Taxonomic and functional nestedness patterns of phytoplankton communities among coastal shallow lakes in southern Brazil

Bohnenberger, Juliana Elisa; Schneck, Fabiana; Crossetti, Luciane Oliveira; Lima, Marla Sonaira; Marques, David da Motta

doi:10.1093/plankt/fby032

Cited by 15 publications

(7 citation statements)

References 69 publications

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“…Relating the community to the environmental conditions of the rivers, the taxonomic approach proved to be more sensitive than the MBFGs. MBFGs have been applied in different studies, and their responses to environmental variability have also been satisfactory (Bohnenberger et al, 2018;Cupertino et al, 2019;Yang et al, 2020;Trindade et al, 2021). However, in our study, MBFGs were not related to the environmental variability of rivers.…”

Section: Discussionmentioning

confidence: 45%

Taxonomic and morphofunctional phytoplankton response to environmental variability in rivers from different hydrographic basins in Southern Brazil

et al. 2022

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Aim Urbanization, agriculture, and deforestation are the main anthropogenic factors that modify the soil, altering the quality of water, and influencing limnological aspects and the aquatic biota in rivers. We investigated the morphology-based taxonomic and functional response (MBFG) of the phytoplankton community among different public supply rivers in distinct hydrographic basins with ultraoligotrophic, oligotrophic, and mesotrophic characteristics. Methods We sampled the phytoplankton community and environmental variables in nine rivers along three hydrographic basins in western Paraná. In order to evaluate the taxonomic and functional relationship of the community with the environmental variables, we applied both variance and redundancy analyses. Results Differences in temperature, pH, turbidity, total phosphorus, chemical oxygen demand, and total dissolved solids were identified among river basins and/or trophic states. The highest taxonomic contributions to richness and biovolume were from green algae and diatoms, while the highest functional contributions were from MBFG IV (algae without specialized traits), MBFG V (unicellular flagellated algae), MBFG VI (algae with a siliceous exoskeleton) and MBFG (large colonial algae). The taxonomic approach was sensitive to environmental variability in the rivers, while for the functional approach no relationship to environmental variability was identified. Conclusions The taxonomic approach of the phytoplankton community was more sensitive to the environmental variability of the studied rivers than the functional approach based on morphology. Therefore, we reinforce the importance of biological indicators for understanding the dynamics in aquatic ecosystems, providing crucial information for the management of water resources used for public supply.

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Section: Discussionmentioning

confidence: 45%

Taxonomic and morphofunctional phytoplankton response to environmental variability in rivers from different hydrographic basins in Southern Brazil

et al. 2022

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“…In scenarios with high coverage of emergent macrophytes, where nutrients were not limiting, group VII (large colonial individuals) were most representative. This group includes species sensitives to low resource supply, because its morphology (Kruk et al 2010;Bohnenberger et al 2018).…”

Section: Discussionmentioning

confidence: 99%

“…In addition, the sample units in the CCA mbfg were scattered on the axis that accumulated the highest explanatory range. Therefore, we suggest that the morphological classification represents the most efficient tool for explaining the variation of the phytoplankton community in studies with detailed spatial sampling (e.g., Bohnenberger et al 2018) and that also consider biological interactions (e.g., Diniz et al 2019). The functional classifications are based on ecological, physical and phenological traits and group individuals who share the same specific niche, regardless of their phylogeny, which reduces the bias of the ecological redundancy contained in the taxonomic classification (Salmaso et al 2015).…”

Section: Discussionmentioning

confidence: 99%

“…Bortolini et al (2014) analyzed the phytoplankton community of a River floodplain in southern Brazil and concluded FG classification was more related to the abiotic variables than MBFG. FG classification would be more appropriate in studies that seek relationships between biological community and different environmental conditions (specific niches) as in this work, while the MBFG would be associated with studies of data resulting from a more detailed sampling, spatially (Rangel et al 2016;Bohnenberger et al 2018) or temporally (Izaguirre et al 2012).…”

