Sensitivity analysis of the STICS-MACRO model to identify cropping practices reducing pesticides losses
STICS-MACRO is a process-based model simulating the fate of pesticides in the soil-plant system as a function of agricultural practices and pedoclimatic conditions. The objective of this work was to evaluate the influence of crop management practices on water and pesticide flows in contrasted environmental conditions. We used the Morris screening sensitivity analysis method to identify the most influential cropping practices. Crop residues management and tillage practices were shown to have strong effects on water percolation and pesticide leaching. In particular, the amount of organic residues added to soil was found to be the most influential input. The presence of a mulch could increase soil water content so water percolation and pesticide leaching. Conventional tillage was also found to decrease pesticide leaching, compared to no-till, which is consistent with many field observations. The effects of the soil, crop and climate conditions tested in this work were less important than those of cropping practices. STICS-MACRO allows an ex ante evaluation of cropping systems and agricultural practices, and of the related pesticides environmental impacts.
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Subjects: | F08 - Systèmes et modes de culture, H01 - Protection des végétaux - Considérations générales, système de culture, pesticide, lutte biologique, http://aims.fao.org/aos/agrovoc/c_1971, http://aims.fao.org/aos/agrovoc/c_5739, http://aims.fao.org/aos/agrovoc/c_918, |
Online Access: | http://agritrop.cirad.fr/589372/ http://agritrop.cirad.fr/589372/1/Lammoglia_SensitivityAnalysis.pdf |
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dig-cirad-fr-5893722024-01-29T01:20:40Z http://agritrop.cirad.fr/589372/ http://agritrop.cirad.fr/589372/ Sensitivity analysis of the STICS-MACRO model to identify cropping practices reducing pesticides losses. Lammoglia Sabine Karen Djidemi, Makowski David, Moeys Julien, Justes Eric, Barriuso Enrique, Mamy Laure. 2017. Science of the Total Environment, 580 : 117-129.https://doi.org/10.1016/j.scitotenv.2016.10.010 <https://doi.org/10.1016/j.scitotenv.2016.10.010> Sensitivity analysis of the STICS-MACRO model to identify cropping practices reducing pesticides losses Lammoglia, Sabine Karen Djidemi Makowski, David Moeys, Julien Justes, Eric Barriuso, Enrique Mamy, Laure eng 2017 Science of the Total Environment F08 - Systèmes et modes de culture H01 - Protection des végétaux - Considérations générales système de culture pesticide lutte biologique http://aims.fao.org/aos/agrovoc/c_1971 http://aims.fao.org/aos/agrovoc/c_5739 http://aims.fao.org/aos/agrovoc/c_918 STICS-MACRO is a process-based model simulating the fate of pesticides in the soil-plant system as a function of agricultural practices and pedoclimatic conditions. The objective of this work was to evaluate the influence of crop management practices on water and pesticide flows in contrasted environmental conditions. We used the Morris screening sensitivity analysis method to identify the most influential cropping practices. Crop residues management and tillage practices were shown to have strong effects on water percolation and pesticide leaching. In particular, the amount of organic residues added to soil was found to be the most influential input. The presence of a mulch could increase soil water content so water percolation and pesticide leaching. Conventional tillage was also found to decrease pesticide leaching, compared to no-till, which is consistent with many field observations. The effects of the soil, crop and climate conditions tested in this work were less important than those of cropping practices. STICS-MACRO allows an ex ante evaluation of cropping systems and agricultural practices, and of the related pesticides environmental impacts. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/589372/1/Lammoglia_SensitivityAnalysis.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/j.scitotenv.2016.10.010 10.1016/j.scitotenv.2016.10.010 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.scitotenv.2016.10.010 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.scitotenv.2016.10.010 |
