Literature DB >> 19896955

Vertical distribution and composition of phytoplankton under the influence of an upper mixed layer.

Alexei B Ryabov1, Lars Rudolf, Bernd Blasius.   

Abstract

The vertical distribution of phytoplankton is of fundamental importance for the dynamics and structure of aquatic communities. Here, using an advection-reaction-diffusion model, we investigate the distribution and competition of phytoplankton species in a water column, in which inverse resource gradients of light and a nutrient can limit growth of the biomass. This problem poses a challenge for ecologists, as the location of a production layer is not fixed, but rather depends on many internal parameters and environmental factors. In particular, we study the influence of an upper mixed layer (UML) in this system and show that it leads to a variety of dynamic effects: (i) Our model predicts alternative density profiles with a maximum of biomass either within or below the UML, thereby the system may be bistable or the relaxation from an unstable state may require a long-lasting transition. (ii) Reduced mixing in the deep layer can induce oscillations of the biomass; we show that a UML can sustain these oscillations even if the diffusivity is less than the critical mixing for a sinking phytoplankton population. (iii) A UML can strongly modify the outcome of competition between different phytoplankton species, yielding bistability both in the spatial distribution and in the species composition. (iv) A light limited species can obtain a competitive advantage if the diffusivity in the deep layers is reduced below a critical value. This yields a subtle competitive exclusion effect, where the oscillatory states in the deep layers are displaced by steady solutions in the UML. Finally, we present a novel graphical approach for deducing the competition outcome and for the analysis of the role of a UML in aquatic systems. 2009 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2009        PMID: 19896955     DOI: 10.1016/j.jtbi.2009.10.034

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  7 in total

1.  A nonlocal and periodic reaction-diffusion-advection model of a single phytoplankton species.

Authors:  Rui Peng; Xiao-Qiang Zhao
Journal:  J Math Biol       Date:  2015-06-11       Impact factor: 2.259

2.  A mathematical model of algae growth in a pelagic-benthic coupled shallow aquatic ecosystem.

Authors:  Jimin Zhang; Junping Shi; Xiaoyuan Chang
Journal:  J Math Biol       Date:  2017-08-01       Impact factor: 2.259

3.  Effects of solar irradiance noise on a complex marine trophic web.

Authors:  Roberto Grimaudo; Paolo Lazzari; Cosimo Solidoro; Davide Valenti
Journal:  Sci Rep       Date:  2022-07-16       Impact factor: 4.996

4.  Dynamics of two picophytoplankton groups in mediterranean sea: analysis of the deep chlorophyll maximum by a stochastic advection-reaction-diffusion model.

Authors:  Giovanni Denaro; Davide Valenti; Bernardo Spagnolo; Gualtiero Basilone; Salvatore Mazzola; Salem W Zgozi; Salvatore Aronica; Angelo Bonanno
Journal:  PLoS One       Date:  2013-06-24       Impact factor: 3.240

5.  How diffusivity, thermocline and incident light intensity modulate the dynamics of deep chlorophyll maximum in Tyrrhenian Sea.

Authors:  Davide Valenti; Giovanni Denaro; Bernardo Spagnolo; Fabio Conversano; Christophe Brunet
Journal:  PLoS One       Date:  2015-01-28       Impact factor: 3.240

6.  Spatio-temporal dynamics of a planktonic system and chlorophyll distribution in a 2D spatial domain: matching model and data.

Authors:  Davide Valenti; Giovanni Denaro; Rosalia Ferreri; Simona Genovese; Salvatore Aronica; Salvatore Mazzola; Angelo Bonanno; Gualtiero Basilone; Bernardo Spagnolo
Journal:  Sci Rep       Date:  2017-03-16       Impact factor: 4.379

7.  Trait selection and co-existence of phytoplankton in partially mixed systems: Trait based modelling and potential of an aggregated approach.

Authors:  Frank Peeters; Dietmar Straile
Journal:  PLoS One       Date:  2018-03-22       Impact factor: 3.240

  7 in total

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