Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China
Soil salinization is a critical global environmental issue, exacerbated by climatic and anthropogenic factors, and posing significant threats to agricultural productivity and ecological stability in arid regions. Therefore, remote sensing-based dynamic monitoring of soil salinization is crucial for...
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2024-11-01
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| author | Shiqin Li Ilyas Nurmemet Jumeniyaz Seydehmet Xiaobo Lv Yilizhati Aili Xinru Yu |
| author_facet | Shiqin Li Ilyas Nurmemet Jumeniyaz Seydehmet Xiaobo Lv Yilizhati Aili Xinru Yu |
| author_sort | Shiqin Li |
| collection | DOAJ |
| description | Soil salinization is a critical global environmental issue, exacerbated by climatic and anthropogenic factors, and posing significant threats to agricultural productivity and ecological stability in arid regions. Therefore, remote sensing-based dynamic monitoring of soil salinization is crucial for timely assessment and effective mitigation strategies. This study used Landsat imagery from 2001 to 2021 to evaluate the potential of support vector machine (SVM) and classification and regression tree (CART) models for monitoring soil salinization, enabling the spatiotemporal mapping of soil salinity in the Yutian Oasis. In addition, the land use transfer matrix and spatial overlay analysis were employed to comprehensively analyze the spatiotemporal trends of soil salinization. The geographical detector (Geo Detector) tool was used to explore the driving factors of the spatiotemporal evolution of salinization. The results indicated that the CART model achieved 5.3% higher classification accuracy than the SVM, effectively mapping the distribution of soil salinization and showing a 26.76% decrease in salinized areas from 2001 to 2021. Improvements in secondary salinization and increased vegetation coverage were the primary contributors to this reduction. Geo Detector analysis highlighted vegetation (NDVI) as the dominant factor, and its interaction with soil moisture (NDWI) has a significant impact on the spatial and temporal distribution of soil salinity. This study provides a robust method for monitoring soil salinization, offering critical insights for effective salinization management and sustainable agricultural practices in arid regions. |
| format | Article |
| id | doaj-art-25da15672d0149638d598b0b08ddb42e |
| institution | OA Journals |
| issn | 2073-445X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| spelling | doaj-art-25da15672d0149638d598b0b08ddb42e2025-08-20T02:05:03ZengMDPI AGLand2073-445X2024-11-011311194110.3390/land13111941Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, ChinaShiqin Li0Ilyas Nurmemet1Jumeniyaz Seydehmet2Xiaobo Lv3Yilizhati Aili4Xinru Yu5College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, ChinaCollege of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, ChinaCollege of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830017, ChinaCollege of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, ChinaCollege of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, ChinaCollege of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, ChinaSoil salinization is a critical global environmental issue, exacerbated by climatic and anthropogenic factors, and posing significant threats to agricultural productivity and ecological stability in arid regions. Therefore, remote sensing-based dynamic monitoring of soil salinization is crucial for timely assessment and effective mitigation strategies. This study used Landsat imagery from 2001 to 2021 to evaluate the potential of support vector machine (SVM) and classification and regression tree (CART) models for monitoring soil salinization, enabling the spatiotemporal mapping of soil salinity in the Yutian Oasis. In addition, the land use transfer matrix and spatial overlay analysis were employed to comprehensively analyze the spatiotemporal trends of soil salinization. The geographical detector (Geo Detector) tool was used to explore the driving factors of the spatiotemporal evolution of salinization. The results indicated that the CART model achieved 5.3% higher classification accuracy than the SVM, effectively mapping the distribution of soil salinization and showing a 26.76% decrease in salinized areas from 2001 to 2021. Improvements in secondary salinization and increased vegetation coverage were the primary contributors to this reduction. Geo Detector analysis highlighted vegetation (NDVI) as the dominant factor, and its interaction with soil moisture (NDWI) has a significant impact on the spatial and temporal distribution of soil salinity. This study provides a robust method for monitoring soil salinization, offering critical insights for effective salinization management and sustainable agricultural practices in arid regions.https://www.mdpi.com/2073-445X/13/11/1941CARTgeographical detectorsoil salinization mappingspatiotemporal variationspatiotemporal distribution |
| spellingShingle | Shiqin Li Ilyas Nurmemet Jumeniyaz Seydehmet Xiaobo Lv Yilizhati Aili Xinru Yu Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China Land CART geographical detector soil salinization mapping spatiotemporal variation spatiotemporal distribution |
| title | Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China |
| title_full | Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China |
| title_fullStr | Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China |
| title_full_unstemmed | Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China |
| title_short | Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China |
| title_sort | spatiotemporal dynamics and driving factors of soil salinization a case study of the yutian oasis xinjiang china |
| topic | CART geographical detector soil salinization mapping spatiotemporal variation spatiotemporal distribution |
| url | https://www.mdpi.com/2073-445X/13/11/1941 |
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