首页|大数据视角下的蒙古高原生态屏障建设的问题、进展与建议

大数据视角下的蒙古高原生态屏障建设的问题、进展与建议

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蒙古高原位于西伯利亚针叶林到亚洲荒漠草原的过渡带上,具有显著的生态屏障服务功能,对于东北亚的生态安全和资源安全具有重要意义.生态屏障是一个涉及水、土、气、生等多个方面的宏大概念和复杂系统.传统研究由于缺少大数据支持,难以从全局视角深刻认识蒙古高原生态屏障.大数据时代的到来,为本区域以往数据匮乏的科研环境带来改善,为丰富对蒙古高原资源生态的全面理解提供了可能,也将有助于促进资源生态学科研究范式的转变.本研究首先梳理了生态屏障建设的现状,包括其理论研究、技术瓶颈和集成分析方面的不足.进而从自然资源、生态环境、可持续发展三个主要方面综述了大数据驱动蒙古高原科学研究进展.最后提出了大数据与人工智能相结合促进蒙古高原生态屏障建设的主要研究框架和关键科学问题.
Issues,Progress,and Recommendations in the Construction of Ecological Barrier on the Mongolian Plateau from the Perspective of Big Data
The Mongolian Plateau(MP),situated in the transitional zone between the Siberian taiga and the arid grasslands of Central Asia,plays a significant role as an Ecological Barrier(EB)with crucial implications for eco-logical and resource security in Northeast Asia.EB is a vast concept and a complex issue related to many aspects such as water,land,air,vegetation,animals,and people,et al.It is very difficult to understand the whole of EB without a comprehensive perspective,that traditional diverse studies cannot cover.Big data and artificial intelli-gence(AI)have enabled a shift in the research paradigm.Faced with these requirements,this study identified is-sues in the construction of EB on MP from a big data perspective.This includes the issues,progress,and future recommendations for EB construction-related studies using big data and AI.Current issues cover the status of theoretical studies,technical bottlenecks,and insufficient synergistic analyses related to EB construction.Research progress introduces advances in scientific research driven by big data in three key areas of MP:natural resources,the ecological environment,and sustainable development.For the future development of EB construction on MP,it is recommended to utilize big data and intelligent computing technologies,integrate extensive regional data re-sources,develop precise algorithms and automated tools,and construct a big data collaborative innovation plat-form.This study aims to call for more attention to big data and AI applications in EB studies,thereby supporting the achievement of sustainable development goals in the MP and enhancing the research paradigm transforming in the fields of resources and the environment.

Mongolian Plateauresources and ecologybig dataartificial intelligenceresearch paradigm

王卷乐、李凯、徐书兴、邵亚婷、王梦、李梦晗、张煜、刘亚萍、李凤娇、Ochir ALTANSUKH、Chuluun TOGTOKH

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中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京 100101

中国科学院大学资源与环境学院,北京 100049

江苏省地理信息资源开发与利用协同创新中心,南京 210023

中国矿业大学(北京)地球科学与测绘工程学院,北京 100083

西安科技大学测绘科学与技术学院,西安 710054

蒙古国立大学环境与森林工程系环境工程实验室,乌兰巴托 14201,蒙古

蒙古国立大学可持续发展研究所,乌兰巴托 14201,蒙古

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蒙古高原 资源生态 大数据 人工智能 研究范式

National Natural Science Foundation of ChinaNational Key R&D Program of Chinascience&Technology Fundamental Resources Investigation Program of ChinaMongolian Foundation for Science and TechnologyMongolian Foundation for Science and TechnologyKey R&D and Achievement Transformation Plan Project in Inner Mongolia Autonomous RegionKey Project of Innovation LREISConstruction Project of China Knowledge Center for Engineering Sciences and Technology

321611430252022YFE01192002022FY101902NSFC_2022/01CHN2022/2762023KJHZ0027KPI006CKCEST-2023-1-5

2024

10.5814/j.issn.1674-764x.2024.05.001

资源与生态学报(英文版)
中国科学院地理科学与资源研究所

资源与生态学报(英文版)

CSTPCD
影响因子：0.388
ISSN：1674-764X
年,卷(期)：2024.15(5)