How many seasons are there in a sub-tropical lake? A multivariate statistical approach to determine seasonality and its application to phytoplankton dynamics

Srifa, Akeapot; Phlips, Edward J.; Hendrickson, John

doi:10.1016/j.limno.2016.05.011

Cited by 10 publications

(8 citation statements)

References 58 publications

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“…Lake Nasser is fed by River Nile water heavily loaded with inorganic clay, silt, sand and organic detritus and therefore conductivity increase while transparency decrease (Hussian et al, 2016). High dissolved oxygen levels during the cold season reflected the elevated solubility of oxygen at low temperatures, as well as lower levels of respiration by the plankton community than during the warm season (Srifa et al, 2016). The increased pH in Khor Abu-Simbel may be related to the increase of total phytoplankton biovolume than Khor Ramla and hence increase photosynthesis.…”

Section: Discussionmentioning

confidence: 95%

Phytoplankton heterogeneity in subtropical-semiarid reservoir with special reference to spring cyanobacterial bloom

Kassem

El-Karim

El-Awamri

et al. 2020

Egyptian Journal of Phycology

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Section: Discussionmentioning

confidence: 95%

Phytoplankton heterogeneity in subtropical-semiarid reservoir with special reference to spring cyanobacterial bloom

Kassem

El-Karim

El-Awamri

et al. 2020

Egyptian Journal of Phycology

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“…Cyanobacteria in Lake George display distinct seasonal patterns that diverge from traditional spring–summer–fall–winter variation. Instead, cyanobacteria periodicity in this subtropical, flow-through setting is better explained by “cold” (January–April), “warm” (May–August), and “flushing” (September–December) seasons. , On average, cyanobacteria carbon biomass in Lake George is greatest in the warm season, followed by the flushing season …”

Section: Methodsmentioning

confidence: 99%

“…Instead, cyanobacteria periodicity in this subtropical, flow-through setting is better explained by "cold" (January−April), "warm" (May−August), and "flushing" (September−December) seasons. 27,28 On average, cyanobacteria carbon biomass in Lake George is greatest in the warm season, followed by the flushing season. 27 Data Set.…”

Section: ■ Introductionmentioning

confidence: 99%

Revealing Biotic and Abiotic Controls of Harmful Algal Blooms in a Shallow Subtropical Lake through Statistical Machine Learning

Nelson

Muñoz‐Carpena

Phlips

et al. 2018

Environ. Sci. Technol.

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Harmful algal blooms are a growing human and environmental health hazard globally. Eco-physiological diversity of the cyanobacteria genera that make up these blooms creates challenges for water managers tasked with controlling the intensity and frequency of blooms, particularly of harmful taxa (e.g., toxin producers, N fixers). Compounding these challenges is the ongoing debate over the efficacy of nutrient management strategies (phosphorus-only versus nitrogen and phosphorus), which increases decision-making uncertainty. To improve our understanding of how different cyanobacteria respond to nutrient levels and other biophysical factors, we analyzed a unique 17 year data set comprising monthly observations of cyanobacteria genera and zooplankton abundances, water quality, and flow in a bloom-impacted, subtropical, flow-through lake in Florida (United States). Using the Random Forests machine learning algorithm, an ensemble modeling approach, we characterized and quantified relationships among environmental conditions and five dominant cyanobacteria genera. Results highlighted nonlinear relationships and critical thresholds between cyanobacteria genera and environmental covariates, the potential for hydrology and temperature to limit the efficacy of cyanobacteria bloom management actions, and the importance of a dual nutrient management strategy for reducing bloom risk in the long term.

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“…Nearshore water masses moving southward along the Florida peninsula toward the CCS interact with a number of major inputs from the peninsula, including the St. Johns River (one of Florida's largest rivers) and three inlets to the intracoastal waterway: St. Augustine, Matanzas, and Ponce de Leon (Figure 1). The St. Johns River, and the inner barrier island estuaries linked to the three inlets, are associated with watersheds subject to significant cultural eutrophication and periodic major algal blooms (Scholl et al, 1980;Hendrickson et al, 2002;Phlips et al, 2007Phlips et al, , 2015Phlips et al, , 2021Dix et al, 2013;Srifa et al, 2016;Herren et al, 2021). The St Johns River provides the highest riverine discharges to the eastern coast of Florida (Nordlie, 1990), with the fall demonstrating highest mean discharges within the annual cycle (Srifa et al, 2016).…”

Section: Phytoplankton Biomass Trendsmentioning

confidence: 99%

Seasonality of phytoplankton biomass and composition on the Cape Canaveral shelf of Florida: Role of shifts in climate and coastal watershed influences

Stelling

Phlips²,

Badylak³

et al. 2023

Front. Ecol. Evol.

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Seasonal patterns of phytoplankton biomass and composition in the inner continental shelf off Cape Canaveral on the east coast of Florida were examined for a 6-year period (2013–2019). In situ water samples were collected and analyzed for chlorophyll a, phytoplankton biomass and composition, along with water quality parameters. Regional satellite data on chlorophyll a, and temperature was also obtained from NASA. Average chlorophyll a values over the study period ranged from 0.63 ± 0.03 μg L−1 in the summer to 2.55 ± 0.10 μg L−1 in the fall. Phytoplankton community composition also showed seasonal differences, with persistent dominance by picoplanktonic cyanobacteria in the summer, but mixed dominance by picocyanobacteria and dinoflagellates in the fall. Seasonal differences were attributed to a shift in predominant seasonal wind directions, which drive water along the coast from the north in the fall and winter, but from the south in the spring and summer, including eddies and upwelling from the Gulf Stream. Water masses moving along the Florida coast from the north are influenced by nutrient and phytoplankton-enriched inputs from estuaries along the north coast of Florida, explaining the higher phytoplankton biomass levels on the Cape Canaveral shelf in the fall and winter. Seasonal patterns observed in this study demonstrate the importance of allochthonous influences on phytoplankton biomass and composition, and highlight the potential sensitivity of phytoplankton communities to continuing cultural eutrophication and future climate changes, including the frequency and intensity of tropical storms, and alterations in discharges from land.

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How many seasons are there in a sub-tropical lake? A multivariate statistical approach to determine seasonality and its application to phytoplankton dynamics

Abstract: 2016-11-03T14:11:40

Cited by 10 publications

References 58 publications

Phytoplankton heterogeneity in subtropical-semiarid reservoir with special reference to spring cyanobacterial bloom

Phytoplankton heterogeneity in subtropical-semiarid reservoir with special reference to spring cyanobacterial bloom

Revealing Biotic and Abiotic Controls of Harmful Algal Blooms in a Shallow Subtropical Lake through Statistical Machine Learning

Seasonality of phytoplankton biomass and composition on the Cape Canaveral shelf of Florida: Role of shifts in climate and coastal watershed influences

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