A critical review of operational strategies for the management of harmful algal blooms (HABs) in inland reservoirs

Summers, Emily; Ryder, Jodi L.

doi:10.1016/j.jenvman.2022.117141

Cited by 43 publications

(13 citation statements)

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“…For example, light availability, temperature, turbidity, grazing pressure, and invasive species may also alter the algal growth or algal species variations. 7,11 Therefore, the relationship between nutrients and algal dynamics is not always straightforward and can be influenced by various environmental conditions. In oligotrophic mountain rivers, when light was not limiting, benthic algal abundance was also weakly correlated with phosphorus availability but ultimately controlled by temperature and river discharge.…”

Section: ■ Discussionmentioning

confidence: 99%

“…RDA analysis also showed that ammonium and TP negatively contributed to the growth of algae (not significant) (Figure ), suggesting that algal dynamics within aquatic ecosystems is complex and influenced by multiple factors beyond nutrient availability. For example, light availability, temperature, turbidity, grazing pressure, and invasive species may also alter the algal growth or algal species variations. , Therefore, the relationship between nutrients and algal dynamics is not always straightforward and can be influenced by various environmental conditions. In oligotrophic mountain rivers, when light was not limiting, benthic algal abundance was also weakly correlated with phosphorus availability but ultimately controlled by temperature and river discharge .…”

Section: Discussionmentioning

confidence: 99%

“…Consequently, extensive efforts have been directed toward reducing nutrient inputs into freshwater systems . While nutrient enrichment undoubtedly plays a significant role in fostering algal growth, many studies have also emphasized the critical role of other factors such as hydrodynamics, meteorological conditions, and reservoir characteristics in affecting algal growth. − Unlike other natural water bodies such as rivers or lakes, reservoirs are often influenced by manual regulation and exhibit a more complex variation in algal dynamics. The non-nutrient factors interact with nutrient dynamics and water quality characteristics, together shaping ecological niches for algal growth.…”

Section: Introductionmentioning

confidence: 99%

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Unveiling the Dominant Influence of Reservoir Characteristics over Water Quality on Algal Concentrations Revealed by qPCR Detection

Yin,

Lin,

et al. 2024

ACS EST Water

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This study develops a quantitative polymerase chain reaction (qPCR) method to detect four prevalent algal genera, Pseudanabaena, Cylindrospermopsis, Cryptomonas, and Limnothrixin nine drinking water reservoirs in Zhuhai, China. We examined the correlation between algal abundance and both water quality parameters and reservoir characteristics. Cryptomonas was the most abundant, with average levels at 6.76 ± 2.20 log10 copies/L, while Pseudanabaena showed the lowest at 4.93 ± 2.50 log10 copies/L. Although nutrient substances showed minimal impact, algal abundances exhibited active and substantial responses to reservoir characteristics including reservoir scale, water retention time, water supply source, and hydrological seasons. High algal abundances were significantly associated with large-scale reservoirs, long water retention time, river-fed reservoirs, and wet seasons (p < 0.05). Redundancy analysis indicated that reservoir characteristics account for 51.5% of the variation in algal abundance. This study demonstrates the effectiveness of qPCR in monitoring algal dynamics and highlights the significant role of reservoir characteristics in influencing algal blooms.

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Section: ■ Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Unveiling the Dominant Influence of Reservoir Characteristics over Water Quality on Algal Concentrations Revealed by qPCR Detection

Yin,

Lin,

et al. 2024

ACS EST Water

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“…Wind- driven hydrodynamic conditions are often an important factor in determining the extent of phytoplankton blooms ( Wu et al., 2015 ). Light and the hydrodynamic conditions also play a critical role in the development and maintenance of blooms ( Wang et al., 2020 ; Summers and Ryder, 2023 ). However, in this study, the influence of meteorological and hydrological factors was less than that of physiochemical factors ( Figure 5 ).…”

Section: Discussionmentioning

confidence: 99%

“…These strategies include the presence of gas vesicle aggregates, rapid cell division, and the use of specific metabolic pathways, among others ( Li et al., 2016 ). Summers and Ryder (2023) concluded that prolonged stratification reduces competition, decreases diversity, and leads to cyanobacteria-dominated blooms. In our study, stages 1 and 2 had relatively higher RWCS, but there was a drastic decrease in the abundance of Microcystis , due in part to reductions in TN and NH 4 -N. This suggests that nutrient availability may contribute more significantly than stratification to the transformation of the phytoplankton community towards a reduction of Microcystis blooms.…”

Section: Discussionmentioning

confidence: 99%

Daily process and key characteristics of phytoplankton bloom during a low-water level period in a large subtropical reservoir bay

Tan,

Wang,

Cai

2024

Front. Plant Sci.

