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Dive into the research topics where Jordy Salmon-Monviola is active.

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Featured researches published by Jordy Salmon-Monviola.


Science of The Total Environment | 2009

Modelling denitrification at the catchment scale

François Oehler; Patrick Durand; Paul Bordenave; Zakaria Saadi; Jordy Salmon-Monviola

The objective of this work was to evaluate the importance of heterotrophic denitrification in the fate of nitrogen surpluses at the catchment scale. For that purpose we modified the denitrification module of TNT2 model and calibrated the model on a small catchment where denitrification measurements had been performed in different locations. The main interest of the TNT2 model is its ability to simulate the dynamics of the zones where soil and shallow water table interact, making it possible to spatialize the denitrification process. Daily water and nitrogen flux at the outlet were relatively well simulated (Nash of 0.85 and 0.77). In average, the model correctly simulates the denitrification measurements (R=0.68). Nitrogen flux towards the atmosphere, at the catchment scale (4.70 g N m(-2) year(-1)), is of the same order of magnitude as the soluble N flux in the stream. The model was able to reproduce the distribution of denitrification in the riparian (mean of 9.26 g N m(-2) year(-1)) and hillslope (mean of 3.45 g N m(-2) year(-1)) domains of the catchment. The results confirm the importance of riparian denitrification, but show also that hillslope soils contribute significantly (60%) to the whole catchment denitrification. The variations of denitrification rates, and also of nitrate concentrations in stream were not very well simulated by the model, highlighting the complexity of the spatial and temporal controls of nitrogen dynamics in areas with high inputs of nitrogen fertilizers, especially under organic forms.


Environmental Pollution | 2011

NitroScape: A model to integrate nitrogen transfers and transformations in rural landscapes

Sylvia Duretz; Jean-Louis Drouet; Patrick Durand; Nick Hutchings; Mark R. Theobald; Jordy Salmon-Monviola; U. Dragosits; Olivier Maury; Mark A. Sutton; Pierre Cellier

Modelling nitrogen transfer and transformation at the landscape scale is relevant to estimate the mobility of the reactive forms of nitrogen (N(r)) and the associated threats to the environment. Here we describe the development of a spatially and temporally explicit model to integrate N(r) transfer and transformation at the landscape scale. The model couples four existing models, to simulate atmospheric, farm, agro-ecosystem and hydrological N(r) fluxes and transformations within a landscape. Simulations were carried out on a theoretical landscape consisting of pig-crop farms interspersed with unmanaged ecosystems. Simulation results illustrated the effect of spatial interactions between landscape elements on N(r) fluxes and losses to the environment. More than 10% of the total N(2)O emissions were due to indirect emissions. The nitrogen budgets and transformations of the unmanaged ecosystems varied considerably, depending on their location within the landscape. The model represents a new tool for assessing the effect of changes in landscape structure on N(r) fluxes.


Science of The Total Environment | 2012

Modeling the potential benefits of catch-crop introduction in fodder crop rotations in a Western Europe landscape

Pierre Moreau; Laurent Ruiz; Thierry Raimbault; Francoise Vertes; Marie-Odile Cordier; Chantal Gascuel-Odoux; Véronique Masson; Jordy Salmon-Monviola; Patrick Durand

Among possible mitigation options to reduce agricultural-borne nitrate fluxes to water bodies, introduction of catch crop before spring crops is acknowledged as a cost-efficient solution at the plot scale, but it was rarely assessed at the catchment level. This study aims to evaluate a set of catch crop implantation scenarios and their consequences in a coastal catchment prone to eutrophication. The objectives are (i) to discuss the potential benefits of catch crop introduction taking into account the limitations due to the physiographic and agricultural context of the area (ii) to propose a multicriteria classification of these scenarios as a basis for discussion with stakeholders. We used the distributed agro-hydrological model TNT2 to simulate 25 scenarios of catch crop management, differing in length of catch crop growing period, place in the crop rotation and residue management. The scenarios were classified considering the variations in main crop yields and either nitrogen fluxes in stream or the global nitrogen mass balance at the catchment level. The simulations showed that in the catchment studied, little improvement can be expected from increasing the catch crop surface. Catch crop cultivation was always beneficial to reduce nitrogen losses, but led to adverse effects on main crop yields in some cases. Among the scenarios involving additional catch crop surface, introducing catch crop between two winter cereals appeared as the most promising. The classification of scenarios depended on the chosen criteria: when considering only the reduction of nitrogen fluxes in streams, exporting catch crop residues was the most efficient while when considering the global nitrogen mass balance, soil incorporation of catch crop residues was the most beneficial. This work highlights the interest, while using integrated models, of assessing simulated scenarios with multicriteria approach to provide stakeholder with a picture as complete as possible of the consequences of prospective policies.


