Environmental window of cyanobacteria bloom occurrence

Beltran-Pérez, Oscar Dario; Waniek, Joanna J

doi:10.1016/j.jmarsys.2021.103618

Cited by 13 publications

(4 citation statements)

References 44 publications

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“…Cyanobacteria blooms do not tolerate turbulence so calm wind conditions and a strongly stratified water column favor their development resulting in longer blooms (Table 5). These results are supported by Beltran-Perez and Waniek (2021) who demonstrated that the phenology of cyanobacteria blooms is explained by the energy exchange between the atmosphere and the ocean. Only a few studies have highlighted the role of energy exchange at the ocean-atmosphere interface that regulates mixing in the water column in the context of phenology studies so far (Gittings et al, 2018;Beltran-Perez and Waniek, 2021).…”

Section: Discussionsupporting

confidence: 71%

“…For this reason we included a trend analysis to make it more robust and comparable with other studies. Overall, the spring bloom begins on day 84 ± 6 ( ± 6 refers to standard deviation) and ends on day 128 ± 9 (Groetsch et al, 2016), while the summer bloom begins on day 168 ± 16 and declines after day 209 ± 13 (Beltran-Perez and Waniek, 2021). The onset of the bloom was defined as the time when the biomass is above the threshold for the first time.…”

Section: Phenology Metricsmentioning

confidence: 99%

“…Cyanobacteria blooms give rise to environmental concern due to their ability to fix molecular nitrogen from the atmosphere and the production of toxins by some species that may lead to the death of mammals, fish and filtering organisms in the water (Paerl, 2014). Cyanobacteria blooms usually begin in June and reach their maximum biomass during July and August (Kahru et al, 2020;Beltran-Perez and Waniek, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Usually phenological studies and models include temperature, solar radiation and wind among other factors as the main bloom drivers, but not heat flux. It has recently been observed that heat flux plays an important role in bloom phenology (Gittings et al, 2018;Beltran-Perez and Waniek, 2021). Our model seeks to define the influence of atmospheric forcing on bloom phenology.…”

Section: Introductionmentioning

confidence: 99%

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Inter-Annual Variability Of Spring And Summer Blooms In The Eastern Baltic Sea

Beltran-Pérez

Waniek

2022

Front. Mar. Sci.

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Changes in environmental conditions may have an effect on the occurrence and intensity of phytoplankton blooms. However, few studies have been carried out on this subject, mainly due to the lack of long-term in situ observations. We study the inter-annual variability and phenology of spring and summer blooms in the eastern Baltic Sea using a physical-biological model. The one-dimensional NPZD model simulates the development of both blooms in the water column with realistic atmospheric forcing and initial conditions representative of the eastern Baltic Sea between 1990 and 2019. On average, the spring bloom started on day 85 ± 7, reached its maximum biomass on day 115 ± 6 and declined after day 144 ± 5. The summer bloom started on day 158 ± 5, had its maximum biomass on day 194 ± 9 and ended after day 237 ± 8. The results showed that the summer bloom occurs 9 days earlier and last 15 days longer over the 30-year simulation period, but changes in the phenology of the spring bloom were not statistically significant. There is strong evidence that warmer periods favor both blooms, but in different ways. Warmer periods caused spring blooms to peak earlier, while summer blooms reached higher abundance. Additionally, a higher energy gain by the ocean led to longer summer blooms of greater abundance and higher biomass maxima. Overall, summer blooms are more sensitive to changes in the environment than spring blooms, being therefore more vulnerable to changes generated by climate change in the Baltic Sea.

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Section: Discussionsupporting

confidence: 71%

Section: Phenology Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Inter-Annual Variability Of Spring And Summer Blooms In The Eastern Baltic Sea

Beltran-Pérez

Waniek

2022

Front. Mar. Sci.

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Genes involved in carbon, nitrogen, and sulfur cycling in an important estuarine ecosystem show coherent shifts in response to changes in environmental conditions

Preheim,

Morris,

Zhang

et al. 2024

Limnology & Oceanography

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While metagenomics can provide insight into microbial community metabolic potential, understanding factors that influence gene abundance is necessary to maximize the information gained from this analysis. Gene abundances are influenced by chemical or physical conditions along with other factors, such as copy number variation between taxa, methodological biases, or issues associated with identification and classification. Here, we identify major drivers of spatiotemporal shifts in microbial gene relative abundance from multiple months, sites, and depths within Chesapeake Bay in 2017 using shotgun metagenomics. We compared changes in relative abundance of key genes for bacterial photosynthesis, nitrogen, and sulfur metabolism with each other and measured environmental variables. Major drivers of differences in key metabolic gene abundances are associated with environmental variables that largely change with depth and season (e.g., temperature, oxygen, phosphate). For sulfur oxidation, bacterial photosynthesis, and denitrification, genes within each process are generally significantly correlated with each other and with several environmental variables. For other processes, such as nitrification, nitrogen fixation, and dissimilatory nitrate reduction to ammonium, genes that encode enzymes within the same pathway are not well correlated. The lack of correlation typically results from differences in identified taxa carrying these genes, suggesting modular pathway structure, methodological errors, or discrepancies in gene copy number between taxonomic groups. To be suitable indicators of biogeochemical processes for models, genes or pathways should be strongly correlated with environmental variables and specific to and inclusive of all taxa mediating the associated process.

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A novel cyanobacterial control system design for urban landscape water based on flow field simulation

Huang

Leng

et al. 2022

Int. J. Environ. Sci. Technol.

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Environmental window of cyanobacteria bloom occurrence

Cited by 13 publications

References 44 publications

Inter-Annual Variability Of Spring And Summer Blooms In The Eastern Baltic Sea

Inter-Annual Variability Of Spring And Summer Blooms In The Eastern Baltic Sea

Genes involved in carbon, nitrogen, and sulfur cycling in an important estuarine ecosystem show coherent shifts in response to changes in environmental conditions

A novel cyanobacterial control system design for urban landscape water based on flow field simulation

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