Seven-year dynamics of testate amoeba communities driven more by stochastic than deterministic processes in two subtropical reservoirs

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Seven-year dynamics of testate amoeba communities driven more by stochastic than deterministic processes in two subtropical reservoirs. / Wang, Wenping; Ren, Kexin; Chen, Huihuang; Gao, Xiaofei; Rønn, Regin; Yang, Jun.

In: Water Research, Vol. 185, 116232, 2020.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Wang, W, Ren, K, Chen, H, Gao, X, Rønn, R & Yang, J 2020, 'Seven-year dynamics of testate amoeba communities driven more by stochastic than deterministic processes in two subtropical reservoirs', Water Research, vol. 185, 116232. https://doi.org/10.1016/j.watres.2020.116232

APA

Wang, W., Ren, K., Chen, H., Gao, X., Rønn, R., & Yang, J. (2020). Seven-year dynamics of testate amoeba communities driven more by stochastic than deterministic processes in two subtropical reservoirs. Water Research, 185, [116232]. https://doi.org/10.1016/j.watres.2020.116232

Vancouver

Wang W, Ren K, Chen H, Gao X, Rønn R, Yang J. Seven-year dynamics of testate amoeba communities driven more by stochastic than deterministic processes in two subtropical reservoirs. Water Research. 2020;185. 116232. https://doi.org/10.1016/j.watres.2020.116232

Author

Wang, Wenping ; Ren, Kexin ; Chen, Huihuang ; Gao, Xiaofei ; Rønn, Regin ; Yang, Jun. / Seven-year dynamics of testate amoeba communities driven more by stochastic than deterministic processes in two subtropical reservoirs. In: Water Research. 2020 ; Vol. 185.

Bibtex

@article{e96541c49bdc47fb9a1190ec768e9c97,
title = "Seven-year dynamics of testate amoeba communities driven more by stochastic than deterministic processes in two subtropical reservoirs",
abstract = "Testate amoebae are widely distributed in natural ecosystems and play an important role in the material cycle and energy flow. However, community assembly of testate amoebae is not well understood, especially with regard to the relative importance of the stochastic and deterministic processes over time. In this study, we used Illumina high-throughput sequencing to explore the community assembly of testate amoebae from surface waters in two reservoirs of subtropical China over a seven-year period. Majority of testate amoebae belonged to the rare taxa because their relative abundances were typically lower than 0.01% of the total eukaryotic plankton community. The testate amoeba community dynamics exhibited a stronger interannual than seasonal variation in both reservoirs. Further, species richness, rather than species turnover, accounted for the majority of community variation. Environmental variables explained less than 20% of the variation in community composition of testate amoebae, and the community assembly appeared to be strongly driven by stochastic processes. Based on the Sloan neutral community model, it was found that neutral processes explained more than 65% of community variation. More importantly, the Stegen null model analysis showed that the stochastic processes (e.g., ecological drift) explained a significantly higher percentage of community assembly than deterministic processes over seven years, although deterministic processes were more influential in certain years. Our results provide new perspectives for understanding the ecological patterns, processes and mechanisms of testate amoeba communities in freshwater ecosystems at temporal scale, and have important implications for monitoring plankton diversity and protecting drinking-water resources.",
keywords = "Community assembly, Community ecology, Ecological drift, Freshwater, Null-model, Plankton",
author = "Wenping Wang and Kexin Ren and Huihuang Chen and Xiaofei Gao and Regin R{\o}nn and Jun Yang",
year = "2020",
doi = "10.1016/j.watres.2020.116232",
language = "English",
volume = "185",
journal = "Water Research",
issn = "0043-1354",
publisher = "I W A Publishing",

}

RIS

TY - JOUR

T1 - Seven-year dynamics of testate amoeba communities driven more by stochastic than deterministic processes in two subtropical reservoirs

AU - Wang, Wenping

AU - Ren, Kexin

AU - Chen, Huihuang

AU - Gao, Xiaofei

AU - Rønn, Regin

AU - Yang, Jun

PY - 2020

Y1 - 2020

N2 - Testate amoebae are widely distributed in natural ecosystems and play an important role in the material cycle and energy flow. However, community assembly of testate amoebae is not well understood, especially with regard to the relative importance of the stochastic and deterministic processes over time. In this study, we used Illumina high-throughput sequencing to explore the community assembly of testate amoebae from surface waters in two reservoirs of subtropical China over a seven-year period. Majority of testate amoebae belonged to the rare taxa because their relative abundances were typically lower than 0.01% of the total eukaryotic plankton community. The testate amoeba community dynamics exhibited a stronger interannual than seasonal variation in both reservoirs. Further, species richness, rather than species turnover, accounted for the majority of community variation. Environmental variables explained less than 20% of the variation in community composition of testate amoebae, and the community assembly appeared to be strongly driven by stochastic processes. Based on the Sloan neutral community model, it was found that neutral processes explained more than 65% of community variation. More importantly, the Stegen null model analysis showed that the stochastic processes (e.g., ecological drift) explained a significantly higher percentage of community assembly than deterministic processes over seven years, although deterministic processes were more influential in certain years. Our results provide new perspectives for understanding the ecological patterns, processes and mechanisms of testate amoeba communities in freshwater ecosystems at temporal scale, and have important implications for monitoring plankton diversity and protecting drinking-water resources.

AB - Testate amoebae are widely distributed in natural ecosystems and play an important role in the material cycle and energy flow. However, community assembly of testate amoebae is not well understood, especially with regard to the relative importance of the stochastic and deterministic processes over time. In this study, we used Illumina high-throughput sequencing to explore the community assembly of testate amoebae from surface waters in two reservoirs of subtropical China over a seven-year period. Majority of testate amoebae belonged to the rare taxa because their relative abundances were typically lower than 0.01% of the total eukaryotic plankton community. The testate amoeba community dynamics exhibited a stronger interannual than seasonal variation in both reservoirs. Further, species richness, rather than species turnover, accounted for the majority of community variation. Environmental variables explained less than 20% of the variation in community composition of testate amoebae, and the community assembly appeared to be strongly driven by stochastic processes. Based on the Sloan neutral community model, it was found that neutral processes explained more than 65% of community variation. More importantly, the Stegen null model analysis showed that the stochastic processes (e.g., ecological drift) explained a significantly higher percentage of community assembly than deterministic processes over seven years, although deterministic processes were more influential in certain years. Our results provide new perspectives for understanding the ecological patterns, processes and mechanisms of testate amoeba communities in freshwater ecosystems at temporal scale, and have important implications for monitoring plankton diversity and protecting drinking-water resources.

KW - Community assembly

KW - Community ecology

KW - Ecological drift

KW - Freshwater

KW - Null-model

KW - Plankton

U2 - 10.1016/j.watres.2020.116232

DO - 10.1016/j.watres.2020.116232

M3 - Journal article

C2 - 32750568

AN - SCOPUS:85088932945

VL - 185

JO - Water Research

JF - Water Research

SN - 0043-1354

M1 - 116232

ER -

ID: 247387545