Evidence map›Paper›PMID 41989605›Full record

ArticleInternational journal of biometeorology2026

Acknowledging a Global South phenological science: the use of phenological and meteorological indicators in indigenous knowledge systems in Rural South Africa.

Sinoxolo Magaya, Jennifer M Fitchett

Abstract read
In one paragraph

Article in International journal of biometeorology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Sinoxolo MagayaSchool of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South Africa.
Jennifer M FitchettSchool of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg, South Africa. Jennifer.Fitchett@wits.ac.za.ORCID http://orcid.org/0000-0002-0854-1720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of published phenological research relies on what is perceived to be scientifically robust sources of data – ground-based observations, webcams and remote sensing. This has resulted in a body pf phenological literature which remains skewed to the Global North. In much of the Global South, phenological events have been a key component of inter-generational Indigenous Knowledge Systems surrounding the daily and seasonal weather forecasting for small-scale agriculture. Under climate change, this critical awareness of the natural environment and the use of phenology to mark seasonal change can lead to a more rapid adaptation to changes missed by meteorological forecasting in the short term, while local extirpation of key indicator species limits long-term efficacy. This study explores these issues in the context of two small indigenous rural communities in South Africa who are heavily reliant on rainfed subsistence agriculture. Across both communities, observations of phenological events, weather and astronomical conditions are used by farmers to inform the timing of sowing, harvesting, and the selection of crops. However, the disappearance of key indicator species is threatening this approach, with the community raising concerns about the anthropogenic influence. These results demonstrate the critical value of indigenous knowledge as part of the phenological discourse, particularly in the face of global change.

Indexed as

AgricultureClimate ChangeCrops, AgriculturalHumansRural PopulationSeasonsSouth AfricaWeatherClimateIndigenous knowledge systemsPhenologySouth AfricaSubsistence agriculture

Identifiers

PMID41989605
PMCPMC13086714

What OpenQuestion holds

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LicenceCC BY
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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.