Affiliations 

  • 1 Islamia College, Department of Botany, Peshawar, Khyber-Pakhtunkhwa, Pakistan
  • 2 University of Malakand, Department of Botany, Khyber-Pakhtunkhwa, Pakistan
  • 3 Sunway University, School of Medical and Life Sciences, Department of Medical Sciences, Dar ul Ehsan, Malaysia
  • 4 Centre for Applied Mathematics and Bioinformatics - CAMB, Gulf University for Science and Technology, Kuwait
  • 5 COMSATS University, Department of Biotechnology, Islamabad, Abbottabad campus, Pakistan
  • 6 University of Swabi, Department of Botany, Swabi, Pakistan
  • 7 Taibah University, College of Applied Medical Sciences, Department of Clinical Laboratory Sciences, Al-Monawara, Saudi Arabia
  • 8 University of Swabi, Department of Chemistry, Khyber Pakhtunkhwa, Pakistan
  • 9 Metharath University, Faculty of Health Science, Pathum Thani, Thailand
  • 10 INTI International University, Faculty of Health and Life Sciences, Nilai, Malaysia
Braz J Biol, 2024;84:e282479.
PMID: 39230079 DOI: 10.1590/1519-6984.282479

Abstract

The phytosociological survey was conducted during 2018-2020. The research area was classified into five ecological zones based on habitat, physiognomy and species composition. Pc-Ord software was used for cluster analysis and four vegetation communities were established. The Quercus baloot-Quercus incana community is situated in Sair at an altitude of 1196 (mean ± SE) m altitude with a 14.1 ± 0 slope angle and contains eleven tree species. The Pinus wallichiana- Ailanthus altissima community had a relatively small number of tree species reported in Shakawlie at 1556 (mean ± SE) with a 17.5 ± 0 slope angle. The Pinus wallichiana- Quercus incana community is distributed in Wali Kandao and Mangi Kandao at altitudes of 2030.5 (mean ± SE) m and the slope angle was 19.2 ± 1.4. This community possesses a total of twenty-one tree species and is highly diverse. Similarly, the Populus alba - Platanus orientalis group was present in Banr Pate, with an altitude of 1613 (mean ± SE) m and a 16.3 slope angle. The principal component analysis (PCA) and non-metric multidimensional scaling (NMS) ordination methods were applied to study the relationships between ecological and soil variables with trees species. The NMS ordination of axis 1 was significantly correlated with Sand% (p<0.2), Nitrogen% (p<0.1) and Pb (mg/kg) (r= 0.876751, p<0.05), while the ordination of axis 2 was significantly correlated with Silt% (p<0.2), Sand% (p<0.2), Organic matter% (p<0.2), K (mg/kg) (r=0.882433, p<0.02), Fe (mg/kg)(r=0.614833, p<0.2), Ca (mg/kg) (r=0.721712, p< 0.2) and Zn (mg/kg) (r=0.609545, p<0.2). Similarly, the PCA ordination of axis 1 revealed that it was significantly correlated with phosphorus, calcium and slope angle, while that of axis 2 was significantly correlated with altitude, zinc and manganese.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.