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Adapting sweet cherry orchards to extreme weather events – Decision Analysis in support of farmers' investments in Central Chile

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  • Rojas, Gonzalo
  • Fernandez, Eduardo
  • Whitney, Cory
  • Luedeling, Eike
  • Cuneo, Italo F.

Abstract

Available options for mitigating the impacts of extreme weather events on temperate fruit trees involve a number of risks and uncertainties, leaving growers hesitant about the benefits of implementing new technologies to protect their orchards. We used Decision Analysis approaches, which account for these risks and uncertainties, to assess investment decisions in sweet cherry production systems in central Chile. We evaluated the adoption of polyethylene covers for orchards in northern- and southern-central Chile. Gathering expert and key stakeholder knowledge, we identified relevant variables for the adoption decision and developed a causal impact pathway model. We parameterized this model by collecting estimates from experts in the form of probability distributions. We implemented the model as a Monte Carlo simulation and projected probability distributions for the Net Present Value and the annual cash flow. Results highlight that farmers in southern-central Chile could expect major benefits from covering their orchards, with a 90% confidence interval for the Net Present Value from −33,605 USD to 595,447 USD. In northern-central areas, implementing covers did not significantly improve the Net Present Value (90% confidence interval from −149,597 USD to 433,361 USD). Across zones, our model results were sensitive to market price, crop yield, and fruit quality problems (i.e. low firmness). Cover effectiveness against rain events was relevant only in the southern-central zone, whereas effectiveness against frost events was relevant in both sites. Expected Value of Perfect Information calculations revealed that additional information on yield and market price could substantially help to make a confident decision. Our simulations suggest that orchard protection in southern-central Chile may be necessary for secure and profitable cherry production in the future. In this case study, we demonstrated the applicability of Decision Analysis to support farmers in identifying appropriate and effective strategies in time to overcome future challenges resulting from climate change.

Suggested Citation

  • Rojas, Gonzalo & Fernandez, Eduardo & Whitney, Cory & Luedeling, Eike & Cuneo, Italo F., 2021. "Adapting sweet cherry orchards to extreme weather events – Decision Analysis in support of farmers' investments in Central Chile," Agricultural Systems, Elsevier, vol. 187(C).
    • Handle: RePEc:eee:agisys:v:187:y:2021:i:c:s0308521x20308921
    DOI: 10.1016/j.agsy.2020.103031
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    References listed on IDEAS

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    1. Keith Shepherd & Douglas Hubbard & Norman Fenton & Karl Claxton & Eike Luedeling & Jan de Leeuw, 2015. "Policy: Development goals should enable decision-making," Nature, Nature, vol. 523(7559), pages 152-154, July.
    2. Trienekens, Jacques H., 2011. "Agricultural Value Chains in Developing Countries A Framework for Analysis," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 14(2), pages 1-32, May.
    3. Fitsum Hagos & Gayathri Jayasinghe & Seleshi Bekele Awulachew & Mekonnen Loulseged & Aster Denekew Yilma, 2012. "Agricultural water management and poverty in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 43, pages 99-111, November.
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    1. Viviana Tudela & Pablo Sarricolea & Roberto Serrano-Notivoli & Oliver Meseguer-Ruiz, 2023. "A pilot study for climate risk assessment in agriculture: a climate-based index for cherry trees," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 115(1), pages 163-185, January.

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