EconPapers    
Economics at your fingertips  
 

Upscaling Soil Salinization in Keriya Oasis Using Bayesian Belief Networks

Hong Chen, Jumeniyaz Seydehmet () and Xiangyu Li
Additional contact information
Hong Chen: College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830017, China
Jumeniyaz Seydehmet: College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830017, China
Xiangyu Li: College of Geographical Science and Tourism, Xinjiang Normal University, Urumqi 830017, China

Sustainability, 2025, vol. 17, issue 15, 1-23

Abstract: Soil salinization in oasis areas of arid regions is recognized as a dynamic and multifaceted environmental threat influenced by both natural processes and human activities. In this study, 13 spatiotemporal predictors derived from field surveys and remote sensing are utilized to construct a spatial probabilistic model of salinization. A Bayesian Belief Network is integrated with spline interpolation in ArcGIS to map the likelihood of salinization, while Partial Least Squares Structural Equation Modeling (PLS-SEM) is applied to analyze the interactions among multiple drivers. The test results of this model indicate that its average sensitivity exceeds 80%, confirming its robustness. Salinization risk is categorized into degradation (35–79% probability), stability (0–58%), and improvement (0–48%) classes. Notably, 58.27% of the 1836.28 km 2 Keriya Oasis is found to have a 50–79% chance of degradation, whereas only 1.41% (25.91 km 2 ) exceeds a 50% probability of remaining stable, and improvement probabilities are never observed to surpass 50%. Slope gradient and soil organic matter are identified by PLS-SEM as the strongest positive drivers of degradation, while higher population density and coarser soil textures are found to counteract this process. Spatially explicit probability maps are generated to provide critical spatiotemporal insights for sustainable oasis management, revealing the complex controls and limited recovery potential of soil salinization.

Keywords: arid oasis; soil salinization; combined modeling; spatial dynamic probability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/17/15/7082/pdf (application/pdf)
https://www.mdpi.com/2071-1050/17/15/7082/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:15:p:7082-:d:1717682

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-08-13
Handle: RePEc:gam:jsusta:v:17:y:2025:i:15:p:7082-:d:1717682