摘要
随着大数据技术的不断进步,其在生态保护决策领域所展现的潜能逐渐受到学术界和实践界的广泛关注。传统的生态保护决策方法受限于数据来源的分散性、整合困难、决策过程中的数据支撑不足,导致决策缺乏精确性和前瞻性。鉴于此,深入探讨了基于大数据的生态保护决策框架,并对大数据技术在生态保护决策中的具体应用进行了系统性的分析。选取广西大明山作为案例,详细阐述了大数据在实际生态保护项目中的应用效果及其所带来的社会、经济和生态价值。
With the continuous progress of big data technology,its potential in the field of ecological protection decision-making has gradually attracted extensive attention from the academic and practical circles.The traditional ecological protection decision-making method was limited by the dispersive data sources,the difficulty of integration,and thelackofdatasupportinthedecision-making process,resulting in the lack of accuracy and foresight.In view of this,the ecological protection decision-making framework based on big data was deeply discussed,and the specific application of big data technology in ecological protection decision-making was systematically analyzed.At the same time,Daming Mountain in Guangxi was selected as a case to elaborate the application effect of big data in actual ecological protection projects and the social,economic and ecological value brought by it.
作者
龙月梅
罗聪
李瑶
苏宁
罗秋萍
欧月娥
Long Yue-mei(Guangxi Zhuang Autonomous Region Environmental Information Center,Naning,Guangxi 530028)
出处
《农业灾害研究》
2023年第10期127-129,共3页
Journal of Agricultural Catastrophology
关键词
大数据
生态保护决策
数据采集
Big data
Ecological protection decision
Data acquisition
