Effect of algal blooms outbreak and decline on phosphorus migration in Lake Taihu, China

2021 ◽  
pp. 118761
Author(s):  
Jiehua Wang ◽  
Yunkai Zhou ◽  
Xiuling Bai ◽  
Wenchao Li
Keyword(s):  
Harmful Algae ◽  
2017 ◽  
Vol 68 ◽  
pp. 168-177 ◽  
Author(s):  
Xiaomei Su ◽  
Alan D. Steinman ◽  
Xiangming Tang ◽  
Qingju Xue ◽  
Yanyan Zhao ◽  
...  

2022 ◽  
Author(s):  
Han Gao ◽  
Ze Zhao ◽  
Lu Zhang ◽  
Feng Ju

Cyanobacterial harmful algal blooms (CyanoHABs) are globally intensifying and exacerbated by climate change and eutrophication. However, microbiota assembly mechanisms underlying CyanoHABs remain scenario specific and elusive. Especially, cyanopeptides, as a group of bioactive secondary metabolites of cyanobacteria, could affect microbiota assembly and ecosystem function. Here, the trajectory of cyanopeptides were followed and linked to microbiota during Microcystis-dominated CyanoHABs in lake Taihu, China. The most abundant cyanopeptide classes detected included microginin, spumigin, microcystin, nodularin and cyanopeptolin with total MC-LR-equivalent concentrations between 0.23 and 2051.54 ppb, of which cyanotoxins beyond microcystins (e.g., cyanostatin B and nodularin_R etc.) far exceeded reported organismal IC50 and negatively correlated with microbiota diversity, exerting potential collective eco-toxicities stronger than microcystins alone. The microbial communities were differentiated by size fraction and sampling date throughout CyanoHABs, and surprisingly, their variances were better explained by cyanopeptides (19-38%) than nutrients (0-16%). Cyanopeptides restriction (e.g., inhibition) and degradation are first quantitatively verified as the deterministic drivers governing community assembly, with stochastic processes being mediated by interplay between cyanopeptide dynamics and lake microbiota. This study presents an emerging paradigm in which cyanopeptides restriction and degradation co-mediate lake water microbiota assembly, unveiling new insights about the ecotoxicological significance of CyanoHABs to freshwater ecosystems.


2019 ◽  
Vol 91 (5) ◽  
pp. 369-376
Author(s):  
Mengqi Jiang ◽  
Xiyan Ji ◽  
Yanping Zhou ◽  
Weizhen Zhang ◽  
Chengjin Zhang ◽  
...  

2014 ◽  
Vol 40 (4) ◽  
pp. 949-955 ◽  
Author(s):  
Wei Zhu ◽  
Ming Li ◽  
Yonggang Luo ◽  
Xiaoxuan Dai ◽  
Lili Guo ◽  
...  

2014 ◽  
Vol 77 (1) ◽  
pp. 9-16 ◽  
Author(s):  
Hongtao Duan ◽  
Steven Arthur Loiselle ◽  
Li Zhu ◽  
Lian Feng ◽  
Yuchao Zhang ◽  
...  
Keyword(s):  

2014 ◽  
Vol 26 (6) ◽  
pp. 907-915 ◽  
Author(s):  
XIA Xiaorui ◽  
◽  
WEI Yuchun ◽  
XU Ning ◽  
YUAN Zhaojie ◽  
...  

2020 ◽  
Author(s):  
Wei Li ◽  
Boqiang Qin

<p>  Cyanobacterial blooms caused by eutrophication in Lake Taihu, China are recognized as highly heterogeneous spatiotemporally. It is assumed that the high spatiotemporal heterogeneity of algal blooms is determined by divergence/ convergence processes in the fluid medium. To address this issue, three episodes of the dominant spatial patterns of hourly simulated divergence fields of current in Lake Taihu in July of 2012 were analyzed using a hydrodynamic numerical model combined with the Empirical Orthogonal Function (EOF) method. The results showed that, on days that blooms occurred, the first two EOF modes explained 89.4% of the variability and the dominant spatial patterns of stronger convergence zones were in agreement with the regions of bloom occurrence and accumulation. When no blooms occurred, the first EOF mode explained 72.5% of the variability and divergence zones were dominant in the lake. Both the simulated hourly average divergence field and the first EOF mode in the time interval in which blooms occurred further confirmed that blooms accumulate in the current convergence zones. These findings explain the dynamic mechanism of occurrence of cyanobacterial blooms and will facilitate forecasting of short-term blooms for protecting drinking water supplies and managing risk.</p>


2018 ◽  
Vol 19 (4) ◽  
pp. 1253-1263 ◽  
Author(s):  
Siying Chen ◽  
Bingzhi Dong ◽  
Kuo Gao ◽  
Tian Li

Abstract The removal efficiencies of geosmin/2-MIB by conventional treatment (flocculation, sedimentation and sand filtration) combined with advanced treatment (ozonation and granular activated carbon (GAC) filtration) in a pilot-scale experiment were investigated in a comprehensive manner. The objective of this study is to provide useful information for practical applications to solve the taste and odor problem during algal blooms in Lake Taihu. Results showed that the conventional treatment removed 38–59% and 36–64% of 2-MIB and geosmin, respectively, with ozone dosage from 0 to 1.0 mg/L. In particular, the increase in ozone concentration promoted the removal of 2-MIB/geosmin by sand filtration, meanwhile lowering the odorant removal efficiency by GAC filtration, with the key reason being the higher biomass produced in the sand filter through the strengthening effect of the ozonation. The organics with higher molecular weight (MW) showed the most significant decline in the pre-ozonation process with 1.0 mg/L ozone dosage, resulting in an enhanced removal efficiency of 2-MIB/geosmin by pre-ozonation. With ozone dosage of 1.0 mg/L, geosmin and 2-MIB in the treated water were 0.1 and 3.85 ng/L, respectively, which were below their odor threshold concentrations (OTCs) with the preliminary concentration of ∼200 ng/L of 2-MIB/geosmin.


2021 ◽  
Vol 13 (4) ◽  
pp. 800
Author(s):  
Yuchao Zhang ◽  
Steven Loiselle ◽  
Kun Shi ◽  
Tao Han ◽  
Min Zhang ◽  
...  

Wind-speed decline is an important impact of climate change on the eastern Asian atmospheric circulation. Although wind does not determine algae biomass in eutrophic lakes, it is a decisive factor in the formation and severity of algae blooms. Based on 2000–2018 MODIS images, this study compared the effects of wind speed on algal blooms in three typical eutrophic lakes in China: Lake Taihu, Lake Chaohu and Lake Dianchi. The results indicate that climate change has different effects on the wind speed of the three lakes, but a common effect on the vertical distribution of algae. A wind speed of 3.0 m/s was identified as the critical threshold in the vertical distribution of chlorophyll-a concentrations in the three study lakes. The basic characteristics of the periodic variation of wind speed were different, but there was a significant negative correlation between wind speed and floating algal bloom area in all three lakes. In addition, considering lake bathymetry, wind direction could be used to identify locations that were particularly susceptible to algae blooms. We estimated that algal bloom conditions will worsen in the coming decades due to the continuous decline of wind, especially in Lake Taihu, even though the provincial and national governments have made major efforts to reduce eutrophication drivers and restore lake conditions. These results suggest that early warning systems should include a wind-speed threshold of 3.0 m/s to improve control and mitigation of algal blooms on these intensively utilized lakes.


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