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

2019 ◽  
Vol 55 ◽  
pp. 24
Author(s):  
Jing Dong ◽  
Chenlu Li ◽  
Dujuan Dai ◽  
Shuangshuang Yao ◽  
Sen Li ◽  
...  
Keyword(s):  
Surface Water ◽  
Functional Groups ◽  
Redundancy Analysis ◽  
Dominant Species ◽  
Seasonal Succession ◽  
Indicator Function ◽  
Total Biomass ◽  
Phytoplankton Functional Groups ◽  
Lake Fuxian ◽  
Depth Water

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.

Phytoplankton functional groups response to environmental parameters in Muling River basin of northeast China

2019 ◽  
Vol 55 ◽  
pp. 17
Author(s):  
Xu Sun ◽  
Patteson Chula Mwagona ◽  
Isaac Ekyamba Shabani ◽  
Wenjiu Hou ◽  
Xiaoyu Li ◽  
...  
Keyword(s):  
Functional Groups ◽  
River Basin ◽  
Light Availability ◽  
Seasonal Succession ◽  
Environmental Parameters ◽  
N:P Ratio ◽  
Ammonium Nitrogen ◽  
Nutrient Concentrations ◽  
Phytoplankton Functional Groups

The present study was carried out in the biggest tributary of Ussuri River of boundary between China and Russia. The Muling River basin has undergone a long-term dredging works, and waterbody became seriously turbid. The succession of phytoplankton functional groups succession and environmental factors in the river were sampled in 2015. We totally identified 83 species, belonging to 17 functional groups which 5 were predominant, including group F, M, MP, P and Y. The seasonal succession of phytoplankton functional groups was M/P-F/MP/P-MP/P. Results of Spearman correlation analysis and canonical correspondence analysis (CCA) revealed that phytoplankton functional groups were mainly influenced by nutrient concentrations and light availability including total nitrogen (TN), ammonium nitrogen (NH4+–N), nitrate nitrogen (NO3−–N), N:P ratio (N:P), water depth (D) and transparency (SD) in the basin.

scholarly journals Seasonal Succession of Phytoplankton Functional Groups and Driving Factors of Cyanobacterial Blooms in a Subtropical Reservoir in South China

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1167 ◽  
Author(s):  
Lingai Yao ◽  
Xuemin Zhao ◽  
Guang-Jie Zhou ◽  
Rongchang Liang ◽  
Ting Gou ◽  
...  
Keyword(s):  
Functional Groups ◽  
South China ◽  
Algal Cell ◽  
Seasonal Succession ◽  
Geographic Location ◽  
Water Source ◽  
Cyanobacterial Blooms ◽  
Nitrogen And Phosphorus ◽  
Phytoplankton Communities ◽  
Phytoplankton Functional Groups

Freshwater phytoplankton communities can be classified into a variety of functional groups that are based on physiological, morphological, and ecological characteristics. This classification method was used to study the temporal and spatial changes in the phytoplankton communities of Gaozhou Reservoir, which is a large municipal water source in South China. Between January 2015 and December 2017, a total of 155 taxa of phytoplankton that belong to seven phyla were identified. The phytoplankton communities were classified into 28 functional groups, nine of which were considered to be representative functional groups (relative biomass > 10%). Phytoplankton species richness was greater in the summer and autumn than in the winter and spring; cyanobacterial blooms occurred in the spring. The seasonal succession of phytoplankton functional groups was characterized by the occurrence of functional groups P (Staurastrum sp. and Closterium acerosum) and Y (Cryptomonas ovata and Cryptomonas erosa) in the winter and spring, and functional groups NA (Cosmarium sp. and Staurodesmus sp.) and P (Staurastrum sp. and Closterium acerosum) in the summer and autumn. The temperature, nitrogen, and phosphorus levels were the main factors driving seasonal changes in the phytoplankton communities of Gaozhou Reservoir. The functional group M (Microcystis aeruginosa) dominated the community during the cyanobacterial blooms in spring 2016, with the maximum algal cell density of 3.12 × 108 cells L−1. Relatively low temperature (20.8 °C), high concentrations of phosphorus (0.080–0.110 mg L−1), suitable hydrological and hydrodynamic conditions (e.g., relatively long retention time), and relatively closed geographic location in the reservoir were the key factors that stimulated the cyanobacterial blooms during the early stages.

scholarly journals Responses of phytoplankton functional groups to environmental factors in the Maixi River, southwest China

2017 ◽  
Author(s):  
Guojia Huang ◽  
Qiuhua Li ◽  
Xiaoqing Wang ◽  
Mengshu Han ◽  
Lei Li ◽  
...  
Keyword(s):  
Steady State ◽  
Phase I ◽  
Functional Groups ◽  
Phase Ii ◽  
Phytoplankton Biomass ◽  
Phytoplankton Community ◽  
Early Summer ◽  
Late Spring ◽  
Total Biomass ◽  
Phytoplankton Functional Groups

<p>The functional groups approach is an efficient way to analyze seasonal changes in phytoplankton biomass as it is based on the physiological, morphological, and ecological attributes of the species. In this study, we identified the functional groups and driving factors behind short-term succession in phytoplankton communities. We analyzed physical, chemical, and biological factors of the Maixi River in Baihua Reservoir (BHR) from August to September, 2013 (summer, phase I) and March to May, 2014 (late spring and early summer, phase II). The 226 samples collected were divided into 23 functional groups. In phase I, phytoplankton biomass ranged from 4.88 to 30.59 mg·L<sup>-1</sup>, and the group S1 (<em>Pseudanabaena limnetica</em>) had the greatest biomass. In phase II, phytoplankton biomass ranged from 2.22 to 50.61 mg·L<sup>-1</sup>, and groups Y (<em>Cryptomonas</em> sp.) and S1 (<em>P. limnetica</em>) had the greatest biomass. Dominant functional groups in the Maixi River changed from S1 + D + Y + Lo in phase I to Y + S1 in summer. Changes in the phytoplankton community varied between 0 and 0.144 day<sup>-1 </sup>in phase I and between 0.008 and 0.389 day<sup>-1 </sup>in later spring and early summer. This showed a steady-state phytoplankton community during the two phases, in which the functional groups S1 (<em>P. limnetica</em>) and Y (<em>Cryptomonas</em> sp.) were dominant.<em> Pseudanabaena limnetica</em>, <em>Synedra </em>sp., <em>Peridinium </em>sp., and<em> Cryptomonas</em> sp. were dominant during summer, contributing to 70% of the total biomass in the steady-state community, and<em> P. limnetica</em>,<em> Synedra </em>sp., <em>Cryptomonas</em> sp.,<em> </em>and <em>Chlamydomonas</em> sp. were dominant during later spring and early summer, contributing to 60% of the total biomass in the community. Groups S1, D, and Y formed easily in the Maixi River, but <em>P. limnetica</em> was the dominant species in the eutrophic conditions of the Maixi River. According to biotic and abiotic factors, we concluded that the Maixi River is hypertrophic, and water resource management should take blooms of <em>P. limnetica</em> occurring in May into account. Temperature and dissolved oxygen were the critical factors affecting the steady-state of the phytoplankton community in late spring and early summer and summer, respectively. Because the Maixi River is an important source in the BHR, its phytoplankton functional groups directly affect the ecological balance of the water environment.</p>

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