IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i4p849-d1118707.html
   My bibliography  Save this article

Spatiotemporal Changes and Driving Force Analysis of Land Sensitivity to Desertification in Xinjiang Based on GEE

Author

Listed:
  • Yazhou Zhao

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shengyu Li

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Dazhi Yang

    (University of Chinese Academy of Sciences, Beijing 100049, China
    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Jiaqiang Lei

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

  • Jinglong Fan

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China)

Abstract

Land desertification profoundly affects economic and social development, thus necessitating a collective response. Regional land control planning needs to assess the land sensitivity to desertification across different regions. In this study, we selected 12 factors from soil, vegetation, climate, and terrain aspects to calculate and evaluate Xinjiang’s land sensitivity to desertification, from 2001 to 2020, and analyzed its trends and drivers. The results indicated that the region is highly (22.93%) to extremely sensitive (34.63%) to desertification. Of these, deserts, Gobi lands, oasis–desert transitional zones, and the downstream of rivers are highly and extremely sensitive areas. Mountainous areas, oases, and along rivers are non- and mildly sensitive areas. Over the past two decades, most areas have experienced stability (45.07%) and a slight improvement of desertification (26.18%), while the Junggar Basin and Central Taklamakan Desert have seen slight and severe intensification trends, respectively. Climate-related indicators, such as surface temperature and potential evapotranspiration (PET), were identified as the most important drivers of changes in land sensitivity to desertification. Having an integrated water resource allocation and establishing the long-term monitoring of land sensitivity to desertification would have positive implications for desertification control.

