Diatom Laboratory, University of Leon, La Serna 58, 24007, Leon, Spain.
Environ Sci Pollut Res Int. 2024 Apr;31(20):29449-29459. doi: 10.1007/s11356-024-33115-1. Epub 2024 Apr 5.
Diatoms are commonly used in environmental assessments to detect pollution and eutrophication. The specific pollution sensitivity index (SPI) is one of the most frequently used indices, which assigns scores to diatom taxa based on their sensitivity to pollution. The study analyzed diatom communities in the Duero River basin in Spain to examine the relationship between SPI scores and various limnological variables. A GLM model showed that phosphates, nitrites, and water temperature were the main factors explaining SPI variability. The study also reviews previous results using SPI for water quality monitoring in different world regions, highlighting the role of nutrients in general as major drivers of SPI values worldwide. Overall, the findings reinforce the reliability of SPI as a metric for biological monitoring in various watercourses.
硅藻通常用于环境评估中，以检测污染和富营养化。特定的污染敏感指数 (SPI) 是最常用的指数之一，它根据硅藻对污染的敏感程度给硅藻分类评分。本研究分析了西班牙杜罗河流域的硅藻群落，以检验 SPI 得分与各种湖泊学变量之间的关系。GLM 模型表明，磷酸盐、亚硝酸盐和水温度是解释 SPI 变异性的主要因素。该研究还回顾了使用 SPI 监测不同世界区域水质的先前结果，强调了营养物作为全球 SPI 值主要驱动因素的普遍作用。总的来说，这些发现增强了 SPI 作为各种水道生物监测指标的可靠性。
