Meteorological drivers and ENSO influence on phytoplankton biomass dynamics in a shallow subtropical lake

2021 ◽  
Vol 193 (8) ◽  
Author(s):  
Andressa da Rosa Wieliczko ◽  
Luciane Oliveira Crossetti ◽  
J. Rafael Cavalcanti ◽  
Mônica Silveira Hessel ◽  
David da Motta-Marques ◽  
...  
Keyword(s):  
Phytoplankton Biomass ◽  
Subtropical Lake ◽  
Biomass Dynamics

Equilibrium Models for Seasonal Dynamics of Plankton Biomass in Four Oligotrophy Lakes

1987 ◽  
Vol 44 (5) ◽  
pp. 1002-1017 ◽  
Author(s):  
Carl J. Walters ◽  
Edith Krause ◽  
William E. Neill ◽  
Thomas G. Northcote
Keyword(s):  
Phytoplankton Biomass ◽  
Zooplankton Biomass ◽  
Seasonal Cycles ◽  
Zooplankton Grazing ◽  
Metabolic Rates ◽  
Phytoplankton Productivity ◽  
Plankton Biomass ◽  
Recovery Times ◽  
Biomass Dynamics ◽  
Coastal British Columbia

Plankton biomass dynamics were monitored over an 11-yr period in four coastal British Columbia lakes while they were disturbed by salmonid introductions, fertilization, and zooplankton harvesting. Except for dramatic zooplankton responses to fertilization, the lakes had relatively simple and stable seasonal biomass patterns, with midsummer zooplankton peaks and no clear seasonal cycles in biomass of unicellular phytoplankton. Simple models predict that equilibrium biomasses should follow the observed pattern, provided zooplankton grazing and metabolic rates are temperature independent; experimental measurements of these rates did not show clear temperature dependence. Enclosure studies showed that phytoplankton biomass can return quickly (48 – 72 h) to equilibrium after disturbance, but zooplankton biomass responds more slowly (2- to 3-wk recovery times), yet fast enough to track a seasonally varying equilibrium. We conclude that the biomass equilibrium of unicellular phytoplankton is set by grazing and metabolic rates of zooplankton, while the zooplankton biomass equilibrium is set by phytoplankton productivity.

Abiotic and biotic controls of phytoplankton biomass dynamics in a freshwater tributary, estuary, and large lake ecosystem: Sandusky Bay (Lake Erie) chemostat

Inland Waters ◽  
2017 ◽  
Vol 7 (4) ◽  
pp. 473-492 ◽  
Author(s):  
Joseph D. Conroy ◽  
Douglas D. Kane ◽  
Erin L. Quinlan ◽  
William J. Edwards ◽  
David A. Culver
Keyword(s):  
Phytoplankton Biomass ◽  
Lake Erie ◽  
Lake Ecosystem ◽  
Large Lake ◽  
Biomass Dynamics ◽  
Biotic Controls

scholarly journals A Trait-Based Clustering for Phytoplankton Biomass Modeling and Prediction

Diversity ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 295
Author(s):  
Crispin M. Mutshinda ◽  
Zoe V. Finkel ◽  
Claire E. Widdicombe ◽  
Andrew J. Irwin
Keyword(s):  
Phytoplankton Biomass ◽  
Environmental Changes ◽  
Community Response ◽  
Total Biomass ◽  
Prediction Errors ◽  
Functional Type ◽  
Modeling And Prediction ◽  
Functional Types ◽  
Biomass Dynamics

When designing models for predicting phytoplankton biomass or characterizing traits, it is useful to aggregate the myriad of species into a few biologically meaningful groups and focus on group-level attributes, the common practice being to combine phytoplankton species by functional types. However, biogeochemists and plankton ecologists debate the most applicable grouping for describing phytoplankton biomass patterns and predicting future community structure. Although trait-based approaches are increasingly being advocated, methods are missing for the generation of trait-based taxa as alternatives to functional types. Here we introduce such a method and demonstrate the usefulness of the resulting clustering with field data. We parameterize a Bayesian model of biomass dynamics and analyze long-term phytoplankton data collected at Station L4 in the Western English Channel between April 2003 and December 2009. We examine the tradeoffs encountered regarding trait characterization and biomass prediction when aggregating biomass by (1) functional types, (2) the trait-based clusters generated by our method, and (3) total biomass. The model conveniently extracted trait values under the trait-based clustering, but required well-constrained priors under the functional type categorization. It also more accurately predicted total biomass under the trait-based clustering and the total biomass aggregation with comparable root mean squared prediction errors, which were roughly five-fold lower than under the functional type grouping. Although the total biomass grouping ignores taxonomic differences in phytoplankton traits, it predicts total biomass change as well as the trait-based clustering. Our results corroborate the value of trait-based approaches in investigating the mechanisms underlying phytoplankton biomass dynamics and predicting the community response to environmental changes.

