Factors affecting the metacommunity structure of periphytic ostracods (Crustacea, Ostracoda): a deconstruction approach based on biological traits

Campos, Ramiro de; Lansac‐Tôha, Fernando Miranda; Conceição, Eliezer de Oliveira da; Martens, Koenraad; Higuti, Janet

doi:10.1007/s00027-018-0567-2

Cited by 23 publications

(13 citation statements)

References 62 publications

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“…Nevertheless, in accordance with theoretical expectations (Fig. 3, 'connectedness'), the relative effect of space in these studies was low and not significant (de Campos et al, 2018) or attributed mostly to dispersal surplus (Castillo-Escrivà et al, 2016a). In variation partitioning, dispersal surplus may be detectable if the shared effect of environment and space is high but the correlation between environment and space is low (Cottenie, 2005).…”

Section: Dispersal Of Ostracodssupporting

confidence: 89%

“…Our overview showed that freshwater meiofauna has been so far underrepresented in metacommunity studies. All the relevant studies (19) were observational and produced by the efforts of only a few research teams in few sampling areas (Matsuda et al, 2015; as well Escrivà et al, 2015;Castillo-Escrivà et al, 2016b, 2017ade Campos et al, 2018 were sampled in the same areas), thus the knowledge on metacommunity processes in meiofauna remains only fragmentary. The vast majority of the metacommunity studies focused on ostracods, and only a small number on rotifers and nematodes (Table 2), whereas other meiofaunal taxa, such as tardigrades, water mites, and harpacticoids, have been completely neglected.…”

Section: Datasetmentioning

confidence: 99%

“…In our review, 16 studies analyzed the effect of space on meiofauna, using different ways: (i) by comparing metacommunity patterns between several spatial scales (Fontaneto et al, 2005;Matsuda et al, 2015;Dümmer et al, 2016), (ii) by testing the influence of geographical distances and the non-/linear effects of latitude and longitude (Fontaneto et al, 2011), and (iii) by testing the effect of nonlinear spatial variables modeled according to the geographical distances between sites (Escrivà et al, 2015;Zhai et al, 2015b;Michelson et al, 2016;Castillo-Escrivà et al, 2016a, b, 2017aRosati et al, 2017;de Campos et al, 2018). Most of the studies reported dispersal limitations (Escrivà et al, 2015;Zhai et al, 2015b;Castillo-Escrivà et al, 2016b, 2017aRosati et al 2017;de Campos et al, 2018), fewer dispersal sufficiency Fontaneto et al, 2011;Matsuda et al, 2015;Michelson et al, 2016;de Campos et al, 2018), and in one a significant spatial structure was attributed to a dispersal surplus (Castillo-Escrivà et al, 2016a). The different results may reflect actual differences in the realized dispersal of the studied taxa within the particular metacommunities, i.e., the metacommunity context (Fig.…”

Section: Dispersal-based Processesmentioning

confidence: 99%

“…However, they were unable to distinguish local-scale processes due to strong time averaging (Tomasových & Kidwell, 2010). Although the other studies did not explicitly investigate local stochastic processes, some of them consider their occurrence within meiofaunal metacommunities (e.g., Fontaneto et al, 2011;Rosati et al, 2017;de Campos et al, 2018).…”

Section: Local Stochasticitymentioning

confidence: 99%

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Meiofauna as a model to test paradigms of ecological metacommunity theory

2020

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The metacommunity concept incorporates spatial dynamics into community ecology, shedding light on how local and regional processes interact in structuring ecological communities, and to which measure they are deterministic or stochastic. We reviewed metacommunity studies on freshwater meiobenthos published since 2004, when the main principles of metacommunity theory were conceptualized. The studies (together 19) were observational, focused mainly on ostracods, and rarely on rotifers and nematodes. In accordance with general expectations, the prevalent structuring force was species sorting.Ostracods showed more dispersal limitations than nematodes and rotifers, and there was very little support for dispersal surplus. We discussed the role of body size, dispersal mode, and attachment to sediment for the meiofauna dispersal. Effects of metacommunity context (habitat connectivity, spatial extent, and environmental heterogeneity), study design (e.g., sample size), and statistical approach could not be sufficiently disentangled due to the low number of studies. Local stochasticity, consistent with neutral theory and patch dynamics, was indicated for taxa with weak specialization and metacommunities in small habitats. Our understanding of meiofaunal metacommunities is only fragmentary and it would highly benefit from direct comparisons of taxa with different species traits and between different spatial scales, and studies incorporating temporal dynamics and hypothesis-driven experiments.

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Section: Dispersal Of Ostracodssupporting

confidence: 89%

Section: Datasetmentioning

confidence: 99%

Section: Dispersal-based Processesmentioning

confidence: 99%

Section: Local Stochasticitymentioning

confidence: 99%

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Meiofauna as a model to test paradigms of ecological metacommunity theory

2020

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“…Such models of the functional classification can be based on the ecological niche theory, containing species grouped according to their shared physiological, morphological and phenological characteristics, and can be independent of phylogenetic relationships (Litchman et al 2010;Salmaso et al 2015). Approaches based on species traits have shown which groups of species have distinct responses according to their biological traits (Heino et al 2015;Tonkin et al 2016;Campos et al 2018). Reynolds functional groups (RFGs, supported by Kruk et al 2017), for example, are sensitive to environmental variation, and in this sense, trait-based approaches have been increasingly applied to explain and predict the response of phytoplankton species to environmental conditions in aquatic systems (Nabout et al 2006;Crossetii et al 2014;Rangel et al 2016;Bortolini 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

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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.

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Species' traits and taxonomic distance can predict the hatching phenology of ostracod (Crustacea) resting eggs from tropical floodplain lakes

et al. 2021

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Freshwater ostracods are commonly found in temporary ponds and lakes, surviving drought periods by producing resting eggs. We investigated the hatching phenology of ostracod resting eggs from the sediments of temporary floodplain lakes, considering both the taxonomic distance between species and their functional traits, such as carapace size (length and height) and shape, valve ornamentation, and reproductive mode. In addition, we tested the hypotheses: (1) that the hatching time is more similar between congeneric ostracod species than between noncongeneric species; (2) that differences in hatching time between congeneric species are often related to differences in functional traits; (3) that both species composition and functional traits composition of hatchlings change over the incubation time, but with a reduction in the variability over time. The experiment was conducted for 98 days in the laboratory, and the microcosms were monitored weekly. The first hatching of an ostracod was recorded during the second week of incubation after hydration of the sediments. A total of 12 ostracod species hatched, belonging to the families Cyprididae and Candonidae. The above three hypotheses were corroborated. The time between inundation and first hatching was mostly similar for congeneric species in the genus Chlamydotheca, but was different between some species of Strandesia, which might be owing to differences in functional traits. The species composition and functional trait composition of the hatched ostracods were significantly different over the 14 weeks of incubation due to the different hatching phenology of different species. Furthermore, our results show that both taxonomic distance and functional traits can influence the hatching time of ostracod resting eggs from temporary floodplain lakes. Thus, future studies addressing the hatching phenology of ostracod resting eggs (and resting stages from other invertebrates) should also emphasize the use of functional traits.

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Factors affecting the metacommunity structure of periphytic ostracods (Crustacea, Ostracoda): a deconstruction approach based on biological traits

Cited by 23 publications

References 62 publications

Meiofauna as a model to test paradigms of ecological metacommunity theory

Meiofauna as a model to test paradigms of ecological metacommunity theory

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

Species' traits and taxonomic distance can predict the hatching phenology of ostracod (Crustacea) resting eggs from tropical floodplain lakes

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