Matthieu Gilles

UMR IGE

PhD Student / Oct 2025 to Sept 2028

Carbon metabolism in stream ecosystems and its role in greenhouse‑gas emissions at the interface between terrestrial and aquatic environments

The objective of this mission is to understand the drivers of CO₂ and CH₄ emissions in stream ecosystems. This involves identifying proxies of greenhouse‑gas production in rivers, quantifying GHG emissions from river waters, and determining the mechanisms regulating their dynamics. The project also requires synthesising carbon‑flux and carbon‑stock data across the terrestrial–aquatic continuum and integrating evasion fluxes in order to refine the carbon budget of hydrosystems. This PhD is conducted in connection with the TERRA FORMA project.

Clément Fabre

UMR CRBE

Postdoctoral researcher / May 2025 to june 2027

Impacts of sponge‑measure interventions on the hydro‑biogeochemical dynamics of a watershed

The Lèze watershed is a demonstrator site where sponge‑measure interventions are being implemented to slow down water flows in order to reduce both flooding and drought risks. The objective of the CNRS is to assess the impact of these sponge measures on the hydro‑biogeochemical dynamics of the catchment.

Claire Verin

UMR IGE

Engineer / Jan 2025 to Jan 2027

Analysis of the different forms of dissolved carbon

I am responsible for managing the analyses of dissolved organic, inorganic and particulate carbon in river waters.

Camille Crapart

UMR IGE

Postdoctoral researcher / Jan 2025 to March 2027

Calculation of carbon fluxes along the aquatic continuum

I develop models to quantify carbon fluxes—dissolved organic carbon (DOC), dissolved inorganic carbon (DIC) and particulate organic carbon (POC)—in rivers monitored by national observatories such as OZCAR and the Zones Atelier network. By combining discharge records with concentration time series, I reconstruct interannual carbon fluxes, assess their uncertainties and analyse their temporal variability. I then investigate which geoclimatic watershed attributes (e.g., climate, lithology, land use, topography) best explain the spatial and temporal variability of these fluxes.