The phytoplankton functional group concept provides a reliable basis forecological status estimation in the Çaygören Reservoir (Turkey)

Çelik, Kemal; Sevi̇ndi̇k, Tuğba Ongun

doi:10.3906/bot-1402-69

Cited by 13 publications

(9 citation statements)

References 37 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: 69%

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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: 69%

“…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%

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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“…Elser & Urabe (1999) noted that increased biomass of D. galeata when nitrogen concentrations increased in Lake Biwa, Japan. The phytoplankton of the Çaygören Reservoir is dominated by the nitrogen fixing Cyanobacteria during warm seasons (Çelik & Sevindik, 2015).…”

Section: Discussionmentioning

confidence: 99%

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Çelik¹,

Sevi̇ndi̇k²

2019

Turk. J. Fish. Aquat. Sci.

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Seasonal dynamics in the zooplankton community and its relationships with certain physicochemical parameters (water temperature, Secchi disk transparency, conductivity, nitrate-nitrogen (NO3-N), phosphate (PO4), pH, oxidation-reduction potential (ORP) and chlorophyll-a) were studied in the eutrophic Çaygören Reservoir, Turkey from February 2007 to March 2008. Cyclops vicinus was dominant throughout the year; Acanthocyclops robustus was dominant in fall and summer; Asplanchna priodonta was dominant in fall, winter and spring at all stations. Canonical correspondence analysis (CCA) showed that A. robustus had high correlations to conductivity, C. vicinus to PO4 and NO3-N and Metacyclops gracilis to water temperature and chl-a. The number of individual were significantly different among the seasons and stations (P<0.05). The number of species were significantly different among the seasons (P<0.05), but not among the stations (P>0.05). Zooplankton community in the Çaygören Reservoir underwent changes in species composition from small-bodied

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“…For instance, phytoplankton functional groups estimated reliable water quality states between hypertrophic and oligotrophic conditions in a reservoir of Turkey (Çelik and Sevindik, 2015), indicated eutrophication due to human impacts along the river Loire in France (Abonyi et al, 2012), and allowed an ecological assessment of French Atlantic lakes (Cellamare et al, 2012).…”

Section: Reaction Of Phytoplankton Functional Groups To Ecological Stmentioning

confidence: 99%

Responses of phytoplankton functional groups to environmental factors in the Maixi River, southwest China

Huang

Wang

et al. 2017

J Limnol

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The functional groups approach is an efficient way to analyze seasonal changes in phytoplankton biomass as it is based on the physiological, morphological, and ecological attributes of the species. In this study, we identified the functional groups and driving factors behind short-term succession in phytoplankton communities. We analyzed physical, chemical, and biological factors of the Maixi River in Baihua Reservoir (BHR) from August to September, 2013 (summer, phase I) and March to May, 2014 (late spring and early summer, phase II). The 226 samples collected were divided into 23 functional groups. In phase I, phytoplankton biomass ranged from 4.88 to 30.59 mg·L -1, and the group S1 (Pseudanabaena limnetica) had the greatest biomass. In phase II, phytoplankton biomass ranged from 2.22 to 50.61 mg·L -1 , and groups Y (Cryptomonas sp.) and S1 (P. limnetica) had the greatest biomass. Dominant functional groups in the Maixi River changed from S1 + D + Y + Lo in phase I to Y + S1 in summer. Changes in the phytoplankton community varied between 0 and 0.144 day -1 in phase I and between 0.008 and 0.389 day -1 in later spring and early summer. This showed a steady-state phytoplankton community during the two phases, in which the functional groups S1 (P. limnetica) and Y (Cryptomonas sp.) were dominant. Pseudanabaena limnetica, Synedra sp., Peridinium sp., and Cryptomonas sp. were dominant during summer, contributing to 70% of the total biomass in the steady-state community, and P. limnetica, Synedra sp., Cryptomonas sp., and Chlamydomonas sp. were dominant during later spring and early summer, contributing to 60% of the total biomass in the community. Groups S1, D, and Y formed easily in the Maixi River, but P. limnetica was the dominant species in the eutrophic conditions of the Maixi River. According to biotic and abiotic factors, we concluded that the Maixi River is hypertrophic, and water resource management should take blooms of P. limnetica occurring in May into account. Temperature and dissolved oxygen were the critical factors affecting the steady-state of the phytoplankton community in late spring and early summer and summer, respectively. Because the Maixi River is an important source in the BHR, its phytoplankton functional groups directly affect the ecological balance of the water environment.

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The phytoplankton functional group concept provides a reliable basis forecological status estimation in the Çaygören Reservoir (Turkey)

Abstract: Padisak et al. (2009) modified the original functional classification system by reviewing numerous studies dealing with the FG concept and described typical misplacements by authors. It then was applied in numerous studies (

Cited by 13 publications

References 37 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

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Responses of phytoplankton functional groups to environmental factors in the Maixi River, southwest China

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