Cargando…

Dynamics of Two Picophytoplankton Groups in Mediterranean Sea: Analysis of the Deep Chlorophyll Maximum by a Stochastic Advection-Reaction-Diffusion Model

A stochastic advection-reaction-diffusion model with terms of multiplicative white Gaussian noise, valid for weakly mixed waters, is studied to obtain the vertical stationary spatial distributions of two groups of picophytoplankton, i.e., picoeukaryotes and Prochlorococcus, which account about for 6...

Descripción completa

Detalles Bibliográficos
Autores principales: Denaro, Giovanni, Valenti, Davide, Spagnolo, Bernardo, Basilone, Gualtiero, Mazzola, Salvatore, Zgozi, Salem W., Aronica, Salvatore, Bonanno, Angelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3691268/
https://www.ncbi.nlm.nih.gov/pubmed/23826130
http://dx.doi.org/10.1371/journal.pone.0066765
_version_ 1782274452271136768
author Denaro, Giovanni
Valenti, Davide
Spagnolo, Bernardo
Basilone, Gualtiero
Mazzola, Salvatore
Zgozi, Salem W.
Aronica, Salvatore
Bonanno, Angelo
author_facet Denaro, Giovanni
Valenti, Davide
Spagnolo, Bernardo
Basilone, Gualtiero
Mazzola, Salvatore
Zgozi, Salem W.
Aronica, Salvatore
Bonanno, Angelo
author_sort Denaro, Giovanni
collection PubMed
description A stochastic advection-reaction-diffusion model with terms of multiplicative white Gaussian noise, valid for weakly mixed waters, is studied to obtain the vertical stationary spatial distributions of two groups of picophytoplankton, i.e., picoeukaryotes and Prochlorococcus, which account about for 60% of total chlorophyll on average in Mediterranean Sea. By numerically solving the equations of the model, we analyze the one-dimensional spatio-temporal dynamics of the total picophytoplankton biomass and nutrient concentration along the water column at different depths. In particular, we integrate the equations over a time interval long enough, obtaining the steady spatial distributions for the cell concentrations of the two picophytoplankton groups. The results are converted into chlorophyll a and divinil chlorophyll a concentrations and compared with experimental data collected in two different sites of the Sicily Channel (southern Mediterranean Sea). The comparison shows that real distributions are well reproduced by theoretical profiles. Specifically, position, shape and magnitude of the theoretical deep chlorophyll maximum exhibit a good agreement with the experimental values.
format Online
Article
Text
id pubmed-3691268
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-36912682013-07-03 Dynamics of Two Picophytoplankton Groups in Mediterranean Sea: Analysis of the Deep Chlorophyll Maximum by a Stochastic Advection-Reaction-Diffusion Model Denaro, Giovanni Valenti, Davide Spagnolo, Bernardo Basilone, Gualtiero Mazzola, Salvatore Zgozi, Salem W. Aronica, Salvatore Bonanno, Angelo PLoS One Research Article A stochastic advection-reaction-diffusion model with terms of multiplicative white Gaussian noise, valid for weakly mixed waters, is studied to obtain the vertical stationary spatial distributions of two groups of picophytoplankton, i.e., picoeukaryotes and Prochlorococcus, which account about for 60% of total chlorophyll on average in Mediterranean Sea. By numerically solving the equations of the model, we analyze the one-dimensional spatio-temporal dynamics of the total picophytoplankton biomass and nutrient concentration along the water column at different depths. In particular, we integrate the equations over a time interval long enough, obtaining the steady spatial distributions for the cell concentrations of the two picophytoplankton groups. The results are converted into chlorophyll a and divinil chlorophyll a concentrations and compared with experimental data collected in two different sites of the Sicily Channel (southern Mediterranean Sea). The comparison shows that real distributions are well reproduced by theoretical profiles. Specifically, position, shape and magnitude of the theoretical deep chlorophyll maximum exhibit a good agreement with the experimental values. Public Library of Science 2013-06-24 /pmc/articles/PMC3691268/ /pubmed/23826130 http://dx.doi.org/10.1371/journal.pone.0066765 Text en © 2013 Denaro et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Denaro, Giovanni
Valenti, Davide
Spagnolo, Bernardo
Basilone, Gualtiero
Mazzola, Salvatore
Zgozi, Salem W.
Aronica, Salvatore
Bonanno, Angelo
Dynamics of Two Picophytoplankton Groups in Mediterranean Sea: Analysis of the Deep Chlorophyll Maximum by a Stochastic Advection-Reaction-Diffusion Model
title Dynamics of Two Picophytoplankton Groups in Mediterranean Sea: Analysis of the Deep Chlorophyll Maximum by a Stochastic Advection-Reaction-Diffusion Model
title_full Dynamics of Two Picophytoplankton Groups in Mediterranean Sea: Analysis of the Deep Chlorophyll Maximum by a Stochastic Advection-Reaction-Diffusion Model
title_fullStr Dynamics of Two Picophytoplankton Groups in Mediterranean Sea: Analysis of the Deep Chlorophyll Maximum by a Stochastic Advection-Reaction-Diffusion Model
title_full_unstemmed Dynamics of Two Picophytoplankton Groups in Mediterranean Sea: Analysis of the Deep Chlorophyll Maximum by a Stochastic Advection-Reaction-Diffusion Model
title_short Dynamics of Two Picophytoplankton Groups in Mediterranean Sea: Analysis of the Deep Chlorophyll Maximum by a Stochastic Advection-Reaction-Diffusion Model
title_sort dynamics of two picophytoplankton groups in mediterranean sea: analysis of the deep chlorophyll maximum by a stochastic advection-reaction-diffusion model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3691268/
https://www.ncbi.nlm.nih.gov/pubmed/23826130
http://dx.doi.org/10.1371/journal.pone.0066765
work_keys_str_mv AT denarogiovanni dynamicsoftwopicophytoplanktongroupsinmediterraneanseaanalysisofthedeepchlorophyllmaximumbyastochasticadvectionreactiondiffusionmodel
AT valentidavide dynamicsoftwopicophytoplanktongroupsinmediterraneanseaanalysisofthedeepchlorophyllmaximumbyastochasticadvectionreactiondiffusionmodel
AT spagnolobernardo dynamicsoftwopicophytoplanktongroupsinmediterraneanseaanalysisofthedeepchlorophyllmaximumbyastochasticadvectionreactiondiffusionmodel
AT basilonegualtiero dynamicsoftwopicophytoplanktongroupsinmediterraneanseaanalysisofthedeepchlorophyllmaximumbyastochasticadvectionreactiondiffusionmodel
AT mazzolasalvatore dynamicsoftwopicophytoplanktongroupsinmediterraneanseaanalysisofthedeepchlorophyllmaximumbyastochasticadvectionreactiondiffusionmodel
AT zgozisalemw dynamicsoftwopicophytoplanktongroupsinmediterraneanseaanalysisofthedeepchlorophyllmaximumbyastochasticadvectionreactiondiffusionmodel
AT aronicasalvatore dynamicsoftwopicophytoplanktongroupsinmediterraneanseaanalysisofthedeepchlorophyllmaximumbyastochasticadvectionreactiondiffusionmodel
AT bonannoangelo dynamicsoftwopicophytoplanktongroupsinmediterraneanseaanalysisofthedeepchlorophyllmaximumbyastochasticadvectionreactiondiffusionmodel