The ‘School of de Wit’ crop growth simulation models: A pedigree and historical overview
Identifieur interne : 001593 ( Main/Exploration ); précédent : 001592; suivant : 001594The ‘School of de Wit’ crop growth simulation models: A pedigree and historical overview
Auteurs : B. A. M. Bouman [Pays-Bas] ; H. Van Keulen [Pays-Bas] ; H. H. Van Laar [Pays-Bas] ; R. Rabbinge [Pays-Bas]Source :
- Agricultural Systems [ 0308-521X ] ; 1996.
Abstract
In this paper, a pedigree of the crop growth simulation models by the ‘School of de Wit’ is presented. The origins and philosophy of this school are traced from de Wit's classical publication on modelling photosynthesis of leaf canopies in 1965. It is shown how changing research goals and priorities over the years have resulted in the evolution of a pedigree of models that are similar in philosophy but differ in level of complexity, the processes addressed and their functionality. In the beginning, modelling was motivated by the quest for scientific insight and the wish to quantify and integrate biophysical processes to explain the observed variation in crop growth. Later, the emphasis of, and funding for, agricultural research shifted towards putting acquired insights to practical and operational use. Model development became led by a demand for tactical and strategic decision support, yield forecasting, land zonation and explorative scenario studies. Modelling developments for different production situations are illustrated using the models the authors consider most important, i.e. BACROS, SUCROS, WOFOST, MACROS and LINTUL, but reference is also made to other models. Finally, comments are made about the usefulness and applicability of these models after nearly 30 years of development, and some future courses of action are suggested.
Url:
DOI: 10.1016/0308-521X(96)00011-X
Affiliations:
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The origins and philosophy of this school are traced from de Wit's classical publication on modelling photosynthesis of leaf canopies in 1965. It is shown how changing research goals and priorities over the years have resulted in the evolution of a pedigree of models that are similar in philosophy but differ in level of complexity, the processes addressed and their functionality. In the beginning, modelling was motivated by the quest for scientific insight and the wish to quantify and integrate biophysical processes to explain the observed variation in crop growth. Later, the emphasis of, and funding for, agricultural research shifted towards putting acquired insights to practical and operational use. Model development became led by a demand for tactical and strategic decision support, yield forecasting, land zonation and explorative scenario studies. Modelling developments for different production situations are illustrated using the models the authors consider most important, i.e. BACROS, SUCROS, WOFOST, MACROS and LINTUL, but reference is also made to other models. Finally, comments are made about the usefulness and applicability of these models after nearly 30 years of development, and some future courses of action are suggested.</div></front></TEI><affiliations><list><country><li>Pays-Bas</li></country></list><tree><country name="Pays-Bas"><noRegion><name sortKey="Bouman, B A M" sort="Bouman, B A M" uniqKey="Bouman B" first="B. A. M." last="Bouman">B. A. M. Bouman</name></noRegion><name sortKey="Rabbinge, R" sort="Rabbinge, R" uniqKey="Rabbinge R" first="R." last="Rabbinge">R. Rabbinge</name><name sortKey="Van Keulen, H" sort="Van Keulen, H" uniqKey="Van Keulen H" first="H." last="Van Keulen">H. Van Keulen</name><name sortKey="Van Laar, H H" sort="Van Laar, H H" uniqKey="Van Laar H" first="H. H." last="Van Laar">H. H. Van Laar</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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