Kenji Fujisaki

UMR Info&Sols

Engineer / August 2023 to Oct 2027

Project facilitator

My role is to ensure effective coordination between the different activities of the project, particularly those related to the provision and interoperability of observation‑based datasets and the modelling of the carbon cycle in ecosystems. The ALAMOD project relies on long‑term experimental and monitoring infrastructures that track soil carbon stocks. These infrastructures—such as agronomic trials, observatories, and monitoring networks—are essential for understanding how land use, management practices, and global change affect the terrestrial carbon cycle.

I am particularly involved in producing datasets derived from these long‑term systems, by compiling and harmonizing information on climate, soil properties, soil carbon stock dynamics, agricultural management practices, and biomass production. These datasets are then used within the project to evaluate different carbon dynamics models.

My Mission in 180s / My mission in ALAMOD Project 

Kenji Fujisaki published a DATA paper in Scientific DATA journal

Elie Leguyader

UMR FARE

Engineer / Jan 2026 to August 2027

Consolidation and valorization of COLLECT‑OR datasets

My objective is to curate, structure, and make openly available the data collected in a previous project (COLLECT‑OR). This involves consolidating a dataset that includes carbon mineralization dynamics, soil mineral nitrogen dynamics, and chemical analyses (carbon and nitrogen contents, and Van Soest biochemical fractions: soluble compounds, hemicellulose, cellulose, lignin) for approximately 420 plant litter samples. The work also includes depositing the dataset in a public data repository, as well as communicating and promoting the results through a data paper and an original research article.

Alexandre Eymard

UMR Eco&Sols

Engineer / March 2024 to July 2026

Collection, aggregation, and consolidation of an infrared spectroscopy database applied to soil science

Infrared spectroscopy can be used to predict numerous soil properties—such as carbon and nitrogen content or pH—through the development of calibration models. My work focuses on disseminating existing spectral databases and improving their interoperability by implementing calibration‑transfer methods.

My mission in 180s / Infrared spectrometry applied to soils

Joséphine Hazera

URM ISTeP et Metis

Postdoctoral Researcher / April 2025 to Sept 2026

Linking Rock‑Eval® thermal signatures to the chemical compositions (Van Soest fractions) of plant litters

The Van Soest (VS) chemical extraction method distinguishes four fractions of organic matter (OM): “soluble” compounds, “hemicellulose‑like” components, “cellulose,” and “lignin.” However, this method is time‑consuming, costly, and requires the use of acids, solvents, and detergents. Rock‑Eval® (RE) thermal analysis consists of pyrolyzing the sample followed by oxidation of the residual material. Since the early 2000s, it has been increasingly used in soil science to quantify soil organic carbon (SOC) through the TOC parameter, and to characterize the thermal stability of SOC—an indicator of its biological stability—using various indices.

Renaud Pouysegur

UMR Info&Sols

Senior Engineer / Oct 2023 to April 2026

Collection of forest data for the Soil Quality Monitoring Network (RMQS)

The RMQS sites classified as forested areas had never been described within a harmonized, coherent, and interoperable dataset. My mission is to compile these data where they exist, and to generate them when they do not—through field measurements and/or modelling.

Mostafa Moradzadeh

UMR LG-ENS

Postdoctoral Researcher / Dec 2024 to Dec 2026

Improving the representation of grassland management in the ORCHIDEE land surface model

The project focuses on improving the representation of grassland management in ORCHIDEE, a land surface model used to simulate processes within the Earth system.

Elisa Bruni

UMR LG-ENS

Postdoctoral Researcher / June 2026 to May 2028

Multi‑model predictions of soil organic carbon dynamics

My mission is to simulate the dynamics of soil organic carbon stocks using a multi‑model ensemble and to systematically assess model performance based on a large dataset derived from both agricultural and forest soils.

Marie Ruillé

CIRAD

Postdoctoral Researcher / October 2025 to April 2027

Modelling soil organic matter mineralization in tropical environments: Comparison and improvement of soil–plant models

Consolidation and development of a long‑term database on soil organic matter mineralization in tropical soils

Coordination of a network of modellers (AgMIP)

Evaluation of the STICS model for simulating soil organic matter mineralization dynamics (carbon and nitrogen) under tropical conditions, with the aim of improving it through modifications of specific processes and recalibration.

