Evidence map›Paper›PMID 41549159›Full record

ArticleEnvironmental monitoring and assessment2026

Towards sustainable land use: A geospatial analysis of soil moisture content in a mining-induced degraded landscape of Ghana.

Joseph Oduro Appiah, Richard Larbie

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 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.

Joseph Oduro AppiahDepartment of Geography, Bucknell University, One Dent Dr., Lewisburg, PA, 17837, USA. joa004@bucknell.edu.ORCID http://orcid.org/0000-0001-9370-4004
Richard LarbieDepartment of Geography and Rural Development, Kwame Nkrumah University of Science and Technology, Private Mail Bag (PMB), Kumasi, Ghana.ORCID http://orcid.org/0009-0004-3938-5400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mining activities in tropical savanna regions can severely disrupt soil structure and vegetation, yet the factors influencing soil moisture content in post-mining landscapes are not fully understood. This study focused on the factors associated with soil moisture in a mining-induced degraded landscape. This study hypothesized that there is no significant relationship between soil moisture and the presence of open grasses, open shrubs, and closed shrubs. Through a field survey, soil moisture data were collected from an abandoned, unreclaimed mine land in Ghana. Ten univariate and two multivariable GIS-based generalized linear regression models were constructed to assess the relationship between soil moisture and several independent variables, including the presence of vegetation. The results show that the presence of open grasses, open shrubs, and closed shrubs significantly explains 52% of the variation in soil moisture (R

Indexed as

Conservation of Natural ResourcesEnvironmental MonitoringMiningSoilWaterEcosystemGeographic Information SystemsGhanaSoilWaterEnvironmental modelingGISRegression analysisSoil moistureSurface miningVolumetric water content

Identifiers

PMID41549159
PMCPMC12812780

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.