Literature DB >> 15568041

High frequency monitoring reveals phytoplankton dynamics.

George B J Dubelaar1, Paul J F Geerders, Richard R Jonker.   

Abstract

Phytoplankton is an important water quality indicator because of its high species differentiation, growth rates and responsiveness to environmental actuators. The new European Water Framework Directive calls for assessment of the duration, intensity and succession of phytoplankton blooms to determine the ecological status of various types of waters. For common phytoplankton growth rates basic signal processing theory yields a minimum monitoring frequency of once per day, which is much more than applied in standard practice. To assess the nature of this discrepancy we followed the behaviour of about 40 groups of organisms/particles found in the Oude Rijn river by a two-week daily cytometric analysis. Particle counts of the 20 most abundant groups are shown. Their variation rate and magnitude confirm that daily sampling is needed to follow such ecosystems in detail. It is shown that limiting the monitoring to the "coarse line" does not allow a correspondingly decreased sampling frequency. Automated systems may fill the gaps between the microscopical examinations by gathering highly frequent information. The information depth of bulk measurements is poor however, and not used as such. The data shown here demonstrate that modern scanning flow cytometry (SFC) offers an information depth close to the taxonomic level. In the past decade, acquisition and operation costs of these systems have come down considerably, whereas operation is hands free, even in situ and submerged, and data analysis has become more efficient. SFC is used most efficiently complementary to microscopical analyses for mutual validation. In these cases it presents a realistic solution to generate the essential high frequency observations required to assess ecosystem variability.

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Year:  2004        PMID: 15568041     DOI: 10.1039/b409350j

Source DB:  PubMed          Journal:  J Environ Monit        ISSN: 1464-0325


  15 in total

1.  Optofluidic characterization of marine algae using a microflow cytometer.

Authors:  Nastaran Hashemi; Jeffrey S Erickson; Joel P Golden; Frances S Ligler
Journal:  Biomicrofluidics       Date:  2011-09-20       Impact factor: 2.800

Review 2.  The good, the bad, and the tiny: a review of microflow cytometry.

Authors:  Daniel A Ateya; Jeffrey S Erickson; Peter B Howell; Lisa R Hilliard; Joel P Golden; Frances S Ligler
Journal:  Anal Bioanal Chem       Date:  2008-01-29       Impact factor: 4.142

3.  Phytoplankton distribution during two contrasted summers in a Mediterranean harbour: combining automated submersible flow cytometry with conventional techniques.

Authors:  Melilotus Thyssen; Beatriz Beker; Dilek Ediger; Doruk Yilmaz; Nicole Garcia; Michel Denis
Journal:  Environ Monit Assess       Date:  2010-03-11       Impact factor: 2.513

4.  Assessing triclosan-induced ecological and trans-generational effects in natural phytoplankton communities: a trait-based field method.

Authors:  Francesco Pomati; Luca Nizzetto
Journal:  Ecotoxicology       Date:  2013-04-06       Impact factor: 2.823

5.  Light limitation increases multidimensional trait evenness in phytoplankton populations.

Authors:  Simone Fontana; Mridul K Thomas; Marta Reyes; Francesco Pomati
Journal:  ISME J       Date:  2019-01-07       Impact factor: 10.302

6.  Individual-level trait diversity predicts phytoplankton community properties better than species richness or evenness.

Authors:  Simone Fontana; Mridul Kanianthara Thomas; Mirela Moldoveanu; Piet Spaak; Francesco Pomati
Journal:  ISME J       Date:  2017-10-03       Impact factor: 11.217

7.  Individual cell based traits obtained by scanning flow-cytometry show selection by biotic and abiotic environmental factors during a phytoplankton spring bloom.

Authors:  Francesco Pomati; Nathan J B Kraft; Thomas Posch; Bettina Eugster; Jukka Jokela; Bas W Ibelings
Journal:  PLoS One       Date:  2013-08-12       Impact factor: 3.240

Review 8.  Opportunities and challenges in deriving phytoplankton diversity measures from individual trait-based data obtained by scanning flow-cytometry.

Authors:  Simone Fontana; Jukka Jokela; Francesco Pomati
Journal:  Front Microbiol       Date:  2014-07-01       Impact factor: 5.640

9.  Consequence of a sudden wind event on the dynamics of a coastal phytoplankton community: an insight into specific population growth rates using a single cell high frequency approach.

Authors:  Mathilde Dugenne; Melilotus Thyssen; David Nerini; Claude Mante; Jean-Christophe Poggiale; Nicole Garcia; Fabrice Garcia; Gérald J Grégori
Journal:  Front Microbiol       Date:  2014-09-15       Impact factor: 5.640

10.  Onset of the spring bloom in the northwestern Mediterranean Sea: influence of environmental pulse events on the in situ hourly-scale dynamics of the phytoplankton community structure.

Authors:  Melilotus Thyssen; Gerald J Grégori; Jean-Michel Grisoni; Maria Luiza Pedrotti; Laure Mousseau; Luis F Artigas; Sophie Marro; Nicole Garcia; Ornella Passafiume; Michel J Denis
Journal:  Front Microbiol       Date:  2014-08-12       Impact factor: 5.640

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