Knowledge Resource Center for Ecological Environment in Arid Area
| DOI | 10.3390/w16050643 |
| Spatial Assessment of Groundwater Salinity and Its Impact on Vegetation Cover Conditions in the Agricultural Lands of Al-Ahsa Oasis, Saudi Arabia | |
| Hassaballa, Abdalhaleem | |
| 通讯作者 | Hassaballa, A |
| 来源期刊 | WATER
 |
| EISSN | 2073-4441 |
| 出版年 | 2024 |
| 卷号 | 16期号:5 |
| 英文摘要 | This study investigated the complex relationship among groundwater salinity, soil texture, and vegetation health in Al-Ahsa Oasis, Saudi Arabia. Utilizing vegetation condition index data from 5 years of satellite imagery, alongside ground measurements of groundwater salinity and soil analysis, the study unveiled significant spatial heterogeneity. The vegetation health and groundwater salinity in the study area ranged from 27 to 70% and from 1.7 to 9.6 dS m(-1), respectively, and exhibited contrasting patterns, with a high vegetation condition index (healthy vegetation) in the north and east versus high salinity in the southwest. The applied cross-tabulation statistics revealed a strong negative correlation between the vegetation condition index and salinity, with good and normal vegetation health primarily coinciding with slightly saline groundwater. Soil texture further modulated the vegetation response, as Silt loam soils corresponded with good VCI, while silty clay loam only supported dry and normal conditions. The applied spatial autocorrelation analysis confirmed this, showing low vegetation clustering with silt texture and high salinity in the mid-west of the study area (p < 0.05). Outlier districts hint at local factors beyond simple salinity-vegetation health relationships. Finally, a conditional plot, applied as a spatial statistical approach, revealed that low vegetation health spatially correlates with high groundwater salinity (>5 dS m(-1)) on silt loam in the mid-west, while a higher vegetation condition index aligned with lower groundwater salinity in the east and north. These findings highlight the critical role of spatial variability and the need for advanced modeling and data integration to understand and predict the responses of vegetation to environmental challenges, and will be crucial for optimizing water management to ensure the long-term sustainability of Al-Ahsa Oasis. |
| 英文关键词 | vegetation condition salinity Al-Ahsa spatial autocorrelation groundwater |
| 类型 | Article |
| 语种 | 英语 |
| 开放获取类型 | gold |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:001183413900001 |
| WOS关键词 | DROUGHT ; QUALITY |
| WOS类目 | Environmental Sciences ; Water Resources |
| WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/405860 |
| 推荐引用方式 GB/T 7714 | Hassaballa, Abdalhaleem. Spatial Assessment of Groundwater Salinity and Its Impact on Vegetation Cover Conditions in the Agricultural Lands of Al-Ahsa Oasis, Saudi Arabia[J],2024,16(5). |
| APA | Hassaballa, Abdalhaleem.(2024).Spatial Assessment of Groundwater Salinity and Its Impact on Vegetation Cover Conditions in the Agricultural Lands of Al-Ahsa Oasis, Saudi Arabia.WATER,16(5). |
| MLA | Hassaballa, Abdalhaleem."Spatial Assessment of Groundwater Salinity and Its Impact on Vegetation Cover Conditions in the Agricultural Lands of Al-Ahsa Oasis, Saudi Arabia".WATER 16.5(2024). |
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