VEGETATION ANALYSIS ALONG RIVER INDUS OF DISTRICT SHANGLA: A MULTIVARIATE APPROACH | Journal of ...

The study was carried out to investigate species diversity and vegetation analyses along the Indus River in Shangla District. There were a total of 118 plant species identified, divided into 58 families. The vegetation of the area was divided into four plant communities by two ways indicator species analysis: (1) Acacia, Cotoneaster, Gymnosporia community, (2) Dodonia, Gymnosporia, Justica community, (3) Zanthoxylem, Colebrookia, Chenopodium community, and (4) Delbergia, Ficus, Verbena community. For species data, the overall variation was 2.46 SD. A detrended corresponding analysis revealed that axis 1 has the highest Eigen value (0.27). The canonical matching analysis revealed a linear correlation between the various axes. Pseudo – f =1.2, p =0.012 was the permutations test result for all axes. When compared to other environmental factors, organic matter and phosphorus were more strongly correlated. In comparison to electrical conductivity, soil saturation, potassium, and height have a far greater impact on species composition, according to the classic matching analysis. The findings demonstrated that soil properties, altitudinal gradient, steepness, and slope exposure all played a role in the distribution of vegetation pattern. Due to overexploitation of medicinal plant species, fuel wood, lumber, and overgrazing, the vegetation of the study region has been steadily dwindling. This research will serve as a foundation for future phytodiversity research and protection.

Please see the link :- https://www.ikprress.org/index.php/JOGAE/article/view/7062