cv

CV updated in June 2024

Basics

Name Rémy Denéchère
Label Theoretical Marine Ecologist
Email rdenechere@ucsd.edu
Url https://scripps.ucsd.edu/profiles/rdenechere
Address 9500 Gilman Drive # 0218
Postalcode CA 94115, US
City La Jolla

Work

  • 2022.11 - 2023.10

    La Jolla, USA

    Postdoctoral Employee
    Scripps Institution of Oceanography
    Investigating the top-down effect of fish on zooplankton comunities, carbon, and oxygen tracer, using a coupled model of fish comunities with biogeochemistry
    • FEISTY
    • COBALT

Education

  • 2019.09 - 2022.09

    Lyngby, Denmark

    PhD
    Technical Universtiy of Danmark
    Metabolism, pace of life, and the dynamics of size-structured populations and communities: The case of fast-living squid
    • Metabolic theory of Ecology
    • FEISTY
    • Marine Theoretical Ecology
  • 2017.09 - 2019.09

    Paris, France

    Master
    Sorbonne Université (UPMC)
    Theoretical Ecology and Mathematical Modeling
    • Ecology
    • evolution
    • mathematical modeling
    • classic and Bayesian statistics
    • programming
  • 2014.09 - 2017.09

    Paris, France

    Double Bachelor
    Sorbonne Université (UPMC)
    Biology and Mathematics

Publications

  • 2024
    The role of squid for food web structure and community-level metabolism
    Ecological Modelling 493, 110729
    Squid have a high growth rate, short life span, and distinctive feeding behavior, leading to a rapid transfer of energy to upper trophic levels and significant predation pressure. This study shows that squid grow five times faster than fish and are constrained to regions with high pelagic secondary production, causing a reduction in total consumer biomass due to increased community-level respiration losses. The findings suggest that the recent increase in squid populations could have significant ecological and socio-economic impacts on marine ecosystems.
  • 2022
    Deriving population scaling rules from individual-level metabolism and life history traits
    The American Naturalist 199 (4), 564-575
    Individual metabolism generally scales with body mass with an exponent around 3/4, leading to the assumption that maximum population growth rate (rmax) scales with a −1/4 exponent. This study calculates rmax while explicitly considering offspring size and identifies four general patterns of how rmax scales with adult mass based on life history traits. The findings suggest that while some species groups like elasmobranchs, copepods, and mammals follow the classic −1/4 scaling, others like teleost fish and bivalves do not, indicating deviations from the expected metabolic scaling pattern.
  • 2021
    The within-population variability of leaf spring and autumn phenology is influenced by temperature in temperate deciduous trees
    International journal of biometeorology 65 (3), 369-379
    This study monitored leaf phenology in 14 tree populations across six European forests from 2011 to 2018, finding that variability in leaf senescence dates was twice as large as in budburst dates. Warmer temperatures and later budburst dates were linked to reduced variability in budburst, while later senescence and warm temperatures increased variability in senescence, although other factors also play a role.

Languages

French
Native speaker
English
Fluent

Interests

Theoretical Marine Ecology
Metabolic Theory of Ecology
Dynamic Energy Budget modeling
Fisheries induced evolution
Gill limitation theory
Mathematical modelling
Fisheries Size and Functional Type Model (FEISTY)
Carbon Ocean And Lower Trophics (COBALT)
Applied Mathematics
Programation
Fortran
Bash scripting
Matlab
Latex
R

References

Professor Ken Haste Andersen
Technical University of Denmark (DTU)
kha@dtu.edu.dk
Dr. P. Daniël van Denderen
Technical University of Denmark (DTU)
pdvd@dtu.edu.dk
Dr. Colleen Petrik
University of California San Diego (UCSD)
cpetrik@ucsd.edu

Students

Elizaveta Churikov
University of California San Diego (UCSD)
Undergraduate student

Volunteer

  • 2015 - 2018

    Paris, France

    Bénévole
    Les Restos du Coeur
    Weekly meal service and socialisation with people in need, and homelesses.