scholarly journals High chlorophyll a concentration in a low nutrient context: discussions in a subtropical lake dominated by Cyanobacteria

2016 ◽  
Author(s):  
Mariana C. Hennemann ◽  
Mauricio M. Petrucio
Keyword(s):  
Water Quality ◽  
Chlorophyll A ◽  
Phytoplankton Biomass ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Cylindrospermopsis Raciborskii ◽  
P Availability ◽  
Chlorophyll A Concentration ◽  
Subtropical Lake ◽  
Total P

<p>Temporal variability in some water quality parameters can play an important role in determining the presence and abundance of primary producers, and consequently in the trophic state and other characteristics and uses of lake ecosystems. In this sense, the present study aimed at understanding temporal dynamics of some trophic relevant water quality parameters in different time scales and their correlation and influence in phytoplankton biomass (chlorophyll <em>a</em>) in a shallow subtropical coastal lake. Peri Lake is located in Florianópolis island in Southern Brazil and samples were taken monthly between March 2007 and February 2013. The lake showed low dissolved nutrients concentration, especially phosphorus (P) (median dissolved P: 2.0 µg.l<sup>-1</sup>)  and high chlorophyll <em>a</em> (median: 20.8 µg.l<sup>-1</sup>) concentration. Total nitrogen (TN) concentration varied broadly, with a median of 672.8 µg L<sup>-1</sup>, and total P (TP) concentration was low (median: 13.5 µg L<sup>-1</sup>). A seasonal pattern of variation concerning dissolved and total P and chlorophyll a concentration was observed, associated mainly with temperature and wind speeds, but no clear pattern was observed for nitrogen (N) fractions. Significant differences were observed in different years for some parameters, with higher chlorophyll a and lower N concentration in the last three years sampled. The lake was considered potentially P limited during the majority of the study period and a positive correlation was found between chlorophyll <em>a</em> and total and dissolved P concentration. Phytoplankton biomass (as chlorophyll <em>a</em>) was apparently controlled by water temperature and P availability (TN:TP ratio and dissolved P). Water transparency (as Secchi depth) was strongly and negatively influenced by chlorophyll <em>a</em> concentration. <em>Cylindrospermopsis raciborskii</em> abilities to compete for P and light seem to be important factors determining its success and dominance in this low P coastal ecosystem. The fluctuating P supply, probably associated to sediment resuspension by wind in this shallow waterbody, is an advantageous factor for cyanobacteria and has an important role in chlorophyll <em>a</em> dynamics. Thus, high chlorophyll <em>a</em> concentration in this subtropical lake seems to be related to the P-limited condition, shallowness and low water column transparency, which are probably favouring the dominance of <em>C. raciborskii</em>, especially in higher summer temperatures, and leading to high chlorophyll <em>a</em> concentration even in a low dissolved nutrient environment.</p>

In Vivo Fluorescence of Chlorophyll A: Estimation of Phytoplankton Biomass and Activity in Římov Reservoir (Czech Republic)

1993 ◽  
Vol 28 (6) ◽  
pp. 29-33 ◽  
Author(s):  
V. Vyhnálek ◽  
Z. Fišar ◽  
A. Fišarová ◽  
J. Komárková
Keyword(s):  
Czech Republic ◽  
Chlorophyll Fluorescence ◽  
Primary Production ◽  
Chlorophyll A ◽  
Phytoplankton Biomass ◽  
In Vivo Fluorescence ◽  
Fluorescence Of Chlorophyll A ◽  
Římov Reservoir ◽  
Natural Phytoplankton

The in vivo fluorescence of chlorophyll a was measured in samples of natural phytoplankton taken from the Římov Reservoir (Czech Republic) during the years 1987 and 1988. The fluorescence intensities of samples either with or without addition of 3-(3,4-dichlorophenyl)-1,1-dimethylurea (diuron, DCMU) were found reliable for calculating the concentration of chlorophyll a during periods when cyanobacteria were not abundant. The correction for background non-chlorophyll fluorescence appeared to be essential. No distinct correlation between a DCMU-induced increase of the fluorescence and primary production of phytoplankton was found.

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