Abstract:The zooplankton community in a relatively small and mountain pond was studied during the spring growing season. To investigate which factors operate in the community structure, we explored several physical conditions, such as high inflows, and the biotic dynamics of the main zooplankton groups (i.e., rotifers, cladocerans and copepods). Two extreme flood events occurred during the investigated period and caused dramatic changes in physical conditions and reduction of the planktonic community abundances. The sh… Show more
“…Rotifers respond more quickly relative to larger zooplankton owing to their short generation times (Gillooly, ), better colonising abilities (Gabaldón et al., ), and their adaptability to short‐term environmental variability (Balkić, Ternjej, & Špoljar, ). Water‐level fluctuations affect rotifers (Frutos et al., ); they are expected to dominate after a high‐water period, recolonising the water column, reaching peak densities and reproducing rapidly at the expense of other species (Dickman, ; Frutos et al., ; Gabaldón et al., ). Three testate amoebae species had their density peaks coinciding mainly with the flood period pre‐dam when, in general, the other zooplankton groups were at their lowest densities.…”
Section: Discussionmentioning
confidence: 99%
“…In unimpounded ecosystems, the natural water flow and hydrological periods of floodplains can positively influence the diversity of aquatic organisms through the interaction of several factors that act at different spatial and temporal scales (Bunn & Arthington, ). For example, the natural flooding process reduces the interaction between organisms through dilution (Angeler, Alvarez‐Cobelas, Rojo, & Sánchez‐Carrillo, ; Quintana et al., ), thereby reducing competition and consequently, increasing biodiversity (Gabaldón et al., ). Moreover, flooding of areas adjacent to the main river also provides periodic connectivity between habitats, promoting biotic and abiotic homogenisation and favouring species dispersal (Bunn & Arthington, ), which may also reduce the risk of local extinctions (Braghin et al., ; Thomaz et al., ; Ward, Tockner, & Schiemer, ).…”
Section: Conclusion and Recommendations For Monitoring Programmes In mentioning
confidence: 99%
“…Rotifers usually reached their greatest density and richness values in the low-water period. Rotifers respond more quickly relative to larger zooplankton owing to their short generation times (Gillooly, 2000), better colonising abilities (Gabaldón et al, 2017), and their adaptability to short-term environmental variability (Balkić, Ternjej, & Špoljar, 2018). Water-level fluctuations affect rotifers (Frutos et al, 2006); they are expected to dominate after a high-water period, recolonising the water column, reaching peak densities and reproducing rapidly at the expense of other species (Dickman, 1969;Frutos et al, 2006;Gabaldón et al, 2017).…”
Section: Interaction Of Damming With Hydrological Periodmentioning
confidence: 99%
“…In unimpounded ecosystems, the natural water flow and hydrological periods of floodplains can positively influence the diversity of aquatic organisms through the interaction of several factors that act at different spatial and temporal scales (Bunn & Arthington, 2002). For example, the natural flooding process reduces the interaction between organisms through dilution (Angeler, Alvarez-Cobelas, Rojo, & Sánchez-Carrillo, 2000;Quintana et al, 2006), thereby reducing competition and consequently, increasing biodiversity (Gabaldón et al, 2017).…”
Section: Conclusion and Recommendations For Monitoring Programmes Imentioning
Flow modification of lotic ecosystems is one of the main threats to global freshwater biodiversity. Commonly, and in the river studied here, modification results from hydroelectric dam installation.
We evaluated the impacts of damming on zooplankton communities in the Amazonian floodplain of the Madeira River (Porto Velho, Rondônia, Brazil) following construction in 2012 of the run‐of‐river dam of Jirau Hydroelectric Power Plant. Using data sampled between 2009 and 2015, we tested for discontinuities in zooplankton community composition attributable to damming and the naturally occurring flood pulse.
The flood pulse remained the main predictor explaining variation in zooplankton community structure even with the installation of the dam on the Madeira River. Despite this, discontinuities for the entire zooplankton community and for the main compositional groups (testate amoebae, rotifers, cladocerans, and copepods) were detected in relation to the dam (pre‐/post‐dam periods), mainly in ebb and low water, and with weaker evidence of dam effects during flood and highwater hydrological periods.
A multivariate regression tree explained 9.6% of the variation in zooplankton communities and identified four groups: (1) flood and high‐water periods; (2) low water post‐dam; (3) low water pre‐dam; and (4) ebb hydrological periods. The deviance in each multivariate regression tree node was attributable to variation in eight rotifer, three testate amoeba, and three copepod taxa.
Our study demonstrates that the flood pulse, dam construction, and interaction between both of these factors affect zooplankton community structure in the Madeira River. While for many zooplankton community variables, effects occurred mainly during ebb and low‐water periods, some effects were also observed during high water and flood periods. We thus recommend the establishment of a permanent environmental monitoring programme during all hydrological periods in tropical floodplain rivers and the addition of sampling sites downstream from dams.
