Staff

STOECKEL Solenn

Theme(s) : Population dynamics, life history trait, Ecology Ecosystems assessment and multiple anthrophic pressure Stakeholders information support for sustainable management of ecosystems Email : solenn.stoeckel@inrae.fr Address: UMR DECOD, 65 rue de Saint-Brieuc Bât. 15 , CS 84215, 35042 Rennes Cedex, France Keywords : Adaptation / Connectivité / Dérive génétique / Dynamique des populations / Ecologie spatiale / Evolution adaptative / Invasions biologiques / Migration / Algues / Changement climatique / Dispersion / Individus / Macroinvertébrés / Analyses de séries temporelles

Research

My researches contribute to understand how biological features emerge, maintain, decline and disappear, by the joint effects of multiple stochastic, transient and stable ecological and evolutionary forces in time and space.

In this context, I am interested in studying the dynamics of genetic and phenotypic diversities within populations and species that are important for ecosystems health and human activities, to understand the intrinsic and extrinsic biological processes and environmental changes that impact biological evolutions of populations.

For many species, we cannot humanly and materially study these questions by using direct observations and monitoring of individuals in their environments. I thus develop models, methods and studies using genetic identities between lineages of individuals and genetic diversity measured within individuals and populations as a more universal abstract way (proxy) to track populations and study the ecological and evolutionary processes they experience.

Research questions

I develop theoretical and applied studies and models in

• Population genetics,
• Demogenetics,
• Population biology,
• Population ecology,
• Parental and kinship analyses, DNA forensic

to understand the evolutionary dynamics of contemporary species and their interactions.

I’m especially interested in studying the

• Impacts and evolution of reproductive modes, including partial clonality, selfing/autogamy, outcrossing/allogamy/self-incompatibility systems, as reproductive modes determine the transmission of heritable features over time and space
• Evolutionary trajectories of tracked populations (analyses, predictions and inferences) in explicit space and habitats, as most of population biology studies monitor and work on specific populations, that cannot be predicted or inferred using average expectations for any population.
• Selection as a stochastic force, as selection is known to vary over time, space, ecological communities and environment but still mostly modeled as a deterministic stable force
• Management of species important for ecosystem health and human development, and the feedback of human practices on their ecological and biological evolution
• Impacts of human activities and the changes they induce in the environment on population biology and genetic/phenotypic diversity
• Environmental changes in costal and freshwater and associated biodiversity.

Collaborations

• UMR DECOD : Dominique Barloy, Eric Petit, Marie-Agnès Coutellec, Eric Edeline (Projet FEDER Jussies, projet Hi-Plex, Spabio)
• UMR IGEPP, équipe Démécologie : Lucie Mieuzet, Lydia Bousset, Nicolas Parisey, Jean-Sébastien Pierre, Didier Andrivon ; Projets ANR Endurance, INRAE-SPE Genomix)
• Jean-Pierre Masson, Jurgen Angst, Florent Malrieu (ANR Clonix2D)
• Fabien Halkett (ANR Endurance et Clonix2D, UMR IAM, INRAE Nancy)
• Sophie Arnaud-Haond (ANR Clonix2D, UMR MARBEC, Ifremer Sète)
• Myriam Valero (ANR Clonix2D, UMI EBEA, Roscoff)
• Stacy Krueger-Hadfield (Clonix2D, NSF-CARREER Life-cycles, Virginia Institute of Marine Science)
• Marie-Laure Guillemin (ANR Clonix2D, Conocyt Algues, Universidad Austral de Chile)
• Ekaterina Bocharova (projet Metchnikov Sea-anemones)
• Hélène Guérin (ANR Clonix2D, UCQAM)

Current projects

• ANR Clonix2D
• ANR ENDURANCE
• NSF-CARREER At The Convergence of Life Cycles and Reproduction
• FEDER Jussies
• SPE-INRAE Genomix

M.Sc. and Ph.D Supervision

• Master : 12 
  
• Thesis : 16
  

Other information :

https://cv.hal.science/solenn-stoeckel

https://scholar.google.com/citations?user=9_ngu_IAAAAJ

https://forgemia.inra.fr/solenn.stoeckel

Expertises

• Genotyping (DNA and all hereditary marks); Biometry; Behavior; Individual, population and environmental tracking; spatial environmental measures;
• Mathematics including probability, combinatorics and graph theory, topology, geometry and trigonometry, differential calculus, Bayesian statistics, time series analyses and supervised machine learning.
• Numerical computation including bit and qubit algorithms, high-throughput computation, GP-GPU, embedded systems and code optimization.

Teaching Experience

• Random models, probabilities and associated statistical methods in population biology
• Population genetics and genomics, forensic genetics
• Reproductive evolution
• Numerically intensive scientific computing, programming and algorithms
  Supervised likelihood-based statistical analysis of explicit and stochastic mechanistic models
• Epistemology, history of science and its governance

Publications

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