Evidence map›Paper›PMID 42735334›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Rainfall extremes drive cocoa yield losses across the tropics.

Anna Lea Albright, Rebecca Berkoh-Oforiwaa, Peter Huybers

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Rainfall extremes drive cocoa yield losses across the tropics.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anna Lea AlbrightDepartment of Earth and Planetary Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0002-0440-7524
Rebecca Berkoh-OforiwaaDepartment of Physics, University of Ghana, Legon, Accra - LG 25, Ghana.ORCID 0000-0002-9189-7719
Peter HuybersDepartment of Earth and Planetary Sciences, Harvard University, Cambridge, MA 02138.ORCID 0000-0002-3734-8145

Funding

Harvard University (Harvard) HUCE fellowship Salata Institute
6 · The paper itself

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.

Indexed as

CacaoCrops, AgriculturalRainTropical ClimateAgricultureClimate ChangeDroughtsEcuadorGhanaHumansIndonesiaSeasonsTemperatureagricultureclimatecropshuman-centered climate informationrainfall extremes

Identifiers

PMID42735334
PMCPMC13624598

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.