Evidence map›Paper›PMID 41503395›Full record

ArticleEcology and evolution2026

An Analysis of Vegetation and Microbiome Recovery in Abandoned Agricultural Fields.

Heike Oosthuysen, Kayleigh Coetzer, M Thabang Madisha, Willem G Coetzer

Abstract read
In one paragraph

Article in Ecology and evolution, 2026. 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

4 authors.

Heike OosthuysenDepartment of Genetics University of the Free State Bloemfontein Free State South Africa.
Kayleigh CoetzerLeliekloof Farm Cradock Eastern Cape South Africa.
M Thabang MadishaDepartment of Genetics University of the Free State Bloemfontein Free State South Africa.
Willem G CoetzerDepartment of Zoology and Entomology University of Fort Hare Eastern Cape South Africa.ORCID https://orcid.org/0000-0003-2189-5539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biodiversity is a key indicator of an ecosystem's resilience to disturbances, but farming practices like monocultures can be disruptive. Assessing the biodiversity levels in abandoned fields can help to reveal recovery patterns and inform strategies to conserve biodiversity in agricultural landscapes. The main aim of this study was to assess the pace of natural recovery for a chronosequence of formerly planted fields in a grassland habitat in the Eastern Cape, South Africa. The plant communities were evaluated using species counts, while the bacterial communities were assessed through high-throughput sequencing (HTS) of the 16S rRNA gene. The alpha diversity indices indicated that the diversity levels within the old fields have started to resemble natural conditions for both the plant and microbial communities. Furthermore, the NMDS analyses identified clear variations in bacterial and plant community compositions among differently aged successional groups and the natural habitats. This study provides evidence that biodiversity levels within crop fields can recover from agricultural disturbances. However, considering the significant changes in climate and rainfall patterns in the study area, it remains unclear whether the community structures of the crop fields will reach native conditions in the coming decades, if at all.

Indexed as

16S rRNAbacterial communitybiodiversityhigh‐throughput sequencingplant communityrestorationsoil health

Identifiers

PMID41503395
PMCPMC12771683

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.