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Reservoirs, heavily influenced by artificial management, often harbor phytoplankton assemblages dominated by cyanobacteria or dinoflagellates, triggering significant changes in aquatic ecosystems. However, due to limited sampling frequency and insufficient attention to species composition, the bloom processes and key characteristics of phytoplankton community structure have not been systematically elucidated. During the low-water level period when blooms are most likely to occur (June to September) in a tributary bay of the Three Gorges Reservoir, daily sampling was conducted to investigate phytoplankton community composition, identify significant environmental factors, and evaluate important structure characteristics of phytoplankton community. The results showed that Microcystis aeruginosa maintained a clear dominance for almost a month in stage 1, with low Shannon and evenness but a high dominance index. Phytoplankton total density and biomass decreased drastically in stage 2, but Microcystis aeruginosa still accounted for some proportion. The highest Shannon and evenness but the lowest dominance index occurred in stage 3. Peridiniopsis niei occurred massively in stage 4, but its dominant advantages lasted only one to two days. NH4-N was responsible for the dominance of Microcystis aeruginosa, while TP and PO4-P was responsible for the dominance of Peridiniopsis niei; however, precipitation contributed to their drastic decrease or disappearance to some extent. The TN : TP ratio could be considered as an important indicator to determine whether Microcystis aeruginosa or Peridiniopsis niei dominated the phytoplankton community. Throughout the study period, physiochemical factors explained more variation in phytoplankton data than meteorological and hydrological factors. Pairwise comparisons revealed an increase in average β diversity with stage progression, with higher β diversities based on abundance data than those based on presence/absence data. Repl had a greater effect on β diversity differences based on presence/absence data, whereas RichDiff had a greater effect on β diversity differences based on species abundance data. Co-occurrence networks for stage 1 showed the most complex structure, followed by stage 4, while the network for stage 3 was relatively sparse, although the overall community division remained compact. This study provides a useful attempt to explore the status and changes in phytoplankton community structure during the bloom process through high-resolution investigation.

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Anthropogenic and Climate‐Driven Changes on Harmful Algal Blooms in Two Chinese Reservoirs

Zahir,

Su,

Chen

et al. 2024

Ecohydrology

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This study assessed the impacts of anthropogenic and climate change on harmful algal blooms (HABs) in the Dongzhang and Shanzai Reservoirs from 1990 to 2023, focusing on land use and land cover change (LULCC) analysis. Through supervised classification of Landsat imagery, the study examined changes in cropland, forest, shrub, grassland water, barren and built‐up areas in the watersheds of both reservoirs and monitor HABs events. The Dongzhang catchment saw forest cover increase from 72.0% in 1990 to 75.3% in 2010 before decreasing to 71.7% in 2022, while cropland and built‐up areas fluctuated. Similarly, Shanzai's forest cover declined from 94.4% in 1996 to 91.4% in 2022, with cropland increasing. Significant HAB events in Dongzhang Reservoir peaked in 1990, 2010 and 2022, affecting up to 40% of the reservoir's area in 2022. In Shanzai Reservoir, HAB events showed an increasing trend from 1996 to 2018, with a peak in 2018 when 40% of the reservoir's area was affected. Land use changes exacerbate HABs, as seen in declining forest cover and increasing cropland and built‐up areas. Analysis using Landsat imagery showed HAB occurrences increasing from 1990 to 2023, with rising water temperatures indicating potential future increases. Addressing anthropogenic activities and climate change are vital to prevent and manage HABs, requiring improved monitoring and early warning systems. With remote sensing, water quality issues can be identified and managed. The findings emphasize the need for continuous monitoring, improved LULCC analysis, sediment pollution research and effective management strategies to protect water quality and ecosystem health under climate change. Recommendations include long‐term monitoring, nutrient input investigations, modelling studies, early warning systems and adaptation strategies.

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A critical review of operational strategies for the management of harmful algal blooms (HABs) in inland reservoirs

Cited by 43 publications

References 83 publications

Unveiling the Dominant Influence of Reservoir Characteristics over Water Quality on Algal Concentrations Revealed by qPCR Detection

Unveiling the Dominant Influence of Reservoir Characteristics over Water Quality on Algal Concentrations Revealed by qPCR Detection

Daily process and key characteristics of phytoplankton bloom during a low-water level period in a large subtropical reservoir bay

Anthropogenic and Climate‐Driven Changes on Harmful Algal Blooms in Two Chinese Reservoirs

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