The Temporal Coherence of Zooplankton Population Abundances in Neighboring North-Temperate Lakes

Rusak,; Yan, Victoria C.; Somers,; McQueen,

doi:10.2307/2463894

Cited by 31 publications

(56 citation statements)

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“…Thus, our results indicate that reservoir zonation was not enough to minimise the roles of Moran effects (acting at the spatial scale of the reservoir) or dispersal (facilitated by the hydrological connectivity between sampling sites) as synchronising mechanisms. High and low levels of synchrony between particular pairs of sites may, respectively, overemphasise and obscure patterns of synchrony when the number of sites is small (see a similar reasoning in Rusak et al, 1999). However, our results appear to be robust to this issue as indicated by a sensitivity analysis, where each site was removed before estimating the average levels of synchrony (Supporting Information Figure S5).…”

Section: And 2e Fromsupporting

confidence: 51%

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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Section: And 2e Fromsupporting

confidence: 51%

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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“…A silent assumption in correlating zooplankton community structure to environmental variables in such multi-pond observational studies is that all the ponds studied show temporal coherence (i.e., synchronous fluctuations in one or more parameters among locations within a geographic region; Magnuson et al 1990). The literature, however, shows conflicting evidence: both no correlation and positive correlations among lakes were observed by Kratz et al (1987) and Rusak et al (1999) for some species, on a yearly scale, and by George et al (2000) for total summer zooplankton abundances on a seasonal scale.…”

Section: Discussionmentioning

confidence: 94%

Zooplankton Metacommunity Structure: Regional vs. Local Processes in Highly Interconnected Ponds

Cottenie

Michels

Nuytten

et al. 2003

Ecology

360

351

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Local communities can be structured by both local interactions (competition, predation, environmental variables, etc.) and by regional interactions (dispersal of individuals between habitats). Using data from a three‐year study on 34 neighboring ponds in an interconnected pond system, we tested whether zooplankton communities show a metacommunity structure, how much variation in zooplankton community structure is related to local environmental factors vs. spatial configuration (taking into account the dispersal pathways), and what environmental variables are the locally structuring forces. In three different years, we found evidence for a metacommunity structure. We also found that spatial and environmental components act independently of each other due to the small geographic area and the high dispersal rates in this system. Despite these homogenizing forces, local environmental variables (associated with alternative equilibria in shallow lakes) were strongly related with zooplankton community structure in the studied years. This suggests that, even in this system of highly interconnected ponds, local environmental constraints can be strong enough to structure local communities. Corresponding Editor: P. Legendre.

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“…Synchrony was calculated as the Pearson product-moment correlation coefficient (r) between time series of data for each site paired with the main channel (sites responding similarly to the main channel will have high values, close to 1). To avoid bias from differences in ranges of water-level fluctuations, all time-series data were Z-transformed to standardise variances (Rusak et al, 1999). Plots of daily fluctuations and normalised depth plots were used to visually investigate the patterns in water-level fluctuations.…”

Section: Hydrological Connectivitymentioning

confidence: 99%

Beavers (Castor canadensis) influence habitat for juvenile salmon in a largeAlaskan river floodplain

et al. 2014

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Summary Our aim was to determine how beavers affect habitats and food resources for juvenile salmon in the Kwethluk River in western Alaska. Habitat modification by beavers was quantified using 3 years of satellite imagery to assess the amount and spatial distribution of potential juvenile rearing habitat. Macroinvertebrate community composition and juvenile salmon abundance in beaver ponds, spring brooks with and without upstream beaver dams, and main channel shorelines were quantified to determine beaver influence. Presence of beaver dams and time‐series measures of water levels were used to assess hydrological connectivity and fish access between the sites and the river as modified by beavers. Of the off‐channel aquatic habitat, 87.5% was altered by beavers damming spring brooks. All beaver‐free and beaver‐influenced juvenile salmon habitats had similar physical characteristics [by non‐metric multidimensional scaling (NMDS) ordination], indicating that all are suitable as juvenile salmon rearing habitat. Aquatic macroinvertebrate community composition differed between beaver ponds and spring brooks (by NMDS ordination) with differences driven by larval stoneflies in spring brooks compared to cladocerans, copepods and freshwater clams in beaver ponds. Chinook (Oncorhynchus tshawytscha) and coho (O. kisutch) salmon were predominant in all habitat types except late‐successional ponds. Total fish species and salmon species richness was 2–3× higher, the proportion of young‐of‐the‐year salmon was over 50% compared to <5%, and densities of juvenile salmon were 5–7× higher in spring brooks and early‐successional ponds compared to late‐successional ponds. Early‐successional ponds had high hydrological synchrony values (closely tracking water fluctuations in the main channel), while mid‐ and late‐successional ponds, being farther from the main channel and with more dams blocking flow paths, had lower and highly variable synchrony values. Almost no movement of juvenile salmon occurred past dams at base flow. However, summer and autumn flooding mediated movement past dams, allowing individuals to ‘escape’ or enter early‐successional ponds. Beavers reduced habitat connectivity and added variability to macroinvertebrate assemblages within habitats by damming floodplain spring brooks. Nonetheless, juvenile salmon were able to effectively inhabit and move between early‐successional ponds and spring brooks in the Kwethluk River, although the presence of beaver dams strongly limited the use of late‐successional ponds on the large alluvial river floodplain.

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The Temporal Coherence of Zooplankton Population Abundances in Neighboring North-Temperate Lakes

Cited by 31 publications

References 0 publications

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

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

Zooplankton Metacommunity Structure: Regional vs. Local Processes in Highly Interconnected Ponds

Beavers (Castor canadensis) influence habitat for juvenile salmon in a largeAlaskan river floodplain

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