Phytoplankton functional and morphological groups as indicators of environmental variability in a lateral channel of the Upper Paraná River floodplain

Bortolini, Jascieli Carla; Rodrigues, Luzia Cleide; Jati, Susicley; Train, Sueli

doi:10.1590/s2179-975x2014000100011

Cited by 28 publications

(21 citation statements)

References 25 publications

(47 reference statements)

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“…Several studies have evaluated the deficiencies and the benefits of the functional group approach comparing, among others, MFG and MBFG in different types of freshwater ecosystems (Litchman et al, 2010;Izaguirre et al, 2012;Abonyi et al, 2014;Bortolini et al, 2014;Salmaso et al, 2015;Rodríguez-Flores, 2017). Some authors have stated that whereas the MFG approach can explain phytoplankton dynamics in relation to environmental variables (regional and temporal scales), the MBFG can better explain large-scale variations (Salmaso et al, 2015 and cites therein).…”

Section: Discussionmentioning

confidence: 99%

Phytoplankton functional group classifications as a tool for biomonitoring shallow lakes: a case study

Allende

Fontanarrosa

Murno

et al. 2019

Knowl. Manag. Aquat. Ecosyst.

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We assessed changes in phytoplankton community structure in relation to environmental variables in an urban eutrophic shallow lake (Lake Lugano, Argentina) throughout one year following two classification systems according to the morpho-functional groups (MFG) approach and morphologically based functional groups (MBFG). We aimed to compare the different approaches and find a simple tool to biomonitor urban freshwaters regarding their phytoplankton structure. Values of transparency, nutrients and chlorophyll a concentrations confirmed the eutrophic/hypertrophic conditions of the lake. The potentially toxic Cyanobacteria Planktothrix agardhii representing MFG 5a and MBFG III was generally dominant and reached bloom densities (>62,000 ind ml−1). The multivariate analyses performed showed similar and overlapping results considering both approaches. Nutrients and transparency were the main environmental variables explaining the variance encountered. We conclude that MBFG classification was an adequate, easy-to-handle method for monitoring Lake Lugano. The functional approaches applied enabled the follow-up of potentially toxic Cyanobacteria in Lake Lugano. Further studies should include the estimation of cyanobacteria-derived toxin concentrations in water. We consider that the applicability of the MBFG approach deserves to be further explored as a promising tool for biomonitoring different types of urban water bodies.

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Section: Discussionmentioning

confidence: 99%

Phytoplankton functional group classifications as a tool for biomonitoring shallow lakes: a case study

Allende

Fontanarrosa

Murno

et al. 2019

Knowl. Manag. Aquat. Ecosyst.

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“…the Coqueiro lake, the variability in phytoplankton composition and biomass was mainly related to seasonal changes in the water level, with greatest biomass and highest species richness at the low water period and lowest at the high water period, after establishing connectivity with the main river and raised water in the lake. The inverse relationship between phytoplanktonic biomass and water level elevation has been widely documented for floodplain lakes of the Paraná (Bortolini et al 2014), Amazon (Lobo et al 2018), Paraguay (Oliveira & Calheiros 2000) and temperate regions (Kasten 2003, Schemel et al 2004.…”

Section: Discussionmentioning

confidence: 98%

Phytoplankton Functional Groups Driven by Alternative States in a Tropical Floodplain Lake (Pantanal, Brazil)

Loverde-Oliveira

Huszar

2019

Oecol. Aust.

