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. 2020 May 5:8:e8979.
doi: 10.7717/peerj.8979. eCollection 2020.

A long-term study on zooplankton in two contrasting cascade reservoirs (Iguaçu River, Brazil): effects of inter-annual, seasonal, and environmental factors

Affiliations

A long-term study on zooplankton in two contrasting cascade reservoirs (Iguaçu River, Brazil): effects of inter-annual, seasonal, and environmental factors

Pablo H S Picapedra et al. PeerJ. .

Abstract

Background: In reservoirs, zooplankton strongly interact with the physical and chemical characteristics of water, and this interaction is mainly influenced by climate variation and the different methods used to manage the dam water level. Therefore, the aim of this study was to evaluate how the distinct operating modes of two cascade reservoirs affected the richness, abundance, and composition of zooplankton, both spatially (intra and inter-reservoirs) and temporally (annual and seasonal). In this study, the upstream reservoir (Salto Santiago) operates using the storage method, with a water retention time (WRT) of 51 days, whereas the downstream reservoir (Salto Osório) operates using the run-of-river method, with a WRT of 16 days.

Methods: Zooplankton samples were collected for 16 consecutive years from the two reservoirs located on the Iguaçu River, Brazil. A total of 720 samples were collected. Four-way ANOVAs were used to determine the differences in richness and abundance of the zooplankton among years, periods, reservoirs, and environments. Multidimensional non-metric scaling (NMDS) and an analysis of similarities (ANOSIM) were used to describe similarity patterns in species composition. Finally, a canonical correspondence analysis (CCA) was used to select the environmental predictors that best explained the variation in zooplankton abundance data.

Results: We identified a total of 115 taxa in this study, and rotifers were the richest group. In contrast, the copepods were the most abundant. The four-way ANOVA results showed significant differences in the species richness and abundance of the zooplankton among years, periods, reservoirs, and environments. The NMDS ordination and ANOSIM test indicated that the largest differences in zooplankton species composition were annual and seasonal differences. Finally, the CCA showed that these differences were mainly associated with changes in water transparency, temperature, and the chlorophyll a, phosphorus, and total dissolved solids concentrations.

Discussion: Inter-annual changes in zooplankton species composition showed that over time, large filters-feeders (e.g., large daphinids and calanoid copepods) were replaced by small cladocerans (e.g., bosminids) and generalist rotifers. The highest species richness was associated with the fluvial environment, whereas the highest abundance was associated with the transitional and lacustrine reservoir environments. Variations in water temperature, nutrients, and food availability explained the annual and seasonal changes in community structure, whereas variations in the water flow characteristics of the environments explained the longitudinal changes in the richness and abundance of zooplankton in reservoirs. The differences in zooplankton structure between the two reservoirs can be explained by the functional differences between the two systems, such as their WRTs and morphometrics.

Keywords: Cladocerans; Copepods; Dam construction; Nutrients content; Plankton dynamics; Reservoir cascade; Reservoir management; Rotifers; Run-of-river reservoir; Storage reservoir.

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Conflict of interest statement

The authors declare there are no competing interests.

Figures

Figure 1
Figure 1. Map of the Salto Santiago and Salto Osório reservoirs, and the sampling sites in the Iguaçu River, Brazil.
Environments: fluvial (S1 and S5), transitional (S2 and S6), lacustrine (S3 and S7), and downstream (S4 and S8).
Figure 2
Figure 2. Variation in rainfall and water flow (WF) during the study period for the region.
Region comprised of the Salto Santiago and Salto Osório reservoirs, Iguaçu River, Brazil. Data are the total accumulated rainfall and mean water flow values in the reservoirs during the sampling months.
Figure 3
Figure 3. Trophic state indexes (TSIs).
Mean values of the TSIs calculated for the environments influenced by the (A) Salto Santiago and (B) Salto Osório reservoirs. Horizontal lines indicate the ranges for each trophic state: oligotrophic (O), mesotrophic (M), and eutrophic (E).
Figure 4
Figure 4. Inter-annual variations in the richness and abundance of zooplankton.
Data shows the mean (±SE) richness and abundance values for total zooplankton, rotifers, cladocerans, and copepods in the (A, B) Salto Santiago and (C, D) Salto Osório reservoirs.
Figure 5
Figure 5. Seasonal variations in zooplankton richness and abundance.
Data shows the mean (±SE) richness and abundance of total zooplankton, rotifers, cladocerans, and copepods in the (A, B) Salto Santiago and (C, D) Salto Osório reservoirs.
Figure 6
Figure 6. Spatial variations in the richness and abundance of zooplankton.
Data shows the mean (±SE) richness and abundances of the total zooplankton, rotifers, cladocerans, and copepods in the (A, B) Salto Santiago and (C, D) Salto Osório reservoirs.
Figure 7
Figure 7. Ordination diagrams for the non-metric multidimensional scaling (NMDS) analysis.
Positions respective to the sampling year, period, and environment were used as symbol factors for the zooplankton communities in the (A, C, E) Salto Santiago and (B, D, F) Salto Osório reservoirs.
Figure 8
Figure 8. Zooplankton relative abundances for each year and period.
Percentage contribution of zooplankton species in the mean total abundance of zooplankton in the (A, B) Salto Santiago and (C, D) Salto Osório reservoirs. Only the species that the SIMPER test had shown contributed the most to community temporal variation are shown.
Figure 9
Figure 9. Canonical correspondence analysis (CCA).
The CCA shows the relationships among the environmental variables, zooplankton species, and the environments of the (A, C, E) Salto Santiago and (B, D, F) Salto Osório reservoirs. Open circles (winter), closed circles (summer), chlorophyll a (Chl a), dissolved oxygen (DO), maximum depth (Zmax), Secchi disk depth (ZSD), electrical conductivity (Cond), total dissolved solids (TDS), total nitrogen (TN), total phosphorus (TP), turbidity (Turb), water temperature (WT), and trophic state index (TSI).

References

    1. Adloff CT, Bem CC, Reichert G, Azevedo JCR. Analysis of the phytoplankton community emphasizing cyanobacteria in four cascade reservoirs system of the Iguazu River, Paraná, Brazil. Brazilian Journal of Water Resources. 2018;23:e6. doi: 10.1590/2318-0331.0318170050. - DOI
    1. Agostinho AA, Gomes LC, Santos NCL, Ortega JCG, Pelicice FM. Fish assemblages in Neotropical reservoirs: colonization patterns, impacts and management. Fisheries Research. 2016;173:26–36. doi: 10.1016/j.fishres.2015.04.006. - DOI
    1. Apha-American Public Health Association . Standard methods for the examination water and wastewater. APHA; Washington, D.C.: 2005.
    1. Balkić AG, Ternjej I, Špoljar M. Hydrology driven changes in the rotifer trophic structure and implications for food web interactions. Ecohydrology. 2016;11:e1917. doi: 10.1002/eco.1917. - DOI
    1. Baranyi C, Hein T, Holarek C, Keckeis S, Schiemer F. Zooplankton biomass and community structure in a Danube River floodplain system: effects of hydrology. Freshwater Biology. 2002;47:473–482. doi: 10.1046/j.1365-2427.2002.00822.x. - DOI

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