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Erwan Quéméré

Institute of Evolutionary Ecology, University of Edinburgh

A quantitative genetic study of the phenological response of Roe Deer to Climate Change



Annual meeting: 2014

Fields-Topics: P3 Population and Ecosystems

Type of talk: Fellows Speed Presentation

A quantitative genetic study of the phenological response of Roe Deer to Climate Change

Biography

I am a permanent researcher at INRA ("Wildlife, Behaviour and Ecology" lab, Toulouse, France) interested in applying molecular biological techniques and methods in population and quantitative genetics to questions in evolutionary ecology, conservation, and behavior. My research seeks to understand the ecological and evolutionary mechanisms (neutral and selective) that shape the genetic variation within and among populations and ultimately the evolutionary potential of fitness-related traits.
During my AgreenSkills mobility stay in Edinburgh (Scotland), I set up an innovative project on roe deer adaptation to climate change in collaboration with Prof. Josephine Pemberton. Using a cutting edge quantitative genetic approach and focusing on long-term monitored roe deer populations exhibiting contrasting environmental conditions (for which I build pedigrees), we sought to determine the environmental and genetic basis of inter-individual variation in morphological and life-history traits related to fitness. This stay also offered me the opportunity to develop new genomics tools (co-funded by UK and INRA) to study the genetic basis of roe deer behavioural responses to landscape heterogeneity (supervision a new PhD student on this topic from 2016).

Abstract

A quantitative genetic study of the phenological response of Roe Deer to Climate Change

The roe deer (Capreolus capreolus) is an income breeder, relying on current resource intake for survival and reproduction.  In the context of ongoing changes in regional climate and land-use, the overall goal of my mobility project is to elucidate the evolutionary mechanisms by which roe deer adapt to the increasing unpredictability in the distribution of resources both in space and time. Using a cutting edge quantitative genetic approach and focusing on long-term monitored roe deer populations exhibiting contrasting environmental conditions, I aim to assess the relative contribution of additive genetic variation and plasticity to morphological (e.g. body mass) and life-history traits (e.g. phenology).

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