Section: Introductionmentioning

confidence: 99%

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Taxonomic and functional approaches to phytoplankton in ecosystems with different coverage of aquatic plants

et al. 2020

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Functional classifications are important for studies with phytoplankton, because they are based on ecological or morphological characteristics. We tested the interference of the macrophyte coverage in taxonomic and functional structure of phytoplankton community. Twelve small reservoirs were visited in September 2015 and May 2016 in semiarid regions of Brazilian northeast. Water samples were collected and abiotic variables were measured using a probe. Macrophyte coverage was recorded using the dot method. The microalgae were classified using taxonomic classification (taxa), morphological functional classification (MBFG) and functional groups (FG). We found 242 taxa, 22 FG and the seven MBFG. Phytoplankton presented an average biomass of 3.8 mg L −1 and a richness average of 38 species in dry period, while during the rainy season the biomass value was 6.2 mg L −1 and the richness, 33 species. The macrophytes had the highest average cover during the rainy season (63%) than the dry season (32%). Spearman analyses showed no correlation between total macrophyte coverage and biomass and richness (taxonomic and functional) of phytoplankton (P > 0.05). However, the growth form of emergent and free-floating macrophytes were selected as explanatory variables in the CCA model performed with the MBFG classification. This model presented greatest explanatory power (57%) when compared to FG classification (21%) and taxonomy (20%). Considering our results, using the MBFG classification is recommended for studies with similar sampling design, because it presents greater explanatory power and expresses the relationship between phytoplankton and aquatic macrophytes.

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“…The nesting patterns might be a result of 'passive human sampling' [37]. That is, significant variations exist in species abundance across different habitats.…”

Section: Nested Structure Of Plankton In the Upper Section Of The Dia...mentioning

confidence: 99%

Nested Patterns of Phytoplankton and Zooplankton and Seasonal Characteristics of Their Mutualistic Networks: A Case Study of the Upstream Section of the Diannong River in Yinchuan City, China

Meng,

Zhao,

Qiu

et al. 2023

Water

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The Diannong River, a valuable river and lake resource of the northern Ningxia Yellow River Irrigation Area, plays an instrumental role in regional flood control, drought resistance, climate regulation, and biodiversity conservation. Phytoplankton and zooplankton, as crucial elements of the aquatic ecosystem, have their distribution patterns evaluated and potential influencing factors identified, thereby enhancing the understanding of community distribution patterns. Nested structures and interspecies interaction relationships bear significant implications for community distribution patterns, functions, and stability. The upstream section of the Diannong River in Yinchuan City was chosen as the study object. Water samples were collected in January, April, July, and October 2021, and the community composition of phytoplankton and zooplankton was analyzed using relative abundance, density, and biomass. The distribution matrix temperature and bipartite network methodologies were deployed to investigate their nested pattern and interaction network seasonal characteristics. The findings indicate that the water environment of the Diannong River’s upstream section displays pronounced spatiotemporal heterogeneity, characterized by weak alkalinity and high fluoride content. The plankton community composition and relative abundance showed marked differences among the distinct sampling periods. The temperature of the random distribution matrix shows a significant difference compared to the zero-sum model, revealing a notable nested pattern in plankton in the Diannong River’s upstream section. The bipartite network suggests that the plankton composition was the simplest in January and the most complex in July, with the fiercest species competition observed in January and the lowest levels of species specificity, vulnerability, and generality. Water temperature (WT), dissolved oxygen (DO), total phosphorus (TP), available phosphorus (AP), CODCr, F−, and Cl− constitute the environmental parameters influencing the overall structure of the phytoplankton community in the Diannong River’s upstream section, whereas zooplankton did not present a significant correlation with water environmental factors.

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Taxonomic and functional nestedness patterns of phytoplankton communities among coastal shallow lakes in southern Brazil

Cited by 15 publications

References 69 publications

Taxonomic and morphofunctional phytoplankton response to environmental variability in rivers from different hydrographic basins in Southern Brazil

Taxonomic and morphofunctional phytoplankton response to environmental variability in rivers from different hydrographic basins in Southern Brazil

Taxonomic and functional approaches to phytoplankton in ecosystems with different coverage of aquatic plants

Nested Patterns of Phytoplankton and Zooplankton and Seasonal Characteristics of Their Mutualistic Networks: A Case Study of the Upstream Section of the Diannong River in Yinchuan City, China

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