Evidence map›Paper›PMID 39910327›Full record

ArticleScientific reports2025

Trends of climate variability and its association with farmers' perceptions of climate change in Gassera district, southeastern Ethiopia.

Henok W/Yohannes Aniye, Tsegaye Bekele, Walelign Worku

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Henok W/Yohannes AniyeCollege of Forestry and Natural Resources, Hawassa University, Wondo Genet, Ethiopia. henokbelen@yahoo.com.
Tsegaye BekeleCollege of Forestry and Natural Resources, Hawassa University, Wondo Genet, Ethiopia.
Walelign WorkuHawassa University School of Plant and Horticultural Sciences, Hawassa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change and variability have threatened rain-fed subsistence agriculture by affecting the livelihoods of rural communities in Ethiopia. The Gassera district is among the high-potential crop production areas and is severely affected by recurrent drought resulting from climate change. This study examined trends in climatic variability, farmers' perceptions, and the determinants of climate change in the Gassera district, southeastern Ethiopia. A cross-sectional survey design was employed to select agroecologies and collect data from 444 farm households via multistage random sampling. Linear regression, the chi-square test, and rainfall anomalies were used for the data analysis. The results revealed significant (Ρ = 0.00) increasing trends in annual temperature, a decrease in annual rainfall of 2.92 mm/year, and severe rainfall variability for the Belg season. Most of the interviewed farmers reported increases in temperature, erratic rainfall, and drought frequency of 96.24%, 86.47%, and 89.73%, respectively. The study concludes that climate change variability is described by long-term average increases in temperature, erratic rainfall, and the occurrence of drought. This research also concluded that farmers' perceptions matched well with records of increases in temperature, erratic rainfall, and drought frequency. The results also revealed gender, education, and agroecological settings were the determinant factors related to farmers' perceptions of climate variability.

Indexed as

Climate ChangeFarmersPerceptionAdultAgricultureCross-Sectional StudiesDroughtsEthiopiaFemaleHumansMaleMiddle AgedRainRural PopulationSeasonsSurveys and QuestionnairesAgroecological zonesClimate trendsClimate variabilityFarmers’ perceptionsGassera

Identifiers

PMID39910327
PMCPMC11799139

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.