Guillaume Le Gland

Guillaume Le Gland
Institut de Ciències del Mar · Department of Marine Biology

5.07
 · 
Doctor of Philosophy

About

6
Publications
773
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12
Citations
Research Experience
November 2018 - present
Institut de Ciències del Mar
Position
  • PostDoc Position
Description
  • Simulating Planton Evolution with Adaptive Dynamics (SPEAD)
October 2014 - February 2018
Université de Bretagne Occidentale
Position
  • PhD Student
Description
  • Constraining the coast - open ocean exchanges and the biological carbon pump by inverse modeling of two radio-isotopes (radium 228 and thorium 234)
March 2014 - August 2014
Ifremer
Position
  • Internship
Description
  • 0D modeling of Alexandrium blooms in the bay of Brest in inter-specific competition

Projects

Project (1)
Project
«Simulating Plankton Evolution with Adaptive Dynamics (SPEAD)» The project SPEAD is based on the notion of dynamic fitness landscapes (DFL), which gives the relationship between genotype and survival fitness for non-constant environmental conditions, to simulate the ecological evolution (eco-evo) of planktonic organisms for the global ocean. The aims of this project are: i) to develop a marine ecosystem model that includes the adaptive evolution of planktonic organisms along several environmental gradients (nutrients, temperature, irradiance) in order ii) to better predict the response of marine ecosystems to future climate change scenarios. To achieve this goal we propose to combine within the same modelling framework two approaches that are so far being developed independently of each other. The classical approach to simulate the dynamics of plankton communities relies on solving phytoplankton populations as discrete entities with fixed environmental optima (Nopt, Topt, Iopt) that do not change over time. A newer alternative approach includes adaptive dynamics using trait diffusion (TD) to solve the temporal evolution of these physiological traits for a single population. The SPEAD project seeks to combine both approaches in order to build a unified model that is able to resolve the adaptive evolution of species-traits for many populations of phytoplankton simultaneously.