SamuelDijoux
Workplace: 
Faculty of Science
Institute of Entomology, Biology Centre CAS
Room: 
K3-104
Specialization: Ecological modelling; Population Dynamics; Life history traits; Climate change
Email: dijous00 [at] prf.jcu.cz

Specialization

My PhD research is dedicated to understand how freshwater ectotherm populations respond to climatic and habitat changes by accounting mechanisms that are implied from individual to community scales. Through the development of predictive population models, I especially aim to understand the key role of species body sizes and environmental drivers (warming and eutrophication) on individual life histories and communities structure and persistence. Mainly theoretical, my models exclusively involve multitrophic interactions (predation, competition and omnivory), life history traits, temperature- and mass-dependent relationships, and fast/slow climatic processes (season vs. long-term warming).

Brief CV

Education

  • 2016 to present : Ph.D.  study on "Trait-based modelling in freshwater communities" (Ceske Budejovice, Czechia)

  • 2013 - 2015 : M.Sc. Ecology, "Ecosystem biology modelling" (Toulouse, France)

  • 2011 - 2013: B.Sc. Biology, "Biology of organisms, populations and Ecosystem" (Toulouse, France)

External Collaboration/Internships

  • 2018 & 2019. Two months stay at the Arctic University of Noway at Tromso (UiT) for a collaborative project with Prof. Raul Primicerio on the impacts of antrhopogenic pressures on northern fish communities.
  • 2019. One month stay at the IRSTEA (Aix-en-Provence) for a collaborative project with Dr. Arnaud Sentis on the structural response of freshwater food webs under climate change and species invasions.

 

More information

Publications

  •   Dijoux, Samuel; and Boukal, David.S. (2021), Community structure and collapses in multichannel food webs: Role of consumer body sizes and mesohabitat productivities. Ecology Letters, 24: 1607-1618. DOI: 10.1111/ele.13772.
  • Brown, Joel; Mennicken, Sophie; Massante, Jhonny; Dijoux, Samuel; Telea, Alexandrea; Benedek, Ana; Götzenberger, Lars; Májeková, Maria; Leps, Jan; Šmilauer, Petr; Hrček, Jan; de Bello, Francesco  (2019). A novel method to predict dark diversity using unconstrained ordination analysis. Journal of Vegetation Science 30 : 610-619. DOI: 10.1111/jvs.12757.