Patterns of zooplankton population synchrony in a tropical reservoir

Lodi, Sara; Velho, Luiz Felipe Machado; Carvalho, Priscilla; Bini, Luis Maurício

doi:10.1093/plankt/fbu028

Cited by 17 publications

(14 citation statements)

References 38 publications

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“…Absence of typical distance-decay patterns may be a common feature of synchrony between sites within a single body of freshwater. Other studies of synchrony in one freshwater body have also documented absent or minimal declines across greater distances than ours ( 100 km), as well as generally high levels of spatial synchrony for a variety of taxa (Grenouillet et al 2001, Michaletz and Siepker 2013, Seebens et al 2013, Lodi et al 2014. In contrast, synchrony is typically weaker between pairs of water bodies (Cattanéo et al 2003, Rusak et al 2008, Michaletz and Siepker 2013, and does decline with distance for some taxa (Rogers and Schindler 2008), though such tests are absent from other between-water body comparisons (Cattanéo et al 2003, Rusak et al 2008.…”

Section: Discussionsupporting

confidence: 48%

“…Dispersal as a mechanism of synchrony has typically been less of a focus in between-lake synchrony studies because it is unlikely that synchrony would arise from this mechanism between lakes: dispersal between lakes is probably very limited in numbers of organisms transferred. A few studies have investigated synchrony between different locations within a single water body (Lansac-Tôha et al 2008, Seebens et al 2013, Lodi et al 2014, where dispersal via currents could be more important as a synchronizing agent, though dispersal as a mechanism has only rarely been explicitly investigated or compared to alternative possible mechanisms in any freshwater study (Seebens et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Using geography to infer the importance of dispersal for the synchrony of freshwater plankton

Anderson

Walter

Levine

et al. 2017

Oikos

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Spatial synchrony in population dynamics is a ubiquitous ecological phenomenon that can result from predator–prey interactions, synchronized environmental variation (Moran effects), or dispersal. Of these, dispersal historically has been the least well studied in natural systems, partly because of the difficulty in quantifying dispersal in situ. We hypothesized that dispersal routes of plankton were based on the major and consistent water current movements in Kentucky Lake, a large reservoir in western Kentucky, USA. Then, using 26‐year time series collected at 16 locations, we used matrix regression techniques to test whether spatial heterogeneity in strengths of hypothesized dispersal predicted spatial patterns of synchrony of phytoplankton and zooplankton, thereby testing for evidence of dispersal as a possible mechanism of synchrony in this system. Nearly all taxa showed significant spatial synchrony that did not decline with increasing linear distance between locations. All taxa also showed substantial geographic structure in synchrony that was not explained by linear distance. Matrix regression revealed that our hypothesized matrix of dispersal pathways, which differed substantially from linear distance, was a significant predictor of spatial variability in synchrony in phytoplankton biomass, and Bosmina longirostris and Daphnia lumholtzi densities. Thus dispersal was a likely mechanism of synchrony for these taxa. Our hypothesized dispersal matrix was a significant predictor of spatial patterns of synchrony for these taxa even after accounting for numerous alternative possible mechanisms, including possible Moran effects through any of ten physical/abiotic constraints. Our findings indicate that statistically comparing hypothesized or measured dispersal pathway information to synchrony data via matrix regressions can provide valuable evidence for the importance of dispersal as a mechanism of spatial synchrony.

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Section: Discussionsupporting

confidence: 48%

Section: Introductionmentioning

confidence: 99%

Using geography to infer the importance of dispersal for the synchrony of freshwater plankton

Anderson

Walter

Levine

et al. 2017

Oikos

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“…Our results indicate that in terms of effect sizes, the limnological (dis)similarity between sites was a more important predictor of biological synchrony than geographic distance. This is in agreement with a growing number of studies that have indicated the importance of Moran effects as drivers of population synchrony (Fox, Vasseur, Hausch, & Roberts, 2011;Koenig, 2002;Lansac-Tôha et al, 2008;Lodi et al, 2014;Lundberg, Ranta, Ripa, & Kaitala, 2000;Ranta et al, 1999;Sheppard et al, 2016). Interestingly, the matrices of environmental and geographic distances were unrelated to each other.…”

