Kresoxim methyl deposition, drift and runoff in a vineyard catchment

Lefrancq, Marie; Imfeld, Gwenaël; Payraudeau, Sylvain; Millet, Maurice

doi:10.1016/j.scitotenv.2012.09.082

Cited by 52 publications

(34 citation statements)

References 24 publications

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“…This suggests that the model structure misses important processes that control concentrations during rainfall events. A possible candidate for such a process is drift deposition on roads and subsequent runoff during rainfall (e.g., Lefrancq et al, 2013). Interestingly, this systematic problem during the calibration phase was only partially observed during validation.…”

Section: Model Limitations 10mentioning

confidence: 99%

Modelling biocide and herbicide concentrations in catchments of the Rhine basin

Möser¹,

Wemyss²,

Scheidegger³

et al. 2017

Preprint

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Abstract. Impairment of water quality by organic micropollutants such as pesticides, pharmaceuticals or household 10 chemicals is a problem in many catchments worldwide. These chemicals originate from different urban and agricultural usages and are transferred to surface waters from point or diffuse sources by a number of transport pathways. The quantification of this form of pollution in streams is challenging and especially demanding for diffuse pollution due to the high spatio-temporal concentration dynamics, which requires large sampling and analytical efforts to obtain representative data on the actual water quality. 15 Models can also be used to predict information to which degree streams are affected by these pollutants. However, spatially distributed modeling of water quality is challenging for a number of reasons. Key issues are the lack of such models that incorporate both urban and agricultural sources of organic micropollutants, the large number of parameters to be estimated for many available water quality models, and the difficulty to transfer parameter estimates from calibration sites to areas 20 where predictions are needed.To overcome these difficulties, we used the parsimonious iWaQa model that simulates herbicide transport from agricultural fields and diffuse biocide losses from urban areas (mainly façades and roof materials) and tested its predictive capabilities in the Rhine River basin. The model only requires between one and eight global model parameters per compound that need to 25 be calibrated. Most of the data requirements relate to spatially distributed land use and comprehensive time series of precipitation, air temperature and spatial data on discharge.The model was calibrated with data sets from three different small catchments (0.5 -24.6 km 2 ) for three agricultural herbicides (isoproturon, S-metolachlor, terbuthylazine) and two urban biocides (carbendazim, diuron). Subsequently, it was 30 validated for different years on 12 catchments of much larger size (31 -160'000 km 2 ) without any modification. For most compound-catchment combinations, the model predictions revealed a satisfactory correlation (median r 2 : 0.5) with the observations and the peak concentrations mostly predicted within a factor of two to four (median: 2.1 fold difference for herbicides and 3.2 for biocides respectively). The seasonality of the peak concentration was also well simulated, the predictions of the actual timing of peak concentrations however, was generally poor. 35Limited spatio-temporal data, first on the use of the selected pesticides and second on their concentrations in the river network, restrict the possibilities to scrutinise model performance. Nevertheless, the results strongly suggest that input data and model structure are major sources of predictive uncertainty. The latter is for example seen in background concentrations that are systematically overestimated in certain regions, which is most probably linked to the modelled coupling of 40 background concentrations to land use intensity.H...

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Section: Model Limitations 10mentioning

confidence: 99%

Modelling biocide and herbicide concentrations in catchments of the Rhine basin

Möser¹,

Wemyss²,

Scheidegger³

et al. 2017

Preprint

View full text Add to dashboard Cite

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“…25.3 ha), forests and pasture (29%), grassed strips and ditches (7%), as well as roads and paths (5%). Roads and paths represent the principal route of water flow in this catchment (Lefrancq et al, 2013).…”

Section: Study Catchment and Soilsmentioning

confidence: 99%

“…The rainfall was monitored by a meteorological station located in the catchment (Lefrancq et al, 2013). Rainfall between May and July averaged 187 ± 64 mm (1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011) and was 157 mm during the study period (from 11 th May to 20 th July).…”

Section: Study Catchment and Soilsmentioning

confidence: 99%

Copper in soil fractions and runoff in a vineyard catchment: Insights from copper stable isotopes

