<p>Soil physicochemical properties are highly sensitive to land-use change in tropical Africa, yet the contribution of bamboo-dominated systems to soil fertility restoration remains insufficiently documented in Cameroon. This study evaluated the effects of bamboo-based land uses on soil properties in the Western Highlands of Cameroon. Three land-use systems located within a pedologically homogeneous volcanic landscape were compared: Natural Bamboo Forest (BF), Bamboo-Based Agroforestry (BBA), and Conventional Agricultural Plots (AP). Eighteen composite soil samples were collected from three independent plots per land-use system at two depths (0–20&#xa0;cm and 20–40&#xa0;cm). Physical and chemical properties were analyzed using standard laboratory methods, and land-use effects were tested by one-way analysis of variance conducted separately for each depth (<i>p</i> ≤ 0.05). At 0–20&#xa0;cm, soil organic carbon (SOC) was significantly higher under BF (SOC = 4.65%) compared with BBA and AP. Exchangeable potassium also differed significantly among land uses at this depth, with the highest values recorded in BF (0.74&#xa0;cmol&#xa0;kg⁻<sup>1</sup>). In contrast, cation exchange capacity, calcium, magnesium, sodium, total nitrogen, and available phosphorus did not show significant land-use differences, although numerical trends generally favored bamboo systems. Soil pH remained slightly acidic (6.0–6.7) across all land uses, and available phosphorus was uniformly low (&lt; 12&#xa0;mg&#xa0;kg<sup>−1</sup>). Overall, natural bamboo forests are associated with improved surface soil organic matter and potassium cycling relative to conventional agriculture, while bamboo-based agroforestry systems provide intermediate benefits (BF &gt; BBA &gt; AP). These results highlight the potential of bamboo-based systems for surface soil restoration and underscore the need for multisite studies integrating biological indicators to strengthen inference across agroecological contexts.</p>

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Effects of bamboo plantations on soil physicochemical properties in the western highlands of Cameroon

  • Gilles Rolin Ananfack Kenfack,
  • Joseph Guepi Vounang Zetekouang,
  • Marie Louise Avana Tientcheu,
  • Temgoua Emile

摘要

Soil physicochemical properties are highly sensitive to land-use change in tropical Africa, yet the contribution of bamboo-dominated systems to soil fertility restoration remains insufficiently documented in Cameroon. This study evaluated the effects of bamboo-based land uses on soil properties in the Western Highlands of Cameroon. Three land-use systems located within a pedologically homogeneous volcanic landscape were compared: Natural Bamboo Forest (BF), Bamboo-Based Agroforestry (BBA), and Conventional Agricultural Plots (AP). Eighteen composite soil samples were collected from three independent plots per land-use system at two depths (0–20 cm and 20–40 cm). Physical and chemical properties were analyzed using standard laboratory methods, and land-use effects were tested by one-way analysis of variance conducted separately for each depth (p ≤ 0.05). At 0–20 cm, soil organic carbon (SOC) was significantly higher under BF (SOC = 4.65%) compared with BBA and AP. Exchangeable potassium also differed significantly among land uses at this depth, with the highest values recorded in BF (0.74 cmol kg⁻1). In contrast, cation exchange capacity, calcium, magnesium, sodium, total nitrogen, and available phosphorus did not show significant land-use differences, although numerical trends generally favored bamboo systems. Soil pH remained slightly acidic (6.0–6.7) across all land uses, and available phosphorus was uniformly low (< 12 mg kg−1). Overall, natural bamboo forests are associated with improved surface soil organic matter and potassium cycling relative to conventional agriculture, while bamboo-based agroforestry systems provide intermediate benefits (BF > BBA > AP). These results highlight the potential of bamboo-based systems for surface soil restoration and underscore the need for multisite studies integrating biological indicators to strengthen inference across agroecological contexts.