Le jeudi 23 avril 2026, Séverine CHEVALIER présentera l'examen en vue de l’obtention du grade académique de Docteur en Sciences (Collège de doctorat en Océanographie) sous la direction de Marilaure GREGOIRE et Karline SOETAERT (Cotutelle avec l’Universiteit Gent).
Cette épreuve consistera en la défense publique d’une dissertation intitulée :
« Mapping benthic traits over the northwestern shelf of the Black Sea: a trait-based modelling approach ».
ID de réunion : 813 2512 3717
Code secret : 094271
Le Jury sera composé de :
Mme U. BRAECKMAN (UGent) (Présidente), Mmes et MM. S. ARNDT (ULB), O. BEAUCHARD (NIOZ, Pays-Bas), M. GREGOIRE (Promotrice), K. SOETAERT (UGent) (Promotrice), M. SOLAN (University of Southampton), A. TEACA (GeoEcoMar, Roumanie), A. VANREUSEL (UGent), H. YU (Secrétaire).
The biological communities found at the bottom of the sea, the macrobenthos, play a critical role in marine ecosystems by influencing biogeochemical cycles and ecosystem functioning. Therefore, the macrobenthos is a primary target for biodiversity conservation. Despite the availability of databases compiling millions of species records, benthic biodiversity remains poorly mapped at a larger scale, which hinders the establishment of Marine Protected Areas. This PhD thesis addresses this critical gap by developing predictive modelling tools capable of mapping macrobenthos characteristics at the shelf scale. This study takes a functional approach to biodiversity, defining living communities by their traits (e.g. mobility, burrow type). The methodology was developed for the northwestern shelf of the Black Sea. Trait distribution models were developed to link benthic traits and their “niche” (the environmental conditions to which they are suited) and to predict their spatial distribution using maps of environmental conditions provided by an ocean model. These maps of benthic traits can serve as ecological indicators for assessing ecosystem health and can be useful for conservation policy.
La thèse est intitulée : « Structural Phase Transitions and Complex Polar Orderings in Oxide Perovskites: Insights and Control from First- and Second-Principles ».
La thèse est intitulée : « High-Resolution Mass Spectrometry imaging beyond visualization: Addressing analytical challenges through computational methods ».
La thèse est intitulée : « Improving Representation of Land-Atmosphere Interactions Using Remote Sensing and Climate Models: Insights from Model Coupling and Satellite Data Integration ».
