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Farm-SAFE: The process of developing a plot- and farm-scale model of arable, forestry, and silvoarable economics

By Anil R. Graves, Paul J. Burgess, F. Liagre, J.-P. Terreaux, T. Borrel, Christian Dupraz, João H. N. Palma and F. Herzog


Financial feasibility and financial return are two key issues that farmers and land owners consider when deciding between alternative land uses such as arable farming, forestry and agroforestry. Moreover regional variations in yields, prices and government grants mean that the relative revenue and cost of such systems can vary substantially within Europe. To aid our understanding of these variations, the European Commission sponsored a research project called “Silvoarable Agroforestry For Europe” (SAFE). This paper describes the process of developing a new economic model within that project. The initial stages included establishing criteria for the model with end-users and reviewing the literature and existing models. This indicated that the economic model needed to allow comparison of arable farming, forestry and agroforestry systems at a plot- and a farm-scale. The form of comparisons included net margins, net present values, infinite net present values, equivalent annual values, and labour requirements. It was decided that the model would operate in a spreadsheet format, and the effect of phased planting patterns would be included at a farm- scale. Following initial development, additional user feedback led to a final choice on a model name, a final method of collating input data, and the inclusion of field-based operations such as varying the cropped area, replacing dead trees, and pruning. In addition options in terms of improved graphical outputs and the ability to undertake sensitivity analysis were developed. Some of the key lessons learnt include the need to establish clear model criteria and the benefits of developing a working prototype at an early stage to gain user- feed

Topics: cost-benefit analysis, net present value, economic analysis, economic model, equivalent annual value
Publisher: Springer Science Business Media
Year: 2011
DOI identifier: 10.1007/s10457-010-9363-2
OAI identifier:
Provided by: Cranfield CERES

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  1. (1991). A spreadsheet approach to the economic modelling of agroforestry systems. doi
  2. (2000). Agroforestry Calculator User Manual. A report for the Rural Industries Research and
  3. (2009). Application of the ecosystem function framework to perceptions of community woodlands. doi
  4. (1997). ARBUSTRA Manuel de l‟utilisateur. User manual for ARBUSTRA, Centre Régional de la Propriété Forestière (CRPF) and l'Institut National de la Recherche Agronomique (INRA)
  5. (1990). Bio-economic modelling in agroforestry: a rubber-cacao example. doi
  6. (2003). Decision Making with Insight.
  7. (1998). Economic incentives for farmers in the Philippine uplands to adopt hedgerow intercropping. doi
  8. (2005). Ecosystems and Human Well-Being Synthesis. doi
  9. (1999). Evaluating Agroforestry Options: A Continuing Professional Development Course. Forest Research,
  10. (2009). Farmer perceptions of silvoarable systems in seven European countries. In: doi
  11. (2010). Implementation and calibration of the parameter-sparse Yield-SAFE model to predict production and land equivalent ratio in mixed tree and crop systems under two contrasting production situations doi
  12. (2007). Koeffeman de Nooy A and van den Briel JP doi
  13. (2004). Low external input technologies for livelihood improvement in subsistence agriculture. doi
  14. (2008). Modelling software for spreadsheets, developed by Decisioneering ®, Denver,
  15. (2005). ModelMakerᆴ 4.0. Modelling software developed by ModelKinetix™, a trade name for FamilyGenetixᄅ managed by A.P.
  16. (1995). Perspectives de diversification des exploitation agricoles de la région Midi-Pyrénées par l‟agroforesterie. Rapport de fin d‟études commandité par le Conseil Régional Midi-Pyrénées.
  17. (2004). Poplar (Populus spp) growth and crop yields in a silvoarable experiment at three lowland sites in England. doi
  18. (1993). Poplar agroforestry: a re-evaluation of its economic potential on arable land in the United Kingdom. Forest Ecology and doi
  19. (1991). Price-size curves for broadleaves. Occasional Paper Forestry Commission.
  20. (2005). Risk Analysis Software and Solutions.
  21. (2005). SAFE (Silvoarable Agroforestry for Europe) Synthesis Report. doi
  22. (1999). Social and economic challenges in the development of complex farming systems.
  23. (2005). Systems Thinking Software™ doi
  24. (1997). Temperate agroforestry: the European way. In:
  25. (1999). The financial costs of farm woodland establishment at four sites in Bedfordshire,
  26. (1999). WaNuLCAS 1.0. A model of water, nutrient and light capture in agroforestry systems. doi
  27. (2000). WaNuLCAS 2.0. Background on a model of water, nutrient and light capture in agroforestry systems. doi
  28. (2003). Welcome to the world of WaNuLCAS. A model of water nutrient and light capture in Agroforestry Systems. doi
  29. (2007). Yield-SAFE: a parameter-sparse process-based dynamic model for predicting resource capture, growth and production in agroforestry systems. doi

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