Morphology-based classification of functional groups for potamoplankton

Chen, Ning; Liu, Ling; Li, Yanfeng; Qiao, Danying; Li, Yuanpo; Zhang, Ying; Lv, Yuguang

doi:10.4081/jlimnol.2015.1173

Cited by 8 publications

(16 citation statements)

References 73 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We speculate that this might be related to intensive interference from water retention facilities. First, the eutrophic background met the strong need of large diatoms for silica (Chen et al, 2015). Second, the prolonged residence time supported benthos, epiphyte or meroplankton by increasing dead-zones and light penetrating to the river bed (Butcher, 1932).…”

Section: Patternmentioning

confidence: 99%

“…Besides tolerance to low light, the successful groups of phytoplankton also survived depending on different strategies against the lashing of water flow. The blue-green filaments were flexible to conform to current, and small diatoms had exoskeletal structures as hard armor against the impacts from suspended sediment (Chen et al, 2015). Eutrophication in rivers is likely to express itself in two different forms based on hydraulic residence time (Hilton et al, 2006), and Pattern 2 belonged to the form of shorter retention.…”

Section: Patternmentioning

confidence: 99%

See 1 more Smart Citation

Seasonal succession patterns of plankton in eutrophic rivers on plains

Chen

Liu

Qiao

et al. 2016

Ann. Limnol. - Int. J. Lim.

Self Cite

View full text Add to dashboard Cite

The typical annual circulation of phytoplankton in eutrophic rivers has been documented. However, there is still a conspicuous lack of consistency in subsequent reports. On the basis of an overall investigation of 15 eutrophic rivers on the Lower Yangze-Huai River Plain, the seasonal successions of phytoplankton according to morpho-functional groups (MFGs) were clustered. The results indicated fundamental agreement with the classic paradigm, but differences were found and tended to converge to at least three regular patterns. They were characterized respectively by: (1) winter peaks of large diatoms and a summer peak of cyanobacteria colonies, different zooplankton dominating alternately; (2) only a summer peak of bluegreen filaments, rotifers dominating all year round; and (3) composite peaks of filamentous cyanobacteria, centric diatoms and small flagellates, extremely low zooplankton density. All were potentially driven by anthropogenic influences through significantly changing water environments. Pattern 1 often developed in rivers with slow flow controlled by physicochemical factors, which was attributed to high levels of water retention. Pattern 2 often developed in rivers with massive suspended sediment controlled by hydrological features, which was attributed to massive shipping. Pattern 3 often developed in rivers with significant levels of organic pollutants controlled by dissolved oxygen, which were attributed to the agricultural load and overindustrialization. As a successful application of MFGs, we suggest that this type of morpho-functional approach for phytoplankton performed better in statistical analysis targeted to general ecological laws than to local details about just one specific water body, though this approach still needs to be improved.

show abstract

Section: Patternmentioning

confidence: 99%

Section: Patternmentioning

confidence: 99%

Seasonal succession patterns of plankton in eutrophic rivers on plains

Chen

Liu

Qiao

et al. 2016

Ann. Limnol. - Int. J. Lim.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In phytoplankton, the body size is related to physiology and life-history (Marañón 2008), photosynthetic processes (Litchman et al 2010), nutrient uptake kinetics (Sauterey et al 2017)and other eco-evolutionary processes (D'Andrea et al 2018). Despite the importance of body size, the use of a single trait as a proxy for the niche may not evidence species differences generated by hidden niches and impair the understanding of clumpy patterns (Reynolds et al 2014, Chen et al 2015, Bortolini and Bueno 2017. The use of multiple traits emerges as a powerful tool to disentangle plankton functional structure and evaluate competing hypotheses (Kruk et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Clumpy coexistence in phytoplankton: The role of functional similarity in community assembly

Graco-Roza

Segura

Kruk

et al. 2019

Preprint

View full text Add to dashboard Cite

Emergent neutrality (EN) suggests that species must be sufficiently similar or sufficiently different in their niches to avoid interspecific competition. Such a scenario results in species-rich aggregation patterns termed clumps. Plankton has been a popular model system in developing and testing ecological theories, especially size structure and species coexistence. We tested EN predictions for the phytoplankton community along the course of a tropical river considering body size structure and multidimensional trait similarity in terms of morphology-based functional groups (MBFG). We found two stable main clumps in body size with species pertaining to three MBFGs. Amongspecies differences in biovolume were driven by their functional redundancy at the clump level but not at the whole community level. Furthermore, the dominance of functionally redundant species at the clump level varied stochastically as expected under EN. The relative biovolume of species was related to species functional distinctiveness at the clump level. Our findings suggest that species with similar traits are selected under given environmental conditions, but even minor shifts in trait combination may lead to reproductive success.

show abstract

“…Biological communities are shaped by various drivers, and understanding the processes that determine their distribution represents a major interest to ecologists (Datry et al 2016). Considering that organisms may present different responses to the environment (Litchman et al 2012), the use of deconstructive approaches, such as functional classification models (Reynolds et al 2002;Padis ak et al 2009;Kruk et al 2010;Chen et al 2015), can be an important tool for understanding the effects of environmental heterogeneity on phytoplankton structure, in addition to providing important information for monitoring aquatic systems (Abonyi et al 2012;Bortolini et al 2014;Rodrigues et al 2018).…”

Section: Introductionmentioning

confidence: 99%

A functional deconstructive approach to mixotrophic phytoplankton responds better to local, regional and biogeographic predictors than species

et al. 2019

View full text Add to dashboard Cite

The use of deconstructive approaches, such as functional classification models, can be an important tool for understanding aquatic systems. This study aimed to evaluate the distribution and community structure of mixotrophic flagellates in lakes of four large Brazilian floodplain systems, those of Amazon River, Araguaia River, Pantanal and upper Paraná River, in contrasting hydrological periods. A partial redundancy analysis (pRDA) was used to estimate the relative roles of environmental, spatial and biogeographic factors on both the entire community and a deconstructive approach using Reynolds' mixotrophic flagellate functional groups (RFGs). High environmental variability was found between the rainy and dry periods, mostly for the Amazon floodplain system. We identified 135 taxa and seven RFGs of mixotrophic flagellates: E, Lo, Q, W1, W2, Ws and Y. A permanova evidenced that biomass of mixotrophic flagellate RFGs reflected differences among floodplains and between hydrological periods. Our results showed that the use of RFGs better summarises the mixotrophic phytoplankton metacommunity structure when compared to the use of the entire community. The pRDA showed that explanatory matrices explained up to 37% of variation in the community. Environmental, spatial and biogeographic factors were important to explain the structure of the mixotrophic flagellates; however, the importance of the different components seemed to depend on the hydrological period and the traits of each RFG.

show abstract

Morphology-based classification of functional groups for potamoplankton

Abstract: Simple

Cited by 8 publications

References 73 publications

Seasonal succession patterns of plankton in eutrophic rivers on plains

Seasonal succession patterns of plankton in eutrophic rivers on plains

Clumpy coexistence in phytoplankton: The role of functional similarity in community assembly

A functional deconstructive approach to mixotrophic phytoplankton responds better to local, regional and biogeographic predictors than species

Contact Info

Product

Resources

About