Dynamics of phytoplankton communities in the Jiangdong Reservoir of Jiulong River, Fujian, South China

Yongqian, Tian

doi:10.1007/s00343-014-3158-7

Cited by 23 publications

(8 citation statements)

References 40 publications

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“…Medeiros et al [53] also found that group Y favoured waters with high inorganic turbidity during a drought period in a semi-arid region. The current results are in line with studies [8,18,24,54] that were conducted in Chinese lakes and reservoirs. It seems that group Y dominance can account for drought seasons, low light and high turbidity in the reservoir.…”

Section: Response Of Phytoplankton Communities and Functional Groups supporting

confidence: 91%

Driving Factors and Dynamics of Phytoplankton Community and Functional Groups in an Estuary Reservoir in the Yangtze River, China

Yang

Nan

2019

Water

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Qingcaosha Reservoir, an estuary reservoir on the Yangtze River and a drinking water source, is facing phytoplankton blooms and the factors driving changes in phytoplankton composition and distribution have not been well understood so far. To facilitate the understanding of this problem, we collected surface water samples from January to December 2014 monthly at 12 sampling sites. A total of 205 taxa classified into eight major taxonomic groups were identified. Cyclotella meneghiniana, Melosira varians, Melosira granulata, Cryptomonas ovata and Chlorella vulgaris were the species dominating at least one season. The long stratification period and high nutrient concentration resulted in high chlorophyll a concentration (36.1 ± 18.5 μg L−1) in the midstream and downstream during summer, and mass phytoplankton growth and sedimentation process led to nutrients decrease. In the reservoir, neither P or N limitation was observed in the study period. We observed that water temperature, nutrient concentrations and light availability (Zeu/Zmix) are critical in selecting functional groups. These results highlight that the functional groups characterized the water body well and showed a good ecological status based on the assemblage index (Q average = 4.0). This work also highlights that mixing regime, water temperature and light availability were the driving factors that determine phytoplankton dynamics.

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Section: Response Of Phytoplankton Communities and Functional Groups supporting

confidence: 91%

Driving Factors and Dynamics of Phytoplankton Community and Functional Groups in an Estuary Reservoir in the Yangtze River, China

Yang

Nan

2019

Water

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“…Alternatively, seasonal changes in phytoplankton biomass could have partly contributed to the seasonal variability of SRP due to phytoplankton assimilation. Higher phytoplankton biomass was observed in summer and autumn compared to winter and spring [44,45]. Additionally, the excess fertilizer from agricultural land also increased SRP concentrations [35], which was consistent with the higher average value of SRP in the two tributaries during spring and the lower overall SRP concentrations in the NS than in the WS since the application of P fertilizers in the upper reaches of the WS (34,854 kg) exceeded that in the NS during 2014 (derived from the Yearbook of Zhangzhou and Longyan).…”

Section: Seasonal Variations In Nutrients During the Non-rainfall Periodmentioning

confidence: 99%

“…Thus, the high coverage areas of paddy fields (middle-season rice and late rice) in autumn likely led to the higher DSi concentrations. Note that the high DSi uptake by phytoplankton in autumn was offset by the supplementation of DSi from soil erosion [44,45]. Overall, the variability of DSi concentrations in both streams was largely influenced by dilution from river discharge and land use/coverage changes.…”

Section: Seasonal Variations In Nutrients During the Non-rainfall Periodmentioning

confidence: 99%

Differential Response of Nutrients to Seasonal Hydrological Changes and a Rain Event in a Subtropical Watershed, Southeast China

