Proceedings of the National Academy of Sciences· 2026Q1
Rainfall extremes drive cocoa yield losses across the tropics
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- Q1SCImago
- 2026year
Short summary
Excess wet-season rainfall and dry-season drought together explain 68% of interannual cocoa yield variability in Ghana, with similar negative responses to heavy rainfall observed in Ecuador and Indonesia.
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Key points
- Heavy rainfall, not temperature, is the dominant climatic constraint on cocoa yields.
- Excess wet-season rainfall and dry-season drought explain 68% of interannual yield variability in Ghana.
- Negative responses to heavy rainfall are consistent across Ghana, Ecuador, and Indonesia.
- Findings suggest a common mechanism linked to precipitation-related damage and disease.
AI-generated from the title and abstract; the full text is not read.
Abstract
There is a growing need for human-centered weather and climate forecasts that provide actionable information to farmers and other stakeholders. Cocoa, which sustains the livelihoods of nearly six million smallholder farmers, illustrates this need: Recent production shortfalls have threatened incomes, yet their underlying causes remain unclear, with explanations invoking both climatic and nonclimatic factors. Here we show that heavy rainfall, rather than temperature or mean water availability, is the dominant climatic constraint on cocoa yields across major producing regions. Using newly available district-level production records from Ghana combined with daily rainfall and temperature data, we find that excess wet-season rainfall and dry-season drought together explain 68% of interannual yield variability. National yield data from Ecuador and Indonesia also give a consistent negative response to heavy rainfall, indicating a common mechanism across the tropics, likely linked to damage and disease risks associated with intense precipitation during key phenological stages. Because rainfall extremes covary with El Niño and other sea surface temperature patterns, and there is a robust physical expectation of increases in rainfall extremes with warming, these results provide a physical basis for risk forecasts. By shifting attention from average climate conditions to extreme precipitation, we highlight an underappreciated constraint on a perennial tropical crop and identify opportunities for adaptation and forecast-informed decision-making.
The authors' abstract, as published at the source. Proceedings of the National Academy of Sciences, 2026 · DOI ↗
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HorticultureAgricultural and Biological Sciences