Ultrahigh-resolution 3D monitoring reveals sediment-derived plumes as algal bloom precursors

The global intensification of harmful algal blooms severely compromises freshwater ecosystems, threatening biodiversity and critical ecosystem services through toxin exposure, hypoxia, and water quality degradation. Bloom formation involves a complex interplay of nutrient dynamics, hydrology, and microbial activity. Although subsurface processes-such as the release of sediment-bound nutrients and the germination of dormant cyanobacteria-are thought crucial to bloom initiation, these phenomena occur at fine spatiotemporal scales beyond the reach of conventional monitoring. As a result, the exact, rapidly evolving triggers of bloom emergence remain mostly unknown. Here we show meter-scale chlorophyll <i>a</i> (Chl-<i>a</i>) plumes rising from the sediment-water interface, triggered by heavy rainfall and directly seeding surface blooms. We captured these dynamics using a custom underwater drone that collected over 2.8 million data points at 5-m horizontal and 1-m vertical resolution. Algal blooms exhibit a clear vertical sequence: anomalous Chl-<i>a</i> levels first appear in deep benthic layers after rainfall-driven resuspension, then intensify simultaneously across near-bed depths, and finally reach the surface after a median lag of 0.8-1.5 days. These observations provide <i>in situ</i> evidence associating benthic algal seed stocks with surface bloom initiation, revealing that the origin and spatial heterogeneity of such events arise from rainfall-driven disturbances at the sediment-water interface. This robotic approach not only deciphers the subsurface origins of algal blooms but also empowers predictive modeling and adaptive management strategies, advancing global efforts to combat eutrophication amid escalating climate pressures and safeguard vital water resources.

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Publication Details

Journal
Environmental Science and Ecotechnology
Published
2025-12-27
DOI
https://doi.org/10.1016/j.ese.2025.100652
Primary Topic
Aquatic Ecosystems and Phytoplankton Dynamics
Type
article
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article

Ultrahigh-resolution 3D monitoring reveals sediment-derived plumes as algal bloom precursors

Lian Feng Lian Feng, Zheng Pang, Tiefu Xu, Nan-Qi Ren et al.
Environmental Science and Ecotechnology
Aquatic Ecosystems and Phytoplankton Dynamics
article

Ultrahigh-resolution 3D monitoring reveals sediment-derived plumes as algal bloom precursors

Lian Feng Lian Feng, Zheng Pang, Tiefu Xu, Nan-Qi Ren, Aijie Wang, Chunmiao Zheng, Longxin Guo, Shu-Chien Hsu, Congchao Zhang, Peng Xiao, Hao Xu, Ying Chen, Dragan Savic, Shujie Xu, Chuan He, Zhugen Yang, Jie Feng, Zhidan Wen, Zhiling Li, Lingchao Kong, Yu Tao, Kaishan Song, Weibin Zheng, Hangyu Guo
article en

Abstract

The global intensification of harmful algal blooms severely compromises freshwater ecosystems, threatening biodiversity and critical ecosystem services through toxin exposure, hypoxia, and water quality degradation. Bloom formation involves a complex interplay of nutrient dynamics, hydrology, and microbial activity. Although subsurface processes-such as the release of sediment-bound nutrients and the germination of dormant cyanobacteria-are thought crucial to bloom initiation, these phenomena occur at fine spatiotemporal scales beyond the reach of conventional monitoring. As a result, the exact, rapidly evolving triggers of bloom emergence remain mostly unknown. Here we show meter-scale chlorophyll <i>a</i> (Chl-<i>a</i>) plumes rising from the sediment-water interface, triggered by heavy rainfall and directly seeding surface blooms. We captured these dynamics using a custom underwater drone that collected over 2.8 million data points at 5-m horizontal and 1-m vertical resolution. Algal blooms exhibit a clear vertical sequence: anomalous Chl-<i>a</i> levels first appear in deep benthic layers after rainfall-driven resuspension, then intensify simultaneously across near-bed depths, and finally reach the surface after a median lag of 0.8-1.5 days. These observations provide <i>in situ</i> evidence associating benthic algal seed stocks with surface bloom initiation, revealing that the origin and spatial heterogeneity of such events arise from rainfall-driven disturbances at the sediment-water interface. This robotic approach not only deciphers the subsurface origins of algal blooms but also empowers predictive modeling and adaptive management strategies, advancing global efforts to combat eutrophication amid escalating climate pressures and safeguard vital water resources.

Environmental Science and EcotechnologyVol. 29
Nanjing Tech University (CN), University of Nottingham Ningbo China (CN), Hong Kong Polytechnic University (HK), Chinese Academy of Sciences (CN), Harbin Institute of Technology (CN), University of Exeter (GB), Southern University of Science and Technology (CN), Wuhan University (CN), Northeast Institute of Geography and Agroecology (CN), State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN), KWR Water Research Institute (NL), Research Center for Eco-Environmental Sciences (CN), Heilongjiang University (CN), Cranfield University (GB)
Clean water and sanitation
Openalex Percentile: Top 38%
Aquatic Ecosystems and Phytoplankton Dynamics
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