Ekaterina Kalinicheva

UMR CESBIO

Postdoctoral Researcher / June 2025to Dec 2026

Fine‑scale characterization of forest structure using time‑series satellite imagery and high‑definition LiDAR data

This work focuses on characterizing the canopy structure of French forests using satellite remote‑sensing data, with HD LiDAR serving as the reference. It relies on the application of deep‑learning methods to Sentinel‑2 time‑series imagery, leveraging super‑resolution approaches to reveal fine‑scale details of canopy structure. The approach will soon be extended to the integration of Sentinel‑1 and other radar sensors, as well as to the exploration of additional descriptors of forest structure.

Bruna Winck

UMR ECOSYS

Postdoctoral Researcher / June 2024 to June 2026

Evolution of soil organic carbon (SOC) stocks at ICOS sites

My mission is to compile and harmonize soil datasets from ICOS sites across Europe, with a particular focus on historical measurements of soil organic carbon (SOC) in order to quantify long‑term changes in SOC stocks. In parallel, we integrate additional soil properties (e.g., texture, pH, nitrogen content, and soil moisture) to support biogeochemical modelling and to improve the interpretation of carbon dynamics under different land‑use types and environmental conditions.

Léa Husson

 UMR Info&Sols

Engineer / Nov 2023 to May 2026

Reconstruction of agricultural practices at RMQS sites

My mission is to reconstruct management‑practice data for the agricultural sites of the Soil Quality Monitoring Network (RMQS) in order to link land management with changes in soil organic carbon stocks between the two RMQS sampling campaigns.

My Mission in 180s / Agricultural practices : French soil Quality monitoring Network

Youssef Chatti

Info&Sols

Jurist / Dec 2023 to August 2026

Data governance issues

As a legal expert specializing in data law and research law, I work on the legal issues related to the management and dissemination of research data, particularly in the field of environmental and soil data. I address complex matters involving personal data protection, copyright, database rights, trade secrets and statistical confidentiality, open science, and contractual frameworks, especially in projects involving international partners and third countries. My work includes supporting research teams in ensuring the legal compliance of their projects, drafting and reviewing key documents (data management plans, data protection impact assessments – DPIAs, position papers), and contributing to the development of institutional strategies for data dissemination and reuse.

My Mission in 180s / Open Data governance 

Kristoffel Jacobs

UC Louvain

Engineer / Oct 2023 to Sept 2026

Coring of forest stands within the RENECOFOR network

The project aims to measure and analyse tree‑ring growth on forest plots within the RENECOFOR network (the French long‑term forest ecosystem monitoring network). It will make it possible to link radial tree growth — and, consequently, forest ecosystem functioning, biomass production, and carbon storage — to their climatic drivers. An initial coring campaign was carried out when the network was established in the 1990s. The new sampling effort captures the most recent decades, marked by strong climatic variability, and enables cross‑analysis with the full set of measurements collected on the plots since 1992. In practice, wood cores are taken from 30 trees per stand. After laboratory processing, the cores are digitized, ring widths are measured, and the resulting series are statistically validated through cross‑dating to ensure their consistency.

Amaël Le Squin

IGN

Engineer / Sept 2024 to Sept 2026

Development of total above‑ground volume equations for trees

The European Union has developed a new Forest Strategy for 2030 as part of its plan to adapt to climate change, mitigate its impacts, and make Europe a climate‑neutral continent by 2050. This strategy relies on improved monitoring of European forests to better understand their condition and respond appropriately. It specifically calls for assessing carbon sequestration in forests to determine whether Europe has achieved carbon neutrality.

This requirement has led the French National Forest Inventory to update its methods for evaluating forest carbon storage, beginning with the development of an allometric equation linking dendrometric variables (such as height and diameter) to the above‑ground volume of trees.

Abderrahim Bouhenache

UMR FARE

Postdoctoral Researcher / April 2026 to February 2028

Modelling soil organic matter dynamics

Assess the ability of the STICS model to simulate the long‑term dynamics of soil organic matter (carbon and nitrogen stocks) across a wide range of agricultural systems, soil types, and climates. You will use a dataset derived from long‑term experiments, currently being developed within the ALAMOD project, and you will also contribute to its further enrichment.

Evaluate and improve the simulation of short‑ and long‑term plant litter decomposition using the STICS model. You will modify and calibrate the STICS decomposition module to enhance the model’s generality and better represent specific situations (e.g., crop residues left on the soil surface, soils with low mineral nitrogen availability, etc.). You will work with a dataset combining measurements of litter decomposition under controlled conditions (laboratory incubations) and in the field. Model formalism modifications will be carried out in collaboration with the STICS team’s software development group.