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The role of noise on the steady state distributions of phytoplankton populations

Articolo
Data di Pubblicazione:
2016
Abstract:
The spatio-temporal behaviour of total chlorophyll concentration is investigated in the middle of the Tyrrhenian Sea by using a stochastic approach. The study is based on a reaction-di?usion-taxis model, which is used to analyse the dynamics of five phytoplankton groups, responsible for about 80% of the total chlorophyll a inside the euphotic zone of the water column. The analysis is performed by considering: (i) the intraspecific competition of the phytoplanktonic groups for limiting factors, i.e. light intensity and nutrient concentration, (ii) the seasonal changes of environmental variables, and (iii) the random fluctuations of the components of the velocity field and temperature. Specifically, we investigate the e?ects of external perturbations, both deterministic and random, on the dynamics of phytoplankton populations, by inserting a term of multiplicative noise into the di?erential equation of the nutrient dynamics. The theoretical results of the phytoplankton abundances obtained by the stochastic model are converted in chlorophyll a concentrations, and compared with the experimental findings. The statistical checks, based on the chi-square test, show that the vertical distributions of total chlorophyll concentration are in a good agreement with the experimental data. Finally, we observe that the high intensity of environmental noise strongly modifies the steady spatial distributions of two phytoplankton groups usually localized in deeper layers, causing algal blooms in surface water.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
stochastic particle dynamics (theory); hydrodynamic fluctuations; turbulence; stochastic processes (theory)
Elenco autori:
Denaro, Giovanni; Bonanno, Angelo; Basilone, Gualtiero
Autori di Ateneo:
BASILONE GUALTIERO
BONANNO ANGELO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/394814
Pubblicato in:
JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT
Journal
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URL

https://iopscience.iop.org/article/10.1088/1742-5468/2016/05/054044
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