Descripción del proyecto
Predecir la distribución de los peces con las respuestas fisiológicas de sus larvas
Cada especie de pez responde al calentamiento y a la disminución de oxígeno (O2) de los océanos mejorando su rendimiento fisiológico de una manera específica. La evaluación de los efectos del cambio climático sobre la ecología de las larvas de peces es fundamental para predecir el futuro de las poblaciones de peces y su diversidad. El proyecto financiado con fondos europeos FUTURELARVAE integrará respuestas fisiológicas al aumento de las temperaturas y a la disminución de O2 en modelos de distribución de especies (MDE) para predecir la distribución futura de las larvas de peces. El equipo del proyecto busca comprender el alcance del efecto del cambio climático en los hábitats de larvas que constituyen gremios funcionales y muestran estrategias vitales diferentes. En FUTURELARVAE se utilizará la biología experimental para generar datos ecofisiológicos sobre la respuesta de las larvas de peces a escenarios de cambio climático para integrarlos en MDE
Objetivo
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.
Ámbito científico
- 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
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-WF-03-2020
Régimen de financiación
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinador
1149 041 Lisboa
Portugal