Chlorophyll-nutrient relationship changes with lake type, season and small-bodied zooplankton in a set of subtropical shallow lakes

Wu, Bowen; Dai, Shiniu; Wen, Xin-Li; Chang, Qian; Fang, Luo; Xu, Jinqian; Wang, Xiaodong; Li, Ying; Xi, Yi-Long

doi:10.1016/j.ecolind.2022.108571

Cited by 18 publications

(2 citation statements)

References 57 publications

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“…After experiencing eutrophication since the late 1980s, cyanobacterial bloom occurred in Xuanwu Lake in July 2005. Subsequent monitoring between 2006 and 2019 indicated a transition from moderate to mild eutrophication, primarily attributed to total nitrogen and total phosphorus as prominent environmental limiting factors (Hu et al, 2011;Chen et al, 2021;Wu et al, 2022). Phytoplankton community was gradually recovered and water quality was improved in this lake over time (Xu et al, 2010).…”

Section: Introductionmentioning

confidence: 94%

Phytoplankton community structure and water quality assessment in Xuanwu Lake, China

Qu,

Zhou

2024

Front. Environ. Sci.

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Phytoplankton community structure influences the water quality of freshwater lakes and attracts the attention worldwide. The physicochemical parameters including dissolved oxygen (DO), total nitrogen, total phosphorus, NH4+-N and CODMn and biological index such as Chl.a concentrations were measured in water of different sites of Xuanwu Lake, China in varied seasons. The Trophic level index (TLI) was calculated to evaluate the trophic status of the lake based on critical water quality parameters. The phytoplankton community structure and biomass in the water was also identified and detected. Obvious change of physicochemical parameters and biological index was detected in varied sampling time. The results showed that TN, TP, NH4+-N, CODMn and Chl.a had higher concentrations in June and August with higher temperature. Obtained Trophic level index values from key water quality indicators revealed that Xuanwu Lake exhibited a state of mesotrophic level in December 2021, mild eutrophic level in October and February, and remained in a state of moderate eutrophication during other periods having higher temperature. Chlorophyta exhibited the highest species diversity and accounted for 48.1% of the entire community. Cyanobacteria had higher density compared to other phytoplankton, which suggesting the potential ecological risk in the lake. These findings aligned with the outcomes of the analysis of the phytoplankton community structure, underscoring a certain degree of correlation between the primary water quality indicators and phytoplankton abundance in Xuanwu Lake. That is, higher discharge of contaminant including nutrients potentially dominated the phytoplankton community structure. The continuous monitoring of phytoplankton community and water quality enabled the assessment of its trophic status of urban lake. Appropriate measures such as adjustment of phytoplankton community structure were proposed to mitigate the eutrophication status of lake. The investigation indicated that phytoplankton variation was the important indicator of water quality and supplied direct evidence for the water quality management and ecosystem restoration of urban lakes.

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Section: Introductionmentioning

confidence: 94%

Phytoplankton community structure and water quality assessment in Xuanwu Lake, China

Qu,

Zhou

2024

Front. Environ. Sci.

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“…Rotifers have been used as model organisms to evaluate the toxicity of many environmental chemicals, including heavy metals [18], organic compounds [19], and nano-sized materials [20]. And increased supply of algal food could effectively alleviate the negative effects of toxicants to rotifers [21][22]. To the best of our knowledge, the effect of TBM on rotifers remains unknown, even though the toxicity of TBM on aquatic organisms has been noted [23].…”

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confidence: 99%

Effects of Tribromomethane on the Life-Table Demography of the Freshwater Rotifer <i>Brachionus calyciflorus</i> Pallas under Different Algal Densities

Li¹,

Xu²,

Tao³

et al. 2023

Pol. J. Environ. Stud.

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One of the most adopted methods to inactivate coronaviruses (COVID-19) is to use chlorine-containing disinfectants. Unfortunately, as a result, large amounts of disinfection byproducts (DBPs) containing chlorine can enter the river through the sewage treatment system [1]. It is even worse that chlorination is still the most widely applied disinfection method to inactivate pathogenic microorganisms for water treatment. Trihalomethanes (THMs), e.g. trichloromethane (TCM), bromodichloromethane

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Causal feedback loops modify lake chlorophyll a–nutrient relationships over two decades of nutrient reductions and climate warming

Fu,

Özkan,

Johansson

et al. 2024

Limnology & Oceanography

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Understanding how the causal feedback between phytoplankton and environmental drivers controlling the chlorophyll a (Chl a, as a proxy of phytoplankton biomass)–nutrient relationships are modulated under different ecosystem conditions is a major challenge in aquatic ecology. Using an empirical dynamic model (convergent cross mapping) on a 20‐yr dataset on 20 Danish lakes, we quantified hypothesized causal feedback networks for each lake and related them to lake system properties (e.g., mean water depth, nutrient concentrations and extent of reduction, climate warming) vs. the Chl a–nutrient relationship (estimated from generalized least square models). The results showed prevalent causal feedback across the studied lakes, which demonstrated clear patterns for the tested ecosystem variations. Weaker causal feedbacks were found in deeper lakes and lakes with larger warming trends, while stronger causal feedbacks appeared in lakes experiencing greater reductions of TP (total phosphorus) and TN (total nitrogen). Moreover, these causal feedbacks showed a strong and positive coupled pattern. Most of the causal feedbacks worked as enhancement loops, which promote the sensitivity of phytoplankton to TP, not least in shallow lakes with a high TP reduction, and as regulatory loops, which force a shift in the Chl a–TN relationship from a more negative slope in lakes experiencing a high nutrient reduction and weak warming to a positive slope in lakes with low nutrient reduction and stronger warming. Our findings suggest a mechanistic explanation of how internal feedbacks regulate the Chl a–nutrient relationships across a broad gradient of nutrient reductions, climate warming, and lake morphologies.

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Chlorophyll-nutrient relationship changes with lake type, season and small-bodied zooplankton in a set of subtropical shallow lakes

Cited by 18 publications

References 57 publications

Phytoplankton community structure and water quality assessment in Xuanwu Lake, China

Phytoplankton community structure and water quality assessment in Xuanwu Lake, China

Effects of Tribromomethane on the Life-Table Demography of the Freshwater Rotifer <i>Brachionus calyciflorus</i> Pallas under Different Algal Densities

Causal feedback loops modify lake chlorophyll a–nutrient relationships over two decades of nutrient reductions and climate warming

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