Literature DB >> 26556743

Pesticide fate modeling in soils with the crop model STICS: Feasibility for assessment of agricultural practices.

Wilfried Queyrel1, Florence Habets2, Hélène Blanchoud2, Dominique Ripoche3, Marie Launay3.   

Abstract

Numerous pesticide fate models are available, but few of them are able to take into account specific agricultural practices, such as catch crop, mixing crops or tillage in their predictions. In order to better integrate crop management and crop growth in the simulation of diffuse agricultural pollutions, and to manage both pesticide and nitrogen pollution, a pesticide fate module was implemented in the crop model STICS. The objectives of the study were: (i) to implement a pesticide fate module in the crop model STICS; (ii) to evaluate the model performance using experimental data from three sites with different pedoclimatic contexts, one in The Netherlands and two in northern France; (iii) to compare the simulations with several pesticide fate models; and (iv) to test the impact of specific agricultural practices on the transfer of the dissolved fraction of pesticides. The evaluations were carried out with three herbicides: bentazone, isoproturon, and atrazine. The strategy applied in this study relies on a noncalibration approach and sensitivity test to assess the operating limits of the model. To this end, the evaluation was performed with default values found in the literature and completed by sensitivity tests. The extended version of the STICS named STICS-Pest, shows similar results with other pesticide fate models widely used in the literature. Moreover, STICS-Pest was able to estimate realistic crop growth and catch crop dynamic, which thus illustrate agricultural practices leading to a reduction of nitrate and a change in pesticide leaching. The dynamic plot-scale model, STICS-Pest is able to simulate nitrogen and pesticide fluxes, when the hydrologic context is in the validity range of the reservoir (or capacity) model. According to these initial results, the model may be a relevant tool for studying the effect of long-term agricultural practices on pesticide residue dynamics in soil and the associated diffuse pollution transfer.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Agricultural practices; Catch crop; Crop model; Herbicides; Model evaluation; Pesticide leaching; Soil

Mesh:

Substances:

Year:  2015        PMID: 26556743     DOI: 10.1016/j.scitotenv.2015.10.066

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

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

Authors:  Sabine-Karen Lammoglia; Julien Moeys; Enrique Barriuso; Mats Larsbo; Jesús-María Marín-Benito; Eric Justes; Lionel Alletto; Marjorie Ubertosi; Bernard Nicolardot; Nicolas Munier-Jolain; Laure Mamy
Journal:  Environ Sci Pollut Res Int       Date:  2016-05-18       Impact factor: 4.223

Review 2.  Advances in Nanotechnology as a Potential Alternative for Plant Viral Disease Management.

Authors:  Pranab Dutta; Arti Kumari; Madhusmita Mahanta; K K Biswas; Agnieszka Dudkiewicz; D Thakuria; Abdelrazek S Abdelrhim; S Basanta Singh; Gomathy Muthukrishnan; K G Sabarinathan; Mihir K Mandal; N Mazumdar
Journal:  Front Microbiol       Date:  2022-06-30       Impact factor: 6.064

  2 in total

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