Data and Models in Action

1. Front Matter

   Pages 1-16

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2. Practical Aspects of Modeling

   1. Front Matter

      Pages 17-19

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   2. Development of a morphogenetic model from field and lab data: modeling the seed number per node on a pea stem

      • M. H. Jeuffroy

      Pages 21-35

   3. Pathways in crop modeling for cultivation control

      • G. van Straten

      Pages 37-48

   4. Finding and using data for small scale applications of agrometeorological models such as yield forecasting at a European scale

      • P. Vossen

      Pages 49-64

3. Some statistical aspects of modeling

   1. Front Matter

      Pages 65-67

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   2. Data use and Bayesian statistics for model calibration

      • M. J. W. Jansen

      Pages 69-80

   3. Models and Scale: Up- and Down-Scaling

      • J. U. Smith

      Pages 81-98

4. Geographical Information Systems for Production Ecology

   1. Front Matter

      Pages 99-101

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   2. Modern geographic information systems and model linking

      • P. A. Longley, M. F. Goodchild

      Pages 103-118

   3. Multi-scale approaches for geodata

      • M. Molenaar

      Pages 119-141

5. Perspectives for automated modelling

   1. Front Matter

      Pages 143-145

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   2. Examples of object-oriented design in agricultural research

      • P. J. Schotman

      Pages 147-155

   3. Computer based trends in automated modeling

      • J. L. Top

      Pages 157-165

6. Back Matter

   Pages 167-184

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Under leadership of CT de Wit a large amount of modeling, building prototypes and also application, was carried out in the 1970s and 1980s. Comprehensive models were built, evaluated and carefully documented in the areas of crop growth production, plant breeding, soil water and nutrients, and in crop protection. Simulation techniques and biophysical theories developed in parallel. Simulation and experimentation always went hand in hand. Much of this work is documented in a long series of PhD theses under supervision of De Wit, in the series of Simulation Monographs (PUDOC), and in numerous other publications. This work has inspired many scientists across the global science community. The CT de Wit Graduate School of Production Ecology (PE) of the Wageningen University builds further on this platform and finds new subjects for research on and with models, and data. The PE platform provides also an excellent opportunity to develop contacts, cooperation and joint software with research groups in related fields and abroad. This book precipitates from such an exploration in new directions. We realize that modem information systems and statistics can offer a substantial contribution to the modelling framework. Good examples can be found here, and these provide a clear direction for the years to come.

• agriculture
• bayesian statistics
• ecology
• geographical information system
• modeling
• statistics

`I would recommend this book for modelers that want to stay on top of the rapidly evolving field of ecological modeling. '
Journal of Environmental Quality, 31:3

• Department of Environmental Sciences, Wageningen Agricultural University, Wageningen, The Netherlands

  A. Stein

• International Board for Soil Research and Management (IBSRAM), Bangkhen, Bangkok, Thailand

  F. W. T. Penning Vries

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