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Summer heatwaves promote blooms of harmful cyanobacteria

机译:夏季热浪促进有害蓝藻的繁殖

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摘要

Dense surface blooms of toxic cyanobacteria in eutrophic lakes may lead to mass mortalities of fish and birds, and provide a serious health threat for cattle, pets, and humans. It has been argued that global warming may increase the incidence of harmful algal blooms. Here, we report on a lake experiment where intermittent artificial mixing failed to control blooms of the harmful cyanobacterium Microcystis during the summer of 2003, one of the hottest summers ever recorded in Europe. To understand this failure, we develop a coupled biological-physical model investigating how competition for light between buoyant cyanobacteria, diatoms, and green algae in eutrophic lakes is affected by the meteorological conditions of this extreme summer heatwave. The model consists of a phytoplankton competition model coupled to a one-dimensional hydrodynamic model, driven by meteorological data. The model predicts that high temperatures favour cyanobacteria directly, through increased growth rates. Moreover, high temperatures also increase the stability of the water column, thereby reducing vertical turbulent mixing, which shifts the competitive balance in favour of buoyant cyanobacteria. Through these direct and indirect temperature effects, in combination with reduced wind speed and reduced cloudiness, summer heatwaves boost the development of harmful cyanobacterial blooms. These findings warn that climate change is likely to yield an increased threat of harmful cyanobacteria in eutrophic freshwater ecosystems.
机译:富营养化湖泊中有毒蓝细菌的密集表层开花可能导致鱼和鸟的大量死亡,并对牛,宠物和人类造成严重的健康威胁。有人认为,全球变暖可能增加有害藻华的发生率。在这里,我们报道了一项湖泊实验,在该实验中,间歇性人工混合未能控制有害的蓝藻微囊藻的繁殖,这是欧洲有史以来最热的夏季之一。为了理解这种失败,我们开发了一个生物物理耦合模型,研究富营养化湖泊中浮游蓝藻,硅藻和绿藻之间的光竞争如何受到这种极端夏季热浪的气象条件的影响。该模型由浮游植物竞争模型和一维水动力模型组成,该模型由气象数据驱动。该模型预测,高温将通过增加的生长速率直接促进蓝细菌的生长。此外,高温还提高了水柱的稳定性,从而减少了垂直湍流混合,从而改变了竞争平衡,有利于浮力蓝细菌。通过这些直接和间接的温度效应,再加上降低的风速和降低的混浊,夏季热浪促进了有害的蓝藻水华的形成。这些发现警告说,气候变化可能会在富营养化的淡水生态系统中增加有害蓝藻的威胁。

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