Disentangling the drivers of phytoplankton community composition in a heavily sediment-laden transcontinental river

Ding, Yitong; Li, Ming; Pan, Baozhu; Zhao, Gengnan

doi:10.1016/j.jenvman.2021.113939

Cited by 13 publications

(7 citation statements)

References 54 publications

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“…The polyethylene bottles were rinsed two or three times with the supernatant, and the phytoplankton sample volume was then brought to about 50 ml in the sample bottles. Finally, 1–2 mL of 40% formaldehyde was added to samples for long-term preservation ( Ding et al, 2022 ). A 0.1-mL subsample was transferred to the Sedgewick Rafter counting chamber and phytoplankton density was examined under an inverted microscope (Zeiss, Jena, Germany).…”

Section: Methodsmentioning

confidence: 99%

Seasonal variation of phytoplankton community assembly processes in Tibetan Plateau floodplain

Huang

Pan²,

Soininen³

et al. 2023

Front. Microbiol.

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Uncovering the mechanisms underlying phytoplankton community assembly remains a major challenge in freshwater ecology. The roles of environmental filtering and spatial processes in shaping phytoplankton metacommunity in Tibetan floodplain ecosystems under various hydrological conditions are still unclear. Here, multivariate statistics and a null model approach were used to compare the spatiotemporal patterns and assembly processes of phytoplankton communities in the river-oxbow lake system of Tibetan Plateau floodplain between non-flood and flood periods. The results showed that phytoplankton communities had significant seasonal and habitat variations, with the seasonal variations being more remarkable. Phytoplankton density, biomass, and alpha diversity were distinctly lower in the flood than non-flood period. The habitat differences (rivers vs. oxbow lakes) in phytoplankton community were less pronounced during the flood than non-flood period, most likely due to the increased hydrological connectivity. There was a significant distance–decay relationship only in lotic phytoplankton communities, and such relationship was stronger in the non-flood than flood period. Variation partitioning and PER-SIMPER analysis showed that the relative role of environmental filtering and spatial processes affecting phytoplankton assemblages varied across hydrological periods, with environmental filtering dominating in the non-flood period and spatial processes in the flood period. These results suggest that the flow regime plays a key role in balancing environmental and spatial factors in shaping phytoplankton communities. This study contributes to a deeper understanding of ecological phenomena in highland floodplains and provides a theoretical basis for floodplain ecosystem maintenance and ecological health management.

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Section: Methodsmentioning

confidence: 99%

Seasonal variation of phytoplankton community assembly processes in Tibetan Plateau floodplain

Huang

Pan²,

Soininen³

et al. 2023

Front. Microbiol.

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“…The rapid and accurate detection of algae is crucial for assessing water quality and trophic status . Microscopy has long been the standard method for algae detection . However, microscopy is time-consuming and has difficulty distinguishing morphologically similar species .…”

Section: Introductionmentioning

confidence: 99%

Unveiling the Dominant Influence of Reservoir Characteristics over Water Quality on Algal Concentrations Revealed by qPCR Detection

Yin,

Lin,

et al. 2024

ACS EST Water

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This study develops a quantitative polymerase chain reaction (qPCR) method to detect four prevalent algal genera, Pseudanabaena, Cylindrospermopsis, Cryptomonas, and Limnothrixin nine drinking water reservoirs in Zhuhai, China. We examined the correlation between algal abundance and both water quality parameters and reservoir characteristics. Cryptomonas was the most abundant, with average levels at 6.76 ± 2.20 log10 copies/L, while Pseudanabaena showed the lowest at 4.93 ± 2.50 log10 copies/L. Although nutrient substances showed minimal impact, algal abundances exhibited active and substantial responses to reservoir characteristics including reservoir scale, water retention time, water supply source, and hydrological seasons. High algal abundances were significantly associated with large-scale reservoirs, long water retention time, river-fed reservoirs, and wet seasons (p < 0.05). Redundancy analysis indicated that reservoir characteristics account for 51.5% of the variation in algal abundance. This study demonstrates the effectiveness of qPCR in monitoring algal dynamics and highlights the significant role of reservoir characteristics in influencing algal blooms.

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“…are the main drivers of phytoplankton community successional processes (Bowes et al 2012;Song et al 2022), though these parameters could be modified by watershed land use and climate change (Wu et al 2023a). Physical characteristics (e.g., river morphology) and light conditions can also affect spatiotemporal distribution of phytoplankton in large rivers (Thorp and Delong 1994;Ding et al 2022a). High-speed water flows and short residence times influence phytoplankton growth and reproduction (Reynolds 2000).…”

Section: Introductionmentioning

confidence: 99%

Water quality and habitat drive phytoplankton taxonomic and functional group patterns in the Yangtze River

Gao,

Xiong,

et al. 2024

Ecol Process

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Background Although phytoplankton are important primary producers in food webs, they are relatively less studied in large rivers compared to other types of systems. To fill this research gap, we studied phytoplankton taxonomic and functional composition and their relationships with water quality, habitat, climate, and land use across 30 river sections in the middle and lower reaches of the Yangtze River during 2017–2018. Results Major observed phytoplankton groups were cyanobacteria, bacillariophyta, and chlorophyta. Phytoplankton total abundance, total biomass, and species richness significantly decreased in the dry season compared to the wet season, with the species and functional composition differing significantly between seasons. Phytoplankton species differences between seasons were mainly contributed by Oscillatoria sp., Pseudanabaena sp., and Melosira granulata. The dfferences in phytoplankton functional groups between seasons were mainly contributed by P (including Closterium sp., Melosira sp.), Lo (including Merismopedia sp., Peridinium sp., Ceratium sp., and Gymnodinium sp.), and J (including Pediastrum sp., Tetraedron sp., Crucigenia sp., Scenedesmus sp., and Coelastrum sp.). The variance partitioning showed that water quality (NO3-N, total suspended solids, turbidity) and habitat (water flow, river bank and river channel conditions) were critical factors in shaping phytoplankton patterns, followed by climate and land use. Conclusions Results indicated that there was significant seasonal variation of phytoplankton in the Yangtze River, with water quality and habitat primarily driving phytoplankton patterns. Our study contributes to the understanding of natural and anthropogenic factors that drive seasonal successional processes of phytoplankton in the Yangtze River. These findings have important implications for environmental management as well as towards the ecological restoration of large rivers.

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Disentangling the drivers of phytoplankton community composition in a heavily sediment-laden transcontinental river

Cited by 13 publications

References 54 publications

Seasonal variation of phytoplankton community assembly processes in Tibetan Plateau floodplain

Seasonal variation of phytoplankton community assembly processes in Tibetan Plateau floodplain

Unveiling the Dominant Influence of Reservoir Characteristics over Water Quality on Algal Concentrations Revealed by qPCR Detection

Water quality and habitat drive phytoplankton taxonomic and functional group patterns in the Yangtze River

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