Multivariate extremes in lakes

R. Iestyn Woolway (), Yan Tong, Lian Feng, Gang Zhao, Dieu Anh Dinh, Haoran Shi, Yunlin Zhang and Kun Shi
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R. Iestyn Woolway: Bangor University
Yan Tong: Southern University of Science and Technology
Lian Feng: Southern University of Science and Technology
Gang Zhao: Chinese Academy of Sciences
Dieu Anh Dinh: Dundalk Institute of Technology
Haoran Shi: Bangor University
Yunlin Zhang: Chinese Academy of Sciences
Kun Shi: Chinese Academy of Sciences

Nature Communications, 2024, vol. 15, issue 1, 1-12

Abstract: Abstract Extreme within-lake conditions have the potential to exert detrimental effects on lakes. Here we use satellite observations to investigate how the occurrence of multiple types of extremes, notably algal blooms, lake heatwaves, and low lake levels, have varied in 2724 lakes since the 1980s. Our study, which focuses on bloom-affected lakes, suggests that 75% of studied lakes have experienced a concurrent increase in at least two of the extremes considered (27% defined as having a notable increase), with 25% experiencing an increase in frequency of all three extremes (5% had a notable increase). The greatest increases in the frequency of these extremes were found in regions that have experienced increases in agricultural fertilizer use, lake warming, and a decline in water availability. As extremes in lakes become more common, understanding their impacts must be a primary focus of future studies and they must be carefully considered in future risk assessments.

Date: 2024
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DOI: 10.1038/s41467-024-49012-7

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