Succession of phytoplankton functional groups and their driving factors in a subtropical plateau lake

Cao, Jin; Hou, Zhuang; Li, Zekun; Chu, Zhaosheng; Yang, Pingping; Zheng, Binghui

doi:10.1016/j.scitotenv.2018.03.026

Cited by 88 publications

(40 citation statements)

References 44 publications

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“…In contrast to a previous study [26], our results showed extremely high relative abundances of Cyanobacteria in Erhai Lake. These high relative abundances of Cyanobacteria differed across sampling seasons, as Cyanobacteria always dominated Erhai Lake during summer [37]. We also found high abundances of Cyanobacteria in streams, while the dominant species of Cyanobacteria in streams were different from that in the lake.…”

Section: Discussionmentioning

confidence: 56%

Impact of Nutrient and Stoichiometry Gradients on Microbial Assemblages in Erhai Lake and Its Input Streams

Liu

Elser

et al. 2019

Water

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Networks of lakes and streams are linked by downslope flows of material and energy within catchments. Understanding how bacterial assemblages are associated with nutrients and stoichiometric gradients in lakes and streams is essential for understanding biogeochemical cycling in freshwater ecosystems. In this study, we conducted field sampling of bacterial communities from lake water and stream biofilms in Erhai Lake watershed. We determined bacterial communities using high-throughput 16S rRNA gene sequencing and explored the relationship between bacterial composition and environmental factors using networking analysis, canonical correspondence analysis (CCA), and variation partitioning analysis (VPA). Physicochemical parameters, nutrients, and nutrient ratios gradients between the lake and the streams were strongly associated with the differences in community composition and the dominant taxa. Cyanobacteria dominated in Erhai Lake, while Proteobacteria dominated in streams. The stream bacterial network was more stable with multiple stressors, including physicochemical-factors and nutrient-factors, while the lake bacterial network was more fragile and susceptible to human activities with dominant nutrients (phosphorus). Negative correlations between bacterial communities and soluble reactive phosphorus (SRP) as well as positive correlations between bacterial communities and dissolved organic carbon (DOC) in the network indicated these factors had strong effect on bacterial succession. Erhai Lake is in a eutrophic state, and high relative abundances of Synechococcus (40.62%) and Microcystis (16.2%) were noted during the course of our study. CCA indicated that nutrients (phosphorus) were key parameters driving Cyanobacteria-dominated community structure. By classifying the environmental factors into five categories, VPA analyses identified that P-factor (total phosphorus (TP) and SRP) as well as the synergistic effect of C-factor (DOC), N-factor (NO3−), and P-factor (TP and SRP) played a central role in structuring the bacterial communities in Erhai Lake. Heterogeneous physicochemical conditions explained the variations in bacterial assemblages in streams. This study provides a picture of stream–lake linkages from the perspective of bacterial community structure as well as key factors driving bacterial assemblages within lakes and streams at the whole watershed scale. We further argue that better management of phosphorus on the watershed scale is needed for ameliorating eutrophication of Erhai Lake.

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Section: Discussionmentioning

confidence: 56%

Impact of Nutrient and Stoichiometry Gradients on Microbial Assemblages in Erhai Lake and Its Input Streams

Liu

Elser

et al. 2019

Water

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“…Functional groups that contribute to more than 5% of total phytoplankton biomass for at least 1 month were classified as dominant groups (Xiao et al, 2011). Furthermore, the predominant functional groups were identified as the species with biomass values at maximum percentages every month, as stated in the data obtained by Cao et al (2018).…”

Section: Sampling and Analysismentioning

confidence: 93%

“…Gradient sampling at site 8 # demonstrated that group T was dominant even in deep water. In addition to Lake Fuxian, this filamentous green algae is also dominant in European deep lakes (Sommer, 1986) or reservoirs (Li et al, 2017) and subtropical freshwater lakes, such as Lake Taihu and Lake Erhai (Song et al, 2010;Cao et al, 2018). The distribution of group T is dependent on their characteristics of sensitivity to nutrient deficiency and tolerance for low light.…”

