Identification of Regime Shifts and Their Potential Drivers in the Shallow Eutrophic Lake Yilong, Southwest China

Zhao, Liang; Wang, Mingguo; Liang, Zhongyao; Zhou, Qihai

doi:10.3390/su12093704

Cited by 8 publications

(3 citation statements)

References 57 publications

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“…Thus, Chl-a is an important indicator used for investigating eutrophication, and it plays a key role in the evaluation of the nutritional status of the lake water. It was found that Chl-a in Lake Yilong changed with seasons [40][41][42].…”

Section: Seasonal Variations Of Chlorophyll-amentioning

confidence: 99%

Seasonal Water Quality Changes and the Eutrophication of Lake Yilong in Southwest China

Sui

Duan

Zhang

et al. 2022

Water

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To better understand the seasonal variation characteristics and trend of water quality in Lake Yilong, we monitored water quality parameters and measured nutrients, including the water temperature (WT), Chlorophyll-a (Chl-a), dissolved oxygen (DO) and pH from September 2016 to May 2020, total nitrogen (TN) and total phosphorus (TP) from October 2016 to August 2018. The results showed that the lake water was well mixed, resulting in no significant thermal stratification. The DO content was decreased in the northwest part of the lake during September and October, resulting in a hypoxic condition. It also varied at different locations of the lake and showed a high heterogeneity and seasonal variability. The Chl-a concentration in Lake Yilong demonstrated seasonal and spatial changes. It was maximum at the center and southwest area of the lake in January. However, in the northwest part of the lake, the maximum value appeared in September and October. The content of TN in the rainy season increased by 75% compared with that in dry season and TP content show a downward trend (from 0.11 mg/L to 0.05 mg/L). The comprehensive nutrition index evaluation shows that the water quality of Lake Yilong in 2016 was middle eutrophic (TLI = 60.56), and that in 2017 (TLI = 56.05) and 2018 (TLI = 56.38) was weak eutrophic, showing that the nutritional status has improved. TN remained at a high level (2.15 ± 0.48 mg/L), water quality needs further improvement. Based on our monitoring and analysis, it is recommended that human activities in the watershed of the lake should be constrained and managed carefully to maintain the water quality of the lake and adopt effective water quality protection and ecological restoration strategies and measures to promote continuous improvement of water quality, for a sustainable social development.

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Section: Seasonal Variations Of Chlorophyll-amentioning

confidence: 99%

Seasonal Water Quality Changes and the Eutrophication of Lake Yilong in Southwest China

Sui

Duan

Zhang

et al. 2022

Water

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“…Lakes are one of the most important freshwater resources in the world. Grass-type and algae-type lakes represent different stages in the lake succession process, with macrophytes and algae being the primary producers of the two stages, which are mutually inhibited [1][2][3]. Due to the increasing intensity of development and the utilization of resources in lake basins in recent years, a series of ecological and environmental problems have arisen in some lakes [4,5].…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Phytoplankton Productivity in Three Typical Lake Zones of Taihu, China

Wei,

Ji,

2024

Sustainability

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In lake aquatic ecosystems, which form the material and energy base of lakes, primary production is critical. The present study addresses the characteristics of primary phytoplankton productivity and its relationship with environmental physicochemical factors in three typical zones (algae-type, transition, and grass-type) of the eutrophic Lake Taihu. Seasonal sampling was conducted, and black–white bottle oxygen measurement was used to determine the primary productivity in different water layers in the lake. The results show obvious temporal and spatial differences in the physicochemical factors and phytoplankton productivity in Lake Taihu. The water column productivity and respiration conformed to the following seasonal descending order, summer > fall > spring > winter, and the following regional descending order, algae-type zone > transition zone > grass-type zone. The seasonal proportions of primary productivity were approximately 40% in the summer, 25% in the fall, 20% in the spring, and less than 15% in the winter. The highest values of water layer productivity and respiration were mainly at a depth of 0.2 m and decreased with the water depth. The percentage of productivity at different water layers was 23% (0 m), 31% (0.2 m), 23% (0.4 m), 11% (0.6 m), 7% (0.8 m), and 5% (1 m). The optical compensation depth for Lake Taihu was about 0.8 times the transparency (SD). Spearman correlation indicated that the temperature (T) and water depth (D) had an obvious impact on productivity in all three lake zones. Multiple stepwise regression suggested that T, D, SD, and chlorophyll-a (Chl-a) can be used to estimate productivity in different seasons/regions. The main influencing factors on phytoplankton productivity are T, D, Chl-a, and SD in the algae-type and transition zones and T, D, and total suspended solids (TSSs) in the grass-type zone.

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“…More importantly, such studies can identify both the loss and recovery of ecosystem resilience [10]. Additionally, tracking the extent of changes in traits may provide insight into how communities rebound either by hysteretic or non-hysteretic pathways [10,11] and also may provide information about the subtle changes indicating a regime shift that ultimately leads to alternative stable states [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Trait-Based Research on Rotifera: The Holy Grail or Just Messy?

Obertegger

Wallace

2023

Water

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In recent years, trait-based research on plankton has gained interest because of its potential to uncover general roles in ecology. While trait categories for phytoplankton and crustaceans have been posited, rotifer trait assessment has lagged behind. Here, we reviewed the literature to assess traits key to their life histories and provided a data matrix for the 138 valid genera of phylum Rotifera. We considered seven traits: habitat type, trophi type, presence of lorica and foot, predation defense attributes, corona type, and feeding traits. While most traits were morphological attributes and supposedly easy to assess, we were faced with several challenges regarding trait assignment. Feeding traits were especially difficult to assess for many genera because relevant information was missing. Our assembled trait matrix provides a foundation that will initiate additional research on rotifer functional diversity, diminish the misclassification of rotifer genera into trait categories, and facilitate studies across trophic levels.

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Identification of Regime Shifts and Their Potential Drivers in the Shallow Eutrophic Lake Yilong, Southwest China

Cited by 8 publications

References 57 publications

Seasonal Water Quality Changes and the Eutrophication of Lake Yilong in Southwest China

Seasonal Water Quality Changes and the Eutrophication of Lake Yilong in Southwest China

Characteristics of Phytoplankton Productivity in Three Typical Lake Zones of Taihu, China

Trait-Based Research on Rotifera: The Holy Grail or Just Messy?

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