Evidence map›Paper›PMID 42677750›Full record

ReviewJournal of environmental quality

Vegetated buffer strips for reducing diffused agricultural water pollution in Africa.

Ajoke Fehintola Idayat Akindele, Itxaso Ruiz

Abstract readReview
In one paragraph

Review in Journal of environmental quality. 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. Review
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.

Ajoke Fehintola Idayat AkindeleDepartment of Biosciences and Biotechnology, University of Medical Sciences, Ondo city, Nigeria.ORCID https://orcid.org/0000-0002-0559-8131
Itxaso RuizDepartment of Biosciences and Biotechnology, University of Medical Sciences, Ondo city, Nigeria.

Funding

Mujeres por Africa Foundation NIE number Z1408301Q
6 · The paper itself

Abstract

Agricultural pollution poses a significant global threat to biodiversity, water quality, and human health, with particularly acute to chronic toxic impacts on living beings in low- and middle-income countries. Vegetated buffer strips (VBSs) are recognized as a cost-effective, nature-based solution for managing agricultural pollution risks. Despite their proven efficacy, the adoption of VBSs remains very limited across African countries. This review provides comprehensive scientific literature to assess VBS effectiveness in mitigating diffuse agricultural water pollution, with a specific focus on its potential for Africa. Out of the initial pool of publications, 35 studies (23.3%) met the inclusion criteria, consistently demonstrating the statistically significant effectiveness of VBSs in reducing non-point source pollution (sediment, particulate, dissolved forms of phosphorus, pesticides, and dissolved nitrogen). Beyond direct pollution control, the review underscores the broader benefits of VBSs, including improved sediment and nutrient management during runoff events, enhanced biodiversity, and contributions to carbon sequestration. The findings highlight a critical need for tailored policy development and robust economic incentives to support VBS implementation in Africa. Successful integration of VBS can be instrumental in achieving the 2030 agenda for sustainable development, particularly in improving food security and water quality across the continent. This work advocates for localized research and collaborative efforts to unlock the full potential of VBS as a sustainable agricultural practice in diverse African contexts.

Indexed as

AgricultureConservation of Natural ResourcesNon-Point Source PollutionWater PollutionAfricaWater Quality

Identifiers

PMID42677750
PMCPMC13531403

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.