Co.,Ltd.,Beijing 100071,China)
出处 《林业资源管理》 北大核心 2022年第5期7-14,共8页 Forest Resources Management
关键词 自然公园 人为活动 大数据 管理 natural park human activities big data management
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