Analysis of environmental drivers influencing interspecific variations and associations among bloom-forming cyanobacteria in large, shallow eutrophic lakes

Shan, Kun; Song, Lirong; Chen, Wei; Lin, Li; Liu, Liming; Wu, Yanlong; Jia, Yunlu; Zhou, Qihai; Peng, Liang

doi:10.1016/j.hal.2019.02.002

Cited by 113 publications

(52 citation statements)

References 62 publications

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“…Except for heavy rain, snow melting, and other sudden water pollution and ecological events, the daily changes in water quality are not significant. Besides, water quality data from different monitoring spots may be different and not representative of the entire lake [24,59,60]. But the local meteorological elements are uniform in Lake Dianchi.…”

Section: Daily Influencing Factors Of Algal Bloomsmentioning

confidence: 99%

MODIS-Satellite-Based Analysis of Long-Term Temporal-Spatial Dynamics and Drivers of Algal Blooms in a Plateau Lake Dianchi, China

Jing

Zhang

et al. 2019

Remote Sensing

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Algal blooms in eutrophic lakes have been a global issue to environmental ecology. Although great progress on prevention and control of algae have been made in many lakes, systematic research on long-term temporal-spatial dynamics and drivers of algal blooms in a plateau Lake Dianchi is so far insufficient. Therefore, the algae pixel-growing algorithm (APA) was used to accurately identify algal bloom areas at the sub-pixel level on the Moderate Resolution Imaging Spectroradiometer (MODIS) data from 2000 to 2018. The results showed that algal blooms were observed all year round, with a reduced frequency in winter–spring and an increased frequency in summer–autumn, which lasted a long time for about 310–350 days. The outbreak areas were concentrated in 20–80 km2 and the top three largest areas were observed in 2002, 2008, and 2017, reaching 168.80 km2, 126.51 km2, and 156.34 km2, respectively. After deriving the temporal-spatial distribution of algal blooms, principal component analysis (PCA) and redundancy analysis (RDA) were applied to explore the effects of meteorological, water quality and human activities. Of the variables analyzed, mean temperature (Tmean) and wind speed (WS) were the main drivers of daily algal bloom areas and spatial distribution. The precipitation (P), pH, and water temperature (WT) had a strong positive correlation, while WS and sunshine hours (SH) had a negative correlation with monthly maximum algal bloom areas and frequency. Total nitrogen (TN) and dissolved oxygen (DO) were the main influencing factors of annual frequency, initiation, and duration of algal blooms. Also, the discharge of wastewater and the southwest and southeast monsoons may contribute to the distribution of algal blooms mainly in the north of the lake. However, different regions of the lake show substantial variations, so further zoning and quantitative joint studies of influencing factors are required to more accurately understand the true mechanisms of algae in Lake Dianchi.

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Section: Daily Influencing Factors Of Algal Bloomsmentioning

confidence: 99%

MODIS-Satellite-Based Analysis of Long-Term Temporal-Spatial Dynamics and Drivers of Algal Blooms in a Plateau Lake Dianchi, China

Jing

Zhang

et al. 2019

Remote Sensing

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“…A previous study also found that biological interactions probably contribute to a large proportion of the inter-annual variability of cyanobacterial bloom [ 23 ]. Therefore, the cyanobacterial community structure is influenced by both biological interactions and environmental factors [ 22 ].…”

Section: Discussionmentioning

confidence: 99%

“…For example, Raphidiopsis has already invaded temperate lakes and become predominant in some of them [ 19 , 20 ]. In addition to temperature, other factors such as nutrient salts, carbon dioxide, and light intensity also contribute to the competition and succession of bloom-forming cyanobacteria [ 15 , 18 , 21 , 22 , 23 ]. However, these studies are mainly based on the morphological identification of cyanobacterial species.…”

Section: Introductionmentioning

confidence: 99%

Revealing Cryptic Changes of Cyanobacterial Community Structure in Two Eutrophic Lakes Using eDNA Sequencing

