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RESEARCH PRODUCT
Stochastic models for phytoplankton dynamics in Mediterranean Sea
G. DenaroAngelo BonannoF. ConversanoChristophe BrunetBernardo SpagnoloBernardo SpagnoloSalvatore MazzolaGualtiero BasiloneDavide Valentisubject
0106 biological sciences010504 meteorology & atmospheric sciencesStochastic modellingRandom processeAtmospheric sciences01 natural sciencesDeep chlorophyll maximum; Marine ecosystems; Phytoplankton dynamics; Random processes; Spatial ecology; Stochastic differential equations; Ecology Evolution Behavior and Systematics; Ecological ModelingStochastic differential equationMediterranean seaMarine ecosystemSpatial ecology14. Life underwaterPhytoplankton dynamicEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesDeep chlorophyll maximumStochastic differential equationbiologyStochastic processEcology010604 marine biology & hydrobiologyEcological Modelingbiology.organism_classificationEcology Evolution Behavior and SystematicSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Light intensitySpatial ecologyDeep chlorophyll maximumProchlorococcusdescription
Abstract In this paper, we review some results obtained from three one-dimensional stochastic models, which were used to analyze picophytoplankton dynamics in two sites of the Mediterranean Sea. Firstly, we present a stochastic advection–reaction–diffusion model to describe the vertical spatial distribution of picoeukaryotes in a site of the Sicily Channel. The second model, which is an extended version of the first one, is used to obtain the vertical stationary profiles of two groups of picophytoplankton, i.e. Pelagophytes and Prochlorococcus, in the same marine site as in the previous case. Here, we include intraspecific competition of picophytoplanktonic groups for limiting factors, i.e. light intensity and nutrient concentration. Finally, we analyze the spatio-temporal behaviour of five picophytoplankton populations in a site of the Tyrrhenian Sea by using a reaction–diffusion–taxis model. The study is performed, taking into account the seasonal changes of environmental variables, obtained starting from experimental findings. The multiplicative noise source, present in all three models, mimics the random fluctuations of temperature and velocity field. The vertical profiles of chlorophyll concentration obtained from the stochastic models show a good agreement with experimental data sampled in the two marine sites considered. The results could be useful to devise a new class of models based on a stochastic approach and able to predict future changes in biomass primary production.
year | journal | country | edition | language |
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2016-09-01 | Ecological Complexity |