Data/hora: 01/06/2024 10:58:32

Provedor de dados: 	5	
País: 	France	
Título: 	Étude de la dynamique du microphytobenthos des vasières intertidales aux latitudes tempérées : approche combinée modélisation couplée physique-biologie et analyse de données satellitales

Study of microphytobenthos dynamics in temperate intertidal mudflats by using physical-biological coupled modelling and remote sensing data analysis	
Autores: 	Savelli, Raphael.	
Data: 	2019-12-12	
Ano: 	2019	
Palavras-chave: 	Microphytobenthos; Vasière intertidale; Production primaire; Modélisation physique-biologie; Télédétection; Microphytobenthos; Intertidal mudflat; Primary production; Physical-biological modelling; Remote sensing.	
Resumo: 	The high primary production (PP) of intertidal mudflats at temperate latitudes is mostly supported by microphytobenthos (MPB), which support both benthic and pelagic food webs. In the present thesis, we use a physical-biological coupled model to investigate the spatial and temporal variability of MPB dynamics on a large temperate intertidal mudflat of the French Atlantic coast. The model explicitly simulates the MPB biomass and the grazer (Peringia ulvae) biomass and density. The outputs provide key findings on MPB dynamics. In winter-spring, optimal light and mud surface temperature (MST) conditions for MPB growth lead to a MPB spring bloom. Light is the most limiting driver over the year. However, a high MST limits the MPB growth 40% of the time during summer. The photoinhibition of MPB photosynthesis can potentially superimpose on thermoinhibition in spring-summer. Grazing and resuspension of MPB biomass also shape the dynamics of the MPB biomass. Bioturbation by P. ulvae contributes to a chronic export of MPB biomass from the sediment to the water column in spring-summer. Waves contribute to the MPB resuspension through massive resuspension events in winter, spring and fall. 50% of the annual MPB PP is exported to the water column through chronic and massive resuspension events. We also developed a new method that combine remote sensing data with outputs of the physical-biological coupled model into a single algorithm that can predict PP from satellite data. In addition to bring new insights on the MPB dynamics, this work proposes new numerical tools to monitor and predict MPB PP and its fate in coastal waters in a context of climate change.	
Tipo: 	Text	
Idioma: 	Francês	
Identificador: 	https://archimer.ifremer.fr/doc/00692/80423/83559.pdf

https://archimer.ifremer.fr/doc/00692/80423/	
Editor: 	Université de La Rochelle	
Formato: 	application/pdf	
Fonte: 	info:eu-repo/semantics/openAccess

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