Green algae in Lake Tanganyika: is morphological variation a response to seasonal changes?

Stoyneva, Maya P.; Descy, Jean-Pierre; Vyverman, Wim

doi:10.1007/s10750-006-0428-1

Cited by 39 publications

(32 citation statements)

References 41 publications

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“…We also did not find a control of algae by grazers, which is often observed as a structuring factor of phytoplankton communities (SalmaSo & paDiSáK 2007;SToyneVa eT al. 2007).…”

Section: Resultscontrasting

confidence: 60%

Algal communities of Kenyan soda lakes with a special focus on Arthrospira fusiformis

Schagerl

Burian²,

Gruber-Dorninger³

et al. 2015

Fottea

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Soda lakes are simple in biodiversity, but due to their highly stochastic environmental dynamics unexpected shifts in species composition do occur. We studied key drivers for structuring phytoplankton communities and identified variables significantly influencing changes of Arthrospira fusiformis abundance in the Kenyan soda lakes, Nakuru and Bogoria. In both lakes, Arthrospira fusiformis dominated algal biomass, but in Nakuru, crashes of this taxon were recorded. The three variables sodium, pH and dry mass significantly contributed to the phytoplankton taxa pattern. Arthrospira was absent at highest turbidity and salinity levels, being outcompeted by the small, single-celled chlorophyte Picocystis salinarium. Picoplankton was in general connected to higher pH values and tended to occur anti-cyclic to Arthrospira. Overall, the abundance of A. fusiformis was influenced by the boundaries of habitat suitability, light penetration, grazers and cyanophages attacks.

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“…We also did not find a control of algae by grazers, which is often observed as a structuring factor of phytoplankton communities (SalmaSo & paDiSáK 2007;SToyneVa eT al. 2007).…”

Section: Resultscontrasting

confidence: 60%

Algal communities of Kenyan soda lakes with a special focus on Arthrospira fusiformis

Schagerl

Burian²,

Gruber-Dorninger³

et al. 2015

Fottea

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show abstract

“…The role of morphological and physiological plasticity in maintaining phytoplankton populations under different environmental conditions has been thoroughly evaluated in the recent literature (NaselliFlores and Barone, 2003;Naselli-Flores et al, 2007;Stoyneva et al, 2007;Dokulil et al, 2007). According to Naselli-Flores et al (2007), morphological variability is recognizable both at the population and assemblage level.…”

Section: Discussionmentioning

confidence: 99%

Seasonal variation in functional phytoplankton groups in Xiangxi Bay, Three Gorges Reservoir

Yang

et al. 2011

Chin. J. Ocean. Limnol.

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We describe the phytoplankton dynamics and structure in Xiangxi Bay, Three Gorges Reservoir. Samples were collected monthly in the surface waters between August 2007 and July 2008. We identified 10 principle functional groups. C-strategists and S/R-strategists with a wide range of tolerance dominated the phytoplankton assemblage. Seasonal variation was related to water column stability because of changes in hydraulic operation in October, January, and May. Functional group C (Asterionella formosa) and P (Aulacoseria granulata) dominated in August and September, whereas group Lo (Peridiniopsis niei) was the most abundant between February and April, forming a dinoflagellate bloom. Group B (Stephanodiscus hantzschii), X2 (Komma acudata), and Y (Cryptomonas erosa) were present throughout most of the year but were most abundant in late spring. A cyanobacterial bloom occurred from June to July, during which group M (Microcystis aeruginosa, M. wesenbergii) and H 1 (Anabaena flos-aquae) were dominant. Green algae, characterized by group G (Eudorina sp., Pandorina sp., Pyramidomonas sp.) and J (Pediastrum spp., Coelastrum spp., Scenedesums spp.), were abundant after the bloom degraded. This sequence was corroborated by canonical correspondence analysis (CCA). The summary sequence of functional groups resulting from CCA was: C/P → Lo → H1/M/J/G. The dynamics of the phytoplankton community may be explained by the stability of water column, irradiance, water temperature, and nutrient structure.

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“…the Pfitzer and McDonald rule for diatom division [10]; (3) documented differences in cell sizes of the same taxon in different water bodies, or even in the same water body due to different temperature, nutrient content, etc. [11]; (4) documented notable time-scaled differences in cell dimensions due to the presence or absence of the grazing pressure on the phytoplankters. See, for example, [11].…”

Section: Methodsmentioning

confidence: 99%

“…[11]; (4) documented notable time-scaled differences in cell dimensions due to the presence or absence of the grazing pressure on the phytoplankters. See, for example, [11]. Taking into account the reasons provided, it could be stated that the results obtained in this way reflected the real biomass for the concrete moment and site, moreover, all of the phytoplankton samples were analysed and proceeded by one person (M. Stoyneva).…”

Section: Methodsmentioning

confidence: 99%

Comparison of ecological state/potential assessment of 19 Bulgarian water bodies based on macrophytes and phytoplankton (2011–2012)

Stoyneva

Traykov

Tosheva

et al. 2015

Biotechnology & Biotechnological Equipment

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Nowadays, one of the most striking challenges for Bulgarian limnologists comes from the attempts to implement the requirements of Water Framework Directive (WFD) for assessment of the ecological status of the water bodies. This work represents results from the monitoring of the reservoirs Aleksandur Stamboliyski, Antimovo, Batak, Burzina, Gorni Dubnik, Zhrebchevo, Iovkovtsi, Krapets, Mandra, Ognyanovo, Rabisha, Suedinenie, Tsonevo and the lakes Alepu, Atanasovsko Ezero, Dourankoulak, Pomoriysko Ezero, Shabla and Sreburna. The studies were conducted simultaneously in the summer months of 2011 and 2012 on the following parameters: algal taxonomic composition and abundance, presence/absence of algal blooms and blooms of potential toxic species, algal group index, reference index for macrophytes, water temperature, transparency, pH, conductivity, chlorophyll a, total phosphorus, total nitrogen, phosphate phosphorus, ammonium nitrogen, nitrate nitrogen and chemical oxygen demand. The ecological status was registered in the five WFD categories. The set of data, based on the detected species composition of 236 algal taxa and 33 species of macrophytes, allowed us to compare statistically the values of the used parameters and the water bodies according to their biodiversity and abiotic features. The obtained results are important for clarifying the official classification of the surface water bodies of Bulgaria according to State Order N4/14.09.2012 and for making proposals for its improvement. Comparisons of the finally attributed ecological status/potential, based on macrophytes and phytoplankton, showed some significant differences and were used as a basis for discussion of the parameters and their weighted values, used up-to-now for the assessment of Bulgarian water bodies.

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Green algae in Lake Tanganyika: is morphological variation a response to seasonal changes?

Cited by 39 publications

References 41 publications

Algal communities of Kenyan soda lakes with a special focus on Arthrospira fusiformis

Algal communities of Kenyan soda lakes with a special focus on Arthrospira fusiformis

Seasonal variation in functional phytoplankton groups in Xiangxi Bay, Three Gorges Reservoir

Comparison of ecological state/potential assessment of 19 Bulgarian water bodies based on macrophytes and phytoplankton (2011–2012)

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