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大气稳定和气候变暖对蓝藻水华的影响:基于个体的建模方法。

Impacts of atmospheric stilling and climate warming on cyanobacterial blooms: An individual-based modelling approach.

机构信息

School of Engineering and Built Environment, Griffith University, QLD 4222, Australia.

Australian Rivers Institute, Griffith University, QLD 4111, Australia.

出版信息

Water Res. 2022 Aug 1;221:118814. doi: 10.1016/j.watres.2022.118814. Epub 2022 Jul 4.

Abstract

Harmful algal blooms of the freshwater cyanobacteria genus Microcystis are a global problem and are expected to intensify with climate change. In studies of climate change impacts on Microcystis blooms, atmospheric stilling has not been considered. Stilling is expected to occur in some regions of the world with climate warming, and it will affect lake stratification regimes. We tested if stilling could affect water column Microcystis distributions using a novel individual-based model (IBM). Using the IBM coupled to a three-dimensional hydrodynamic model, we assessed responses of colonial Microcystis biomass to wind speed decrease and air temperature increase projected under a future climate. The IBM altered Microcystis colony size using relationships with turbulence from the literature, and included light, temperature, and nutrient effects on Microcystis growth using input data from a shallow urban lake. The model results show that dynamic variations in colony size are critical for accurate prediction of cyanobacterial bloom development and decay. Colony size (mean and variability) increased more than six-fold for a 20% decrease in wind speed compared with a 2 °C increase in air temperature. Our results suggest that atmospheric stilling needs to be included in projections of changes in the frequency, distribution and magnitude of blooms of buoyant, colony-forming cyanobacteria under climate change.

摘要

淡水蓝藻微囊藻属的有害藻类水华是一个全球性问题,预计随着气候变化会加剧。在研究气候变化对微囊藻水华的影响时,大气稳定度尚未被考虑。随着气候变暖,预计世界上一些地区会出现大气稳定度,这将影响湖泊分层制度。我们使用一种新的基于个体的模型 (IBM) 来测试稳定度是否会影响水柱中的微囊藻分布。我们使用 IBM 与三维水动力模型耦合,评估了在未来气候下预计的风速下降和空气温度升高对群体微囊藻生物量的响应。IBM 使用文献中的与湍流相关的关系来改变微囊藻群体的大小,并使用来自浅城市湖泊的输入数据来包括光、温度和营养对微囊藻生长的影响。模型结果表明,群体大小的动态变化对于准确预测蓝藻水华的发展和衰减至关重要。与空气温度升高 2°C 相比,风速降低 20%时,群体大小(平均值和变异性)增加了六倍以上。我们的研究结果表明,在气候变化下,对于浮性、群体形成的蓝藻的水华频率、分布和规模的变化预测,需要考虑大气稳定度。

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