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

Author

Listed:
  • Moreau, Pierre
  • Ruiz, Laurent
  • Vertès, Françoise
  • Baratte, Christine
  • Delaby, Luc
  • Faverdin, Philippe
  • Gascuel-Odoux, Chantal
  • Piquemal, Benoit
  • Ramat, Eric
  • Salmon-Monviola, Jordy
  • Durand, Patrick

Abstract

This work presents the new integrative model CASIMOD’N (Catchment and Agricultural Systems Integrated MODel for Nitrogen), which assesses effects of farming systems on nitrogen (N) dynamics at the catchment level. Its main innovation is the consideration of the level of the farming system through production strategies, farmer decisions and the expression of decisions as management practices, along with the link between these farming systems, their practices and water pollution. CASIMOD’N integrates farming systems at the farm level and N transfers and transformations at the field, farm and catchment levels. It was built by adapting and combining three models: the catchment-scale biophysical model TNT2 and two farm-scale models, TOURNESOL and FUMIGENE, for the allocation of land use and manure, respectively. The intrinsic logic behind farming system design and function was represented by ensuring agreement between livestock-feeding and manure-management strategies under specific farm constraints (land fragmentation, distance between fields and farmyards) and agronomic rules. The model is able to simulate management practices (crop, manure and mineral fertiliser allocation).

Suggested Citation

  • Moreau, Pierre & Ruiz, Laurent & Vertès, Françoise & Baratte, Christine & Delaby, Luc & Faverdin, Philippe & Gascuel-Odoux, Chantal & Piquemal, Benoit & Ramat, Eric & Salmon-Monviola, Jordy & Durand, , 2013. "CASIMOD’N: An agro-hydrological distributed model of catchment-scale nitrogen dynamics integrating farming system decisions," Agricultural Systems, Elsevier, vol. 118(C), pages 41-51.
    • Handle: RePEc:eee:agisys:v:118:y:2013:i:c:p:41-51
    DOI: 10.1016/j.agsy.2013.02.007
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    1. Corson, Michael S. & Alan Rotz, C. & Howard Skinner, R. & Sanderson, Matt A., 2007. "Adaptation and evaluation of the integrated farm system model to simulate temperate multiple-species pastures," Agricultural Systems, Elsevier, vol. 94(2), pages 502-508, May.
    2. Castellazzi, M.S. & Wood, G.A. & Burgess, P.J. & Morris, J. & Conrad, K.F. & Perry, J.N., 2008. "A systematic representation of crop rotations," Agricultural Systems, Elsevier, vol. 97(1-2), pages 26-33, April.
    3. Matthews, K.B. & Wright, I.A. & Buchan, K. & Davies, D.A. & Schwarz, G., 2006. "Assessing the options for upland livestock systems under CAP reform: Developing and applying a livestock systems model within whole-farm systems analysis," Agricultural Systems, Elsevier, vol. 90(1-3), pages 32-61, October.
    4. Matthews, K.B. & Buchan, K. & Sibbald, A.R. & Craw, S., 2006. "Combining deliberative and computer-based methods for multi-objective land-use planning," Agricultural Systems, Elsevier, vol. 87(1), pages 18-37, January.
    5. Sorel, Luc & Viaud, Valérie & Durand, Patrick & Walter, Christian, 2010. "Modeling spatio-temporal crop allocation patterns by a stochastic decision tree method, considering agronomic driving factors," Agricultural Systems, Elsevier, vol. 103(9), pages 647-655, November.
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    1. Chantal Gascuel & Michèle Tixier-Boichard & Benoit Dedieu & Cécile Détang-Dessendre & Pierre Dupraz & Philippe Faverdin & Laurent Hazard & Philippe Hinsinger & Isabelle Litrico-Chiarelli & Françoise M, 2019. "Réflexion prospective interdisciplinaire pour l’agroécologie. Rapport de synthèse," Post-Print hal-02154433, HAL.
    2. Kathrin Hasler & Hans-Werner Olfs & Onno Omta & Stefanie Bröring, 2017. "Drivers for the Adoption of Different Eco-Innovation Types in the Fertilizer Sector: A Review," Sustainability, MDPI, vol. 9(12), pages 1-22, November.

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