Functional groups of rotifers and an exotic species in a tropical shallow lake

Arcifa, Marlene Sofía; Souza, Bruno Barretto de; Morais-Junior, Cláudio Simões de; Bruno, Cyntia Goulart Corrêa

doi:10.1038/s41598-020-71778-1

Cited by 17 publications

(6 citation statements)

References 41 publications

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“…To underpin the functional diversity estimation, mean species‐level trait data were extracted from multiple published databases and articles (Arcifa et al, 2020 ; Borics et al, 2020 ; Hébert et al, 2016 ; Rimet & Druart, 2018 ). Here we consider traits as a measurable characteristic of an individual following Dawson et al ( 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Planktonic functional diversity changes in synchrony with lake ecosystem state

O’Brien

Thackeray

Matsuzaki

et al. 2022

Global Change Biology

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Managing ecosystems to effectively preserve function and services requires reliable tools that can infer changes in the stability and dynamics of a system. Conceptually, functional diversity (FD) appears as a sensitive and viable monitoring metric stemming from suggestions that FD is a universally important measure of biodiversity and has a mechanistic influence on ecological processes. It is however unclear whether changes in FD consistently occur prior to state responses or vice versa, with no current work on the temporal relationship between FD and state to support a transition towards traitbased indicators. There is consequently a knowledge gap regarding when functioning changes relative to biodiversity change and where FD change falls in that sequence.We therefore examine the lagged relationship between planktonic FD and abundancebased metrics of system state (e.g. biomass) across five highly monitored lake communities using both correlation and cutting edge non-linear empirical dynamic modelling approaches. Overall, phytoplankton and zooplankton FD display synchrony with lake state but each lake is idiosyncratic in the strength of relationship. It is therefore unlikely that changes in plankton FD are identifiable before changes in more easily collected abundance metrics. These results highlight the power of empirical dynamic modelling in disentangling time lagged relationships in complex multivariate ecosystems, but suggest that FD cannot be generically viable as an early indicator. Individual lakes therefore require consideration of their specific context and any interpretation of FD across systems requires caution. However, FD still retains value as an alternative state measure or a trait representation of biodiversity when considered at the system level.

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Section: Methodsmentioning

confidence: 99%

Planktonic functional diversity changes in synchrony with lake ecosystem state

O’Brien

Thackeray

Matsuzaki

et al. 2022

Global Change Biology

View full text Add to dashboard Cite

show abstract

“…To underpin the functional diversity estimation, mean species-level trait data were extracted from multiple published databases and articles (Hébert et al . 2016; Rimet & Druart 2018; Arcifa et al . 2020; Borics et al .…”

Section: Methodsmentioning

confidence: 99%

“…To underpin the functional diversity estimation, mean species-level trait data were extracted from multiple published databases and articles (Hébert et al 2016;Rimet & Druart 2018;Arcifa et al 2020;Borics et al 2020). Here we consider traits as a measurable characteristic of an individual following Dawson et al (2021).…”

Section: Functional Diversitymentioning

confidence: 99%

Planktonic functional diversity changes in synchrony with lake ecosystem state

O’Brien

Thackeray

Matsuzaki

et al. 2022

Preprint

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Managing ecosystems to effectively preserve function and services requires reliable tools that can infer changes in the stability and dynamics of a system. Conceptually, functional diversity (FD) appears a viable monitoring metric due to its mechanistic influence on ecological processes, but it is unclear whether changes in FD occur prior to state responses or vice versa. We examine the lagged relationship between planktonic FD and abundance-based metrics of system state (e.g. biomass) across five highly monitored lake communities using both correlation and non-linear causality approaches. Overall, phytoplankton and zooplankton FD display synchrony with lake state but each lake is idiosyncratic in the strength of relationship. It is therefore unlikely that changes in plankton FD are identifiable before changes in more easily collected abundance metrics. This suggests that FD is unlikely to be a viable early indicator, but has value as an alternative state measure if considered at the lake level.Graphical AbstractData accessibility statement:Lake Kinneret and Lake Kasumigaura data are available on request, with all other data publicly available and referenced throughout. All code for analysis is available in the Zenodo record (to be released) and the associated GitHub repository (https://github.com/duncanobrien/plankton-FD).

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“…For example, in terrestrial plant and soil microbiomes, metazoan predators, including nematodes and microarthropods, have been shown to influence microbiome composition and the fitness of plant hosts [22][23][24]. Similarly, metazoan predators in aquatic ecosystems, including common filter feeders, like rotifers and microcrustaceans, contribute to microbial consumption, potentially influencing microbial communities, akin to their terrestrial counterparts [25][26][27]. Similar to these macroscopic predators, microorganisms, including bacteriophages and protists (e.g.…”

Section: Introductionmentioning

confidence: 99%

Trophic interactions in microbiomes influence plant host population size and ecosystem function

Tan,

Wei,

Turcotte

2024

Proc. R. Soc. B.

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Plant microbiomes that comprise diverse microorganisms, including prokaryotes, eukaryotes and viruses, are the key determinants of plant population dynamics and ecosystem function. Despite their importance, little is known about how species interactions (especially trophic interactions) between microbes from different domains modify the importance of microbiomes for plant hosts and ecosystems. Using the common duckweed Lemna minor , we experimentally examined the effects of predation (by bacterivorous protists) and parasitism (by bacteriophages) within microbiomes on plant population size and ecosystem phosphorus removal. Our results revealed that the addition of predators increased plant population size and phosphorus removal, whereas the addition of parasites showed the opposite pattern. The structural equation modelling further pointed out that predation and parasitism affected plant population size and ecosystem function via distinct mechanisms that were both mediated by microbiomes. Our results highlight the importance of understanding microbial trophic interactions for predicting the outcomes and ecosystem impacts of plant–microbiome symbiosis.

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Functional groups of rotifers and an exotic species in a tropical shallow lake

Cited by 17 publications

References 41 publications

Planktonic functional diversity changes in synchrony with lake ecosystem state

Planktonic functional diversity changes in synchrony with lake ecosystem state

Planktonic functional diversity changes in synchrony with lake ecosystem state

Trophic interactions in microbiomes influence plant host population size and ecosystem function

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