Evidence map›Paper›PMID 33854166›Full record

ArticleScientific reports2021

Climate change and specialty coffee potential in Ethiopia.

Abel Chemura, Bester Tawona Mudereri, Amsalu Woldie Yalew, Christoph Gornott

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
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  4. Genetic basis of phenotypic diversity inFrontiers in genetics · 2025
    Article
  5. Article
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  7. Article
  8. Restoring Ampicillin Sensitivity in Multidrug-ResistantJournal of microbiology and biotechnology · 2023
    Article
  9. Article
  10. Genomic Evaluation ofPlants (Basel, Switzerland) · 2023
    Article
  11. Article
  12. Review
  13. Ecology, evolution, and conservation of Ethiopia's biodiversity.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Review
  15. Article
  16. 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

4 authors.

Abel ChemuraPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany. chemura@pik-potsdam.de.
Bester Tawona MudereriDepartment of Animal and Wildlife Science, Midlands State University, Gweru, Zimbabwe.
Amsalu Woldie YalewPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.
Christoph GornottPotsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current climate change impact studies on coffee have not considered impact on coffee typicities that depend on local microclimatic, topographic and soil characteristics. Thus, this study aims to provide a quantitative risk assessment of the impact of climate change on suitability of five premium specialty coffees in Ethiopia. We implement an ensemble model of three machine learning algorithms to predict current and future (2030s, 2050s, 2070s, and 2090s) suitability for each specialty coffee under four Shared Socio-economic Pathways (SSPs). Results show that the importance of variables determining coffee suitability in the combined model is different from those for specialty coffees despite the climatic factors remaining more important in determining suitability than topographic and soil variables. Our model predicts that 27% of the country is generally suitable for coffee, and of this area, only up to 30% is suitable for specialty coffees. The impact modelling showed that the combined model projects a net gain in coffee production suitability under climate change in general but losses in five out of the six modelled specialty coffee growing areas. We conclude that depending on drivers of suitability and projected impacts, climate change will significantly affect the Ethiopian speciality coffee sector and area-specific adaptation measures are required to build resilience.

Identifiers

PMID33854166
PMCPMC8046822

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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.