Water Research Institute and School of Biosciences, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK.
Environment Agency, PO Box 12, Warrington WA4 1HG, UK.
Sci Total Environ. 2024 Oct 10;946:174369. doi: 10.1016/j.scitotenv.2024.174369. Epub 2024 Jun 30.
River invertebrate communities across Europe have been changing in response to variations in water quality over recent decades, but the underlying drivers are difficult to identify because of the complex stressors and environmental heterogeneity involved. Here, using data from ∼4000 locations across England and Wales, collected over 29 years, we use three approaches to help resolve the drivers of spatiotemporal variation in the face of this complexity: i) mapping changes in invertebrate richness and community composition; ii) structural equation modelling (SEM) to distinguish land cover, water quality and climatic influences; and iii) geographically weighted regression (GWR) to identify how the apparent relationships between invertebrate communities and abiotic variables change across the area. Mapping confirmed widespread increases in richness and the proportion of pollution-sensitive taxa across much of England and Wales. It also revealed regions where pollution-sensitive taxa or overall richness declined, the former primarily in the uplands. SEMs confirmed strong increases in average biochemical oxygen demand and nutrient concentrations related to urban and agricultural land cover, but only a minority of land cover's effect upon invertebrate communities was explained by average water chemistry, highlighting potential factors such as episodic extremes or emerging contaminants. GWR identified strong geographical variation in estimated relationships between macroinvertebrate communities and environmental variables, with evidence that the estimated negative impacts of nutrients and water temperature were increasing through time. Overall the results are consistent with widespread biological recovery of Britain's rivers from past gross organic pollution, whilst highlighting declines in some of the most diverse and least impacted streams. Modelling points to a complex and changing set of drivers, highlighting the multifaceted impacts of catchment land cover and the evolving role of different stressors, with the relationship to gross organic pollution weakening, whilst estimated nutrient and warming effects strengthened.
欧洲的河流无脊椎动物群落近年来一直在发生变化,以响应水质的变化,但由于涉及复杂的胁迫因素和环境异质性,很难确定其根本驱动因素。在这里,我们利用在英格兰和威尔士约 4000 个地点收集的、跨越 29 年的数据集,使用三种方法来帮助解决在面对这种复杂性时空间和时间变化的驱动因素:i)绘制无脊椎动物丰富度和群落组成的变化图;ii)结构方程模型(SEM)以区分土地覆盖、水质和气候影响;iii)地理加权回归(GWR)以确定无脊椎动物群落与非生物变量之间的关系如何在整个地区发生变化。绘图证实,在英格兰和威尔士的大部分地区,丰富度和污染敏感类群的比例普遍增加。它还揭示了一些污染敏感类群或整体丰富度下降的地区,前者主要在高地。SEM 证实,与城市和农业土地覆盖相关的平均生化需氧量和营养物浓度有强劲增加,但土地覆盖对无脊椎动物群落的影响只有少数可以用平均水化学来解释,这突出了潜在因素,如偶发性极端情况或新出现的污染物。GWR 确定了无脊椎动物群落与环境变量之间的估计关系存在强烈的地理变化,有证据表明,营养物和水温的估计负面影响随着时间的推移而增加。总体而言,这些结果与英国河流从过去的有机污染总体得到广泛的生物恢复一致,同时也突显了一些最具多样性和受影响最小的溪流出现下降的情况。建模表明了一系列复杂和不断变化的驱动因素,突出了集水区土地覆盖的多方面影响以及不同胁迫因素的不断变化的作用,与总有机污染的关系减弱,而估计的营养物和变暖影响增强。