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

**Authors:** Joseph Oduro Appiah, Richard Larbie

PMC · DOI: 10.1007/s10661-026-14989-9 · Environmental Monitoring and Assessment · 2026-01-19

## TL;DR

This study explores how vegetation affects soil moisture in a degraded mining area in Ghana, showing that grasses and shrubs significantly increase soil moisture.

## Contribution

The study introduces a GIS-based regression approach to quantify the impact of vegetation on soil moisture in post-mining landscapes.

## Key findings

- The presence of open grasses, open shrubs, and closed shrubs explains 52% of soil moisture variation.
- Soil moisture is significantly higher in vegetated areas compared to bare soil.
- Multivariable models reveal that vegetation factors mask the influence of soil temperature on moisture.

## 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 (R2 = 0.520, p < 0.05). Soil moisture is 18.04%, 15.56%, and 14.30%, significantly higher in open grasses, open shrubs, and closed shrubs, respectively, compared to bare soil (p < 0.05). While soil temperature significantly predicts soil moisture values in the univariate model, its statistical significance is masked by factors, including open grasses, open shrubs, closed shrubs, elevation, slope, topographic wetness index, north-facing direction, and south-facing direction, in the multivariable model. Our results suggest that in savanna areas where moisture-laden soil is essential for reclaiming mine-degraded landscapes, and enhancing the likelihood of achieving Sustainable Development Goal 15, it is necessary first to improve grass cover to moisten the soil, followed by planting tree- and non-tree shrubs.

## Full-text entities

- **Diseases:** DEM (MESH:D004195), drought (MESH:C536747)
- **Chemicals:** water (MESH:D014867), OS (MESH:D009992), CS (MESH:D002586), gold (MESH:D006046), OG (-), stainless steel (MESH:D013193), sugars (MESH:D000073893), nitrogen (MESH:D009584), carbon (MESH:D002244)
- **Species:** Adansonia digitata (baobab, species) [taxon 69109], Vitellaria paradoxa (karite-nu, species) [taxon 292385], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

11 references — full list in the complete paper: https://tomesphere.com/paper/PMC12812780/full.md

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Source: https://tomesphere.com/paper/PMC12812780