Duan Zihao, Wang Xiaolei, Sun Lin, Zhou Meilin, Luo Yi
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; National Engineering Laboratory for Port Hydraulic Construction Technology, Tianjin Research Institute for Water Transport Engineering, Tianjin 300456, China.
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Sci Total Environ. 2024 Nov 15;951:175615. doi: 10.1016/j.scitotenv.2024.175615. Epub 2024 Aug 17.
The desiccation of the Aral Sea has precipitated significant ecological degradation, resulting in the progressive development of vegetation on the exposed seafloor. Soil salinity emerges as a pivotal determinant in this ecological succession process. Employing a comprehensive methodology integrating multi-source datasets spanning from 1986 to 2023, this study elucidates the temporal changes in vegetation dynamics and soil salinity levels. Satellite imagery (Landsat-4/5/7/8), field soil samplings, hydrological and topographic data were analyzed to understand their interactions with regression analysis. The results reveal a consistent increasing trend in the Normalized Difference Vegetation Index (NDVI) across the exposed seabed since 1986. However, NDVI demonstrates a non-linear relationship with elevation in the North Aral Sea region. Interestingly, NDVI levels near an elevation of 42 m on the exposed seabed approximate those observed during the pre-recession period in the 1960s. Conversely, in the South Aral Sea region, NDVI demonstrates a linear upward trend with increasing elevation. Furthermore, the spatial distribution of soil salinity on the exposed seabed was delineated with linear regression analysis. It revealed water salinity levels at the time of sea recession can serve as a proxy for soil salinity in cases where direct soil data is unavailable. Through establishing a robust correlation between NDVI and soil salinity, the range of stable NDVI values on the exposed seabed was delineated. Lastly, three hypothetical scenarios of rising water levels were considered to evaluate changes in stable NDVI across different elevation gradients. If the water level returns to 45 m, the salt-desert area would decrease by 4.5 × 10 km, accounting for 23 % of the total area in 1960. At this water level, it is anticipated that lake hydrological conditions and ecological environments may restore to those observed in 1981. This study provides a long-term perspective on environmental changes in the Aral Sea region by integrating multiple data sources and analytical methods. The predictive insights from the scenario analysis offer valuable guidance for future water management and ecological restoration efforts. Compared with previous studies, it presents a detailed and comprehensive picture of the interplay between vegetation dynamics and soil salinity, highlighting the critical impact of water level changes on the region's ecosystem.
咸海的干涸引发了严重的生态退化,导致裸露海床上的植被逐渐生长。土壤盐度成为这一生态演替过程中的关键决定因素。本研究采用一种综合方法,整合了1986年至2023年的多源数据集,阐明了植被动态和土壤盐度水平的时间变化。分析了卫星图像(Landsat - 4/5/7/8)、野外土壤采样、水文和地形数据,以通过回归分析了解它们之间的相互作用。结果显示,自1986年以来,裸露海床上的归一化植被指数(NDVI)呈持续上升趋势。然而,在咸海北部地区,NDVI与海拔呈现非线性关系。有趣的是,裸露海床上海拔42米附近的NDVI水平接近20世纪60年代衰退前时期的观测值。相反,在咸海南部地区,NDVI随海拔升高呈线性上升趋势。此外,通过线性回归分析描绘了裸露海床上土壤盐度的空间分布。结果表明,在无法获取直接土壤数据的情况下,海退时的水体盐度水平可作为土壤盐度的替代指标。通过建立NDVI与土壤盐度之间的强相关性,划定了裸露海床上稳定NDVI值的范围。最后,考虑了三种水位上升的假设情景,以评估不同海拔梯度上稳定NDVI的变化。如果水位恢复到45米,盐漠面积将减少4.5×10平方千米,占1960年总面积的23%。在此水位下,预计湖泊水文条件和生态环境可能恢复到1981年时的状态。本研究通过整合多种数据来源和分析方法,提供了咸海地区环境变化的长期视角。情景分析得出的预测性见解为未来的水资源管理和生态恢复工作提供了有价值的指导。与以往研究相比,它详细全面地呈现了植被动态与土壤盐度之间的相互作用,突出了水位变化对该地区生态系统的关键影响。