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  • Articles  (5)
  • Wiley  (5)
  • American Chemical Society
  • Frontiers Media
  • ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft Kiel, Hamburg
  • Geography  (5)
  • 1
    Publication Date: 2013-11-28
    Description: [1]   Chiswell [2013] suggests that some of the conclusions drawn by Behrenfeld et al . [2013] are likely erroneous because of (1) the method used to calculate specific net biomass accumulation rates ( r ; d -1 ) over the seasonal cycle, (2) inconsistencies in the calculation of r and phytoplankton specific cell division rate, μ (d -1 ), and (3) uncertainties in the extrapolation of satellite data to the depth of the seasonal thermocline. Each of these concerns is addressed in the following subsections. We begin with a simple culture-based analogy that clarifies why switching between concentration-based and inventory-based expressions is required for calculating r when the mixed layer varies between shoaling and deepening conditions. This analogy is followed by a more specific mathematical treatment. We then explain why our previous comparisons between r and μ provide a conservative estimate of predator-prey coupling, followed by a discussion of uncertainties in satellite-based assessments of mixed layer phytoplankton biomass.
    Print ISSN: 0886-6236
    Electronic ISSN: 1944-9224
    Topics: Biology , Chemistry and Pharmacology , Geography , Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
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  • 2
    Publication Date: 2013-05-22
    Description: [1]  Satellite measurements allow global assessments of phytoplankton concentrations and, from observed temporal changes in biomass, direct access to net biomass accumulation rates ( r ). For the subarctic Atlantic basin, analysis of annual cycles in r reveal that initiation of the annual blooming-phase does not occur in spring after stratification surpasses a critical threshold, but rather in early winter when growth conditions for phytoplankton are deteriorating. This finding has been confirmed with in situ profiling float data. The objective of the current study was to test whether satellite-based annual cycles in r are reproduced by the Biogeochemical Element Cycling - Community Climate System Model and, if so, to use the additional ecosystem properties resolved by the model to better understand factors controlling phytoplankton blooms. We find that the model gives a similar early onset time for the blooming phase, that this initiation is largely due to the physical disruption of phytoplankton-grazer interactions during mixed layer deepening, and that parallel increases in phytoplankton specific division and loss rates during spring maintain the subtle disruption in food web equilibrium that ultimately yields the spring bloom climax. The link between winter mixing and bloom dynamics is illustrated by contrasting annual plankton cycles between regions with deeper and shallower mixing. We show that maximum water column inventories of phytoplankton vary in proportion to maximum winter mixing depth, implying that future reductions in winter mixing may dampen plankton cycles in the subarctic Atlantic. We propose that ecosystem disturbance-recovery sequences are a unifying property of global ocean plankton blooms.
    Print ISSN: 0886-6236
    Electronic ISSN: 1944-9224
    Topics: Biology , Chemistry and Pharmacology , Geography , Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
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  • 3
    Publication Date: 2017-08-10
    Description: Phytoplankton blooms are elements in repeating annual cycles of phytoplankton biomass and they have significant ecological and biogeochemical consequences. Temporal changes in phytoplankton biomass are governed by complex predator-prey interactions and physically-driven variations in upper water-column the growth conditions (light, nutrient, temperature). Understanding these dependencies is fundamental to assessing future change in bloom frequency, duration, and magnitude and thus represents a quintessential challenge in global change biology. A variety of contrasting hypotheses have emerged in the literature to explain phytoplankton blooms, but over time the basic tenets of these hypotheses have become unclear. Here, we provide a ‘tutorial’ on the development of these concepts and the fundamental elements distinguishing each hypothesis. The intent of this tutorial is to provide a useful background and set of tools for reading the bloom literature and to give some suggestions for future studies. Our tutorial is written for ‘students’ at all stages of their career. We hope it is equally useful and interesting to those with only a cursory interest in blooms as those deeply immersed in the challenge of understanding the temporal dynamics of phytoplankton biomass and predicting its future change. This article is protected by copyright. All rights reserved.
    Print ISSN: 1354-1013
    Electronic ISSN: 1365-2486
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Published by Wiley
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  • 4
    Publication Date: 2017-09-22
    Print ISSN: 1354-1013
    Electronic ISSN: 1365-2486
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Published by Wiley
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  • 5
    Publication Date: 2004-08-01
    Print ISSN: 1093-474X
    Electronic ISSN: 1752-1688
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Wiley
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