Responses of phytoplankton functional groups to the mixing regime in a deep subtropical reservoir

Becker, Vanessa; Huszar, Vera L. M.; Crossetti, Luciane Oliveira

doi:10.1007/s10750-009-9751-7

Cited by 126 publications

(76 citation statements)

References 47 publications

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“…Besides, pH may be an indicative of different forms of carbon availability which might also influence phytoplankton structure (see Shapiro, 1973). Regarding turbidity, it affects light availability, influencing phytoplankton biomass and structure (Becker et al, 2009). Turbidity (and by in Lake Mangueira and several studies in other aquatic ecosystems (e.g.…”

Section: Resultsmentioning

confidence: 99%

The influence of environmental variables on spatial and temporal phytoplankton dissimilarity in a large shallow subtropical lake (Lake Mangueira, southern Brazil)

et al. 2014

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Aim:The uneven distribution of organisms in aquatic ecosystems is generally attributed to environmental heterogeneity in both space and time, reflecting the occurrence of appropriate environmental conditions and the availability of resources to biological communities. The aim of this study was to understand how the dissimilarity of the phytoplankton community in a large subtropical shallow lake is related to environmental dissimilarities. Methods: Biotic and environmental data were gathered at 19 sites along the 90-km length of Lake Mangueira. Sampling was carried out quarterly during 2010 and 2011, totaling 152 sampling units. The relationship between phytoplankton dissimilarity and the dissimilarity of environmental variables was assessed by the BioEnv analysis. Major results: There is a significant relationship between phytoplankton dissimilarity and environmental dissimilarity. The model that best explained the dissimilarity of phytoplankton among the sampling units included pH, turbidity and nitrate. Conclusions: The dissimilarity of phytoplankton was related to the dissimilarity, which were directly associated to the variability of conditions and resources in space and time in Lake Mangueira.

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Section: Resultsmentioning

confidence: 99%

The influence of environmental variables on spatial and temporal phytoplankton dissimilarity in a large shallow subtropical lake (Lake Mangueira, southern Brazil)

et al. 2014

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“…Aquat Ecol (2011) 45:197-212 207 The second axis of the RDA separated the samples in the stratification and mixing periods which had distinct mixing regime, while in the transition period, high variations in phytoplankton and environmental factors indicated the seasonal characteristics as well as the effects of mixing regime. The study in Faxinal Reservoir (Brazil) revealed that the mixing regime was the main determining factor of the seasonal dynamics of the phytoplankton community (Becker et al 2009). In Xiangxi Bay of the TGR, temporal dynamics of phytoplankton functional groups were influenced by the mixing regime as well as the environmental variables under its effect.…”

Section: Discussionmentioning

confidence: 99%

“…Reynolds (1997) defined several phytoplankton functional groups that potentially, and alternately, may dominate or co-dominate in a given environment, based on Grime's (1979) seminal work on terrestrial vegetation and using physiological, morphological and ecological attributes of the phytoplankton species Kruk et al 2002). Nowadays, the phytoplankton functional groups approach uses 38 assemblages according to their sensitivities and tolerances, identified by alpha-numeric codes (Padisák et al 2009) and have been triumphantly applied in estuary, lake and reservoir ecosystems (Costa et al 2009;Mieleitner et al 2008;Becker et al 2009;Crossetti and Bicudo 2008).…”

Section: Introductionmentioning

confidence: 99%

Weekly dynamics of phytoplankton functional groups under high water level fluctuations in a subtropical reservoir-bay

Wang

Cai

et al. 2010

Aquat Ecol

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In reservoirs, water level fluctuations strongly influence phytoplankton development. However, studies on the response of phytoplankton in the reservoir-bay to water level fluctuations are very scarce, especially in the highly dynamic reservoir system, for instance, the Three Gorges Reservoir (TGR) on the Yangtze River in China. Therefore, we carried out weekly monitoring in a typical tributary bay-Xiangxi Bay of the TGR from March 2008 to March 2009 analyze the dynamics of phytoplankton functional groups, as well as their response to the water level fluctuations and other environmental conditions. The phytoplankton functional groups G (short, nutrient-rich water columns with high light and without nutrient deficiency), M (dielly mixed layers of small eutrophic, low latitude with high insolation and without flushing and low total light) and Lo (summer epilimnia in mesotrophic lakes with segregated nutrients and without prolonged or deep mixing) were the most important in biomass, mainly represented by Pandorina morum and Eudorina elegans, Microcystis aeruginosa, Peridiniopsis niei and Ceratium hirundinella, respectively. The dominant functional groups had close relationships with the water level fluctuations, light and nutrient, etc. Principal components analysis and redundancy analysis indicated that phytoplankton functional groups in Xiangxi Bay were restricted by the mixing regime and other abiotic variables under the influences of the mixing regime. In Xiangxi Bay, the water level fluctuation showed significant correlations with many physicochemical variables, including the mixing depth (r = 0.97, p \ 0.001) and the relative water column stability (r = -0.80, p \ 0.001). The study implied that water level fluctuations had complex influence on environmental changes and selecting for phytoplankton functional groups in a highly dynamic reservoir-bay. The important characteristics of the dominant phytoplankton functional groups in Xiangxi Bay were also discussed.

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“…Depending on the spatial and temporal extension, water level fluctuations can influence the dynamic and structure of the phytoplankton [12][13][14], zooplankton [15] and zoobenthos communities [16][17][18][19]. In the littoral zone, water level fluctuations play a major role with regard to the occurrence and distribution of water vegetation and fishes [20][21][22][23][24][25][26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Temporal variation in juvenile fish communities of Kaunas reservoir littoral zone, Lithuania

2012

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The aim of this study was to assess juvenile fish communities in terms of species composition, fish diversity and density in the littoral zone of the Kaunas reservoir before (in 1989–1990, period I) and after (in 1999–2000, period II, and in 2006–2007, period III) launching the Kruonis hydroelectric pumped plant (Kruonis HPP). During the whole research period, 20 fish species were caught. According to the frequency of occurrence, the three-spined stickleback Gasterosteus aculeatus, European perch Perca fluviatilis and roach Rutilus rutilus were regarded as constant species in all investigated periods. Significant differences were established in juvenile fish community density between period I and periods II and III, whereas species richness (S) and species diversity indices (H′, J′) did not change significantly. The density of the shoreline community in period III was more than two times lower than in period I, probably due to higher fluctuations in water level of the reservoir, resulting from the Kruonis HPP operation.

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Responses of phytoplankton functional groups to the mixing regime in a deep subtropical reservoir

Cited by 126 publications

References 47 publications

The influence of environmental variables on spatial and temporal phytoplankton dissimilarity in a large shallow subtropical lake (Lake Mangueira, southern Brazil)

The influence of environmental variables on spatial and temporal phytoplankton dissimilarity in a large shallow subtropical lake (Lake Mangueira, southern Brazil)

Weekly dynamics of phytoplankton functional groups under high water level fluctuations in a subtropical reservoir-bay

Temporal variation in juvenile fish communities of Kaunas reservoir littoral zone, Lithuania

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