IDEAS home Printed from https://ideas.repec.org/a/bla/agecon/v37y2007i2-3p189-200.html
   My bibliography  Save this article

Rainfall or price variability: what determines rangeland management decisions? A simulation‐optimization approach to South African savannas

Author

Listed:
  • Jan Börner
  • Steven I. Higgins
  • Jochen Kantelhardt
  • Simon Scheiter

Abstract

Savannas cover the greater part of Africa and Australia and almost half of South America and contribute to the livelihoods of more than 350 million people. With the intensification of land use during the second half of the 20th century, savannas have become increasingly degraded through bush encroachment as a consequence of increased grazing pressure. Research on rangeland dynamics, however, provides contradicting answers with regard to the causes and possible remedies of bush encroachment. In this article we present results from an application of a simulation‐optimization model to the case of extensive rangeland management in South Africa. Our model differs from previous approaches in that it explicitly accounts for the influence of stochastic prices and rainfall on economically optimal management decisions. By showing the implications of neglecting price variation and stochasticity in rangeland models we provide new insights with regard to the determinants of bush encroachment and rangeland managers' economic return. We demonstrate that, in the case of South Africa, optimal rangeland management is likely to lead to bush encroachment that eventually makes livestock holding unprofitable. Yet, we identify the costs of fire management to be a limiting factor for managers to counteract bush encroachment and explore the impact of policy measures to reduce fire control costs on the ecological and economic sustainability of livestock holding.

