Modelling pesticide degradation and leaching in conservation agriculture: Effect of no-till and mulching
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Modelling pesticide degradation and leaching in conservation agriculture : Effect of no-till and mulching. / Vuaille, Jeanne; Abrahamsen, Per; Jensen, Signe M.; Diamantopoulos, Efstathios; Wacker, Tomke S.; Petersen, Carsten T.
I: Science of the Total Environment, Bind 929, 172559, 2024.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Modelling pesticide degradation and leaching in conservation agriculture
T2 - Effect of no-till and mulching
AU - Vuaille, Jeanne
AU - Abrahamsen, Per
AU - Jensen, Signe M.
AU - Diamantopoulos, Efstathios
AU - Wacker, Tomke S.
AU - Petersen, Carsten T.
N1 - Publisher Copyright: © 2024 The Authors
PY - 2024
Y1 - 2024
N2 - No-till and mulching are typical management operations in conservation agriculture (CA). To model pesticide degradation and leaching under a CA scenario, as compared to a conventional-tillage scenario (CT), the mulch module of the agro-hydrological model Daisy was extended. A Daisy soil column was parameterized with measurements of topsoil, mulch, and a realistic subsoil, and tested against published experimental data of pesticide fate in laboratory soil columns covered by mulch. Uncertainty and sensitivity analyses of the new Daisy version were conducted for a series of weather, soil, pesticide, and mulch parameters, using 4939 Monte Carlo simulations under each scenario. Results showed that there was no systematic difference in pesticide leaching from the topsoil (to the subsoil and directly to drains via drain-connected biopores) between CA and CT, but pesticide degradation and sorption were significantly different; degradation in the mulch and uppermost soil surface layer (0–3.5 cm) was larger in CA while degradation was larger in CT when considering the whole topsoil (0–30 cm). This difference for the whole topsoil could be explained by pesticide interception in CA in the part of the mulch not in direct contact with the soil where degradation is assumed not to occur. The sensitivity analysis highlighted non-influential parameters and seven parameters out of twenty-five to be better estimated to improve the accuracy of the predictions.
AB - No-till and mulching are typical management operations in conservation agriculture (CA). To model pesticide degradation and leaching under a CA scenario, as compared to a conventional-tillage scenario (CT), the mulch module of the agro-hydrological model Daisy was extended. A Daisy soil column was parameterized with measurements of topsoil, mulch, and a realistic subsoil, and tested against published experimental data of pesticide fate in laboratory soil columns covered by mulch. Uncertainty and sensitivity analyses of the new Daisy version were conducted for a series of weather, soil, pesticide, and mulch parameters, using 4939 Monte Carlo simulations under each scenario. Results showed that there was no systematic difference in pesticide leaching from the topsoil (to the subsoil and directly to drains via drain-connected biopores) between CA and CT, but pesticide degradation and sorption were significantly different; degradation in the mulch and uppermost soil surface layer (0–3.5 cm) was larger in CA while degradation was larger in CT when considering the whole topsoil (0–30 cm). This difference for the whole topsoil could be explained by pesticide interception in CA in the part of the mulch not in direct contact with the soil where degradation is assumed not to occur. The sensitivity analysis highlighted non-influential parameters and seven parameters out of twenty-five to be better estimated to improve the accuracy of the predictions.
KW - Biopores
KW - Conservation agriculture
KW - Daisy model
KW - Drains
KW - Mulch
KW - No-till
U2 - 10.1016/j.scitotenv.2024.172559
DO - 10.1016/j.scitotenv.2024.172559
M3 - Journal article
C2 - 38641110
AN - SCOPUS:85190839822
VL - 929
JO - Science of the Total Environment
JF - Science of the Total Environment
SN - 0048-9697
M1 - 172559
ER -
ID: 401270014