Effects of environmental changes on vegetation and soil characteristics at Lewi Afromontane forest and wetland in Northwestern Ethiopia

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作者
Melkamu Kassaye
Mulugeta Tamer
Fekadu Temesgen
Binega Derebe
Yonas Derebe
机构
[1] Injibara University,Forestry and Climate Science
[2] Injibara University,Natural Resource Managment
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关键词
Forest patches; Soil; Slope; Aspect; Elevation;
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摘要
Due to anthropogenic pressures, Ethiopian Afromontane forests, particularly Lewi Mountain and Wetland, are threatened and require urgent restoration planning and implementation. However, there is a lack of scientific baseline information to provide efficient restoration planning and implementation. Thus, this scientific research is being conducted to evaluate the condition of the vegetation and soil properties, specific to environmental variability in the study area. The study area was stratified as a natural forest patch, plantation stands, and wetland, and transect lines were established at a distance of 200 m across the elevation. The 0.04-ha plots were established at transects with a distance of 200 m. The biophysical and environmental data were collected and analyzed at each plot using descriptive and inferential statistics. The vegetation and soil parameters of natural forest patches, slopes, aspects, and elevation gradients vary considerably (p 0.029). The natural forest patches, gentle slopes, lower elevations, and northeast-facing gradients had the largest species diversity (1.7–2.4) and carbon stock (1105.9 tons ha−1). At the natural forest patch, there was significant human and livestock disturbance (3) and sporadic vegetation cover (< 50%). Natural forest patches and plantation stands had the best textural proportion, organic carbon (2.5–2.63%), total nitrogen (0.22–0.23%), available phosphorus (27.9 ppm), and available potassium (11.3–12.9 ppm). The study discovered that the soil and vegetation state at Lewi Mountain and the wetland fluctuated in response to environmental changes, necessitating restoration design and implementation tailored to environmental variability. This data is critical as a foundation for local, national, and international ecological restoration agents.
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