Developing an indicator for assessing wetland degradation based on soil quality, water drainage, and human-related landscape factors

• Wetlands suffer from high degradation in tropical areas due to anthropogenic pressures. • Brickmaking zones show higher wetland soil degradation than agriculture in eastern DR Congo. • Degradation severity is correlated with drainage and human-related landscapes. • Wetland Soil Degradation Index (WSDI) can aid in restoration planning and sustainability efforts. Due to environmental stress and anthropogenic pressures, wetlands are declining and being degraded in areas with increased settlement and road construction. Although various indicators have been developed to assess ecosystem degradation, few studies have specifically addressed wetland soil degradation and its underlying drivers. In this study, we attempted to create a Wetland Soil Degradation indicator (WSDI) and identify its driving factors in a contrasting landscape characterized by significant anthropogenic changes. We selected the eastern Democratic Republic of Congo (DRC), a region where severe wetland degradation primarily caused by agriculture and brickmaking activities has been reported. We combined Geographic Information System (GIS), remote sensing approaches and soil profile analysis. For landscape change, four concentric circles from the two wetland centers were made. A WSDI was developed and refined using the minimum data set (MDS) coupled with multivariate statistical techniques to assess the level of wetland degradation. For the case study, an overall WSDI score averaged 0.52 across the two sites. Higher degradation was observed in brickmaking (0.62) compared to agriculture zones (0.52), while intact zones had a lower score (0.28). Degradation was also more severe in completely drained areas (0.72) than in partially (0.48) and intact, non-drained areas (0.28). Significant correlations were found between the level of degradation and human-related landscapes, notably the proximity to villages, rural settlements, and roads. Wetland degradation was strongly linked to road accessibility and the distance to human-related landscapes. The indicator confirmed a gradual degradation pattern, starting from the wetland edges and moving toward the center. Overall, the WSDI is essential for diagnostic purposes before developing a restoration plan to ensure sustainability and to question these critical ecosystems’ future.

Authors

Institutions

Publication Details

Journal
Ecological Indicators
Published
2025-09-01
DOI
https://doi.org/10.1016/j.ecolind.2025.113987
Primary Topic
Soil erosion and sediment transport
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Developing an indicator for assessing wetland degradation based on soil quality, water drainage, and human-related landscape factors

Géant Basimine Chuma, Serge Schmitz, Mushagalusa Nachigera Gustave
Ecological Indicators
Soil erosion and sediment transport
article

Developing an indicator for assessing wetland degradation based on soil quality, water drainage, and human-related landscape factors

Géant Basimine Chuma, Serge Schmitz, Mushagalusa Nachigera Gustave
article en

Abstract

• Wetlands suffer from high degradation in tropical areas due to anthropogenic pressures. • Brickmaking zones show higher wetland soil degradation than agriculture in eastern DR Congo. • Degradation severity is correlated with drainage and human-related landscapes. • Wetland Soil Degradation Index (WSDI) can aid in restoration planning and sustainability efforts. Due to environmental stress and anthropogenic pressures, wetlands are declining and being degraded in areas with increased settlement and road construction. Although various indicators have been developed to assess ecosystem degradation, few studies have specifically addressed wetland soil degradation and its underlying drivers. In this study, we attempted to create a Wetland Soil Degradation indicator (WSDI) and identify its driving factors in a contrasting landscape characterized by significant anthropogenic changes. We selected the eastern Democratic Republic of Congo (DRC), a region where severe wetland degradation primarily caused by agriculture and brickmaking activities has been reported. We combined Geographic Information System (GIS), remote sensing approaches and soil profile analysis. For landscape change, four concentric circles from the two wetland centers were made. A WSDI was developed and refined using the minimum data set (MDS) coupled with multivariate statistical techniques to assess the level of wetland degradation. For the case study, an overall WSDI score averaged 0.52 across the two sites. Higher degradation was observed in brickmaking (0.62) compared to agriculture zones (0.52), while intact zones had a lower score (0.28). Degradation was also more severe in completely drained areas (0.72) than in partially (0.48) and intact, non-drained areas (0.28). Significant correlations were found between the level of degradation and human-related landscapes, notably the proximity to villages, rural settlements, and roads. Wetland degradation was strongly linked to road accessibility and the distance to human-related landscapes. The indicator confirmed a gradual degradation pattern, starting from the wetland edges and moving toward the center. Overall, the WSDI is essential for diagnostic purposes before developing a restoration plan to ensure sustainability and to question these critical ecosystems’ future.

Ecological IndicatorsVol. 179
University of Liège (BE), Université Evangélique en Afrique (CD)
Université de Liège
Openalex Percentile: Top 71%
Soil erosion and sediment transport
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.