This paper presents the results of a phytosociological study on the Afroalpine vegetation of the Ruwenzori Mountains, one of the most prominent mountain ranges in Africa. This study marks the pioneering comprehensive investigation into the plant communities of this region, which holds significant phytogeographic importance. Through statistical analyses, eight distinct plant communities, three new alliances, two new orders, and one new class were identified within the altitudinal range of 3500 to 4600 m above sea level. These communities are well-defined from both floristic and ecological perspectives. Hierarchical classification was conducted using the quantitative Sørensen (Bray-Curtis) distance measure and the beta flexible linkage method. Furthermore, indicator species for each group were determined by calculating fidelity and constancy (occurrence frequency) within the classified dataset. To assess the validity of the classification results, non-metric multidimensional scaling (NMDS) was carried out. Thes

Phytosociological Investigations on the Afroalpine Vegetation of the Ruwenzori Mountains (Uganda)

Cambria, Salvatore
Primo
;
Minissale, Pietro
;
2024-01-01

Abstract

This paper presents the results of a phytosociological study on the Afroalpine vegetation of the Ruwenzori Mountains, one of the most prominent mountain ranges in Africa. This study marks the pioneering comprehensive investigation into the plant communities of this region, which holds significant phytogeographic importance. Through statistical analyses, eight distinct plant communities, three new alliances, two new orders, and one new class were identified within the altitudinal range of 3500 to 4600 m above sea level. These communities are well-defined from both floristic and ecological perspectives. Hierarchical classification was conducted using the quantitative Sørensen (Bray-Curtis) distance measure and the beta flexible linkage method. Furthermore, indicator species for each group were determined by calculating fidelity and constancy (occurrence frequency) within the classified dataset. To assess the validity of the classification results, non-metric multidimensional scaling (NMDS) was carried out. Thes
2024
Africa
alpine
ecology
mountain vegetation
plant diversity
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/647436
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