Sequential use of the STICS crop model and of the MACRO pesticide fate model to simulate pesticides leaching in cropping systems

Lammoglia Sabine Karen Djidemi, Moeys Julien, Barriuso Enrique, Larsbo Mats, Marín-Benito Jesús-María, Justes Eric, Alletto Lionel, Ubertosi Marjorie, Nicolardot Bernard, Munier-Jolain Nicolas, Mamy Laure. 2017. Sequential use of the STICS crop model and of the MACRO pesticide fate model to simulate pesticides leaching in cropping systems. Environmental Science and Pollution Research, 24 (8) : 6895-6909.

Quartile : Q2, Sujet : ENVIRONMENTAL SCIENCES

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie

Résumé : The current challenge in sustainable agriculture is to introduce new cropping systems to reduce pesticides use in order to reduce ground and surface water contamination. However, it is difficult to carry out in situ experiments to assess the environmental impacts of pesticide use for all possible combinations of climate, crop, and soils; therefore, in silico tools are necessary. The objective of this work was to assess pesticides leaching in cropping systems coupling the performances of a crop model (STICS) and of a pesticide fate model (MACRO). STICS-MACRO has the advantage of being able to simulate pesticides fate in complex cropping systems and to consider some agricultural practices such as fertilization, mulch, or crop residues management, which cannot be accounted for with MACRO. The performance of STICS-MACRO was tested, without calibration, from measurements done in two French experimental sites with contrasted soil and climate properties. The prediction of water percolation and pesticides concentrations with STICS-MACRO was satisfactory, but it varied with the pedoclimatic context. The performance of STICS-MACRO was shown to be similar or better than that of MACRO. The improvement of the simulation of crop growth allowed better estimate of crop transpiration therefore of water balance. It also allowed better estimate of pesticide interception by the crop which was found to be crucial for the prediction of pesticides concentrations in water. STICS-MACRO is a new promising tool to improve the assessment of the environmental risks of pesticides used in cropping systems.

Mots-clés Agrovoc : pesticide, pollution par l'agriculture, système de culture, lutte biologique, agriculture durable

Classification Agris : F08 - Systèmes et modes de culture
H02 - Pesticides
P02 - Pollution

Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes

Auteurs et affiliations

• Lammoglia Sabine Karen Djidemi, INRA (FRA) ORCID: 0000-0002-8807-2791
• Moeys Julien, Swedish University of Agricultural Sciences (SWE)
• Barriuso Enrique, INRA (FRA)
• Larsbo Mats, Swedish University of Agricultural Sciences (SWE)
• Marín-Benito Jesús-María, INRA (FRA)
• Justes Eric, CIRAD-PERSYST-UMR SYSTEM (FRA) ORCID: 0000-0001-7390-7058
• Alletto Lionel, Université de Toulouse (FRA)
• Ubertosi Marjorie, Université de Bourgogne (FRA)
• Nicolardot Bernard, Université de Bourgogne (FRA)
• Munier-Jolain Nicolas, INRA (FRA)
• Mamy Laure, INRA (FRA) - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/589371/)

Métriques

[ Page générée et mise en cache le 2024-05-28 ]