Ces travaux de recherche ont été récompensés en 2000 par le prix des Techniques Innovantes pour l’Environnement décerné par l’Agence française De l’Environnement et de la Maîtrise de l’Energie (ADEME). Actuellement il travaille principalement sur l’amélioration de procédés catalytiques pour l’élimination de Composés Organiques Volatils (COV). Ses activités de recherche ont porté essentiellement sur la synthèse et réactivité de carbures de métaux de transition du groupe 6 substituts des métaux de la mine du platine.
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Jean-Marc Giraudon est co-auteur de plus de 50 articles scientifiques de rang A dans le domaine de la catalyse hétérogène. Knox (2 mois).Il travaille depuis 1989 en tant que Maître de Conférences à l’Université Lille1 et effectue sa recherche à l’Unité de Catalyse et de Chimie du Solide. Il effectue un stage doctoral en 1987 à l’Université de Bristol au Département de Chimie Inorganique sous la direction du professeur S.A.R. Il obtient son doctorat de Chimie Fine à l'Université de Bretagne Occidentale en 1988 sous la direction du Professeur Jacques Guerchais sur le sujet « Complexes mono et dinucléaires du molybdène avec des ligands macrocycliques de type tétraazaannulène: synthèse, structure, réactivité et propriétés redox ». This email address is being protected from spambots.
Remediation and catalytic materials (REMCAT) Based on our knowledge, we hypothesized that local adaptations to cold temperatures deserved more attention in terms of modelling, but further in conservation planning as well.Jean-Marc Giraudon Heterogeneous Catalysis Department In this respect, the relative position of the northern range limit between the two methods strongly suggested here that a key biological process related to intraspecific variability was potentially lacking in the mechanistic SDM. The difference, when noticed, required to deepen our understanding of the niche modelled by each approach. The congruence in predicted range limits between SDMs projections was the next point of interest. Climate change could not be accordingly listed as a major threat for allis shad. This agreement was preferentially interpreted as referring to the species vulnerability to climate change. First, projections from correlative and mechanistic models provided congruent trends in probability of habitat suitability and population dynamics. We then used a correlative SDM for this species to forecast its distribution across the same geographic area and under the same climate change scenarios. The present joint analysis was based on the novel mechanistic model GR3D (Global Repositioning Dynamics of Diadromous fish Distribution) which was parameterized on allis shad and then used to predict its future distribution along the European Atlantic coast under different climate change scenarios (RCP 4.5 and RCP 8.5).
Guidelines for joint representation and subsequent interpretation of models outputs were defined and applied. The main purpose of this study was to provide a framework for joint analyses of correlative and mechanistic SDMs projections in order to strengthen conservation measures for species of conservation concern. For few species, both correlative and mechanistic SDMs were built, but allis shad (Alosa alosa), an endangered anadromous fish species, is one of them. Species Distribution Models (SDMs) can help forecast such range shift responses. Species can respond to climate change by tracking appropriate environmental conditions in space, resulting in a range shift.
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