Dynamical monitoring of soil salinization and attribution in the Three-North region of China from 2015--2022

Dynamical monitoring of soil salinization and attribution in the Three-North region of China from 2015--2022 | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 8 July 2025 V1 Latest version Share on Dynamical monitoring of soil salinization and attribution in the Three-North region of China from 2015--2022 Authors : Mengmeng Hong 0000-0001-8163-4133 , Juanle Wang 0000-0001-6651-9065 [email protected] , and Keming Yang Authors Info & Affiliations https://doi.org/10.22541/au.175199607.77250170/v1 150 views 109 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Soil salinization is a typical form of land degradation occurring in arid and semi-arid regions, threatening not only land-degradation neutrality in Sustainable Development Goal (SDG)15, but also food security caused by farmland salinization in SDG2. This study focuses on the Three-North region of China, using the feature space method to obtain the spatial distribution of salinization in 2015 and 2022 and conducting spatiotemporal change and attribution analysis. Based on the Landsat data, relevant surface parameters were extracted to construct two- and three-dimensional feature spaces. The Albedo-MSAVI-SI (AMS) model was selected for the inversion. The results show that from 2015–2022, the salinized area exhibited a decreasing trend, and salinization is mainly distributed in Inner Mongolia, Xinjiang, Qinghai, and Ningxia, with the center of salinization shifting towards the northwest. The salinized areas of croplands in 2015 and 2022 show a slight increase. Attribution analysis using Pearson, Kendall, and Spearman correlation coefficients revealed that precipitation, evapotranspiration, and vegetation were the main factors influencing salinization. Government measures such as salt reduction in agriculture, salt accumulation in plants, and regional management have effectively suppressed salinization. This study provides regional case studies and methodological support for SDG and salinization management. Supplementary Material File (manuscript.docx) Download 40.19 MB Information & Authors Information Version history V1 Version 1 08 July 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords soil salinization big earth data feature space land degradation sustainable development goals Authors Affiliations Mengmeng Hong 0000-0001-8163-4133 China University of Mining and Technology - Beijing View all articles by this author Juanle Wang 0000-0001-6651-9065 [email protected] Chinese Academy of Sciences Institute of Geographic Sciences and Natural Resources Research View all articles by this author Keming Yang China University of Mining and Technology - Beijing View all articles by this author Metrics & Citations Metrics Article Usage 150 views 109 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Mengmeng Hong, Juanle Wang, Keming Yang. Dynamical monitoring of soil salinization and attribution in the Three-North region of China from 2015--2022. Authorea . 08 July 2025. DOI: https://doi.org/10.22541/au.175199607.77250170/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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