Jiang

Xiao

et al. 2020

IJERPH

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Harmful cyanobacterial blooms pose a risk to human health worldwide. To enhance understanding on the bloom-forming mechanism, the spatiotemporal changes in cyanobacterial diversity and composition in two eutrophic lakes (Erhai Lake and Lushui Reservoir) of China were investigated from 2010 to 2011 by high-throughput sequencing of environmental DNA. For each sample, 118 to 260 cpcBA-IGS operational taxonomic units (OTUs) were obtained. Fifty-two abundant OTUs were identified, which made up 95.2% of the total sequences and were clustered into nine cyanobacterial groups. Although the cyanobacterial communities of both lakes were mainly dominated by Microcystis, Erhai Lake had a higher cyanobacterial diversity. The abundance of mixed Nostocales species was lower than that of Microcystis, whereas Phormidium and Synechococcus were opportunistically dominant. The correlation between the occurrence frequency and relative abundance of OTUs was poorly fitted by the Sloan neutral model. Deterministic processes such as phosphorus availability were shown to have significant effects on the cyanobacterial community structure in Erhai Lake. In summary, the Microcystis-dominated cyanobacterial community was mainly affected by the deterministic process. Opportunistically dominant species have the potential to replace Microcystis and form blooms in eutrophic lakes, indicating the necessity to monitor these species for drinking water safety.

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“…All explanatory variables and GHG metrics were standardized with the function: (y i − y min )/(y max − y min ). RDA was performed using the R package ''vegan'', and validated by Monte Carlo methods with 999 permutations (Shan et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Greenhouse gas emissions from riparian zone cropland in a tributary bay of the Three Gorges Reservoir, China

Wang

Huang

et al. 2020

PeerJ

Self Cite

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Background.A huge reservoir was formed by the Three Gorges Dam in China, which also formed a riparian zone along the bank of the reservoir. In the period of low waterlevel, the riparian zone in tributary bays of the Three Gorges Reservoir (TGR) was always unordered cultivated, owing to its gentle slope and high soil fertility. This landuse practice creates high potential of generating greenhouse gas (GHG) emissions with periodic water level fluctuation. Methods. To evaluate potential GHG emissions from the soil-air interface, the static opaque chamber method was adopted to evaluate the effect of elevations (180 m, 175 m, 170 m and 165 m) and land use types (dry lands, paddy fields and grass fields) from April to September in 2015 and 2016. Results. The results showed that carbon dioxide (CO 2 ) was the main contributor of GHG emission in riparian zone most likely because of high organic carbon from residues. Furthermore, high soil water content in paddy fields resulted in significantly higher methane (CH 4 ) flux than that in dry lands and grass fields. Compared to grass fields, anthropogenic activities in croplands were attributed with a decrease of soil total carbon and GHG emissions. However, inundation duration of different elevations was found to have no significant effect on CH 4 and CO 2 emissions in the riparian zone, and the mean nitrous oxide (N 2 O) flux from dry lands at an elevation of 165 m was significantly higher than that of other elevations likely because of tillage and manure application. The high N 2 O fluxes produced from tillage and fertilizer suggested that, in order to potentially mitigate GHG emissions from the riparian zone, more attention must be paid to the farming practices in dry lands at low elevations (below 165 m) in the riparian zone. Understanding factors that contribute to GHG emissions will help guide ecological restoration of riparian zones in the TGR. . 2017. Characteristics and influencing factors of CH 4 emissions from the drawdown Area of the Three Gorges reservoir. Environmental Science 38(10):4370-4379 (in Chinese). Chen N, Chen Z, Wu Y, Hu A. 2014. Understanding gaseous nitrogen removal through direct measurement of dissolved N 2 and N 2 O in a subtropical river-reservoir system. Ecological Engineering 70(5):56-67

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Analysis of environmental drivers influencing interspecific variations and associations among bloom-forming cyanobacteria in large, shallow eutrophic lakes

Cited by 113 publications

References 62 publications

MODIS-Satellite-Based Analysis of Long-Term Temporal-Spatial Dynamics and Drivers of Algal Blooms in a Plateau Lake Dianchi, China

MODIS-Satellite-Based Analysis of Long-Term Temporal-Spatial Dynamics and Drivers of Algal Blooms in a Plateau Lake Dianchi, China

Revealing Cryptic Changes of Cyanobacterial Community Structure in Two Eutrophic Lakes Using eDNA Sequencing

Greenhouse gas emissions from riparian zone cropland in a tributary bay of the Three Gorges Reservoir, China

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