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<p>Vegetation cover change is a significant global challenge that endangers biodiversity stability and to the reduction of soil organic carbon (SOC) sequestration, particularly in emerging nations. This study assessed the impact of vegetation cover change on SOC sequestration in parts of Ibadan, Nigeria, with the aim of enhancing community resilience. Thirty soil samples (0–20&#xa0;cm) were randomly clustered for SOC analysis and bulk density (BD) estimation, which assessed the SOC stock of the area. Digital elevation model (DEM), normalized difference vegetation index (NDVI), and soil-adjusted vegetation index (SAVI) were used as environmental covariates. Random forest (RF) and support vector machine (SVM) algorithms were employed to classify vegetation cover using multi-temporal Landsat images from 2005 to 2025. The classification identified five main classes: bare land, built-up areas, waterbodies, wetlands, and vegetation. The spectral vegetation cover indices revealed a decreasing trend in vegetated lands. The results of the classification showed a relatively high accuracy (overall accuracy &gt; 80%), with RF (&gt; 90%) outperforming the SVM algorithm. The results showed a decrease in vegetation (34%) and a shift in wetland areas (18%), along with the transition of waterbodies (2%) into a significant increase in built-up areas (22%) and bare land (26%) from 2005 to 2025. SOC stock values for the study decreased from 63.8 to 32.4&#xa0;Mg&#xa0;ha <sup>−1</sup> between 2025 and 2005, respectively. These findings underscore the critical relationship between SOC dynamics and vegetation cover changes, emphasizing the urgent need for reforestation, sustainable land management practices, and a balance between development and environmental sustainability, particularly in areas vulnerable to climate change.</p>

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Changes in Vegetation Cover Influence Organic Carbon Sequestration Potential in the Nigerian Landscape

  • 期刊论文

  • 发表日期：

    2025年8月14日

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  • Anthony Olamiji Tobore,
  • Ugonna C Nkwunonwo,
  • Ganiyu Oyerinde,
  • Adewole Oluwatosin,
  • Bamidele Samuel,
  • Eriadura Ayooluwa Olowookere,
  • Babatunde Joseph Fagbohun

摘要

Vegetation cover change is a significant global challenge that endangers biodiversity stability and to the reduction of soil organic carbon (SOC) sequestration, particularly in emerging nations. This study assessed the impact of vegetation cover change on SOC sequestration in parts of Ibadan, Nigeria, with the aim of enhancing community resilience. Thirty soil samples (0–20 cm) were randomly clustered for SOC analysis and bulk density (BD) estimation, which assessed the SOC stock of the area. Digital elevation model (DEM), normalized difference vegetation index (NDVI), and soil-adjusted vegetation index (SAVI) were used as environmental covariates. Random forest (RF) and support vector machine (SVM) algorithms were employed to classify vegetation cover using multi-temporal Landsat images from 2005 to 2025. The classification identified five main classes: bare land, built-up areas, waterbodies, wetlands, and vegetation. The spectral vegetation cover indices revealed a decreasing trend in vegetated lands. The results of the classification showed a relatively high accuracy (overall accuracy > 80%), with RF (> 90%) outperforming the SVM algorithm. The results showed a decrease in vegetation (34%) and a shift in wetland areas (18%), along with the transition of waterbodies (2%) into a significant increase in built-up areas (22%) and bare land (26%) from 2005 to 2025. SOC stock values for the study decreased from 63.8 to 32.4 Mg ha −1 between 2025 and 2005, respectively. These findings underscore the critical relationship between SOC dynamics and vegetation cover changes, emphasizing the urgent need for reforestation, sustainable land management practices, and a balance between development and environmental sustainability, particularly in areas vulnerable to climate change.