关键词:
Mongolian Plateau
resources and ecology
big data
artificial intelligence
research paradigm
摘要:
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 ecological and resource security in Northeast *** is a vast concept and a complex issue related to many aspects such as water,land,air,vegetation,animals,and people,et *** is very difficult to understand the whole of EB without a comprehensive perspective,that traditional diverse studies cannot *** data and artificial intelligence(AI)have enabled a shift in the research *** with these requirements,this study identified issues in the construction of EB on MP from a big data *** includes the issues,progress,and future recommendations for EB construction-related studies using big data and *** issues cover the status of theoretical studies,technical bottlenecks,and insufficient synergistic analyses related to EB *** progress introduces advances in scientific research driven by big data in three key areas of MP:natural resources,the ecological environment,and sustainable *** the future development of EB construction on MP,it is recommended to utilize big data and intelligent computing technologies,integrate extensive regional data resources,develop precise algorithms and automated tools,and construct a big data collaborative innovation plat*** 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.