Department of Biology, Dilla University, Dilla, Ethiopia.
Department of Plant Biology and Biodiversity Management, Addis Ababa University, Addis Ababa, Ethiopia.
PLoS One. 2024 Aug 6;19(8):e0307888. doi: 10.1371/journal.pone.0307888. eCollection 2024.
Understanding plant community characteristics, distributions, and environmental relationships is crucial for sustainable forest management. Thus, this study examined the relationships between plant community composition and topographic and soil variables within the Arjo-Diga forest. Vegetation data were collected from 72 nested plots (30 × 30 m2 and 2 × 2 m2) systematically laid along nine transects spaced 300 to 700 m apart. Environmental variables, including soil properties and anthropogenic disturbance, were recorded within each main plot. Agglomerative hierarchical cluster analysis and canonical correspondence analysis (CCA) using R software were employed to identify distinct plant community types and examine their relationships with environmental factors. The Shannon‒Wiener diversity index was calculated to quantify and compare species diversity among the identified community types. The analysis revealed five distinct plant community types: 1: Maesa lanceolata-Ehretia cymosa, 2: Trichilia dregeana-Flacourtia indica, 3: Acacia abyssinica-Millettia ferruginea, 4: Combretum collinum-Croton macrostachyus, and 5: Terminalia macroptera-Piliostigma thonningii. The CCA results highlighted the significant influence (p < 0.05) of altitude, CEC, TN, and disturbance on species distribution and plant community formation. The findings indicate that variation in plant communities is closely associated with altitude, TN, and CEC, as well as with disturbance factors such as human interventions, with elevation being the most influential factor. Based on these findings, it is recommended that conservation plans consider the effects of human interventions to address the challenges in conserving forests in the future. Additionally, further research efforts should focus on mitigating disturbance factors and understanding the environmental variables that affect forests to improve their protection.
了解植物群落特征、分布和环境关系对于可持续森林管理至关重要。因此,本研究考察了 Arjo-Diga 森林内植物群落组成与地形和土壤变量之间的关系。通过沿 9 条间隔 300 至 700 米的样带系统布置 72 个嵌套样方(30×30 m2 和 2×2 m2),收集了植被数据。在每个主样方内记录了环境变量,包括土壤特性和人为干扰。使用 R 软件进行的凝聚层次聚类分析和典范对应分析(CCA)用于识别不同的植物群落类型并研究它们与环境因素的关系。计算香农-威纳多样性指数以量化和比较所识别的群落类型中的物种多样性。分析结果揭示了五种不同的植物群落类型:1:Maesa lanceolata-Ehretia cymosa,2:Trichilia dregeana-Flacourtia indica,3:Acacia abyssinica-Millettia ferruginea,4:Combretum collinum-Croton macrostachyus,5:Terminalia macroptera-Piliostigma thonningii。CCA 结果突出表明,海拔、CEC、TN 和干扰对物种分布和植物群落形成有显著影响(p<0.05)。研究结果表明,植物群落的变化与海拔、TN 和 CEC 以及人类干预等干扰因素密切相关,其中海拔是最具影响力的因素。基于这些发现,建议保护计划考虑人类干预的影响,以应对未来保护森林的挑战。此外,应进一步努力减轻干扰因素,并了解影响森林的环境变量,以改善对森林的保护。