How Should Agricultural Practices Be Integrated to Understand and Simulate Long-Term Pesticide Contamination in the Seine River Basin?

Blanchoud, Hélène; Schott, Céline; Tallec, Gaëlle; Queyrel, Wilfried; Gallois, Nicolas; Habets, Florence; Viennot, Pascal; Ansart, P.; Desportes, Annie; Tournebize, Julien; Puech, Thomas

doi:10.1007/698_2019_385

Cited by 10 publications

(9 citation statements)

References 47 publications

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“…During 1950s, after World War II, in France and many other countries, the agricultural sector made a technical revolution by the conversion of pasture to cropland and the systematic use of agrochemicals [Le Noé et al, 2018]. This intensification of agriculture, which generated diffuse excess nitrogen fertilizer and pesticides to the Seine basin streams, has been particularly studied by the PIREN-Seine since 1990 Billen et al [2020], Blanchoud et al [2021].…”

Section: The Territorial Metabolism Of the Seine Sociohydrosystemmentioning

confidence: 99%

Rivers help us to quantify the socio-ecological functioning of their basin at the Anthropocene: the Seine example (1850–2020)

Meybeck¹,

Bouleau²,

Garnier³

et al. 2024

Comptes Rendus. Géoscience

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Section: The Territorial Metabolism Of the Seine Sociohydrosystemmentioning

confidence: 99%

Rivers help us to quantify the socio-ecological functioning of their basin at the Anthropocene: the Seine example (1850–2020)

Meybeck¹,

Bouleau²,

Garnier³

et al. 2024

Comptes Rendus. Géoscience

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“…with climate change simulations (Huard et al, 2019) and/or to characterize the local spatial heterogeneity (Li et al, 2020) by downscaling a variable that was originally too coarse. Therefore, model spatialization is proving to be useful for developing an understanding of processes at different spatial scales using both upscaling and downscaling methods (Blanchoud et al, 2020;Domínguez-Álvarez et al, 2021).…”

Section: Site-specific Crop Management Applicationsmentioning

confidence: 99%

A review of methods to evaluate crop model performance at multiple and changing spatial scales

et al. 2022

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Crop models are useful tools because they can help understand many complex processes by simulating them. They are mainly designed at a specific spatial scale, the field. But with the new spatial data being made available in modern agriculture, they are being more and more applied at multiple and changing scales. These applications range from typically at broader scales, to perform regional or national studies, or at finer scales to develop modern site-specific management approaches. These new approaches to the application of crop models raise new questions concerning the evaluation of their performance, particularly for downscaled applications. This article first reviews the reasons why practitioners decide to spatialize crop models and the main methods they have used to do this, which questions the best place of the spatialization process in the modelling framework. A strong focus is then given to the evaluation of these spatialized crop models. Evaluation metrics, including the consideration of dedicated sensitivity indices are reviewed from the published studies. Using a simple example of a spatialized crop model being used to define management zones in precision viticulture, it is shown that classical model evaluation involving aspatial indices (e.g. the RMSE) is not sufficient to characterize the model performance in this context. A focus is made at the end of the review on potentialities that a complementary evaluation could bring in a precision agriculture context.

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“…At the process scale, the functioning is, for instance, studied in firstorder catchments of the rural Orgeval site (II on Fig. 1), an experimental site established in the early 1960s, initially for hydrology and drainage impacts and then for nutrient budgets and pesticides [86]. Recently, continuous records have been set up for hydrological, and especially stream aquifer interactions [87,88], and biogeochemical monitoring as part of innovative national equipment for the critical zone [89].…”

Section: The Spatio-temporal Scales Of the Research Themes Selected In This Publicationmentioning

confidence: 99%

Trajectories of the Seine River Basin

Flipo¹,

Lestel²,

Labadie³

et al. 2020

The Handbook of Environmental Chemistry

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The Seine River basin in France (76,238 km2, 17 million (M) people) has been continuously studied since 1989 by the PIREN-Seine, a multidisciplinary programme of about 100 scientists from 20 research units (hydrologists, environmental chemists, ecologists, biogeochemists, geographers, environmental historians). Initially PIREN-Seine was established to fill the knowledge gap on the river functioning, particularly downstream of the Paris conurbation (12 M people), where the pressure and impacts were at their highest in the 1980s (e.g. chronic summer hypoxia). One aim was to provide tools, such as models, to manage water resources and improve the state of the river. PIREN-Seine gradually developed into a general understanding and whole-basin modelling, from headwater streams to the estuary, of the complex interactions between the hydrosystem (surface water and aquifers), the ecosystem (phytoplankton, bacteria, fish communities), the agronomic system (crops and soils), the river users (drinking water, navigation), and the urban and industrial development (e.g. waste water treatment plants). Spatio-temporal scales of these interactions and the related state of the environment vary from the very fine (hour-meter) to the coarser scale (annual – several dozen km). It was possible to determine the trajectories (drivers-pressures – state-responses) for many issues, over the longue durée time windows (50–200 years), in relation to the specific economic and demographic evolution of the Seine basin, the environmental awareness, and the national and then European regulations. Time trajectories of the major environmental issues, from the original organic and microbial pollutants in the past to the present emerging contaminants, are addressed. Future trajectories are simulated by our interconnected modelling approaches, based on scenarios (e.g. of the agro-food system, climate change, demography, etc.) constructed by scientists and engineers of major basin institutions that have been supporting the programme in the long term. We found many cumulated and/or permanent hereditary effects on the physical, chemical, and ecological characteristics of the basin that may constrain its evolution. PIREN-Seine was launched and has been evaluated since its inception, by the National Centre for Scientific Research (CNRS), today within its national Zones Ateliers (ZA) instrument, part of the international Long-Term Socio-Economic and Ecosystem Research (LTSER) network.

show abstract

How Should Agricultural Practices Be Integrated to Understand and Simulate Long-Term Pesticide Contamination in the Seine River Basin?

Cited by 10 publications

References 47 publications

Rivers help us to quantify the socio-ecological functioning of their basin at the Anthropocene: the Seine example (1850–2020)

Rivers help us to quantify the socio-ecological functioning of their basin at the Anthropocene: the Seine example (1850–2020)

A review of methods to evaluate crop model performance at multiple and changing spatial scales

Trajectories of the Seine River Basin

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