Many rivers in the world are increasingly disrupted by multiple dams, yet little is known of their effects, especially for run‐of‐river dams. Our study identified short‐term impacts of only one run‐of‐river dam on zooplankton communities. More research is needed on the effects of multiple run‐of‐river dams on zooplankton and other biota, especially in tropical floodplain rivers, so that negative effects can be understood and ameliorated.
“…Rotifers respond more quickly relative to larger zooplankton owing to their short generation times (Gillooly, ), better colonising abilities (Gabaldón et al., ), and their adaptability to short‐term environmental variability (Balkić, Ternjej, & Špoljar, ). Water‐level fluctuations affect rotifers (Frutos et al., ); they are expected to dominate after a high‐water period, recolonising the water column, reaching peak densities and reproducing rapidly at the expense of other species (Dickman, ; Frutos et al., ; Gabaldón et al., ). Three testate amoebae species had their density peaks coinciding mainly with the flood period pre‐dam when, in general, the other zooplankton groups were at their lowest densities.…”
Section: Discussionmentioning
confidence: 99%
“…In unimpounded ecosystems, the natural water flow and hydrological periods of floodplains can positively influence the diversity of aquatic organisms through the interaction of several factors that act at different spatial and temporal scales (Bunn & Arthington, ). For example, the natural flooding process reduces the interaction between organisms through dilution (Angeler, Alvarez‐Cobelas, Rojo, & Sánchez‐Carrillo, ; Quintana et al., ), thereby reducing competition and consequently, increasing biodiversity (Gabaldón et al., ). Moreover, flooding of areas adjacent to the main river also provides periodic connectivity between habitats, promoting biotic and abiotic homogenisation and favouring species dispersal (Bunn & Arthington, ), which may also reduce the risk of local extinctions (Braghin et al., ; Thomaz et al., ; Ward, Tockner, & Schiemer, ).…”
Section: Conclusion and Recommendations For Monitoring Programmes In mentioning
confidence: 99%
“…Rotifers usually reached their greatest density and richness values in the low-water period. Rotifers respond more quickly relative to larger zooplankton owing to their short generation times (Gillooly, 2000), better colonising abilities (Gabaldón et al, 2017), and their adaptability to short-term environmental variability (Balkić, Ternjej, & Špoljar, 2018). Water-level fluctuations affect rotifers (Frutos et al, 2006); they are expected to dominate after a high-water period, recolonising the water column, reaching peak densities and reproducing rapidly at the expense of other species (Dickman, 1969;Frutos et al, 2006;Gabaldón et al, 2017).…”
Section: Interaction Of Damming With Hydrological Periodmentioning
confidence: 99%
“…In unimpounded ecosystems, the natural water flow and hydrological periods of floodplains can positively influence the diversity of aquatic organisms through the interaction of several factors that act at different spatial and temporal scales (Bunn & Arthington, 2002). For example, the natural flooding process reduces the interaction between organisms through dilution (Angeler, Alvarez-Cobelas, Rojo, & Sánchez-Carrillo, 2000;Quintana et al, 2006), thereby reducing competition and consequently, increasing biodiversity (Gabaldón et al, 2017).…”
Section: Conclusion and Recommendations For Monitoring Programmes Imentioning
Flow modification of lotic ecosystems is one of the main threats to global freshwater biodiversity. Commonly, and in the river studied here, modification results from hydroelectric dam installation.
We evaluated the impacts of damming on zooplankton communities in the Amazonian floodplain of the Madeira River (Porto Velho, Rondônia, Brazil) following construction in 2012 of the run‐of‐river dam of Jirau Hydroelectric Power Plant. Using data sampled between 2009 and 2015, we tested for discontinuities in zooplankton community composition attributable to damming and the naturally occurring flood pulse.
The flood pulse remained the main predictor explaining variation in zooplankton community structure even with the installation of the dam on the Madeira River. Despite this, discontinuities for the entire zooplankton community and for the main compositional groups (testate amoebae, rotifers, cladocerans, and copepods) were detected in relation to the dam (pre‐/post‐dam periods), mainly in ebb and low water, and with weaker evidence of dam effects during flood and highwater hydrological periods.
A multivariate regression tree explained 9.6% of the variation in zooplankton communities and identified four groups: (1) flood and high‐water periods; (2) low water post‐dam; (3) low water pre‐dam; and (4) ebb hydrological periods. The deviance in each multivariate regression tree node was attributable to variation in eight rotifer, three testate amoeba, and three copepod taxa.
Our study demonstrates that the flood pulse, dam construction, and interaction between both of these factors affect zooplankton community structure in the Madeira River. While for many zooplankton community variables, effects occurred mainly during ebb and low‐water periods, some effects were also observed during high water and flood periods. We thus recommend the establishment of a permanent environmental monitoring programme during all hydrological periods in tropical floodplain rivers and the addition of sampling sites downstream from dams.