Journal of Hydrology | 2011

Understanding nitrogen transfer dynamics in a small agricultural catchment: Comparison of a distributed (TNT2) and a semi distributed (SWAT) modeling approaches

Sylvain Ferrant; François Oehler; Patrick Durand; Laurent Ruiz; Jordy Salmon-Monviola; Eric Justes; Philippe Dugast; Anne Probst; Jean-Luc Probst; José-Miguel Sánchez-Pérez


Agricultural Systems | 2013

CASIMOD’N: An agro-hydrological distributed model of catchment-scale nitrogen dynamics integrating farming system decisions

Pierre Moreau; Laurent Ruiz; Francoise Vertes; Christine Baratte; Luc Delaby; Philippe Faverdin; Chantal Gascuel-Odoux; Benoit Piquemal; Eric Ramat; Jordy Salmon-Monviola; Patrick Durand


congress on modelling and simulation | 2004

A machine learning approach for evaluating the impact of land use and management practices on streamwater pollution by pesticides

Marie-Odile Cordier; Frédérick Garcia; Chantal Gascuel; Véronique Masson; Jordy Salmon-Monviola; Florent Tortrat; Ronan Trépos


Hydrology and Earth System Sciences | 2014

Agro-hydrology and multi-temporal high-resolution remote sensing: toward an explicit spatial processes calibration

Sylvain Ferrant; Simon Gascoin; Amanda Veloso; Jordy Salmon-Monviola; Martin Claverie; Vincent Rivalland; Gérard Dedieu; V. Demarez; Eric Ceschia; Jean-Luc Probst; Patrick Durand; Vincent Bustillo


Agriculture, Ecosystems & Environment | 2011

Simulating the effect of techniques and environmental constraints on the spatio-temporal distribution of herbicide applications and stream losses

Jordy Salmon-Monviola; Chantal Gascuel-Odoux; Frédérick Garcia; Florent Tortrat; Marie-Odile Cordier; Véronique Masson; Ronan Trépos


European Journal of Agronomy | 2014

Contrasting the spatial management of nitrogen and phosphorus for improved water quality: Modelling studies in New Zealand and France

R. W. Mcdowell; Pierre Moreau; Jordy Salmon-Monviola; Patrick Durand; Philippe Leterme; Philippe Merot


Remote Sensing | 2016

Extracting Soil Water Holding Capacity Parameters of a Distributed Agro-Hydrological Model from High Resolution Optical Satellite Observations Series

Sylvain Ferrant; Vincent Bustillo; Enguerrand Burel; Jordy Salmon-Monviola; Martin Claverie; Nathalie Jarosz; Tiangang Yin; Vincent Rivalland; Gérard Dedieu; V. Demarez; Eric Ceschia; Anne Probst; Ahmad Al-Bitar; Yann Kerr; Jean-Luc Probst; Patrick Durand; Simon Gascoin

Collaboration


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Patrick Durand

Institut national de la recherche agronomique

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Pierre Moreau

Institut national de la recherche agronomique

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Laurent Ruiz

Indian Institute of Science

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Anne Probst

University of Toulouse

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Chantal Gascuel-Odoux

Institut national de la recherche agronomique

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Francoise Vertes

Institut national de la recherche agronomique

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Thierry Raimbault

Institut national de la recherche agronomique

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