Description du projet
Réponses physiologiques des larves pour prédire la distribution des poissons
Chaque espèce de poisson réagit au réchauffement des océans et à l’appauvrissement en O2 en améliorant ses performances physiologiques d’une manière spécifique. L’évaluation des effets du changement climatique sur l’écologie larvaire est fondamentale pour prédire l’avenir des stocks et de la diversité des poissons. Le projet FUTURELARVAE, financé par l’UE, intégrera les réponses physiologiques à l’augmentation des températures et à l’appauvrissement en O2 dans les modèles de distribution des espèces (SDM) afin de prédire la distribution future des larves de poissons. Le projet cherche à comprendre l’ampleur de l’impact du changement climatique sur les habitats des larves présentant différentes guildes fonctionnelles et stratégies d’histoire de vie. FUTURELARVAE utilisera la biologie expérimentale pour générer des données éco-physiologiques sur la réponse des larves aux scénarios de changement climatique afin de les intégrer dans les SDM.
Objectif
Assessing the effects of climate change in larval ecology is fundamental to predict the future of fish stocks and fish diversity since connectivity among fish populations depends on larval distribution patterns. To forecast these effects on larvae is challenging because each species exhibits specific responses to ocean warming and O2 depletion by improving physiological performance to adapt or shifting dispersal features to preserve climatic niche. Thus, FUTURELARVAE will incorporate physiological responses to rising temperature and O2 depletion into SDMs to mechanistically forecast the future distribution of fish larvae aiming at understanding the magnitude at which climate change will affect the suitability of present vs. future habitats for larvae that exhibit different functional guilds (pelagic vs. demersal) and life history strategies (short vs. long pelagic duration). Experimental biology will be used to produce eco-physiological data representing the larval response to present and future scenarios of climate change. These data will be integrated into SDMs using Bayesian GLMs in order to understand whether these life history strategies will succeed under future climate conditions. For this, experts in environmental computational science (ER), experimental biology (supervisor) and eco-physiology modelling (advisor) will exchange knowledge and complement each other’s know-how. The ER will gain new technical skills on analytical tools, processing of mechanistic models and apply tools to generate science-based advice for the conservation of marine resources. By the end of the MSCA-IF, the ER will have acquired transferable skills in scientific management, leadership, science dissemination/communication and stakeholder engagement and have broaden his network, boosting his career. The ER will acquire much-needed conceptual/technical skills that are in high demand during this UN decade of the Oceans and commitment to SDG14, increasing his employment opportunities.
Champ scientifique
- humanitieshistory and archaeologyhistory
- natural sciencesbiological sciencesecology
- natural sciencescomputer and information sciencescomputational science
- social scienceseconomics and businessbusiness and managementemployment
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
Mots‑clés
Programme(s)
Thème(s)
Régime de financement
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinateur
1149 041 Lisboa
Portugal