Evidence map›Paper›PMID 32908233›Full record

ArticleScientific reports2020

Agricultural land is the main source of stream sediments after conversion of an African montane forest.

Jaqueline Stenfert Kroese, Pedro V G Batista, Suzanne R Jacobs, Lutz Breuer, John N Quinton, Mariana C Rufino

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
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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

6 authors.

Jaqueline Stenfert KroeseLancaster Environment Centre, Lancaster University, Lancaster, England, UK. J.stenfertkroese@lancaster.ac.uk.
Pedro V G BatistaDepartment of Environmental Sciences, University of Basel, Basel, Switzerland.
Suzanne R JacobsCentre for International Development and Environmental Research (ZEU), Justus Liebig University Giessen, Giessen, Germany.
Lutz BreuerInstitute for Landscape Ecology and Resources Management (ILR), Justus Liebig University Giessen, Giessen, Germany.
John N QuintonLancaster Environment Centre, Lancaster University, Lancaster, England, UK.
Mariana C RufinoLancaster Environment Centre, Lancaster University, Lancaster, England, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In many parts of Africa, soil erosion is an important problem, which is evident from high sediment yields in tropical montane streams. Previous studies in Kenya pointed to a large contribution from catchments cultivated by smallholder farmers. This led to the hypothesis that unpaved tracks and gullies are the main sediment sources in smallholder agriculture catchments of the highlands of Kenya. The aim of this study was to investigate the sediment sources with sediment fingerprinting to generate the knowledge base to improve land management and to reduce sediment yields. Four main sediment sources (agricultural land, unpaved tracks, gullies and channel banks) and suspended sediments were analysed for biogeochemical elements as potential tracers. To apportion the catchments target sediment to different sources, we applied the MixSIAR un-mixing modelling under a Bayesian framework. Surprisingly, the fingerprinting analysis showed that agricultural land accounted for 75% (95% confidence interval 63-86%) of the total sediment. Channel banks contributed 21% (8-32%), while the smallest contributions to sediment were generated by the unpaved tracks and gullies with 3% (0-12%) and 1% (0-4%), respectively. Erosion management strategies should target agricultural lands with an emphasis on disconnecting unpaved tracks form hillslope source areas to reduce sediment yields to Lake Victoria.

Identifiers

PMID32908233
PMCPMC7481190

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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.