Evidence map›Paper›PMID 40182533›Full record

ArticleJamba (Potchefstroom, South Africa)2025

Analysing seasonal rainfall trends in the Cuvelai-Etosha Basin 1968-2018.

Buhlebenkosi F Mpofu, Nnenesi Kgabi, Stuart Piketh

Abstract read
In one paragraph

Article in Jamba (Potchefstroom, South Africa), 2025. 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. 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.

Buhlebenkosi F MpofuUnit of Environmental Sciences and Management, Faculty of Natural and Agricultural Science, North West University, Potchefstroom, South Africa.ORCID 0000-0002-6906-506X
Nnenesi KgabiUnit of Environmental Sciences and Management, Faculty of Natural and Agricultural Science, North West University, Potchefstroom, South Africa.ORCID https://orcid.org/0000-0001-9488-9661
Stuart PikethUnit of Environmental Sciences and Management, Faculty of Natural and Agricultural Science, North West University, Potchefstroom, South Africa.ORCID https://orcid.org/0000-0002-2804-879X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research used descriptive statistics to analyse rainfall trends in the Cuvelai- Etosha Basin (Namibia) over a 50-year historical period (1968 to 2018). The results revealed that rainfall fell over a period of 6 months between the months of November and April. Rainfall amounts were also observed to be higher in the first 3 months of each year, and annual levels ranged between 200 mm and 700 mm. The trend revealed that rainfall levels between 1977 and 1992 were consistently below the calculated average of 410 mm, and the rainfall amounts, and rain season were observed to have significantly shortened between the years 2009 and 2018. The rainfall trend observed over the 50-year period did not provide a definitive indication of whether the pattern followed a specific trajectory. The trend line's position was below the average line for many seasons, and it indicated that many of the seasons experienced rainfall levels below the annual average; however, an increase was observed from the years 2008 -2012 and the year 2018 wherein the rainfall received was above average and fell intensely over a brief period and these are the years where flooding was reported. Contribution: An epileptic pattern was observed that could not be used to definitively define a trend but was useful to highlight that there was an occurrence of episodes of heavy rainfall being experienced in the months of January through March and any resilience efforts need to be prioritised during this time.

Indexed as

climate changefloodsrainfallresilienceseasonstrendswater

Identifiers

PMID40182533
PMCPMC11967046

What OpenQuestion holds

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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.