Tree diversity and biomass carbon stock analysis along altitudinal gradients in coffee-based agroforestry system of Western Ethiopia

Chemeda, Beshea Abdissa; Senbeta, Feyera; Hizikias, Emiru Birhane

doi:10.1080/23311932.2022.2123767

Cited by 10 publications

(1 citation statement)

References 34 publications

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“…The high species diversity and richness of community 2 could be due to the altitudinal range (2511–2664 m.a.s.l) which is found in the Melit forest patch with relatively low disturbance. Also, species at higher altitudes have higher diversity due to low disturbance [ 55 ]. Furthermore, grazing and human interaction are less effective in the community due to most of the plants have no significant effect on economic value.…”

Section: Discussionmentioning

confidence: 99%

Ecological determinants in plant community structure across dry afromontane forest patches of Northwestern Ethiopia

Yinebeb,

Lulekal,

Bekele

2023

BMC Ecol Evo

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Ethiopia is a mountainous country with great geographic diversity. The diversified topographic features in Ethiopia made the country have a rich biodiversity forest cover in tropical Africa. This made Ethiopia have the largest floral diversity in tropical Africa. This floral diversity is rich in endemic elements. About 6,027 vascular plant species (including subspecies) with about 10.7% endemism have been documented. Plant community types are primarily influenced by topographic factors, as well as disturbance and environmental factors. The objective of this study is to demonstrate that 1: The forest patches in the study area exhibit distinct plant community types. 2: The composition and structure of these plant communities are influenced by various environmental variables. To achieve this, a total of 76 plots were used to collect vegetation and environmental data. The collected data were then analyzed using the R software, employing agglomerative hierarchical cluster analysis and redundancy analysis (RDA) to identify plant communities and assess the relationship between these communities and environmental variables.R software was used to identify plant communities and analyze the relationship between plant community types and environmental variables using agglomerative hierarchical cluster analysis and redundancy analysis (RDA). Four plant community types were identified. The RDA results highlighted the significant impact (p < 0.005) of altitude, aspect, slope, grazing, and human interference on species distribution and the formation of plant communities. The RDA results highlighted the significant impact (p < 0.005) of altitude, aspect, slope, grazing, and human interference on species distribution and the formation of plant communities.The findings indicate that the variation in plant communities is closely associated with topographic factors such as altitude, slope, aspect, as well as disturbance factors like grazing, and human interference, with altitude being the most influential factor. Based on these findings, it is recommended that conservation plans take into consideration the effects of grazing and human interference in order to address the challenges faced in conserving forest patches in the future.Additionally, further research efforts should focus on mitigating disturbance factors and understanding the environmental variables that affect forest patches to enhance their conservation.

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Section: Discussionmentioning

confidence: 99%