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Equity in forecasting climate: Can science save the world's poor?

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  • Maria Carmen Lemos
  • Lisa Dilling

Abstract

For the past ten years, the role of seasonal climate forecasting (SCF) in decreasing the vulnerability of poor populations in many countries to climate variability and change has been discussed in the scholarly literature and policy circles. This paper reviews the literature on climate forecasting information and explores three main equity implications of SCF use. First, while investment in SCF as a decision-support tool has been justified in social terms, many examples of application show that the most vulnerable are unable to benefit from SCF information and may be harmed by it. Second, the usability of SCF as a decision-making tool has been constrained by accessibility and communication issues. Third, there may be opportunity costs in the sense that focus on SCF displaces political, human and financial capital from other more effective alternatives for decreasing the vulnerability to disaster among the poor. This review argues that, without attention to specific mechanisms to counter pre-existing inequities, the distribution and use of SCF is not likely to ameliorate the conditions of those most in need. Copyright , Beech Tree Publishing.

Suggested Citation

  • Maria Carmen Lemos & Lisa Dilling, 2007. "Equity in forecasting climate: Can science save the world's poor?," Science and Public Policy, Oxford University Press, vol. 34(2), pages 109-116, March.
  • Handle: RePEc:oup:scippl:v:34:y:2007:i:2:p:109-116
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    File URL: http://hdl.handle.net/10.3152/030234207X190964
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    Cited by:

    1. Eric Nost, 2019. "Climate services for whom? The political economics of contextualizing climate data in Louisiana’s coastal Master Plan," Climatic Change, Springer, vol. 157(1), pages 27-42, November.
    2. Chris Knudson & Zack Guido, 2019. "The missing middle of climate services: layering multiway, two-way, and one-way modes of communicating seasonal climate forecasts," Climatic Change, Springer, vol. 157(1), pages 171-187, November.
    3. Renzo Taddei, 2011. "Watered-down democratization: modernization versus social participation in water management in Northeast Brazil," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 28(1), pages 109-121, February.
    4. Parry, Luke & Radel, Claudia & Adamo, Susana B. & Clark, Nigel & Counterman, Miriam & Flores-Yeffal, Nadia & Pons, Diego & Romero-Lankao, Paty & Vargo, Jason, 2019. "The (in)visible health risks of climate change," Social Science & Medicine, Elsevier, vol. 241(C).
    5. Sophie Haines, 2019. "Managing expectations: articulating expertise in climate services for agriculture in Belize," Climatic Change, Springer, vol. 157(1), pages 43-59, November.
    6. Carla Roncoli & Benjamin Orlove & Merit Kabugo & Milton Waiswa, 2011. "Cultural styles of participation in farmers’ discussions of seasonal climate forecasts in Uganda," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 28(1), pages 123-138, February.
    7. Hansen, James W. & Mishra, Ashok & Rao, K.P.C. & Indeje, Matayo & Ngugi, Robinson Kinuthia, 2009. "Potential value of GCM-based seasonal rainfall forecasts for maize management in semi-arid Kenya," Agricultural Systems, Elsevier, vol. 101(1-2), pages 80-90, June.

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