Suggested Citation

  • Jan Börner & Steven I. Higgins & Jochen Kantelhardt & Simon Scheiter, 2007. "Rainfall or price variability: what determines rangeland management decisions? A simulation‐optimization approach to South African savannas," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2‐3), pages 189-200, September.
  • Handle: RePEc:bla:agecon:v:37:y:2007:i:2-3:p:189-200
    DOI: 10.1111/j.1574-0862.2007.00265.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1574-0862.2007.00265.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1574-0862.2007.00265.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Higgins, Steven I. & Kantelhardt, Jochen & Scheiter, Simon & Boerner, Jan, 2007. "Sustainable management of extensively managed savanna rangelands," Ecological Economics, Elsevier, vol. 62(1), pages 102-114, April.
    2. Janssen, Marco A. & Anderies, John M. & Walker, Brian H., 2004. "Robust strategies for managing rangelands with multiple stable attractors," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 140-162, January.
    3. Richard B. Standiford & Richard E. Howitt, 1992. "Solving Empirical Bioeconomic Models: A Rangeland Management Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 421-433.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mullen, Katharine M. & Ardia, David & Gil, David L. & Windover, Donald & Cline, James, 2011. "DEoptim: An R Package for Global Optimization by Differential Evolution," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i06).
    2. Börner, Jan & Higgins, Steven Ian & Scheiter, Simon & Kantelhardt, Jochen, 2009. "Approximating optimal numerical solutions to bio-economic systems: How useful is simulation-optimization?," 2009 Conference, August 16-22, 2009, Beijing, China 51407, International Association of Agricultural Economists.
    3. Börner, Jan & Higgins, Steven I. & Scheiter, Simon & Kantelhardt, Jochen, 2013. "Approximating Optimal Numerical Solutions to Bio-economic Systems: How Useful is Simulation-optimization?," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(3), pages 1-20, August.
    4. repec:jss:jstsof:40:i06 is not listed on IDEAS
    5. Bobojonov, Ihtiyor & Aw-Hassan, Aden, 2014. "Impacts of climate change on farm income security in Central Asia: An integrated modeling approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 188, pages 245-255.
    6. Ardia, David & Boudt, Kris & Carl, Peter & Mullen, Katharine M. & Peterson, Brian, 2010. "Differential Evolution (DEoptim) for Non-Convex Portfolio Optimization," MPRA Paper 22135, University Library of Munich, Germany.
    7. Scheiter, Simon & Schulte, Judith & Pfeiffer, Mirjam & Martens, Carola & Erasmus, Barend F.N. & Twine, Wayne C., 2019. "How Does Climate Change Influence the Economic Value of Ecosystem Services in Savanna Rangelands?," Ecological Economics, Elsevier, vol. 157(C), pages 342-356.
    8. Scheiter, Simon & Savadogo, Patrice, 2016. "Ecosystem management can mitigate vegetation shifts induced by climate change in West Africa," Ecological Modelling, Elsevier, vol. 332(C), pages 19-27.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Börner, Jan & Higgins, Steven I. & Scheiter, Simon & Kantelhardt, Jochen, 2013. "Approximating Optimal Numerical Solutions to Bio-economic Systems: How Useful is Simulation-optimization?," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(3), pages 1-20, August.
    2. Börner, Jan & Higgins, Steven Ian & Scheiter, Simon & Kantelhardt, Jochen, 2009. "Approximating optimal numerical solutions to bio-economic systems: How useful is simulation-optimization?," 2009 Conference, August 16-22, 2009, Beijing, China 51407, International Association of Agricultural Economists.
    3. Domptail, Stéphanie & Nuppenau, Ernst-August, 2010. "The role of uncertainty and expectations in modeling (range)land use strategies: An application of dynamic optimization modeling with recursion," Ecological Economics, Elsevier, vol. 69(12), pages 2475-2485, October.
    4. Jakoby, Oliver & Grimm, Volker & Frank, Karin, 2014. "Pattern-oriented parameterization of general models for ecological application: Towards realistic evaluations of management approaches," Ecological Modelling, Elsevier, vol. 275(C), pages 78-88.
    5. Zhao, Zishun & Wahl, Thomas I. & Marsh, Thomas L., 2006. "Invasive Species Management: Foot-and-Mouth Disease in the U.S. Beef Industry," Agricultural and Resource Economics Review, Cambridge University Press, vol. 35(1), pages 98-115, April.
    6. Eppink, Florian V. & van den Bergh, Jeroen C.J.M., 2007. "Ecological theories and indicators in economic models of biodiversity loss and conservation: A critical review," Ecological Economics, Elsevier, vol. 61(2-3), pages 284-293, March.
    7. Baumgärtner, Stefan & Quaas, Martin F., 2009. "Ecological-economic viability as a criterion of strong sustainability under uncertainty," Ecological Economics, Elsevier, vol. 68(7), pages 2008-2020, May.
    8. Flichman, Guillermo & Jacquet, Florence, 2003. "Le couplage des modèles agronomiques et économiques : intérêt pour l'analyse des politiques," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 67.
    9. Baerenklau, Kenneth A. & Nergis, Nermin & Schwabe, Kurt A., 2007. "Effects of Nutrient Restrictions on Confined Animal Facilities: Insights from a Structural Model," 2007 Annual Meeting, July 29-August 1, 2007, Portland, Oregon 10253, Western Agricultural Economics Association.
    10. Mullen, Katharine M. & Ardia, David & Gil, David L. & Windover, Donald & Cline, James, 2011. "DEoptim: An R Package for Global Optimization by Differential Evolution," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i06).
    11. Scheiter, Simon & Savadogo, Patrice, 2016. "Ecosystem management can mitigate vegetation shifts induced by climate change in West Africa," Ecological Modelling, Elsevier, vol. 332(C), pages 19-27.
    12. Jose L. Oviedo & Lynn Huntsinger & Pablo Campos & Alejandro Caparrós, 2011. "Assessing the income value of private amenities in California oak woodlands," Working Papers 1110, Instituto de Políticas y Bienes Públicos (IPP), CSIC.
    13. Kobayashi, Mimako & Harris, Thomas R. & Rollins, Kimberly S., 2009. "Invasive Weeds, Wildfire, and Rancher Decision Making in the Great Basin," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49365, Agricultural and Applied Economics Association.
    14. Teague, W.R. & Kreuter, U.P. & Grant, W.E. & Diaz-Solis, H. & Kothmann, M.M., 2009. "Economic implications of maintaining rangeland ecosystem health in a semi-arid savanna," Ecological Economics, Elsevier, vol. 68(5), pages 1417-1429, March.
    15. Ali Kharrazi & Brian D. Fath & Harald Katzmair, 2016. "Advancing Empirical Approaches to the Concept of Resilience: A Critical Examination of Panarchy, Ecological Information, and Statistical Evidence," Sustainability, MDPI, vol. 8(9), pages 1-17, September.
    16. Jon M. Conrad & Daniel Rondeau, 2015. "Bioeconomics of a Marine Disease," Marine Resource Economics, University of Chicago Press, vol. 30(4), pages 393-416.
    17. Liuwen Liao & Enpu Ma & Hualou Long & Xiaojun Peng, 2022. "Land Use Transition and Its Ecosystem Resilience Response in China during 1990–2020," Land, MDPI, vol. 12(1), pages 1-19, December.
    18. B Kelsey Jack & Carolyn Kousky & Katharine R E Sims, 2007. "Lessons Relearned: Can Previous Research on Incentive-Based Mechanisms Point the Way for Payments for Ecosystem Services?," CID Working Papers 15, Center for International Development at Harvard University.
    19. Polasky, Stephen & de Zeeuw, Aart & Wagener, Florian, 2011. "Optimal management with potential regime shifts," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 229-240, September.
    20. Johannus Janmaat, 2012. "Fishing in a Shallow Lake: Exploring a Classic Fishery Model in a Habitat with Shallow Lake Dynamics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(2), pages 215-239, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:agecon:v:37:y:2007:i:2-3:p:189-200. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.