Guo

Yan

Bao

et al. 2022

Water

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A large amount of terrestrial nutrients are discharged into the ocean through rivers. However, the impact of seasonal hydrological variations on riverine nutrient concentrations and fluxes remains unclear, especially in the medium-sized subtropical rivers that are highly influenced by human activities. In this study, we investigated the monthly changes in nutrient concentrations (soluble reactive phosphorus, SRP; dissolved silicate, DSi; and dissolved inorganic nitrogen, DIN) in the North Stream (NS) and West Stream (WS) of the Jiulong River (JLR). The results show that the concentrations of SRP and DSi in the NS and the WS displayed a similar seasonal variability, which was different from the pattern of DIN. Hydrological conditions, chemical fertilizer loss and biogeochemical processes are responsible for the seasonal changes in the nutrients in the two streams, especially during extreme rain events. Nutrient concentrations in the NS exhibited a clockwise trajectory along with river discharge during rain events, while a reverse pattern in the WS was observed since it experienced a moderately long rain event. Different rainfall features between the two main tributaries resulted in the majority of nutrients being exported at the start of the rain event in the NS and the end of rain event in the WS. Indeed, the annual high flow (Q/Qm > 3) accounts for ~17.3% of the annual nutrient flux in the JLR even though this period spans only ~4.0% of a year, which suggests the importance of rain events on nutrient export in these subtropical rivers. Although the annual fluxes of DIN and SRP in the JLR were smaller than many rivers worldwide, higher areal yields of DIN and SRP were observed, indicating that the JLR is highly influenced by human activities. Our study systematically evaluated the response of nutrient concentrations to hydrological changes in two tributaries of the JLR, which is useful in better understanding the nutrient dynamics in medium-sized subtropical rivers.

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“…Redrawn and modified from Margalef (1958) and Reynolds (1997Reynolds ( , 2005, appeared first in Abonyi 2015Table 1 Habitat templates and the Functional Group (FG) classification of characteristic river phytoplankton taxa sensu Reynolds (see, Reynolds et al, 2002;Borics et al, 2007;Padisák et al, 2009) Codon The characteristic occurrence of FGs is summarised based on Devercelli et al (2006Devercelli et al ( , 2010, Borics et al (2007), Soares et al (2007); Padisák et al (2009), Abonyi et al (2012Abonyi et al ( , 2018a; Kruk et al (2017), Wang et al (2018); and Frau et al (2019) The FG system also helped recognise how phytoplankton of floodplain lakes could shape the composition of river phytoplankton in the main channel (Townsend, 2006;Devercelli & O'Farrell, 2013). In the case of channel-reservoirs, structural alterations of phytoplankton assemblages could also be described and explained well by FGs (Nogueira et al, 2010;Bovo-Scomparin et al, 2013;Zhu et al, 2013;Tian, et al, 2014). Temporal shifts in the dominance of FGs could help highlight constraints that affect phytoplankton assemblages of reservoirs (Li et al, 2011;Wang et al, 2011;Yang et al, 2011;Moura et al, 2013).…”

Section: From Taxonomic Towards the Functional Classification Of Rivementioning

confidence: 99%

From historical backgrounds towards the functional classification of river phytoplankton sensu Colin S. Reynolds: what future merits the approach may hold?

et al. 2020

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River phytoplankton has been studied to understand its occurrence and composition since the end of the nineteenth century. Later, pioneers addressed mechanisms that affected river phytoplankton by “origin of plankton”, “turbulent mixing”, “flow heterogeneity”, “paradox of potamoplankton maintenance” and “dead zones” as keywords along the twentieth century. A major shift came with the recognition that characteristic units in phytoplankton compositions could be linked to specific set of environmental conditions, known as the “Phytoplankton Functional Group concept” sensu Reynolds. The FG concept could successfully be applied to river phytoplankton due to its close resemblance to shallow lakes phytoplankton. The FG approach enables one to separate the effects of “natural constraints” and “human impacts” on river phytoplankton and to evaluate the ecological status of rivers. The FG classification has mainly been advocated in the context of how the environment shaped the functional composition of phytoplankton. It may be further developed in the future by a trait-based mechanistic classification of taxa into FGs, and by the exact quantification of FGs on ecosystem functioning. These improvements will help quantify how global warming and human impacts affect river phytoplankton and corresponding alterations in ecosystem functioning.

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Dynamics of phytoplankton communities in the Jiangdong Reservoir of Jiulong River, Fujian, South China

Cited by 23 publications

References 40 publications

Driving Factors and Dynamics of Phytoplankton Community and Functional Groups in an Estuary Reservoir in the Yangtze River, China

Driving Factors and Dynamics of Phytoplankton Community and Functional Groups in an Estuary Reservoir in the Yangtze River, China

Differential Response of Nutrients to Seasonal Hydrological Changes and a Rain Event in a Subtropical Watershed, Southeast China

From historical backgrounds towards the functional classification of river phytoplankton sensu Colin S. Reynolds: what future merits the approach may hold?

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