2007
DOI: 10.1038/ismej.2007.6
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Synchrony in aquatic microbial community dynamics

Abstract: Population dynamics are influenced by drivers acting from outside and from within an ecosystem. Extrinsic forces operating over broad spatial scales can impart synchronous behavior to separate populations, while internal, system-specific drivers often lead to idiosyncratic behavior. Here, we demonstrate synchrony in community-level dynamics among phytoplankton and bacteria in six north temperate humic lakes. The influence of regional meteorological factors explained much of the temporal variability in the phyt… Show more

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Cited by 229 publications
(246 citation statements)
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“…Lakes provide an excellent system to explore the influence of intrinsic vs extrinsic drivers of microbial communities, since the shoreline boundaries enable one to distinguish forces acting from within and from outside the system (Kent et al, 2007). Previous studies addressing temporal coherence were thus made across a series of distinct lakes at different temporal and spatial scales (Rusak et al, 1999;Baines et al, 2000;Arnott et al, 2003).…”
Section: Discussionmentioning
confidence: 99%
“…Lakes provide an excellent system to explore the influence of intrinsic vs extrinsic drivers of microbial communities, since the shoreline boundaries enable one to distinguish forces acting from within and from outside the system (Kent et al, 2007). Previous studies addressing temporal coherence were thus made across a series of distinct lakes at different temporal and spatial scales (Rusak et al, 1999;Baines et al, 2000;Arnott et al, 2003).…”
Section: Discussionmentioning
confidence: 99%
“…In the diagram, Gram + for Gram-positive bacteria abundance, Gram − for Gram-negative bacteria abundance, Anaerobic for anaerobic bacteria abundance; DHA for dehydrogenase, Ure for urease, Nitr for nitrate reductase, Pho for phosphatase pollutants in the constructed wetlands (Ahn et al 2007;Krasnits et al 2009). Microbial community structure has been proposed to be an important determinant of water quality improvement in the wetland systems (Calheiros et al 2009;Faulwetter et al 2009), and temperature (Smith et al 2010), hydrologic regime and pollutant treatments (Mentzer et al 2006;Steenwerth et al 2006), plant diversity and function group richness (Zhang et al 2010 and biotic succession (Kent et al 2007), could strongly influence the microbial community structure. In the present study, the effects of microbial community structure (four diagnostic fatty acid (FA) groups) and environmental parameters on pollutant removal efficiencies were also determined by RDA (Fig.…”
Section: Relationships Between Microbial Community Structures and Funmentioning
confidence: 99%
“…Xu et al (2009a) evaluated the temporal coherence of spring chlorophyll a (a good indicator of algal blooms) in a small-scale system (Xiangxi Bay, TGR) and confirmed the dominance of local-scale regulators on phytoplankton spring blooms. Nevertheless, synchrony of the succession of community composition has been rarely detected during the long term (Kent et al 2007;Rusak et al 2009). Further, detection of phytoplankton synchrony accounting for community composition is necessary to determine whether local-scale regulators or regional drivers play a key role on phytoplankton dynamics (Xu et al 2011a) because the variability of all natural communities may be measured by two distinct but related quantities: aggregate variability (total abundance) and compositional variability (community composition) (Brown and Lawson 2010).…”
Section: Introductionmentioning
confidence: 99%