Section: And 2e Fromsupporting

confidence: 90%

“…Climatic and hydrological factors have also been recognised as important factors that influence the patterns of the synchrony of plankton populations (Defriez et al, 2016;George, Talling, & Rigg, 2000;Lodi, Velho, Carvalho, & Bini, 2014;Rusak et al, 2008;Xu, Cai, Shao, & Han, 2012). However, these patterns can be strongly influenced by local processes, including variations in limnological characteristics (e.g., Lansac-Tôha et al, 2008).…”

mentioning

confidence: 99%

Environmental distances are more important than geographic distances when predicting spatial synchrony of zooplankton populations in a tropical reservoir

et al. 2018

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Several studies have shown that spatial synchrony, which is defined as the strength of the correlation between time series, is a common pattern that occurs in different regions, types of ecosystems and groups of organisms. In addition to applied research (optimisation of monitoring networks and population persistence), spatial synchrony has important implications for unravelling the processes underlying environmental and biological dynamics. We quantified the levels of synchrony among six sites in a tropical reservoir (Lajes Reservoir, Rio de Janeiro, Brazil) over 85 months (from August 2001 to December 2009) for twelve environmental variables, four broad zooplankton groups (testate amoebae, rotifers, cladocerans and copepods) and 23 abundant taxa. We hypothesised that (a) environmental synchrony would be higher than biological synchrony; (b) high synchrony would be found; and (c) biological synchrony matrices would be positively correlated with environmental synchrony and negatively correlated with both environmental and geographic distances. A strong relationship between biological synchrony and environmental matrices, when compared to geographic distance, would be consistent with the hypothesis that similar environmental variability synchronises the dynamics of local populations (Moran effect). In comparison to previous studies, we found high levels of synchrony. Environmental synchrony was often higher than biological synchrony, which was in line with our expectation and previous findings. The high levels of synchrony found in this study suggest that reservoir zonation was not enough to desynchronise the dynamics at the sites for both environmental and biological variables. Spatial synchrony in zooplankton populations declined more consistently with environmental distance than with geographic distance. Additionally, environmental distances were unrelated to geographic distances. Taken together, these results indicate a preponderant role of the Moran effect. Thus, as synchrony increases extinction rates, we speculate that novel ecosystems may be highly susceptible to regional‐wide changes in environmental factors.

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“…Synchrony in freshwater plankton is well studied via distance-decay and correlation approaches (e.g., Rusak et al 1999;Rusak et al 2008;Seebens et al 2013;Lodi et al 2014) which conflate components of synchrony on different timescales ( Fig. 1).…”

mentioning

confidence: 99%

The dependence of synchrony on timescale and geography in freshwater plankton

Anderson

Sheppard

Walter

et al. 2018

Limnology & Oceanography

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Spatial synchrony is defined by related fluctuations through time in population abundances measured at different locations. The degree of relatedness typically declines with increasing distance between sampling locations. Standard approaches for assessing synchrony assume isotropy in space and uniformity across timescales of analysis, but it is now known that spatial variability and timescale structure in population dynamics are common features. We tested for spatial and timescale structure in the patterns of synchrony of freshwater plankton in Kentucky Lake, U.S.A. We also evaluated whether different mechanisms may drive synchrony and its spatial structure on different timescales. Using wavelet techniques and matrix regression, we analyzed phytoplankton biomass and abundances of seven zooplankton taxa at 16 locations sampled from 1990 to 2015. We found that zooplankton abundances and phytoplankton biomass exhibited synchrony at multiple timescales. Timescale structure in the potential mechanisms of synchrony was revealed primarily through networks of relationships among zooplankton taxa, which differed by timescale. We found substantial interspecific variability in geographic structures of synchrony and their causes: all mechanisms we considered strongly explained geographic structure in synchrony for at least one species, while Euclidean distance between sampling locations was generally less well supported than more mechanistic explanations. Geographic structure in synchrony and its underlying mechanisms also depended on timescale for a minority of the taxa tested. Overall, our results show substantial and complex but interpretable variation in structures of synchrony across three variables: space, timescale, and taxon. It seems likely these aspects of synchrony are important general features of freshwater systems.

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Patterns of zooplankton population synchrony in a tropical reservoir

Cited by 17 publications

References 38 publications

Using geography to infer the importance of dispersal for the synchrony of freshwater plankton

Using geography to infer the importance of dispersal for the synchrony of freshwater plankton

Environmental distances are more important than geographic distances when predicting spatial synchrony of zooplankton populations in a tropical reservoir

The dependence of synchrony on timescale and geography in freshwater plankton

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