Phytoplankton functional groups in a monomictic reservoir: seasonal succession, ecological preferences, and relationships with environmental variables

Varol, Memet

doi:10.1007/s11356-019-05354-0

Cited by 38 publications

(20 citation statements)

References 56 publications

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“…This situation could be considered as a sign of an eutrophication process. The codon T was also reported from Batman dam reservoir (Varol, 2019), Çaygören Reservoir (Çelik and Sevindik, 2015), and Lake Garda (Salmaso, 2002) Codon C (C. atomus and C. meneghiniana), Codon D (U. acus) and Codon P (F. capucina) functional groups are diatoms which were detected in Lake İznik at different periods. Di Maggio et al (2016) reported three annual peaks for diatoms: the codon P is in summer, the codon C is in early winter, and the codon D is between late winter and early spring.…”

Section: Pfgs and Their Ecological Preferencesmentioning

confidence: 68%

“…Functional groups such as H 1 , P, R, and T reached high biomass in 2013, while the distribution of these groups was found to be more balanced in 2014. The temporal variations, water circulation, light and nutrients availability are the most important variables on the distribution of phytoplankton (Varol, 2019). Even, the genera, which classified in the same group, respond in different ways to these variables.…”

Section: Pfgs and Their Ecological Preferencesmentioning

confidence: 99%

“…Since phytoplankton community structure could be affected by physical, chemical, and biological properties in lakes, the variety and quantity of phytoplankton species could be used for bio-monitoring of aquatic ecosystems (Reynolds et al, 2002). To this respect, many studies on phytoplankton distribution have been conducted in the past for water quality assessment (Albay and Akçaalan, 2003;Padisák et al, 2006;Pasztaleniec and Poniewozik, 2010;Atıcı and Alaş, 2012;Petar et al, 2014;Salmaso et al, 2015;Di Maggio et al 2016;Varol, 2019). Generally, phytoplankton abundance or phytoplankton community structure, including dominant and indicator species, were evaluated in these studies to determine the ecological status of the aquatic ecosystems.…”

Section: Introductionmentioning

confidence: 99%

“…Few studies had also been conducted to use PFGs in determination of the water quality of Turkish reservoirs and lakes in recent years (Soylu and Gönülol, 2010;Çelekli and Öztürk, 2014;Demir et al, 2014;Maraşlıoğlu and Gönülol, 2014;Çelik and Sevindik, 2015;Sevindik et al, 2017;Varol, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Driving factors affecting the phytoplankton functional groups in a deep alkaline lake

Oğuz¹,

Akçaalan²,

Köker³

et al. 2020

Turk J Bot

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This study evaluated the phytoplankton communities based on functional groups to obtain information about the water quality of Lake İznik, Turkey. The phytoplankton consisted of 103 taxa, classified in 12 phytoplankton functional groups (PFGs), with dominancy of 5 species, Chrysosporum ovalisporum, Dolichospermum mendotae, Planktothrix rubescens, Fragilaria capucina, and Mougeotia sp. The Shannon-Wiener diversity index (H') was calculated and results ranged between 0.41 and 2.47. The redundancy analysis (RDA) and Spearman's correlation analysis were used to assess the relationships between the PFGs and environmental variables. According to the multiple comparisons of the data, the main efficient factors that determined the seasonal distribution of the PFGs were TP, DO, SiO 2 , SD, and pH. The ecological requirements of the dominant PFGs (

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Section: Pfgs and Their Ecological Preferencesmentioning

confidence: 68%

Section: Pfgs and Their Ecological Preferencesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Driving factors affecting the phytoplankton functional groups in a deep alkaline lake

Oğuz¹,

Akçaalan²,

Köker³

et al. 2020

Turk J Bot

View full text Add to dashboard Cite

show abstract

“…Recently, Ma et al (2019) used phytoplankton functional groups in the assessment of environmental status of the lake in reveal the importance of physical-chemical variables in the spatial and temporal gradient. Varol (2019) studied trophic state of Batman Dam Reservoir by phytoplankton functional groups habitat preferences and diversity indices.…”

Section: Introductionmentioning

confidence: 99%

Phytoplankton functional groups response to environmental parameters in Muling River basin of northeast China

Sun

Mwagona

Shabani

et al. 2019

Ann. Limnol. - Int. J. Lim.

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The present study was carried out in the biggest tributary of Ussuri River of boundary between China and Russia. The Muling River basin has undergone a long-term dredging works, and waterbody became seriously turbid. The succession of phytoplankton functional groups succession and environmental factors in the river were sampled in 2015. We totally identified 83 species, belonging to 17 functional groups which 5 were predominant, including group F, M, MP, P and Y. The seasonal succession of phytoplankton functional groups was M/P-F/MP/P-MP/P. Results of Spearman correlation analysis and canonical correspondence analysis (CCA) revealed that phytoplankton functional groups were mainly influenced by nutrient concentrations and light availability including total nitrogen (TN), ammonium nitrogen (NH4+–N), nitrate nitrogen (NO3−–N), N:P ratio (N:P), water depth (D) and transparency (SD) in the basin.

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Phytoplankton competition and resilience under fluctuating temperature

Siegel

Baker

Low‐Décarie

et al. 2023

Ecology and Evolution

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Environmental variability is an inherent feature of natural systems which complicates predictions of species interactions. Primarily, the complexity in predicting the response of organisms to environmental fluctuations is in part because species' responses to abiotic factors are non-linear, even in stable conditions. Temperature exerts a major control over phytoplankton growth and physiology, yet the influence of thermal fluctuations on growth and competition dynamics is largely unknown. To investigate the limits of coexistence in variable environments, stable mixed cultures with constant species abundance ratios of the marine diatoms, Phaeodactylum tricornutum and Thalassiosira pseudonana, were exposed to different temperature fluctuation regimes (n = 17) under high and low nitrogen (N) conditions. Here we demonstrate that phytoplankton exhibit substantial resilience to temperature variability. The time required to observe a shift in the species abundance ratio decreased with increasing fluctuations, but coexistence of the two model species under high N conditions was disrupted only when amplitudes of temperature fluctuation were high (±8.2°C). N limitation caused the thermal amplitude for disruption of species coexistence to become lower (±5.9°C). Furthermore, once stable conditions were reinstated, the two species differed in their ability to recover from temperature fluctuations. Our findings suggest that despite the expectation of unequal effect of fluctuations on different competitors, cycles in environmental conditions may reduce the rate of species replacement when amplitudes remain below a certain threshold. Beyond these thresholds, competitive exclusion could, however, be accelerated, suggesting that aquatic heatwaves and N availability status are likely to lead to abrupt and unpredictable restructuring of phytoplankton community composition.

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Phytoplankton functional groups in a monomictic reservoir: seasonal succession, ecological preferences, and relationships with environmental variables

Cited by 38 publications

References 56 publications

Driving factors affecting the phytoplankton functional groups in a deep alkaline lake

Driving factors affecting the phytoplankton functional groups in a deep alkaline lake

Phytoplankton functional groups response to environmental parameters in Muling River basin of northeast China

Phytoplankton competition and resilience under fluctuating temperature

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