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Portail > Offres > Offre UMR5175-ISACHU-002 - Post-doctorat (H/F) en écologie et biologie évolutive au CEFE

Post-doctoral (M/W) position in ecology and evolutionary biology at CEFE Montpellier, France

This offer is available in the following languages:
- Français-- Anglais

Date Limite Candidature : mardi 19 décembre 2023

Assurez-vous que votre profil candidat soit correctement renseigné avant de postuler

Informations générales

Intitulé de l'offre : Post-doctoral (M/W) position in ecology and evolutionary biology at CEFE Montpellier, France (H/F)
Référence : UMR5175-ISACHU-002
Nombre de Postes : 1
Lieu de travail : MONTPELLIER
Date de publication : mercredi 20 septembre 2023
Type de contrat : CDD Scientifique
Durée du contrat : 24 mois
Date d'embauche prévue : 1 janvier 2024
Quotité de travail : Temps complet
Rémunération : from 2934.82 €/month depending on experience
Niveau d'études souhaité : Niveau 8 - (Doctorat)
Expérience souhaitée : Indifférent
Section(s) CN : Biodiversity, evolution and biological adaptations: from macromolecules to communities

Missions

Climate change is altering biodiversity and its services and these impacts will intensify in the future. There is increasing evidence that local adaptation to climatic variation is disrupted by climate change and concern about the slow spontaneous pace of adaptation relative to the high speed of climate change. This has led to a growing demand for implementing assisted gene flow (AGF), in order to accelerate adaptation to changing climate. AGF describes the translocation of individuals between southern and northern populations within the current range of a species, to facilitate their adaptation to a warmer climate and local persistence. AGF could represent an alternative, with less disruptive consequences on ecosystems and biotic interactions, to assisted migration where individuals are translocated beyond the current species range. High priority targets for AGF are keystone species, managed species, and species at risk of extinction. AGF aims at, either increasing genetic diversity in general, with the hope of boosting demography through heterosis and the capacity to adapt to a changing, but unpredictable, environment, or increasing the frequency of particular genetic variants thought to confer increased resilience in the future. To date, we still lack empirical evidence about the effectiveness of AGF, we have very few tools to predict when AGF is truly needed, we do not know how the best AGF strategy depends on the life cycle of species, and we lack information about the best sources of genetic material for AGF. Potential risks associated with AGF include translocation failures, disease introduction, the loss of local genetic diversity, and that gene flow intensifies maladaptation.
The post-doctoral project will take place within the FloRes ANR project, which aims at understanding the necessity, effectiveness, risks and ethical implications of AGF. More specifically, the post-doctorate will use the process-based model PHENOFIT to find potential sources of genetic material of sessile oak and silver fir for AGF in France and determine transfer rules based on fitness landscapes. More precisely, they will predict how selection on functional traits will change and which source of genetic material will have the highest fitness in future climates. PHENOFIT describes explicitly how functional traits, such as phenological traits, vary with environmental conditions because of their plasticity and how this variation impacts annual survival and reproductive success. An upgraded version of the model uses daily meteorological data and soil data and predicts the daily states of development of vegetative and reproductive organs, tissues frost hardiness and water potential, and the annual growth, fecundity and survival. Fitness variation according to functional traits variation can thus be predicted along climatic gradients, and selection on functional traits can be inferred.

Activités

The post-doc will be responsible for five tasks:
- Parameterize and validate the upgraded version of PHENOFIT for sessile oak and silver fir with all data available
- Predict which phenotypes are optimal each decade from 2030 to 2100 under different climate scenario across France
- Identify sources of genetic material where selection favors phenotypes most similar to future optimal phenotypes
- Predict the patterns of temporal variation in selection with climate change
- Compare transfer rules based on fitness landscapes to transfer rules based on climatic distances for sessile oak at the scale of France and current seed transfer zones

Compétences

• PhD in Ecology or evolutionary biology, with a solid academic background in ecology and ecophysiology.
• Strong background in ecological modelling, programming and analytical skills in R or other languages.
• Clear communication in English in both spoken and written form.
• Good interpersonal skills needed for teamwork.

Contexte de travail

The post-doctorate will work in close collaboration with Isabelle Chuine who is developing the model PHENOFIT, and Ophélie Ronce (ISEM Montpellier) and Julie Gaüzere (URFM Avignon), two researchers who collaborated to previous work with the model to address evolutionary biology questions. They will also interact with the project partners working on sessile oak (Yves Rousselle) and silver fir (François Lefèvre, Bruno Fady). They will be based at CEFE, Montpellier. Montpellier in general and the CEFE and ISEM in particular, provide a very stimulating scientific environment, with many researchers working in ecology, evolution, agronomy and environmental sciences. The post-doc will be part of the team “FORECAST” https://www.cefe.cnrs.fr/fr/recherche/ef/forecast working on the impact of climate change on forest ecosystems using long term monitoring, field experiment and modelling.

Contraintes et risques

Teleworking possible for one day per week

Informations complémentaires

Enquiries and applications should be addressed to via email to Isabelle Chuine https://www.cefe.cnrs.fr/fr/recherche/ef/forecast. The application must include a cover letter (in English) explaining your interest and ability to carry out the post, a maximum of 5 publications most relevant to the project, a complete CV, and the names and contacts (email and phone number) of two academics capable of assessing your competence for the position.