New insights into cyanobacterial blooms and the response of associated microbial communities in freshwater ecosystems

Du, Caili; Li, Guowen; Xia, Rui; Li, Caole; Zhu, Qinyi; Li, Xiaoguang; Li, Jiaxi; Zhao, Chen; Tian, Zhenjun; Zhang, Lieyu

doi:10.1016/j.envpol.2022.119781

Cited by 27 publications

(4 citation statements)

References 63 publications

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“…Yet, at a more granular level of algae management, it is the overlooked and harder-to-detect species that play a crucial role in maintaining the ecological balance among algae and offering insights for the biological management of cyanobacterial blooms. 4,5 Recognizing this gap, we introduce the MAgic model.…”

Section: Discussionmentioning

confidence: 99%

“…Specifically, within the singular aquatic environments dominated by a few algae species, targeted cultivation can yield satisfactory performance metrics for these predominant species. Yet, at a more granular level of algae management, it is the overlooked and harder‐to‐detect species that play a crucial role in maintaining the ecological balance among algae and offering insights for the biological management of cyanobacterial blooms 4,5 . Recognizing this gap, we introduce the MAgic model.…”

Section: Discussionmentioning

confidence: 99%

“…The excessive growth and reproduction of cyanobacteria have caused serious damage to public drinking water sources and aquatic ecosystems 3 . Therefore, it is critical to monitor and control cyanobacterial blooms in freshwater bodies 4,5 …”

Section: Introductionmentioning

confidence: 99%

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Detection of algal tiny objects based on morphological features

Yuan,

Peng,

Shi

et al. 2024

Concurrency and Computation

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SummaryThe dense and toxic blooms formed by cyanobacteria in aquatic environments pose significant threats to public health and aquatic ecosystems. Timely monitoring and prevention of cyanobacterial blooms in freshwater bodies are thus imperative. Although object detection methods have been applied in the field of algae identification, existing research faces several challenges. A primary issue is the overly idealistic setting of training sets, which are disconnected from the actual water quality environments, impeding practical algae identification and water quality monitoring. In this paper, we collect 2024 microscopic images of algae from a reservoir in Southern China, forming a comprehensive and diverse dataset for object detection. Addressing the aforementioned challenges, we propose an attention‐based strategy for the detection of tiny algal objects, which effectively samples and extracts features from algal targets. Our model uniquely leverages the morphable characteristics of algae, enhancing the accuracy and efficiency of identification. The training and improvement results of this model presented in our study are expected to aid in establishing a future system for real‐time algae monitoring and water quality assessment.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Detection of algal tiny objects based on morphological features

Yuan,

Peng,

Shi

et al. 2024

Concurrency and Computation

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“…To date, the studies show that most methods for algae removal would produce the harmful by-products, or the heavy metals accumulation such as Cu in ecosystems (Du, Li et al 2022). Therefore, there is an urgent need for an effective and eco-friendly way to impede the proliferation of upcoming cyanobacterial blooms.…”

Section: Introductionmentioning

confidence: 99%

Effects of microcystin-LR on purification of drinking water source and physiological response of Hydrocharis dubia (Bl.) backer

Liu

Dong

Lin

2023

Preprint

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The safety of drinking water source directly affects human health. Ensuring the safety of drinking water is critical. Microcystin-LR (MC-LR), a toxic and common pollutant, releases by algae into drinking water source and can impede the in-situ remediation effect of aquatic plant on drinking water source purification. However, the effect mechanism of the MC-LR on the purification of the drinking water by aquatic plant remains unclear. This study aims to explore the effects mechanism of MC-LR (0–10 µg L− 1) on drinking water source purification by Hydrocharis dubia (Bl.) backer. After an exposure experiment, the removal rate of NH4+-N, TP, and COD promoted significantly at low concentrations of MC-LR (< 1µg L− 1). And the removal rate of NH4+-N, TP, and COD increased from 78.9–90.7%, 70.0–93.2%, and 46.0–77.3%, respectively. With the increase of MC-LR concentration, the pollutant removal rate was obviously inhibited causing by concentration-dependent. Furthermore, the growth and development of the Hydrocharis dubia (Bl.) backer roots were significantly promoted at the concentration of 0.2 µg L− 1. The length, tips, surface area, and average diameter of the root increased by 71.3%, 271.4%, 265.5%, and 113.0%, respectively. Chlorophyll contents under low-concentration MC-LR shows a 14.5%-15.7% promoting effect compared with the control group (CK). The activities of POD and CAT were also stimulated with the MC-LR increasing at low concentration. Notably, the MDA contents increased with increasing MC-LR concentration (p < 0.01). Therefore, the presence of MC-LR could affect the purification efficiency of Hydrocharis dubia (Bl.) backer in drinking water source. This study indicates the effect mechanism of MC-LR on drinking source water purification by Hydrocharis dubia (Bl.) backer.

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