Evidence map›Paper›PMID 40367092›Full record

ArticlePloS one2025

Confronting the uncertainty: Vulnerability to climate change among smallholder farmers in the Sidaama region, Ethiopia.

Abera Argo Lankamo, Dayanandan R, Bantyergu Engida Bati, Samuel Jilo Dira

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Abera Argo LankamoCollege of Business and Economics, Hawassa University, Hawassa, Sidaama, Ethiopia.ORCID https://orcid.org/0000-0003-2470-9228
Dayanandan RCollege of Business and Economics, Hawassa University, Hawassa, Sidaama, Ethiopia.
Bantyergu Engida BatiCollege of Business and Economics, Hawassa University, Hawassa, Sidaama, Ethiopia.
Samuel Jilo DiraCollege of Social Science and Humanities, Hawassa University, Hawassa, Sidaama, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Smallholder farmers' vulnerability to climate change varies due to socio-economic and biophysical factors, requiring a context-specific assessment. This study examines livelihood vulnerability in the face of climate change in the Sidaama Region, Ethiopia. A mixed-methods approach with a descriptive and explanatory sequential design was employed. Data from 391 systematically sampled households were analyzed using the Livelihood Vulnerability Index (LVI) and the Intergovernmental Panel on Climate Change (IPCC) framework (LVI_IPCC), alongside Kruskal-Wallis and Dunn's tests. Results of LVI analysis indicate that the Lowland agroecological zone (AEZ) is the most vulnerable (0.466), followed by the Highland (0.412), while the Midland is least vulnerable (0.376). The Highland AEZ showed greater sensitivity to climate change, whereas the Lowland had the weakest adaptive capacity. The Kruskal-Wallis H test confirmed significant differences in vulnerability across AEZs (H = 49.083, p < 0.001), with Dunn's test revealing that the Lowland AEZ is significantly more vulnerable than both the Highland and Midland. LVI_IPCC results similarly ranked the Lowland as the most vulnerable (-0.0041), followed by the Midland (-0.072), with the Highland being the least vulnerable (-0.096). Boxplot analysis further confirmed that the lowland had the highest median LVI_IPCC, indicating greater livelihood vulnerability, while the Highland and Midland had lower median values. To reduce vulnerability, targeted interventions such as climate-smart agriculture, diversified income sources, improved microfinance access, and tailored climate adaptation strategies are needed. Local, regional, and national governments should prioritize disaster prevention and mitigation in the Lowland while leveraging the Midland's higher adaptability for piloting innovative adaptation strategies.

Indexed as

Climate ChangeFarmersAgricultureEthiopiaHumansSocioeconomic FactorsUncertainty

Identifiers

PMID40367092
PMCPMC12077685

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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.