Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 408457
Title Using a cropping system model at regional scale: Low-data approaches for crop management information and model calibration
Author(s) Therond, O.; Hengsdijk, H.; Casellas, E.; Wallach, D.; Adam, M.Y.O.; Belhouchette, H.; Oomen, R.; Russell, G.; Ewert, F.; Bergez, J.E.; Janssen, S.J.C.; Wery, J.; Ittersum, M.K. van
Source Agriculture, Ecosystems and Environment 142 (2011)1-2. - ISSN 0167-8809 - p. 85 - 94.
Department(s) PPO/PRI AGRO Duurzame Bedrijfssystemen
Plant Production Systems
CGI - Spatial Models and Knowledge Systems
Publication type Refereed Article in a scientific journal
Publication year 2011
Keyword(s) simulation-models - climate-change - wheat yields - environment - adaptation - impacts - europe - level - co2
Abstract Cropping system models are powerful tools for regional impact assessment, but their input data requirements for large heterogeneous areas are difficult to fulfil. Hence, the objectives of this paper are to present low-data approaches for specifying detailed management data required by cropping system models, and for calibrating default crop parameters applied to 12 regions in the European Union (EU). Various downscaling and upscaling procedures for different data types are applied to address both objectives. The Agricultural Production and Externalities Simulator (APES) model is used for illustrative purposes. Combining easy-to-collect regional crop management information and expert knowledge enables to develop generic, expert-based rules for specifying crop management. Effects of these expert-based management rules on simulated yields and nitrogen leaching are illustrated using APES. Simulated yields of grain maize, soft wheat and durum wheat using default crop parameters for phenology are compared with crop yields observed in 12 EU regions. The accuracy of the simulated yields was variable, but generally poor. A regional calibration factor Kpheno is developed based on the temperature sum of the average sowing and harvest dates of the three crops in each region. Applying this calibration factor improved the simulated yields in all cases. Results suggest that it is possible to develop expert-based management rules and to capture yield variation across the EU by using the presented low-data approaches.
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