Many rivers in the world are increasingly disrupted by multiple dams, yet little is known of their effects, especially for run‐of‐river dams. Our study identified short‐term impacts of only one run‐of‐river dam on zooplankton communities. More research is needed on the effects of multiple run‐of‐river dams on zooplankton and other biota, especially in tropical floodplain rivers, so that negative effects can be understood and ameliorated.
“…Vertical profiles of the physicochemical characteristics of the water column (temperature, pH, oxygen; GRYF XBQ4, Havlíčkův Broc, CZ) and chlorophyll a (FluoroProbe TS-16-12, bbe Moldaenke, Kiel, Germany) were also taken. Site II: Jiřická pond (Czech Republic, 48.616034 N 14.676594 E) with 0.0356 km 2 , volume 6.59 x10 3 m 3 , pH 5.6-6.2, maximum depth 3.7 m, retention time ~5-7 days, dystrophic, located in the Novohradské mountains of Southern Bohemia [21]. Five samples were collected from the epilimnion (0.5m) from May 2016 to August 2017.…”
19The persistent inertia in the ability to culture environmentally abundant microbes from aquatic 20 ecosystems represents an obstacle in disentangling the complex web of ecological 21 interactions spun by a diverse assortment of participants (pro-and eukaryotes and their 22 viruses). In aquatic microbial communities, the numerically most abundant actors, the 23 viruses, remain the most elusive, and especially in freshwaters their identities and ecology 24 remain obscure. Here, using ultra-deep metagenomic sequencing from freshwater habitats Supplementary Table S1). While most samples we sequenced were ca. 54 Gb in size 87 (ranging from 190-482 million reads, average 368 million reads), two Římov samples (epi 88 and hypolimnion) we sequenced ca. 380 Gb each (2.5 billion reads each). An overview of the 89 microbial community using 16S rRNA abundances for both sites is shown in Supplementary 90 Figure S2.
91We also collected an additional 149 publicly available freshwater metagenomes 92 ( Supplementary Table S1, total of 4.04 billion reads, 1.09 Tb data) to search for complete 93 phage genomes. All datasets were assembled independently (no co-assembly). In total, we 94 analyzed ca. 3 Tb of metagenomic sequences from freshwater (ca. 17 billion reads).
95The number of complete phage genomes recovered from any sample increased with 96 sequencing depth, but with diminishing returns (Figure 1a), with genome recovery 97 maintaining linearity up to 100 Gb (ca. 1 phage genome for every additional Gb) before 98 tapering off at a maximum of 160 genomes from 400 Gb sequence data. While a total of 99 1677 genomes were assembled from the sequence data generated from the two study sites,
100(Římov and Jiřická), 357 genomes were recovered from all other available freshwater 101 metagenomes. This suggests that the potential of ultra-deep sequencing to recover far more 102 phage genomes has not yet been fully realized. We also recovered a number of 103 metagenome-assembled genomes (MAGs) from the Římov metagenome time-series dataset 104 (see below). We denominate this entire collection of genomes as the Uncultured Freshwater 105 Organisms (UFO) dataset, where the UFOv subset refers to viruses and the UFOp subset to 106 prokaryotic genomes.
107Phage genome analyses 108 A total of 598 complete phage genomes were recovered from the Římov epilimnion (10 109 samples), 800 from the hypolimnion (8 samples) and 279 from Jiřická (5 samples). Upon 110 dereplication (genomes with >95% identity and >95% coverage treated as one, see 111 methods), these numbers reduced by nearly three-fold for the hypolimnion suggesting 112 repeated capture of nearly identical genomes from multiple samplings. We found only a 113 single instance of a phage that was nearly identical in two habitats (Římov and Jiřická).
114The comparison of recovered freshwater phage genomes to representative sets of phages 115 from Viral RefSeq (1996 genomes) and the marine habitat (1335 genomes) [23-25] is shown 116 in Fig. 1c. Intriguingly, the genome size distributions of marin...
Dormant propagules can provide a rapid colonization source for temporary aquatic habitats and set the trajectory for community dynamics, yet the egg banks of stormwater management systems have received little attention. We asked which species hatched from the sediment of drainage ditches in Champaign County, IL, and found bdelloid rotifers and ostracods (Heterocypris incongruens) to be the most common taxa. These sites also are colonized by mosquitoes, and we established laboratory experiments to examine interspecific interactions between common co‐occurring taxa. Culex restuans larvae were reared in the presence or absence of H. incongruens at two intra‐ and interspecific densities (20 or 40 total individuals) and their survivorship to adulthood, development time to adulthood, adult body size, and sex ratio were determined. Survival for Cx. restuans was significantly lower at high larval density than at low larval density in both treatments. Culex restuans larvae reared in the presence of H. incongruens had a shorter development time to adulthood and emerged as larger adults compared to those reared in the absence of H. incongruens. The sex ratios in the H. incongruens treatments were female‐biased whereas those in the Culex‐only treatments were male‐biased. These differences may have epidemiological implications, as only female mosquitoes serve as disease vectors. Our results emphasize the importance of understanding interspecific interactions in influencing larval mosquito development traits.
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