A comprehensive method for refining essential SDGs variables for land degradation monitoring based on the DPSIR framework  

作　　者：Yijing Zhao Xuesheng Zhao Deqin Fan Yue Qiu 

机构地区：[1]College of Geoscience and Surveying Engineering,China University of Mining and Technology(Beiing),Bejjing,.People's Republic of China

出　　处：《International Journal of Digital Earth》2023年第1期741-761,共21页国际数字地球学报（英文）

基　　金：supported by the key program of National Natural Science Foundation of China[grant number 41930650].

摘　　要：The United Nations adopted 17 Sustainable Development Goals(SDGs)to address societal,economic and environmental sustainability issues.The efficiency of SDGs monitoring could be improved by essential variables(EVs),which can help to better deal with massive data,interdisciplinary knowledge and workloads.However,in practice,effectively combining EVs with SDGs monitoring remains challenging.In this paper,we proposed a refining method of essential SDGs variables(ESDGVs)to land degradation.Firstly,we selected northwest China as our experimental region and extracted a group of variables related to land degradation from SDG indicators based on the DPSIR framework.Next,we identify the essential ones using a combined qualitative and quantitative methods with the criteria of feasibility,spatialization,and relevance which considered the issues of data acquisition,monitoring scale,and closeness to the land degradation.Finally,we analysed the monitoring role of ESDGVs.Results show that,compared to conventional observations,ESDGVs facilitate the monitoring and evaluation of regional SDGs with reduced efforts.And both climate and human activities have a facilitating or inhibiting effect on land degradation processes.In the future,we hope to have more mature data sets and consider adding more SDG indicators for ESDGVs’refinement.

关 键 词：Essential SDGs variables land degradation DPSIR framework comprehensive methods northwest China 

分 类 号：F301.2[经济管理—产业经济]