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How to Use a “Virtual Field” to Evaluate and Design Integrated Weed Management Strategies at Different Spatial and Temporal Scales

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Decision Support Systems for Weed Management

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Abstract

Switching from intensive herbicide-based to agroecological weed management needs models to explore the vast range of possible combinations of cropping techniques, to assess long-term effects and weed (dis)services. This chapter presents the mechanistic FlorSys model, a “virtual field” simulating daily weed and crop growth and reproduction over the years, on which arable cropping systems can be experimented in temperate climates. The model inputs include a detailed description of the cropping system, soil characteristics, weather and the regional weed species pool. A detailed life cycle predicts daily state variables describing weeds, crops and soil conditions depending on inputs, with a 3D individual-based representation of the multispecies crop–weed canopy. Effects on a given plant or seed depend on weather and soil conditions, management operations, biophysical environment as well as species, plant morphology and stage. To simplify the addition of new species, difficult-to-measure model parameters are estimated with functional relationships from easily measured species traits, trait databases and expert opinion. To simplify the comparison of cropping systems, the detailed daily and 3D outputs are translated into indicators assessing crop production and weed (dis)services. A series of case studies illustrates how the model is used to (1) optimise individual cropping techniques with frequency analyses, (2) run multicriteria evaluations of existing and prospective cropping systems at the field and landscape scales, (3) identify the cropping techniques and species traits that drive crop production and weed (dis)services and (4) design innovative cropping systems and to promote integrated weed management in participatory workshops with farmers.

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Authors and Affiliations

  1. Agroécologie, Subgroup Dijon, INRAE, Univ. Bourgogne, Univ. Bourgogne Franche-Comté, Dijon, France

    Nathalie Colbach

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  1. Nathalie Colbach
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Correspondence to Nathalie Colbach .

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Editors and Affiliations

  1. Departamento de Agronomía, Universidad Nacional del Sur - CERZOS/CONICET, Bahía Blanca, Buenos Aires, Argentina

    Guillermo R. Chantre

  2. Department of Crop Protection, Institute for Sustainable Agriculture, Córdoba, Córdoba, Spain

    José L. González-Andújar

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Colbach, N. (2020). How to Use a “Virtual Field” to Evaluate and Design Integrated Weed Management Strategies at Different Spatial and Temporal Scales. In: Chantre, G., González-Andújar, J. (eds) Decision Support Systems for Weed Management. Springer, Cham. https://doi.org/10.1007/978-3-030-44402-0_11

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