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F08 - Systèmes et modes de culture H01 - Protection des végétaux - Considérations générales système de culture pesticide lutte biologique http://aims.fao.org/aos/agrovoc/c_1971 http://aims.fao.org/aos/agrovoc/c_5739 http://aims.fao.org/aos/agrovoc/c_918 F08 - Systèmes et modes de culture H01 - Protection des végétaux - Considérations générales système de culture pesticide lutte biologique http://aims.fao.org/aos/agrovoc/c_1971 http://aims.fao.org/aos/agrovoc/c_5739 http://aims.fao.org/aos/agrovoc/c_918 |
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F08 - Systèmes et modes de culture H01 - Protection des végétaux - Considérations générales système de culture pesticide lutte biologique http://aims.fao.org/aos/agrovoc/c_1971 http://aims.fao.org/aos/agrovoc/c_5739 http://aims.fao.org/aos/agrovoc/c_918 F08 - Systèmes et modes de culture H01 - Protection des végétaux - Considérations générales système de culture pesticide lutte biologique http://aims.fao.org/aos/agrovoc/c_1971 http://aims.fao.org/aos/agrovoc/c_5739 http://aims.fao.org/aos/agrovoc/c_918 Lammoglia, Sabine Karen Djidemi Makowski, David Moeys, Julien Justes, Eric Barriuso, Enrique Mamy, Laure Sensitivity analysis of the STICS-MACRO model to identify cropping practices reducing pesticides losses |
description |
STICS-MACRO is a process-based model simulating the fate of pesticides in the soil-plant system as a function of agricultural practices and pedoclimatic conditions. The objective of this work was to evaluate the influence of crop management practices on water and pesticide flows in contrasted environmental conditions. We used the Morris screening sensitivity analysis method to identify the most influential cropping practices. Crop residues management and tillage practices were shown to have strong effects on water percolation and pesticide leaching. In particular, the amount of organic residues added to soil was found to be the most influential input. The presence of a mulch could increase soil water content so water percolation and pesticide leaching. Conventional tillage was also found to decrease pesticide leaching, compared to no-till, which is consistent with many field observations. The effects of the soil, crop and climate conditions tested in this work were less important than those of cropping practices. STICS-MACRO allows an ex ante evaluation of cropping systems and agricultural practices, and of the related pesticides environmental impacts. |
format |
article |
topic_facet |
F08 - Systèmes et modes de culture H01 - Protection des végétaux - Considérations générales système de culture pesticide lutte biologique http://aims.fao.org/aos/agrovoc/c_1971 http://aims.fao.org/aos/agrovoc/c_5739 http://aims.fao.org/aos/agrovoc/c_918 |
author |
Lammoglia, Sabine Karen Djidemi Makowski, David Moeys, Julien Justes, Eric Barriuso, Enrique Mamy, Laure |
author_facet |
Lammoglia, Sabine Karen Djidemi Makowski, David Moeys, Julien Justes, Eric Barriuso, Enrique Mamy, Laure |
author_sort |
Lammoglia, Sabine Karen Djidemi |
title |
Sensitivity analysis of the STICS-MACRO model to identify cropping practices reducing pesticides losses |
title_short |
Sensitivity analysis of the STICS-MACRO model to identify cropping practices reducing pesticides losses |
title_full |
Sensitivity analysis of the STICS-MACRO model to identify cropping practices reducing pesticides losses |
title_fullStr |
Sensitivity analysis of the STICS-MACRO model to identify cropping practices reducing pesticides losses |
title_full_unstemmed |
Sensitivity analysis of the STICS-MACRO model to identify cropping practices reducing pesticides losses |
title_sort |
sensitivity analysis of the stics-macro model to identify cropping practices reducing pesticides losses |
url |
http://agritrop.cirad.fr/589372/ http://agritrop.cirad.fr/589372/1/Lammoglia_SensitivityAnalysis.pdf |
work_keys_str_mv |
AT lammogliasabinekarendjidemi sensitivityanalysisofthesticsmacromodeltoidentifycroppingpracticesreducingpesticideslosses AT makowskidavid sensitivityanalysisofthesticsmacromodeltoidentifycroppingpracticesreducingpesticideslosses AT moeysjulien sensitivityanalysisofthesticsmacromodeltoidentifycroppingpracticesreducingpesticideslosses AT justeseric sensitivityanalysisofthesticsmacromodeltoidentifycroppingpracticesreducingpesticideslosses AT barriusoenrique sensitivityanalysisofthesticsmacromodeltoidentifycroppingpracticesreducingpesticideslosses AT mamylaure sensitivityanalysisofthesticsmacromodeltoidentifycroppingpracticesreducingpesticideslosses |
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