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<p>Effective watershed management is crucial for mitigating soil erosion and ensuring sustainable land use management. This study prioritised watersheds in the Noun Division for erosion control by assessing morphometric and land use parameters. We employed a data-driven approach, integrating Geographic Information System and Remote Sensing techniques to delineate seven sub-watersheds, compute their morphometric, land cover attributes, and prioritise them for erosion management. Thirteen linear, five areal, and seven relief morphometric parameters were derived from terrain-corrected ALOS PALSAR DEM while five land use and land cover (LULC) classes were mapped out from quarterly mosaicked Sentinel-2 imagery. A compound ranking methodology was employed, guided by the assumption that linear and relief attributes positively correlate with erosion risk, while areal attributes correlate negatively. Hence, watersheds exhibiting low areal and high linear and relief morphometric values were assigned higher priority ranks. Similarly, watersheds predominantly characterised by settlements and agricultural land were ranked higher, whereas those dominated by forest, rangeland, and wetland were accorded lower ranks. The final prioritisation was based on the mean compound rank across the thirty parameters, with lower averages indicating higher susceptibility. The prioritisation results identified the Mvi watershed as the highest priority for erosion management, with a mean compound rank of 2.33, followed by the Bamendjin (3.50) and Nkoup (3.57) watersheds. Farmlands cover 62.02%, 52.19%, and 49.71% of the Mvi, Nkoup, and Bamendjin areas, respectively, implying that sustainable agricultural practices can play a pivotal role in mitigating erosion risks within these high-priority zones. The study recommends the implementation of soil-conserving agricultural practices like afforestation, cover cropping and minimum tillage in high-priority areas to mitigate erosion risk. It also advocates further research at the micro‑watershed scale within high‑priority zones that incorporates the impacts of LULC change to identify localised erosion hotspots for targeted management.</p>

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Analysis of priority watersheds for erosion management in the Noun Division using morphometric and land use indicators

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月25日

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  • Dereck Mbeh Petiangma,
  • Sunday Shende Kometa,
  • Niba Mary Fonteh

摘要

Effective watershed management is crucial for mitigating soil erosion and ensuring sustainable land use management. This study prioritised watersheds in the Noun Division for erosion control by assessing morphometric and land use parameters. We employed a data-driven approach, integrating Geographic Information System and Remote Sensing techniques to delineate seven sub-watersheds, compute their morphometric, land cover attributes, and prioritise them for erosion management. Thirteen linear, five areal, and seven relief morphometric parameters were derived from terrain-corrected ALOS PALSAR DEM while five land use and land cover (LULC) classes were mapped out from quarterly mosaicked Sentinel-2 imagery. A compound ranking methodology was employed, guided by the assumption that linear and relief attributes positively correlate with erosion risk, while areal attributes correlate negatively. Hence, watersheds exhibiting low areal and high linear and relief morphometric values were assigned higher priority ranks. Similarly, watersheds predominantly characterised by settlements and agricultural land were ranked higher, whereas those dominated by forest, rangeland, and wetland were accorded lower ranks. The final prioritisation was based on the mean compound rank across the thirty parameters, with lower averages indicating higher susceptibility. The prioritisation results identified the Mvi watershed as the highest priority for erosion management, with a mean compound rank of 2.33, followed by the Bamendjin (3.50) and Nkoup (3.57) watersheds. Farmlands cover 62.02%, 52.19%, and 49.71% of the Mvi, Nkoup, and Bamendjin areas, respectively, implying that sustainable agricultural practices can play a pivotal role in mitigating erosion risks within these high-priority zones. The study recommends the implementation of soil-conserving agricultural practices like afforestation, cover cropping and minimum tillage in high-priority areas to mitigate erosion risk. It also advocates further research at the micro‑watershed scale within high‑priority zones that incorporates the impacts of LULC change to identify localised erosion hotspots for targeted management.