Eco&Sols est une unité mixte de recherche de 70 permanents associant l’INRA, l’IRD, Montpellier SupAgro et le Cirad.
Les travaux conduits à Eco&Sols ont pour objectif d’améliorer la compréhension du rôle des organismes du sol et des plantes, ainsi que des interactions entre eux et avec leur milieu, dans les cycles biogéochimiques - cycles C, N et P principalement- au sein des sols et des agro-écosystèmes. Les cycles biogéochimiques du carbone (C) et des nutriments (N et P) sont principalement étudiés dans les agrosystèmes méditerranéens et tropicaux. Les différents composants du sol (particules d’argiles, agrégats, pores…), de la plante (racines, tiges, feuilles, fruits) et l’atmosphère sont étudiés dans ces cycles. La nature des déterminants biotiques et abiotiques des flux de C et de nutriments est étudiée dans des contextes agronomiques variés soumis aux changements climatiques et d’usage des terres.

Eco&Sols is a Joint Research Unit with 70 permanent staff from INRA, IRD, Montpellier SupAgro and CIRAD.
The research undertaken by Eco&Sols sets out to improve the understanding of the role of soil organisms and plants and the interactions between them and their environment in biogeochemical cycles - mainly C, N and P cycles - within soils and agroecosystems. The biogeochemical cycles of carbon (C) and nutrients (N and P) are studied mainly in Mediterranean and tropical agrosystems, in particular the roles of the various components of the soils (clay particles, aggregates, pores, etc), the plants (roots, stems, leaves and fruits) and the atmosphere. The nature of the biotic and abiotic determinants of the C and nutrient flows is studied in a range of agronomic situations taking account of changing land uses and global climate change.
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1 to 4 of 4 Results
9 janv. 2023
le Maire, Guerric, 2023, "Code for computing Leaf Size, Shape and Symptoms traits from scans", https://doi.org/10.18167/DVN1/PYAXSS, CIRAD Dataverse, V1
This dataset includes the code and example files used on datasets of Eucalyptus sp. leaf scans to compute leaf size (area, length, etc.), shapes, colour, and percentage of symptoms caused by potassium deficiency. The results were used in the following article: Cornut, I., Delpier...
15 avr. 2022
le Maire, Guerric; dos Santos Luciano, Ana Cláudia; Gama Campagnuci, Bruna Cristina, 2022, "Code for: Mapping 33 years of sugarcane evolution in São Paulo state, Brazil, using Landsat imagery and generalized space-time classifiers", https://doi.org/10.18167/DVN1/DQXFZG, CIRAD Dataverse, V1
This dataset includes the Google Earth Engine (GEE) code used to produce the results of the following scientific article: Luciano, A.C.S, Campagnuci, B.C.G., le Maire, G., Mapping 33 years of sugarcane evolution in São Paulo state, Brazil, using Landsat imagery and generalized sp...
6 janv. 2022
Guillemot, Joannès, 2022, "Dataset of Guillemot et al. (2022) Small and slow is safe: on the drought tolerance of tropical tree species, Global Change Biology", https://doi.org/10.18167/DVN1/HLBVJG, CIRAD Dataverse, V1
This dataset contains measurements of ten functional traits describing drought resistance, the fast-slow and stature-recruitment trade-off axes in 601 tropical woody species. Data were obtained from a screening of the literature, conducted in March 2021. The functional traits des...
12 nov. 2021
Robin, Agnès; Brancalion, Pedro, 2021, "Data from: Multifunctional soil recovery in the restoration of Brazil’s Atlantic Forest after bauxite mining", https://doi.org/10.18167/DVN1/KLZJPI, CIRAD Dataverse, V1, UNF:6:0U4y2n9ETtBHstPh1d6rVA== [fileUNF]
This data displays soil physical and chemical properties and microbial parameters including NGS data describing the diversity of bacterial communities. The study was conducted in 2013 in the private reserve of Retiro Branco and Córrego do Meio farm, in the municipality of Poços d...
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