The Winter Wheat Dynamic Model

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Description

The Winter Wheat Dynamic Model, a toy model to illustrate the main multisensi methods

Usage

1
biomasse(input, climdata, annee = 3)

Arguments

input

vector of input values.

annee

year.

climdata

a meteorological data.frame specific to biomasse.

Details

The Winter Wheat Dry Matter model (WWDM) is a dynamic crop model running at a daily time step (Makowski et al, 2004). It has two state variables, the above-ground winter wheat dry matter U(t), in g/m^2 and the leaf area index LAI(t) with t the day number from sowing (t=1) to harvest (t=223). In the multisensi package implementation, the biomasse function simulates the output for only one parameter set (the first row of input if it is a matrix or a data.frame).

Value

a vector of daily dry matter increase of the Winter Wheat biomass, over 223 days

Author(s)

initially Makowski, D., 2004

References

Makowski, D., Jeuffroy, M.-H., Gu\'erif, M., 2004 Bayesian methods for updating crop model predictions, applications for predicting biomass and grain protein content. In: Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain (van Boeakel et al. eds), pp. 57-68. Kluwer, Dordrecht

Monod, H., Naud, C., Makowski, D., 2006 Uncertainty and sensitivity analysis for crop models. In: Working with Dynamic Crop Models (Wallach D., Makowski D. and Jones J. eds), pp. 55-100. Elsevier, Amsterdam

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