Taxonomic and functional classifications of phytoplankton in tropical reservoirs with different trophic states

Santana, Lucineide Maria; Nabout, João Carlos; Ferragut, Carla

doi:10.1007/s40415-017-0428-6

Cited by 6 publications

(4 citation statements)

References 30 publications

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“…When analyzing the whole community at the species level, we found that mainly environmental factors drove the phytoplankton variation, as found in other studies (Beisner et al 2006 ; De Bie et al 2012 ; Padial et al 2014 ; Huszar et al 2015 ; Machado et al 2016 ; Santos et al 2016 ; Wojciechowski et al 2017 ; Santana et al 2018 ; Bortolini et al 2020 ). However, we also found that the influence of the environment (and space, as we will discuss below) depended on the functional features of the phytoplankton.…”

Section: Discussionsupporting

confidence: 84%

Effects of space and environment on phytoplankton distribution in subtropical reservoirs depend on functional features of the species

2021

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Section: Discussionsupporting

confidence: 84%

Effects of space and environment on phytoplankton distribution in subtropical reservoirs depend on functional features of the species

2021

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“…With regards to the mesotrophic reservoirs, the Itupararanga presented high cyanobacterial biomass and higher total biomass, mainly due to Mougeotia sp presenting numerous long filaments that increase the relative biomass of this species. Previous studies have associated this species with oligo-mesotrophic environments (Pacheco et al 2010;Santana et al 2018). It should be pointed out that monitoring the phytoplankton community structure, at the taxonomic level, is very sensitive at detecting environmental changes and is representative of the trophic state of the ecosystem, which is not always the case with total biomass.…”

Section: Discussionmentioning

confidence: 98%

Relationship between phytoplankton structure and environmental variables in tropical reservoirs with different trophic states

2020

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Phytoplankton structure is influenced by environmental factors, seasonal cycles and the trophic state of the system. The objective of the present study was to identify guilds of phytoplankton species that are representative of seasonality and trophic status. We evaluated phytoplankton biomass and species composition in five tropical reservoirs, with different trophic states and during rainy and dry periods. At most of the sampling sites, total biomass was higher during the rainy season. Moreover, high cyanobacterial biomass was observed in all reservoirs except for one of the mesotrophic reservoirs, which had no significant contribution from the group. Phytoplankton guilds associated with the trophic gradient and seasonality were identified. Additionally, trophic status was determined to be the most important community structure factor. The results emphasize the importance of taxonomic identification when monitoring phytoplankton structure and autoecology. Furthermore, these aquatic organisms are highly sensitive to environmental variations, making them useful tools for evaluating and/or monitoring the ecological condition of aquatic ecosystems.

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“…It was also possible to detect how some researchers conduct comparative studies between the MBFG and other functional approaches traditionally applied to phytoplankton ecology in an attempt to seek the most efficient responses and greater predictive power (Izaguirre et al, 2012;Hu et al, 2013;Petar et al, 2014;Machado et al, 2015;Machado et al, 2016;Rangel et al, 2016;Lobo et al, 2018;Santana et al,, 2018;Bortolini et al, 2019;Cupertino et al, 2019). Different functional metrics have been used in the literature on phytoplankton, highlighting the MBFG (investigated in this article) and others as, for example, RFG, MFG.…”

Section: Discussionmentioning

confidence: 99%

“…Among the different functional classifications used for phytoplankton, the MBFG approach has been applied in other studies and aquatic ecosystems in different regions of the world (Fraisse et al, 2013;Segura et al, 2013;Bortolini et al, 2014;Bortolini & Bueno, 2017;Chen et al, 2015;Huszar et al, 2015;Mihaljević et al, 2013Mihaljević et al, , 2015Amorim et al, 2019;Magalhães et al, 2020). Besides, some studies have made comparisons by testing the efficiency of the morphological approach with other types of groupings (Izaguirre et al, 2012;Hu et al, 2013;Petar et al, 2014;Machado et al, 2015;Machado et al, 2016;Rangel et al, 2016;Lobo et al, 2018;Santana et al, 2018;Bortolini et al, 2019;Cupertino et al, 2019). Thus, it is recognized that classification based on morphology has been a relevant tool applied to freshwater phytoplankton ecological studies.…”

Section: Introductionmentioning

confidence: 99%

The global scientific literature on applications and trends in the use of functional morphological groups in phytoplankton studies

et al. 2021

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Aim The application of deconstructive approaches in aquatic ecology has been increasing recently. Especially for phytoplankton, some functional classifications summarize similar traits of a group of species to understand organisms’ response to landscape variability. One of these approaches deals with phytoplankton functional classification based on morphology (MBFG - Morphologically Based Functional Groups). Focusing on this approach, we systematic mapping the scientific literature to reveal this functional framework´s applications for freshwater phytoplankton. Methods For this study, we selected from the Thomson ISI Web of Science database all articles published between 2010 and 2018 dealing with MBFG. We recorded 179 manuscripts citing the phytoplankton functional classification based on morphology and, among them, we excluded three due to lack of access to information. Results A clear temporal trend occurred with an increase in citations involving the morphological approach, with Brazil, Uruguay, and China as the countries with the highest number of studies. Of the total records, 60 manuscripts applied morphological classification in their studies, of which 23 manuscripts comprised comparative studies with other functional approaches. Most applications were for phytoplankton in lakes, with biomass being the most used metric for framing taxa in MBFG. The most often recorded groups are MBFG IV (medium-sized organisms without specialization), VII (large mucilaginous colonies), and III (large filamentous organisms with aerotopes). Conclusion This study showed an increasing trend in the number of studies that used the functional approach based on MBFG. We believe that deconstructive approaches, such as MBFG, help assess issues of interest in phytoplankton ecology.

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Taxonomic and functional classifications of phytoplankton in tropical reservoirs with different trophic states

Cited by 6 publications

References 30 publications

Effects of space and environment on phytoplankton distribution in subtropical reservoirs depend on functional features of the species

Effects of space and environment on phytoplankton distribution in subtropical reservoirs depend on functional features of the species

Relationship between phytoplankton structure and environmental variables in tropical reservoirs with different trophic states

The global scientific literature on applications and trends in the use of functional morphological groups in phytoplankton studies

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