To better understand and anticipate the response of organisms to climate change, it is mandatory to investigate the eco-evolutionary processes which govern the populations and foster their adaptation. More particularly we need to unveil how environmental factors and constraints (e.g. evolutionary trade-offs) influence the expression of life history traits and in turn the evolution of life history strategies. However, the study of eco-evolutionary processes and life history evolution in natural populations is challenging because of the difficulty to isolate particular ecological and evolutionary effect, to take into account confounding effects of other factors and variation of the environment conditions. Moreover, the data collected are often partial or even biased by the observation process itself.
This project aims to assess eco-evolutionary processes (life history decisions, evolutionary trade-offs) and the influence of environmental factors (e.g. water temperature and flow) in a wild population of Atlantic salmon to better understand its potential response to climate change. More precisely, the objectives of the thesis will be to (1) develop a statistical modeling framework which integrates life history decisions and evolutionary trade-offs while explicitly represent the processes that generate our observation, (2) explore the potential changes of life history traits (e.g. growth, survival, life history decisions) over time and (3) investigate the influence of environmental factors on life histories.
The candidate will beneficiate from a long-term monitoring program of a wild Atlantic salmon population in the Scorff river (Morbihan, France). The dataset is based on an ongoing capture-mark- recapture program conducted by ORE-DiaPFC (Environmental Research Observatory for Diadromous fish) and including more than 30,000 individuals tagged over 15 years. Environmental factors (e.g. water temperature and flow) are also available and recorded on a daily basis.
The PhD project will be part of the International Associated Laboratory MacLife, bringing together INRAE, UPPA, University of California-Berkeley and the University of Basque Country-Bilbao, to investigate the response of aquatic ecosystems and living biota to Climate Change and Extreme Climate Events.
The deadline for submission of applications is 14 May 2021 for a start in September/October 2021.
Description of the project and application requirements : https://filesender.renater.fr/?s=download&token=30df7cb6-19b6-4919-8c0f-73c7a50d4543
For further information please contact: [email protected]