Babcsányi

Chabaux

Granet

et al. 2016

Science of The Total Environment

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Understanding the fate of copper (Cu) fungicides in vineyard soils and catchments is a prerequisite to limit the off-site impact of Cu. Using Cu stable isotopes, Cu retention in soils and runoff transport was investigated in relation to the use of Cu fungicides and the hydrological conditions in a vineyard catchment (Rouffach, Haut-Rhin, France; mean slope: 15%). The δ(65)Cu values of the bulk vineyard soil varied moderately through the depth of the soil profiles (-0.12 to 0.24‰±0.08‰). The values were in the range of those of the fungicides (-0.21 to 0.11‰) and included the geogenic δ(65)Cu value of the untreated soil (0.08‰). However, δ(65)Cu values significantly differed between particle-size soil fractions (-0.37±0.10‰ in fine clays and 0.23±0.07‰ in silt). Together with the soil mineralogy, the results suggested Cu isotope fractionation primarily associated with the clay and fine clay fractions that include both SOM and mineral phases. The vegetation did not affect the Cu isotope patterns in the vineyard soils. Cu export by runoff from the catchment accounted for 1% of the applied Cu mass from 11th May to 20(th) July 2011, covering most of the Cu use period. 84% of the exported Cu mass was Cu bound to suspended particulate matter (SPM). The runoff displayed δ(65)Cu values from 0.52 to 1.35‰ in the dissolved phase (<0.45μm) compared to -0.34 to -0.02‰ in the SPM phase, indicating that clay and fine clay fractions were the main vectors of SPM-bound Cu in runoff. Overall, this study shows that Cu stable isotopes may allow identifying the Cu distribution in the soil fractions and their contribution to Cu export in runoff from Cu-contaminated catchments.

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“…Depletion of soil fertility in general, along with the concomitant problems of weeds, pests and diseases, is the fundamental root cause of low agricultural production on a global level (Tan et al, 2005). Even if grapevines are not demanding with regard to nutrients, they nevertheless require an adequate supply, which may no longer exist in terroirs where the soils are undergoing degradation processes, especially soil losses (Le Bissonnais et al, 2007;Martínez-Casasnovas et al, 2009Paroissien et al, 2010;Novara et al, 2011;Quiquerez et al, 2014;Chevigny et al, 2014;Lieskovsky and Kenderessy, 2014), nutrient depletion (Ramos and Martínez-Casanovas, 2006), compaction (Lagacherie et al, 2006), salinization and sodization (Clark et al, 2002;Crescimanno and Garofalo, 2006; al., 2007; Costantini and Lorenzetti, 2013), pesticide runoff and deposition (Landry et al, 2005;Louchart and Voltz, 2007;Lacas et al, 2012;Daouk et al, 2013;Lefrancq et al, 2013) and copper contamination (Pieztrak and McPhail, 2004;Chopin et al, 2008;Komárek et al, 2008;Wightwick et al, 2008;Mirlean et al, 2007Mirlean et al, , 2009Rusjan et al, 2007;El Hadri et al, 2012;Fernández-Calviño et al, 2013;El Azzi et al, 2013;Lai et al, 2013). In Burgundy, using vine-stock unearthing-burying measurements (Brenot et al, 2008), Chevigny et al (2014) estimated that the erosion rate had increased significantly over the last decade and also that the spatial distribution of erosion had changed and was now basically controlled by ...…”

Section: Outlook: Terroir Sustainability Assessment and The Design Ofmentioning

confidence: 99%

An overview of the recent approaches to terroir functional modelling, footprinting and zoning

Vaudour

Costantini²,

Jones

et al. 2015

SOIL

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Abstract. Notions of terroir and their conceptualization through agro-environmental sciences have become popular in many parts of world. Originally developed for wine, terroir now encompasses many other crops including fruits, vegetables, cheese, olive oil, coffee, cacao and other crops, linking the uniqueness and quality of both beverages and foods to the environment where they are produced, giving the consumer a sense of place. Climate, geology, geomorphology and soil are the main environmental factors which make up the terroir effect on different scales. Often considered immutable culturally, the natural components of terroir are actually a set of processes, which together create a delicate equilibrium and regulation of its effect on products in both space and time. Due to both a greater need to better understand regional-to-site variations in crop production and the growth in spatial analytic technologies, the study of terroir has shifted from a largely descriptive regional science to a more applied, technical research field. Furthermore, the explosion of spatial data availability and sensing technologies has made the within-field scale of study more valuable to the individual grower. The result has been greater adoption of these technologies but also issues associated with both the spatial and temporal scales required for practical applications, as well as the relevant approaches for data synthesis. Moreover, as soil microbial communities are known to be of vital importance for terrestrial processes by driving the major soil geochemical cycles and supporting healthy plant growth, an intensive investigation of the microbial organization and their function is also required. Our objective is to present an overview of existing data and modelling approaches for terroir functional modelling, footprinting and zoning on local and regional scales. This review will focus on two main areas of recent terroir research: (1) using new tools to unravel the biogeochemical cycles of both macro-and micronutrients, the biological and chemical signatures of terroirs (i.e. the metagenomic approach and regional fingerprinting); (2) terroir zoning on different scales: mapping terroirs and using remoteand proxy-sensing technologies to monitor soil quality and manage the crop system for better food quality.

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Kresoxim methyl deposition, drift and runoff in a vineyard catchment

Cited by 52 publications

References 24 publications

Modelling biocide and herbicide concentrations in catchments of the Rhine basin

Modelling biocide and herbicide concentrations in catchments of the Rhine basin

Copper in soil fractions and runoff in a vineyard catchment: Insights from copper stable isotopes

An overview of the recent approaches to terroir functional modelling, footprinting and zoning

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