Suggested Citation

  • Yazhou Zhao & Shengyu Li & Dazhi Yang & Jiaqiang Lei & Jinglong Fan, 2023. "Spatiotemporal Changes and Driving Force Analysis of Land Sensitivity to Desertification in Xinjiang Based on GEE," Land, MDPI, vol. 12(4), pages 1-20, April.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:4:p:849-:d:1118707
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/4/849/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/4/849/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maomao Zhang & Abdulla-Al Kafy & Bing Ren & Yanwei Zhang & Shukui Tan & Jianxing Li, 2022. "Application of the Optimal Parameter Geographic Detector Model in the Identification of Influencing Factors of Ecological Quality in Guangzhou, China," Land, MDPI, vol. 11(8), pages 1-20, August.
    2. José Dias Curto & José Castro Pinto, 2007. "New Multicollinearity Indicators in Linear Regression Models," International Statistical Review, International Statistical Institute, vol. 75(1), pages 114-121, April.
    3. Orestis Kairis & Andreas Karamanos & Dimitrios Voloudakis & John Kapsomenakis & Chrysoula Aratzioglou & Christos Zerefos & Constantinos Kosmas, 2022. "Identifying Degraded and Sensitive to Desertification Agricultural Soils in Thessaly, Greece, under Simulated Future Climate Scenarios," Land, MDPI, vol. 11(3), pages 1-21, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. R. Salmerón & J. García & C. B. García & M. M. López Martín, 2017. "A note about the corrected VIF," Statistical Papers, Springer, vol. 58(3), pages 929-945, September.
    2. Phiri, Isaac, 2020. "The effect of access to finance on commercialisation of smallholder maize farmers in Eswatini," Research Theses 334755, Collaborative Masters Program in Agricultural and Applied Economics.
    3. Wen Chen & Jinjie Wang & Jianli Ding & Xiangyu Ge & Lijing Han & Shaofeng Qin, 2023. "Detecting Long-Term Series Eco-Environmental Quality Changes and Driving Factors Using the Remote Sensing Ecological Index with Salinity Adaptability (RSEI SI ): A Case Study in the Tarim River Basin,," Land, MDPI, vol. 12(7), pages 1-23, June.
    4. Christos Argyropoulos & Theodoros Petrakis & Lito-Aspasia Roditi & Angeliki Kavga, 2023. "Opportunities and Potential for Energy Utilization from Agricultural and Livestock Residues in the Region of Thessaly," Sustainability, MDPI, vol. 15(5), pages 1-14, March.
    5. Mengba Liu & Yanfei Xiong & Anlu Zhang, 2024. "Can China’s Cross-Regional Ecological Fiscal Transfers Help Improve the Ecological Environment?—Evidence from Hubei Province," Land, MDPI, vol. 13(8), pages 1-23, July.
    6. Shanshan Wang & Qiting Zuo & Kefa Zhou & Jinlin Wang & Wei Wang, 2023. "Predictions of Land Use/Land Cover Change and Landscape Pattern Analysis in the Lower Reaches of the Tarim River, China," Land, MDPI, vol. 12(5), pages 1-17, May.
    7. Yating Zhao & Chunming Hu & Xi Dong & Jun Li, 2023. "NDVI Characteristics and Influencing Factors of Typical Ecosystems in the Semi-Arid Region of Northern China: A Case Study of the Hulunbuir Grassland," Land, MDPI, vol. 12(3), pages 1-21, March.
    8. Roman Salmerón Gómez & José García Pérez & María Del Mar López Martín & Catalina García García, 2016. "Collinearity diagnostic applied in ridge estimation through the variance inflation factor," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(10), pages 1831-1849, August.
    9. Gulbakram Ahmed & Mei Zan & Pariha Helili & Alimujiang Kasimu, 2023. "Responses of Vegetation Phenology to Urbanisation and Natural Factors along an Urban-Rural Gradient: A Case Study of an Urban Agglomeration on the Northern Slope of the Tianshan Mountains," Land, MDPI, vol. 12(5), pages 1-18, May.
    10. Jorge Andres Garcia & Angelos Alamanos, 2022. "Integrated Modelling Approaches for Sustainable Agri-Economic Growth and Environmental Improvement: Examples from Greece, Canada and Ireland," Land, MDPI, vol. 11(9), pages 1-19, September.
    11. Yan Xu & Zhaoyang Cai & Kaige Wang & Yuwei Zhang & Fengrong Zhang, 2022. "Evaluation for Appropriate Tillage of Sandy Land in Arid Sandy Area Based on Limitation Factor Exclusion Method," Land, MDPI, vol. 11(6), pages 1-12, May.
    12. Yukio Sadahiro & Yan Wang, 2018. "Configuration of sample points for the reduction of multicollinearity in regression models with distance variables," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 295-317, September.
    13. Jos� Dias Curto & Jos� Castro Pinto, 2011. "The corrected VIF (CVIF)," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(7), pages 1499-1507, June.
    14. Zhenbao Wang & Shihao Li & Jiarui Song & Shuyue Liu & Dong Liu & Jianlin Jia, 2024. "Contribution of built environment factors and their interactions with subway station ridership," Public Transport, Springer, vol. 16(3), pages 929-965, October.
    15. Zhaoxue Gai & Ying Xu & Guoming Du, 2023. "Spatio-Temporal Differentiation and Driving Factors of Carbon Storage in Cultivated Land-Use Transition," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
    16. Zhongyun Ni & Yinbing Zhao & Jingjing Liu & Yongjun Li & Xiaojiang Xia & Yang Zhang, 2024. "Navigating Ecological–Economic Interactions: Spatiotemporal Dynamics and Drivers in the Lower Reaches of the Jinsha River," Land, MDPI, vol. 13(12), pages 1-59, December.
    17. Yunlin He & Yanhua Mo & Jiangming Ma, 2022. "Spatio-Temporal Evolution and Influence Mechanism of Habitat Quality in Guilin City, China," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    18. Jinlong Zhang & Yuan Qi & Rui Yang & Xiaofang Ma & Juan Zhang & Wanqiang Qi & Qianhong Guo & Hongwei Wang, 2023. "Impacts of Climate Change and Land Use/Cover Change on the Net Primary Productivity of Vegetation in the Qinghai Lake Basin," IJERPH, MDPI, vol. 20(3), pages 1-16, January.
    19. Hongjia Zhu & Ao Wang & Pengtao Wang & Chunguang Hu & Maomao Zhang, 2025. "Spatiotemporal Dynamics and Response of Land Surface Temperature and Kernel Normalized Difference Vegetation Index in Yangtze River Economic Belt, China: Multi-Method Analysis," Land, MDPI, vol. 14(3), pages 1-20, March.
    20. Rafał Misa & Anton Sroka & Dawid Mrocheń, 2025. "Evaluating Surface Stability for Sustainable Development Following Cessation of Mining Exploitation," Sustainability, MDPI, vol. 17(3), pages 1-20, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2023:i:4:p:849-:d:1118707. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.