0000000000054285

AUTHOR

Christophe Brunet

showing 6 related works from this author

How diffusivity, thermocline and incident light intensity modulate the dynamics of Deep Chlorophyll Maximum in Tyrrhenian Sea

2015

During the last few years theoretical works have shed new light and proposed new hypotheses on the mechanisms which regulate the spatio-temporal behaviour of phytoplankton communities in marine pelagic ecosystems. Despite this, relevant physical and biological issues, such as effects of the time- dependent mixing in the upper layer, competition between groups, and dynamics of non-stationary deep chlorophyll maxima, are still open questions. In this work, we analyze the spatio-temporal behaviour of five phytoplankton populations in a real marine ecosystem by using a one-dimensional reaction-diffusion-taxis model. The study is performed, taking into account the seasonal variations of environm…

Chlorophyll0106 biological sciencesLight010504 meteorology & atmospheric sciencesMixed layerlcsh:MedicineOceanographyRandom processeAtmospheric sciences01 natural scienceschemistry.chemical_compoundPhytoplanktonMediterranean SeaMarine ecosystemSpatial ecologySeawaterMarine ecosystem14. Life underwaterPhytoplankton dynamiclcsh:Science0105 earth and related environmental sciencesDeep chlorophyll maximumMultidisciplinaryEcology010604 marine biology & hydrobiologylcsh:RTemperaturePelagic zoneModels TheoreticalSpatial ecology; Marine ecosystems; Phytoplankton dynamics; Deep chlorophyll maximum; Random processes; Stochastic differential equationsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Light intensitychemistry13. Climate actionChlorophyllPhytoplanktonStochastic differential equationsDeep chlorophyll maximumEnvironmental sciencelcsh:QThermoclineAlgorithmsResearch Article
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First results of the Piton de la Fournaise STRAP 2015 experiment: multidisciplinary tracking of a volcanic gas and aerosol plume

2016

Abstract. The STRAP (Synergie Transdisciplinaire pour Répondre aux Aléas liés aux Panaches volcaniques) campaign was conducted in 2015 to investigate the volcanic plumes of Piton de La Fournaise (La Réunion, France). For the first time, measurements at the local (near the vent) and at the regional scales around the island were conducted. The STRAP 2015 campaign has become possible thanks to a strong cross-disciplinary collaboration between volcanologists and meteorologists. The main observations during four eruptive periods (85 days) are summarized. They include the estimates of SO2, CO2 and H2O emissions, the altitude of the plume at the vent and over different areas of La Réunion Island, …

[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]STRAP 2015 experiment[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereAtmospheric SciencePiton de La FournaiseGaz volcaniqueslcsh:QC1-999La Réunionlcsh:ChemistryReunion IslandvolcanoVolcanic gaslcsh:QD1-99913. Climate actionaerosol plume[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/Volcanologylcsh:Physics
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The role of noise on the steady state distributions of phytoplankton populations

2016

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-diffusion-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. Speci…

0106 biological sciencesStatistics and ProbabilityPhysicsSteady state (electronics)010504 meteorology & atmospheric sciences010604 marine biology & hydrobiologyturbulenceHydrodynamic fluctuationstochastic processes (theory)Statistical and Nonlinear Physics01 natural sciencesSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)NoisePhytoplanktonHydrodynamic fluctuations; stochastic particle dynamics (theory); stochastic processes (theory); turbulence; Statistical and Nonlinear Physics; Statistics and Probability; Statistics Probability and Uncertaintystochastic particle dynamics (theory)Statistical physicsStatistics Probability and UncertaintyStatistical and Nonlinear Physic0105 earth and related environmental sciencesJournal of Statistical Mechanics: Theory and Experiment
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Biological and chemical characterization of new isolated halophilic microorganisms from saltern ponds of Trapani, Sicily

2021

Abstract Halophilic microorganisms inhabiting hypersaline environments such as salt lakes, Dead Sea, or salt evaporation ponds, have acquired specific cell adaptation to grow within stressful conditions. In this study, we isolated heterotrophic and autotrophic microorganisms from several saltern ponds located at the Natural Reserve “Saline di Trapani e Paceco”, Sicily, Italy. The aim of the study was to investigate the biotechnological potential of new microbial strains from saltern ponds, by capturing their biological and chemical diversity. After the isolation and identification of the sampled strains, their growth capacity was determined under low and high salinity conditions. The metabo…

0301 basic medicineSettore ING-IND/25 - Impianti ChimiciMicroorganism030106 microbiologyHeterotrophEctoinePhotosynthesisEvaporation pondSalinity03 medical and health scienceschemistry.chemical_compound030104 developmental biologychemistrySettore AGR/20 - ZoocoltureBotanyFucoxanthin14. Life underwaterAutotrophBioassay Carotenoids Halophiles Metabolomics Oxiglutathione Saltern pondsAgronomy and Crop ScienceAlgal Research
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Stochastic models for phytoplankton dynamics in Mediterranean Sea

2016

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.…

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 maximumProchlorococcusEcological Complexity
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Spatio-temporal behaviour of the deep chlorophyll maximum in Mediterranean Sea: Development of a stochastic model for picophytoplankton dynamics

2013

In this paper, by using a stochastic reaction-diffusion-taxis model, we analyze the picophytoplankton dynamics in the basin of the Mediterranean Sea, characterized by poorly mixed waters. The model includes intraspecific competition of picophytoplankton for light and nutrients. The multiplicative noise sources present in the model account for random fluctuations of environmental variables. Phytoplankton distributions obtained from the model show a good agreement with experimental data sampled in two different sites of the Sicily Channel. The results could be extended to analyze data collected in different sites of the Mediterranean Sea and to devise predictive models for phytoplankton dynam…

Stochastic modellingFOS: Physical sciencesStructural basinBiologyRandom processe01 natural sciencesIntraspecific competitionMediterranean sea0103 physical sciencesPhytoplanktonMarine ecosystemSpatial ecologyMarine ecosystem14. Life underwaterQuantitative Biology - Populations and Evolution010306 general physicsPhytoplankton dynamic010301 acousticsEcology Evolution Behavior and SystematicsDeep chlorophyll maximumEcologyEcological ModelingPopulations and Evolution (q-bio.PE)Spatial ecology; Marine ecosystems; Phytoplankton dynamics; Deep chlorophyll maximum; Random processes; Stochastic differential equationsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Oceanography13. Climate actionPhysics - Data Analysis Statistics and ProbabilityFOS: Biological sciencesSpatial ecologyStochastic differential equationsDeep chlorophyll maximumData Analysis Statistics and Probability (physics.data-an)
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