Feedback Mechanisms Between Cyanobacterial Blooms, Transient Hypoxia, and Benthic Phosphorus Regeneration in Shallow Coastal Environments

Žilius, Mindaugas; Bartoli, Marco; Bresciani, Mariano; Kataržytė, Marija; Ruginis, Tomas; Petkuvienė, Jolita; Lubienė, Irma; Giardino, Claudia; Bukaveckas, Paul A.; Wit, Rutger de; Razinkovas-Baziukas, Artūras

doi:10.1007/s12237-013-9717-x

Cited by 65 publications

(48 citation statements)

References 53 publications

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“…The limitations of our experimental procedure should be taken into account when attempting to translate laboratory results to in situ conditions. Nonetheless, metabolic (O 2 uptake and denitrification) and nutrient flux rates (NH 4 + and DON) measured in this experiment are comparable to those carried out with intact cores (Zilius, 2011;Zilius et al, 2012Zilius et al, , 2014. This suggests that the manipulation we performed did not alter benthic metabolism and that after two days of preincubation the gradients between pore and bottom water were similar to those in situ.…”

Section: Limits and Ecological Relevance Of The Experimental Simulationsupporting

confidence: 79%

“…Treatments with a low and a high level of OM-cyanobacteria enrichment were prepared by adding and mixing 10 and 50 mL of the plankton concentrate to the slurry, respectively. These corresponded to a low (20%) and high (100%) addition of the total particulate OM suspended at the sampling site during the summer bloom of 2011 (77.8 mg L -1 in a 3.4 m deep water column, Zilius et al, 2014), representing 53.3 and 266.5 g dry mass of OM per m 2 surface. The homogenized sediments from the 3 beakers were thereafter transferred each into three transparent cylindrical bottom capped liners (internal diameter 8 cm, 30 cm length) in order to reconstitute three replicates of 10 cm high sediment cores for each treatment.…”

Section: Sediment and Cyanobacteria Collection And Microcosms Set-upmentioning

confidence: 97%

“…During the last five years benthic metabolism and nutrient fluxes have been intensively studied in this lagoon (Zilius, 2011;Zilius et al, 2012Zilius et al, , 2014. The sampling site that was selected for this study is representative of 45% of the lagoon surface and lays within a depositional area with fluffy, inconsistent and frequently resuspended sediments .…”

Section: Sediment and Cyanobacteria Collection And Microcosms Set-upmentioning

confidence: 99%

“…For example, the phytoplankton in the Curonian lagoon (SE Baltic Sea) is dominated by cyanobacteria, representing up to 90% of total chlorophyll a during the summer months, with a high proportion of the nitrogen (N) fixer Aphanizomenon flos-aquae (Pilkaityte and Razinkovas, 2007). Dramatic concentrations, exceeding 200 µg Chl a L -1 , are frequent and spread over 70% of the lagoon surface (Bresciani et al, 2012;Zilius et al, 2014). Cyanobacterial biomass accumulates exponentially during calm weather conditions, and exhibits patterns similar to those of opportunistic macroalgae, with fast growth, lightlimitation, sudden collapse of the production, and dystrophy (Viaroli et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

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Response of sedimentary processes to cyanobacteria loading

2015

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Section: Limits and Ecological Relevance Of The Experimental Simulationsupporting

confidence: 79%

Section: Sediment and Cyanobacteria Collection And Microcosms Set-upmentioning

confidence: 97%

Section: Sediment and Cyanobacteria Collection And Microcosms Set-upmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Response of sedimentary processes to cyanobacteria loading

2015

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“…Nutrients arriving from the lake catchment area can stimulate phytoplankton growth, especially in oligo-mesotrophic lakes (Morabito et al, 2012), and, combined with a seasonal increase in water temperature, it would facilitate D. lemmermannii proliferation (Olrik et al, 2012;Salmaso et al, 2015). Calm conditions are known to be advantageous for buoyant cyanobacteria which move toward the euphotic zone in response to reduced turbulent mixing (Jöhnk et al, 2008;Zilius et al, 2014).…”

Section: Wfd Perspectivementioning

confidence: 99%

Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8

et al. 2018

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For effective lakes' management, highfrequent water quality data on a synoptic scale are essential. The aim of this study is to test the suitability of the latest generation of satellite sensors to provide information on lake water quality parameters for the five largest Italian subalpine lakes. In situ data of phytoplankton composition, chlorophyll-a (chl-a) concentration and water reflectance were used in synergy with satellite observations to map some algal blooms in 2016. Chl-a concentration maps were derived from satellite data by applying a bio-optical model to satellite data, previously corrected for atmospheric effects. Results were compared with in situ data, showing good agreement. The shape and magnitude of water reflectance from different satellite data were consistent. Output chl-a concentration maps, show the distribution within each lake during blooming events, suggesting a synoptic view is required for these events monitoring. Maps show the dynamic of bloom events with concentration increasing from 2 up to 7 mg m -3 and dropping again to initial value in less than 20 days. Latest generation sensors were shown to be valuable tools for lakes monitoring, thanks to frequent, free of charge data availability over long time periods.

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Environmental drivers of cyanobacterial abundance and cyanotoxin production in backwaters of the Upper Mississippi River

Giblin

Larson

King

2022

River Research & Apps

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High densities of cyanobacteria in aquatic ecosystems can cause impacts to ecosystem services because they serve as a poor-quality food resource, produce toxins and can indirectly cause a variety of other negative impacts to water quality. There are many hypotheses about the potential environmental drivers of variation in cyanobacterial abundance and toxicity, but these hypotheses have rarely been considered in combination and rarely been examined in large river ecosystems. Here, we use monthly data from backwater habitats of the Upper Mississippi River (UMR) to evaluate associations between environmental conditions and cyanobacterial abundance and toxicity (microcystin and anatoxin-a) that would be expected based on several hypotheses. Backwaters in the Mississippi River vary in flushing rate, temperature, turbidity, nutrient availability, water depth, and vegetative cover. We find support for hypotheses that suggest physical conditions in backwaters (flushing rate, temperature, turbidity, rooted vegetation cover, and water depth) and nutrient availability influence cyanobacterial abundance and toxicity. We then used structural equation modeling to incorporate several hypotheses into a causal modeling framework, which indicated that backwater connectivity (flushing) strongly influences cyanobacterial abundance via the regulation of water temperature, and that nutrient availability strongly influences the presence of microcystin concentrations above our detection limit. Our data suggest that management of backwater connectivity could influence cyanobacterial abundance and toxicity in UMR backwaters.Reconnecting backwaters (via alteration of levees) could serve as a local adaptation to minimize the effects of climate change and excessive nutrient loading.

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Feedback Mechanisms Between Cyanobacterial Blooms, Transient Hypoxia, and Benthic Phosphorus Regeneration in Shallow Coastal Environments

Cited by 65 publications

References 53 publications

Response of sedimentary processes to cyanobacteria loading

Response of sedimentary processes to cyanobacteria loading

Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8

Environmental drivers of cyanobacterial abundance and cyanotoxin production in backwaters of the Upper Mississippi River

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