SYSTEME team

The research project of the SYSTEME team is in line with the general objectives of the ADVENSYS research division.

1 – To analyze the biodiversity and the interactions between flora and invertebrates at different biological and management scales.

2 – Understand, co-develop and facilitate the transition to sustainable and multi-efficient agricultural systems.

The work of this multidisciplinary team (agronomy, agroecology) is about the regulation services in the agroecosystems, more specifically on the regulation services of weeds and climate. The objectives of the SYSTEME team are to analyze, understand and model the effects of farming systems and agroecological systems (defined as mosaics of farming systems and agroecological infrastructures) on the weeds and the functioning of biogeochemical cycles. The purpose is the multi-requirements evaluation and the multi-objectives conception of farming systems (with questions about the reconnexion between farming and breeding systems), for an agroecological gestion of weeds (ex: herbicide-saving, containing harmful species, preserving biodiversity, ensuring quality and quantity of harvests…) and an integrated gestion of greenhouse gases.

The procedure articulates additional approaches:

1 – The in situ monitoring of weeds and/or greenhouse gases emissions as well as others components (in experimental station or in a network of farmers’ plots).

2 – Analytics and systems experimentations, in controlled conditions (ex: greenhouse) and in the fields (ex: CA-SYS platform) to identify and quantify the underlying processes (ex: competition for resources between the plants).

3 – The development of mechanistic models quantifying (a) the dynamic of weed flora in answer to farming systems in interaction with the pedoclimate (ex: FlorSys model), and (b) the dynamic of greenhouse gases emissions.

4 – The development and application of methodologies for multi-requirements evaluation and the multi-objectives conception of farming systems (including co-conception workshops with farmers). For it, it means to combine data from “system tests” (ex: CA-SYS platform), databases describing the farmers’ practices (ex: data from the DEPHY network), simulations (ex: from mechanistic models), and investigations.