Section: Phytoplankton Functional Group Structure and Related Environmentioning

confidence: 99%

“…However, the content of Chla do not necessarily reflect the whole ecosystem function (Costa et al, 2009). Instead, phytoplankton structure is correlated with the adaptive strategies of different kinds of algae (Reynolds, 1998;Padisák et al, 2003;Cao et al, 2018). Therefore, phytoplankton community structure is considered to be more precise for evaluating ecosystem function than biomass or Chla content and is commonly used as an important sensitive indicator for detecting environmental changes in water regions (Reynolds et al, 1993;Hering et al, 2006;Yang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Thereafter, the functional group concept has been widely applied to researches on phytoplankton in lake and reservoir ecosystems worldwide (Xiao et al, 2011;Dantas et al, 2012;Costa et al, 2015;Tian et al, 2015;Ongun Sevindik et al, 2017). Nevertheless, knowledge about functional groups in subtropical plateau lakes remains limited (Cao et al, 2018). Lake Fuxian (24°21 0 -24°38 0 N, 102°49 0 -102°57 0 E, 1722 m a.s.l), an oligotrophic freshwater plateau lake located in central Yunnan Province, is the second deepest lake of China.…”

Section: Introductionmentioning

confidence: 99%

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Seasonal succession of phytoplankton functional groups in Lake Fuxian and its driving factors

Dong

Dai

et al. 2019

Ann. Limnol. - Int. J. Lim.

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The concept of phytoplankton functional groups was proposed based on data from numerous European lakes and has been widely used in lakes, reservoirs, rivers worldwide. However, the application of this concept to subtropical plateau lakes has rarely been reported. In this study, 16 sampling sites were selected across the entirety of Lake Fuxian, Yunnan, China. Eighteen phytoplankton functional groups (F, G, J, X2, X1,T, P, MP, D, C, H1, LO, S1, M, Y, E, W1 and W2) were classified according to the investigation of surface water and gradient depth samples. Nine of these groups, namely LO, H1, C, MP, P, T, X1, J and F, were identified as dominant species (>5% total biomass). Furthermore, LO, H1 and T were considered predominant (accounting for the maximum percentage of biomass in each month). The sampling showed that the seasonal succession of predominant assemblages in surface water was T (October) to H1 (January) to H1 (April) to Lo (July) and T+Lo (October) to T (January) to H1 (April) to Lo (July) in the gradient depth water. Redundancy analysis (RDA) combined with the indicator function of the phytoplankton groups suggested that WT and TN/TP were important factors in driving the succession of predominant assemblages all year around.

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Spatial–temporal patterns of fish trophic guilds in a freshwater river wetland ecosystem of northeastern China

Sun,

Wang,

Zhang

et al. 2024

Ecology and Evolution

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Muling River, situated amidst cultivated lands in Heilongjiang Province, northeastern China, has long been subjected to sand‐digging activities, resulting in severe damage to its riverbed. However, little research has been conducted on the impact of this disturbance on the status of fish community structure and trophic guilds in this river. In this study, environmental factors, fish community structure, and fish trophic guild biomass distribution patterns from the Muling River basin were investigated among seasons (spring, summer, and autumn) and sections (upper, middle, and lower stream) in 2015 and 2017. During the six sampling times periods, 46 species of five orders and 12 families of fish were classified into seven trophic guilds. Fish species number and biomass were higher upper reaches of the watershed. The insectivores (16.26%), phytoplanktivores (10.09%), benthivores (40.17%), and omnivores (11.86%) were the dominant trophic guilds. We found that fish trophic guilds biomass and environmental factors such as transparency, water depth, pH value, total phosphorus, and chemical oxygen demand were highest in the upper section compared to other sections. Variation partitioning revealed that fish trophic guilds biomass was influenced more by environmental factors (61.2%), followed by section (0.7%) and season (0.1%). Partial RDA ordination showed that fish trophic guilds were positively correlated with water depth and transparency, while negative with turbidity. This study underscores the importance of considering trophic guilds of freshwater fishes to inform management strategies in regions experiencing significant environmental change.

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Succession of phytoplankton functional groups and their driving factors in a subtropical plateau lake

Cited by 88 publications

References 44 publications

Impact of Nutrient and Stoichiometry Gradients on Microbial Assemblages in Erhai Lake and Its Input Streams

Impact of Nutrient and Stoichiometry Gradients on Microbial Assemblages in Erhai Lake and Its Input Streams

Seasonal succession of phytoplankton functional groups in Lake Fuxian and its driving factors

Spatial–temporal patterns of fish trophic guilds in a freshwater river wetland ecosystem of northeastern China

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