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The flood pulse associated with local factors is the main drivers of the phytoplankton functional groups. The aim of this study was to evaluate the dynamics of the phytoplankton community and the Reynolds Functional Groups (RFG) and their relationships with the alternative states in a Pantanal floodplain lake. The Coqueiro Lake (municipality of Poconé, state of Mato Grosso, Brazil) was sampled monthly at three sites from April 2002 to May 2003. Three periods were identified: i) period I (first receding) with colonization of Egeria najas (Alismatales, Hydrocharitaceae), reduced depths and clear waters, characterized by the lowest species richness (mean = 23 taxa/sample) and reduced phytoplankton biomass (mean = 1.0 mg L-1); ii) periods II (low waters and rising) without Egeria najas, with lowest influence from the river, lowest depths, turbid waters, highest phytoplankton biomass (mean = 9.8 mg L-1) and species richness (mean = 29 taxa/sample); iii) periods III (high waters and beginning of the second receding) with Egeria najas and high influence from the river, greater depths, clear waters, with intermediate species richness (mean = 26 taxa/sample) and lowest phytoplankton biomass (mean = 0.7 mg L-1). Phytoplankton was composed mainly of nanoplanktonic algae with greatest contributions in the low waters without Egeria najas and was represented by 16 RFG, with reduced variability between the three periods and sites. The functional groups K, P, F, J, H1 and H2 were important in this shallow flood lake governed by natural mechanisms of alternation of clear water regime with reduced phytoplankton biomass to a new state of turbid water dominated by phytoplankton. The variations in the phytoplankton functional groups were related to the physical and chemical regime of the lake and the hydrodynamics of the flood system, which acts as a continuous renewal of the habitat conditions in the different alternative states the lake.

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“…In fact, the FGs indicators of the trophic state that we registered were organisms mostly associated with lentic conditions. Moreover, lakes present large water-retention time that favors the establishment and development of phytoplankters and could explain why more FGs were related to lakes than to rivers (Margalef, 1978;Bortolini et al, 2014;Török et al, 2016;Moresco et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…Phytoplankton FGs are sensitivity to environmental variation, hence efficient to predict environmental conditions Nabout et al, 2006;Becker et al, 2009;Bovo-Scomparin et al, 2013;Crossetti et al, 2013;Bortolini et al, 2014). This study aimed to verify the efficacy of phytoplankton FGs as indicators of environmental conditions in floodplain and the effects of the connectivity of the environments to the main river on phytoplankton variation.…”

Section: Introductionmentioning

confidence: 98%

Phytoplankton functional groups indicators of environmental conditions in floodplain rivers and lakes of the Paraná Basin

et al. 2017

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Aim: The objective of this study was to evaluate the efficacy of phytoplankton functional groups as indicators of environmental conditions in floodplain rivers and lakes with different trophic state and connectivity degree to the Paraná River. Phytoplankton functional groups (FGs) cluster sensitive species to environmental variation and can be an alternative for environmental monitoring. Methods: Samples were performed quarterly from 2010 to 2013 in the Ivinhema, Paraná and Baia Rivers and in three lakes permanently connected to each river. Results: 419 taxa were identified, and those taxa that had values greater than 5% of the total biovolume were classified into FGs (P, C, A, B, MP, H1, W1, J, TD, L O , and N). The lakes presented higher biovolume and were more productive than rivers, especially in the dry periods. The rivers presented light limitation and low phytoplankton development. The FG L O was an indicator in rainy seasons. Both rivers and lakes were mostly oligotrophic. We registered FG indicators only for the lakes (A, B, C, E, L O , P, and W1) and mesotrophic environments (A, B, C, E, J, L O , and P). Conclusion: The FGs reflected the seasonal variation and the trophic state of environments in the upper Paraná River floodplain, mainly in the lentic environments. The species-environment relationship (FGs as indicators) was clearer in the lakes, probably because of the longer water retention that allows evidencing the response of the phytoplankton community to environmental factors. On the other hand, the absence of FGs as indicators in the rivers could be due to the high water flow that promotes dispersal stochasticity and masks the relationship between the environmental factors and the phytoplankton community. Thus, phytoplankton FGs proved to be a viable tool to evaluate the environmental conditions in a floodplain.

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Phytoplankton functional and morphological groups as indicators of environmental variability in a lateral channel of the Upper Paraná River floodplain

Cited by 28 publications

References 25 publications

Phytoplankton functional group classifications as a tool for biomonitoring shallow lakes: a case study

Phytoplankton functional group classifications as a tool for biomonitoring shallow lakes: a case study

Phytoplankton Functional Groups Driven by Alternative States in a Tropical Floodplain Lake (Pantanal, Brazil)

Phytoplankton functional groups indicators of environmental conditions in floodplain rivers and lakes of the Paraná Basin

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