Skip to main content

Agroforestry Modeling

  • Chapter
  • First Online:
Tropical Agroforestry

Abstract

Agroforestry is a complex system that integrates biophysical, environmental, socio-economic and cultural factors. Agroforestry is also complex both functionally and economically. Therefore, sound decision-making is of high importance in agroforestry, whether it is related to species selection, components (i.e., trees and crops; trees and livestock; trees, crops and livestock) selection and integration, or maximization of benefits gained from applying agroforestry techniques. For these reasons, decision-making in agroforestry requires databases and tools for species selection, and expert systems (i.e., computer program that solves problems that normally require the abilities of human expert) to forecast different outcome scenarios. Many databases for species selection in agroforestry have been compiled and can be found on the ICRAF website. Several modeling tools exist for agroforestry research.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Bibliography

  • Dupraz C, Vincent G, Lecomte I, Bussière F, Sinoquet H (2004) Above-ground modules in Hi-SAFE; Deliverable D.4.1 (SAFE European contract QLK5-CT-2001-00560) silvoarable agroforestry for Europe (SAFE). INRA Montpellier, France

    Google Scholar 

  • Ellis EA, Bentrup G, Schoeneberger MM (2004) Computer-based tools for decision support in agroforestry: current state and future needs. Agrofor Syst 61:401–421

    Article  Google Scholar 

  • Garcia-de Ceca JL, Gebremedhin KG (1991) A decision support system for planning agroforestry systems. For Ecol Manag 45:199–206

    Article  Google Scholar 

  • Parton WJ, Anderson DW, Cole CV, Stewart JWB (1983) Simulation of soil organic matter formation and mineralization in semiarid agroecosystems. In: Lowrance RR, Todd RL, Asmussen LE, Leonard LE (eds) Nutrient cycling in agricultural ecosystems. The Univ. of Georgia, College of Agriculture Experiment Stations, Special Publ. No. 23. Athens, Georgia

    Google Scholar 

  • Patterson DW (1990) Introduction to artificial intelligence and expert systems. Prentice-Hall, Englewood Cliffs, p 448

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alain Atangana .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Atangana, A., Khasa, D., Chang, S., Degrande, A. (2014). Agroforestry Modeling. In: Tropical Agroforestry. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7723-1_21

Download citation

Publish with us

Policies and ethics