The Role of Ecosystem-level Models in the Design of Agroforestry Systems for Future Environmental Conditions and Social Needs

  • J. P. Kimmins
  • C. Welham
  • F. Cao
  • P. Wangpakapattanawong
  • L. Christanty
Part of the Advances in Agroforestry book series (ADAG, volume 4)

Forestry is the art (skill), practice, science, and business of managing forest ecosystems to sustain an ecologically possible and socially desirable balance of forest resources and other ecosystem services and values. Agroforestry could be defined similarly, but in reference to agro-ecosystems and tree-crop-animal resources. When practiced by indigenous cultures, agroforestry has been based on their experience-based wisdom about what works and what does not (Hsiung 1996). However, if a different set of agroforestry values (e.g. a new crop or tree species) and/or a new agroforestry system for which there is little or no experience are to be sustained, this experience-based approach must be supplemented with an understanding of the ecological processes that underlie both the traditional systems and the new set of values. Because social unrest, wars, diseases, natural disasters, and the continuing urbanization of the world's population result in the loss of traditional rural knowledge, the design of future agroforestry systems will have to be based as much or more on an understanding of the processes responsible for production and sustainability of multiple values and environmental services as it has on traditions and experience in the past. When properly implemented, the approach of experience + process-level understanding can capture the benefits of traditional systems but also have the flexibility to respond to the changing needs and desires of individuals and societies, and to changing social and environmental conditions.


Agroforestry System Traditional Knowledge Decision Support Tool Agroforestry Practice Swidden Agriculture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Assmann E. 1970. The Principles of Forest Yield Study. (Translated by S. H. Gardiner). Pergamon Press, New York.Google Scholar
  2. Brady M.A. 1997. Organic matter dynamics of coastal peat deposits in Sumatra, Indonesia. PhD thesis. University of British Columbia, Vancouver, BC, 258 pp.Google Scholar
  3. Brosius P.J. 1990. After Duwagan:deforestation, succession and adaptation in Upland Luzon, Philippines. Center for South and Southeast Asia Studies, University of Michigan, Ann Arbor, 188 pp.Google Scholar
  4. Cao F.L. 2000. Ginkgo Culture and Utilization. China Forestry Publishing House, Beijing, 216 pp.Google Scholar
  5. Cao F.L. 2003. Chinese Ginkgo. Jiangsu Science and Technology Publishing House, Nanjing, 460 pp.Google Scholar
  6. Cao F.L. 2004. Ecological basis for ginkgo agroforestry systems. PhD thesis. University of British Columbia, Vancouver, BC.Google Scholar
  7. Christanty L. 1989. Analysis of the sustainability and management of the talun-kebun system of West Java, Indonesia. PhD thesis. University of British Columbia, Vancouver, BC, 276 pp.Google Scholar
  8. Christanty L., Kimmins J.P. and Mailly D. 1997. Without bamboo, the land dies. A conceptual model of the role of bamboo in an Indonesian agroforestry system. For. Ecol. Mange. 91:83–91.CrossRefGoogle Scholar
  9. Christanty L., Mailly D.L., and Kimmins J.P. 1996. Without bamboo, the land dies. Biomass, litterfall, and soil organic matter dynamics of a Javanese bamboo talun-kebun system. For. Ecol. Manage. 87:75–88.Google Scholar
  10. FAO. 2005. Forests and Floods. Drowning in fiction or thriving on facts. RAP Publication 2005/03. Forest Perspectives 2. FAO, CIFOR (
  11. Godfrey K. 1983. Compartmental models and their applications. Academic Press, New York.Google Scholar
  12. Houghton J.T., Jenkins G.J. and Ephraums J.J. (eds). 1990. Climate Change. The IPCC Scientific Assessment. WMO-UNEP. Cambridge University Press, Cambridge.Google Scholar
  13. Hsiung W. 1996. Ecosystem enginbeering and modern agroforestry. pp 1–11, In: Wenyue Hsiung and Chandler P.F. Agroforestry, Research and Practice. China Forestry Publishing House, Beijing.Google Scholar
  14. ICRAF 2001. Agroforestry Models. International Centre for Agroforestry Research, Naiobi, Kenya.Google Scholar
  15. Kimmins J.P. 1988. Community organization: methods of study and prediction of the productivity and yield of forest ecosystems. Can. J. Bot. 66:2654–2672.CrossRefGoogle Scholar
  16. Kimmins J.P. 1993. Identifying key processes affecting long-term site productivity. pp. 119–150. In: W.J. Dyck et al. (eds). Impacts of Harvesting on Long Term Site Productivity. Chapman & Hall, London.Google Scholar
  17. Kimmins J.P., Mailly D. and Seely B. 1999. Modelling forest ecosystem net primary production: the hybrid simulation approach used in FORECAST. Eco. Model 122:195–224.CrossRefGoogle Scholar
  18. Kimmins J.P., Welham C., Seely B., Meitner M., Rempel R. and Sullivan T. 2005. Science in forestry: why does it sometimes disappoint or even fail us. The Forestry Chronicle 81:723–734.Google Scholar
  19. Korzukhin M.D., Ter-Mikaelian M.T., and Wagner R.G. 1996. Process vs. empirical models: Which approach for ecosystem management? Can. J. For. Res. 26:879–887.CrossRefGoogle Scholar
  20. Mailly D., Christanty L. and Kimmins J.P., 1997. Without bamboo, the land dies. Nutrient cycling and biogeochemistry of a Javanese bamboo talun-kebun system. For. Ecol. Manage. 92:155–173.CrossRefGoogle Scholar
  21. Popper K.R. (1965) Conjectures and refutations: the growth of scientific knowledge. Harper Torchbooks, New York.Google Scholar
  22. Price N.W. 1989. The tropical mixed garden in Costa Rica: a potential focus for agroforestry research? PhD thesis. University of British Columbia, Vancouver, BC, 403 pp.Google Scholar
  23. Seely B., (Hamish) Kimmins J.P., Welham C. and Scoullar K.A. 1999. Defining stand-level sustainability, exploring stand-level stewardship. J. Forestry 97:4–10.Google Scholar
  24. Seely B., Nelson J., Wells R., Peter B., Meitner M., Anderson A., Harshaw H., Sheppard S., Bunnell F., Kimmins H., and Harrison D. 2004. The application of a hierarchical, decision-support system to evaluate multi-objective forest management strategies: a case study in northeastern British Columbia, Canada. For. Ecol. Manage. 199:283–305.Google Scholar
  25. Toffler A. 1971. Future Shock. Bantam Books, Toronto, 561 pp.Google Scholar
  26. Wangpakapattanawong P. 2001. Ecological studies of reduced forest-fallow shifting cultivation of Karen people in Mae Chaem Watershed, Northern Thailand, and implications for sustainability. PhD thesis. University of British Columbia, Vancouver, BC, 234 pp.Google Scholar

Copyright information

© Springer Science + Business Media B.V 2008

Authors and Affiliations

  • J. P. Kimmins
  • C. Welham
  • F. Cao
    • 1
  • P. Wangpakapattanawong
    • 2
  • L. Christanty
    • 3
  1. 1.Nanjing Forestry UniversityNanjingChina
  2. 2.Department of BiologyChang Mai UniversityChang MaiThailand
  3. 3.AMSAT Ltd.JakartaIndonesia

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