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Incorporating systems dynamics and spatial heterogeneity in integrated assessment of agricultural production systems

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  • ANTLE, JOHN M.
  • STOORVOGEL, JETSE J.

Abstract

Agricultural systems are complex and dynamic, being made up of inter-acting bio-physical and human sub-systems. Moreover, agricultural systems are re-markably diverse, both within geographic regions and across regions. Accordingly, this paper focuses on dynamics and heterogeneity in coupled, multi-disciplinary simulation models of agricultural systems. We begin with a discussion of the principal features of agricultural production systems. We then present an example of a ‘loosely coupled’ model, the type of model most researchers have used to represent agricultural systems. We discuss the loosely coupled model's features and limitations, and show how it can be modified to incorporate feedbacks among sub-models. Finally, we use a case study of a hillside production system in Ecuador to illustrate the importance of model coupling, dynamics and heterogeneity in the analysis of production systems. This example shows that feedbacks and threshold effects are most important at sites most vulnerable to tillage erosion.

Suggested Citation

  • Antle, John M. & Stoorvogel, Jetse J., 2006. "Incorporating systems dynamics and spatial heterogeneity in integrated assessment of agricultural production systems," Environment and Development Economics, Cambridge University Press, vol. 11(1), pages 39-58, February.
  • Handle: RePEc:cup:endeec:v:11:y:2006:i:01:p:39-58_00
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    Cited by:

    1. Mkondiwa, Maxwell Gibson, 2015. "Whither Broad or Spatially Specific Fertilizer Recommendations?," Master's Theses and Plan B Papers 237344, University of Minnesota, Department of Applied Economics.
    2. Gopalakrishnan, Sathya & Liu, Hongxing, 2018. "Land-lake Dynamics: Are there Welfare Gains from Targeted Policies in a Heterogeneous Landscape," 2018 Annual Meeting, August 5-7, Washington, D.C. 274310, Agricultural and Applied Economics Association.
    3. Blazy, Jean-Marc & Carpentier, Alain & Thomas, Alban, 2011. "The willingness to adopt agro-ecological innovations: Application of choice modelling to Caribbean banana planters," Ecological Economics, Elsevier, vol. 72(C), pages 140-150.
    4. John M. Antle & Claudio O. Stöckle, 2017. "Climate Impacts on Agriculture: Insights from Agronomic-Economic Analysis," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(2), pages 299-318.
    5. Blazy, Jean-Marc & Ozier-Lafontaine, Harry & Doré, Thierry & Thomas, Alban & Wery, Jacques, 2009. "A methodological framework that accounts for farm diversity in the prototyping of crop management systems. Application to banana-based systems in Guadeloupe," Agricultural Systems, Elsevier, vol. 101(1-2), pages 30-41, June.
    6. Meylan, Louise & Merot, Anne & Gary, Christian & Rapidel, Bruno, 2013. "Combining a typology and a conceptual model of cropping system to explore the diversity of relationships between ecosystem services: The case of erosion control in coffee-based agroforestry systems in," Agricultural Systems, Elsevier, vol. 118(C), pages 52-64.
    7. Guillaume Lestrelin & Olga Vigiak & Aurélie Pelletreau & Bounmy Keohavong & Christian Valentin, 2012. "Challenging established narratives on soil erosion and shifting cultivation in Laos," Natural Resources Forum, Blackwell Publishing, vol. 36(2), pages 63-75, May.

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