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Using seasonal forecasts to support farmer adaptation to climate risks

FAO Agricultural Development Economics Policy Brief 14












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    Working paper
    Smallholder adaptive responses to seasonal weather forecasts
    A case study of the 2015/16 El Niño Southern Oscillation in Zambia
    2019
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    Does receiving information on potential adverse weather conditions induce adaptive responses by smallholders? Do market institutions ease constraints to adaptation of these practices? This report examines these questions using a unique panel dataset of Zambian smallholder households collected before and after 2015/16 El Niño Southern Oscillation event. The analysis finds that farmers receiving drought-related seasonal forecasts are more likely to integrate drought tolerant crops into their cropping systems and to acquire improved maize seed varieties. These farmers, on average, are found to apply double the quantity of improved maize seeds than farmers residing in the same zones but not receiving weather information. Larger and more competitive private output markets function as enablers of smallholder adaptive responses to seasonal forecast information, as farmers with improved market access are more likely to shift toward drought resilient technologies than farmers with low output market access. Three policy recommendations emerge from the findings. First, while seasonal forecast information can induce adaptive responses by farmers, there is the need of improving access to this information, particularly for households in remote areas or limited asset ownership. Second, targeting voucher-based farmer input support programs based on seasonal forecast information can enable the crowding in of private investments in these regions and increase the adaptive responses of farmers, particularly resource constrained farmers. Finally, this analysis suggests that policies that incentivize private investment in agricultural markets should be considered within the broader framework of smallholder climate adaptation and resilience in Zambia. This includes strategies to improve agricultural trade predictability
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    Other document
    An Introduction to the Art of Agrometereological Crop Yield Forecasting Using Multiple Regression
    Crop Yeald Forecasting and Agrometeorology Sub-Project UTF/BGD/029, ASIRP/DAE
    2001
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    It is suggested that the approach used by FAO and a number of developing countries for crop forecasting at the national level strikes a good compromise between input requirements and ease of validation. The article thus describes the FAO crop modelling and forecasting philosophy.
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    Policy brief
    Food aid supports climate adaptive investments by farmers in sub-Saharan Africa
    FAO Agricultural Development Economics Policy Brief 27
    2020
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    This brief explores the evidence on the relationships between food aid transfers and investments in climate adaptive agriculture using data from Ethiopia, Malawi and United Republic of Tanzania. Four climate adaptive agricultural investments are considered, namely: adoption of cereal-legume intercropping, use of organic fertilizers such as manure and compost, construction of soil and water conservation structures in fields, and investments in livestock diversification. These practices differ in their levels of capital and labour intensity,and their appropriateness for farmers will vary depending on the context farmers operate in.

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