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UMR EMMAH : Modelling Agricultural and hydrological systems in the mediterranean environment

The research carried out by the EMMAH joint research (UMR) unit focuses on understanding and modelling the functioning of agrosystems in interaction with underground hydrosystems. This leads the EMMAH UMR to consider the aquifer-soil-plant-atmosphere system on different time and space scales. In order to understand and model how this system works, it is necessary to take into account the many interactions between the dynamics of the plant cover, the physical, chemical and biological processes in the soil, interactions with the atmosphere and hydrosystems, and the way in which agrosystems are managed. In particular, the work carried out aims to characterise mass flows between the atmosphere, the plant cover, the soil and the underground aquifer, and the processes involved in plant production in relation to environmental factors, at different spatial scales (from a millimetre to a kilometre) and temporal scales (from a second to several decades). In this way, the EMMAH joint research unit is helping to assess the sustainability of underground water resources and cropping systems in the dual context of global change and agro-ecological transition. The Mediterranean remains a key area of study, a region marked by rapid climate change and high water stress linked to the adaptation of cropping systems and strong demographic pressure.

European Plant Phenomics symposium logo represented by two dotted circles, one light green and one dark green, which intersect.
article

15 September 2025

By: Marie Weiss

LPA CAPTE at the European Plant Phenomics Symposium

LPA CAPTE will attend the European Plant Phenomics Symposium in Bonn (from 11-19 September) and participate to many events.

 

Three most recent HAL EMMAH publications

  • [hal-05585029] Groundwater storage depletion and contamination trade-offs under contrasting irrigation practices in drought-stressed Morocco

    H. Bouimouass, Sarah Tweed, J.P.R. Sorensen, H. Sahraoui, T. Sahlaoui, K.M.C. Afamondji, Y. Fakir, K. Oufdou, M. Babic, M. Leblanc

    08 Apr 2026

    https://hal.science/hal-05585029v1
  • [hal-05575218] A Novel Deep Learning Framework combining optical-SAR Data to Generate Gap-Free 20 M LAI Time Series for Crop Monitoring

    Juan Li, Dino Ienco, Raffaele Gaetano, Matteo Ciotola, Blanca Mateo-Herrera, Zhiqiang Xiao, Marie Weiss

    01 Apr 2026

    https://hal.science/hal-05575218v1
  • [hal-05393304] The use of vermicompost from urban organic waste leads to a sustainable increase of earthworm abundance: a three-year study in a crop field converting to organic farming

    Vincent Ducasse, Vincent Tolon, Apolline Auclerc, Line Capowiez, Joséphine Peigné, Yvan Capowiez

    25 Mar 2026

    https://isara.hal.science/hal-05393304v1