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WaLIS--A simple model to simulate water partitioning in a crop association: The example of an intercropped vineyard

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  • Celette, Florian
  • Ripoche, Aude
  • Gary, Christian

Abstract

The introduction of cover crops in vineyards is being tested as it mitigates some undesirable environmental impacts of these cropping systems, such as surface runoff and soil erosion. In some cases, it could even reduce an excessive vegetative vigour of grapevine. However, most of time, wine growers are worried that severe competition for soil resources between the intercrop and grapevines could impair grape yield and quality. WaLIS (Water baLance for Intercropped Systems), a simple model simulating the water resource partitioning in such an association was designed to evaluate and optimize the water regime in intercropped systems. The model is presented and evaluated in this paper in three situations: the same grapevine cultivar (cv. Aranel) with either bare soil, or a temporary intercrop (barley) or a permanent intercrop (tall fescue). All three situations are located in the south of France. It is based on an existing model, designed to simulate the water regime of a bare soil vineyard, which was adapted to take into account the specific features of intercropped systems. Hence it includes a two-compartment representation of the soil particularly adapted to row crops. The simulation of a grass cover growth and its transpiration were added. Finally, particular importance was dedicated to the simulation of surface runoff which was the main source of the original model deviation during the winter period and made difficult multi-year simulations. Now, the model appears to be able to evaluate perennial cropping systems and provide decision support. The WaLIS model simulated the water available for both grapevine and intercrop well, and it proved to be efficient in most of the tested situations and years. The modelling of the water stress experienced by both crops was also generally good and all water fluxes simulated by the model were realistic. The main observed deviation in the simulation of the water soil content occurred during winter, i.e. outside the grapevine growth period. It was very likely due to the use of a constant parameter value for the surface runoff which did not take into account of changes in the soil surface and their effects on water infiltration. Finally, the analysis of sensitivity made on the WaLIS model showed that it is robust and sensitive to a few parameters, which drive the maximal grapevine transpiration and soil evaporation or are linked to the surface runoff simulation. The work also revealed how a good estimate of the total soil water available for each crop is crucial. This model, easy to use and parameterise, can provide sound management advice for designing valuable intercropped cropping systems.

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  • Celette, Florian & Ripoche, Aude & Gary, Christian, 2010. "WaLIS--A simple model to simulate water partitioning in a crop association: The example of an intercropped vineyard," Agricultural Water Management, Elsevier, vol. 97(11), pages 1749-1759, November.
    • Handle: RePEc:eee:agiwat:v:97:y:2010:i:11:p:1749-1759
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    References listed on IDEAS

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    1. Chanasyk, D. S. & Mapfumo, E. & Willms, W., 2003. "Quantification and simulation of surface runoff from fescue grassland watersheds," Agricultural Water Management, Elsevier, vol. 59(2), pages 137-153, March.
    2. Gaudin, Rémi & Celette, Florian & Gary, Christian, 2010. "Contribution of runoff to incomplete off season soil water refilling in a Mediterranean vineyard," Agricultural Water Management, Elsevier, vol. 97(10), pages 1534-1540, October.
    3. Abrisqueta, J.M. & Plana, V. & Mounzer, O.H. & Mendez, J. & Ruiz-Sanchez, M.C., 2007. "Effects of soil tillage on runoff generation in a Mediterranean apricot orchard," Agricultural Water Management, Elsevier, vol. 93(1-2), pages 11-18, October.
    4. Duru, M. & Adam, M. & Cruz, P. & Martin, G. & Ansquer, P. & Ducourtieux, C. & Jouany, C. & Theau, J.P. & Viegas, J., 2009. "Modelling above-ground herbage mass for a wide range of grassland community types," Ecological Modelling, Elsevier, vol. 220(2), pages 209-225.
    5. Moret, D. & Arrue, J.L. & Lopez, M.V. & Gracia, R., 2006. "Influence of fallowing practices on soil water and precipitation storage efficiency in semiarid Aragon (NE Spain)," Agricultural Water Management, Elsevier, vol. 82(1-2), pages 161-176, April.
    6. Willey, R. W., 1990. "Resource use in intercropping systems," Agricultural Water Management, Elsevier, vol. 17(1-3), pages 215-231, January.
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    Cited by:

    1. Roux, Sébastien & Gaudin, Rémi & Tisseyre, Bruno, 2019. "Why does spatial extrapolation of the vine water status make sense? Insights from a modelling approach," Agricultural Water Management, Elsevier, vol. 217(C), pages 255-264.
    2. Cancela, J.J. & Fandiño, M. & Rey, B.J. & Martínez, E.M., 2015. "Automatic irrigation system based on dual crop coefficient, soil and plant water status for Vitis vinifera (cv Godello and cv Mencía)," Agricultural Water Management, Elsevier, vol. 151(C), pages 52-63.
    3. Knowling, Matthew J. & Bennett, Bree & Ostendorf, Bertram & Westra, Seth & Walker, Rob R. & Pellegrino, Anne & Edwards, Everard J. & Collins, Cassandra & Pagay, Vinay & Grigg, Dylan, 2021. "Bridging the gap between data and decisions: A review of process-based models for viticulture," Agricultural Systems, Elsevier, vol. 193(C).
    4. Wang, Zikui & Wu, Yuhuan & Cao, Quan & Shen, Yuying & Zhang, Baoqing, 2021. "Modeling the coupling processes of evapotranspiration and soil water balance in agroforestry systems," Agricultural Water Management, Elsevier, vol. 250(C).
    5. Naulleau, Audrey & Gary, Christian & Prévot, Laurent & Vinatier, Fabrice & Hossard, Laure, 2022. "How can winegrowers adapt to climate change? A participatory modeling approach in southern France," Agricultural Systems, Elsevier, vol. 203(C).
    6. Gaudin, Rémi & Roux, Sébastien & Tisseyre, Bruno, 2017. "Linking the transpirable soil water content of a vineyard to predawn leaf water potential measurements," Agricultural Water Management, Elsevier, vol. 182(C), pages 13-23.
    7. Strack, Timo & Stoll, Manfred, 2022. "Soil water dynamics and drought stress response of Vitis vinifera L. in steep slope vineyard systems," Agricultural Water Management, Elsevier, vol. 274(C).

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