Ecological Assessment of Riparian Vegetation Along the Banks of the River Panjkora, Hindukush Range

Physiographic, geographic, and environmental gradients influence the development of plant communities. This study assessed how environmental gradients affect riparian vegetation along the River Panjkora, aiming to find relationships between vegetation and abiotic factors through indicator species analysis. Vegetation was sampled using the quadrat method (1 × 1 m2 for herbs, 5 × 5 m2 for shrubs, 10 × 10 m2 for trees), and soil samples were analyzed for edaphic variables. Indicator species and ordination analyses were performed using PCORD (version 5) and CANOCO (version 4.5) software to understand species diversity. Detrended correspondence analysis (DCA) and canonical correspondence analysis (CCA) identified species patterns and their links to environmental factors. A total of 216 plant species were recorded across seven stations, grouped into five communities. Community 01, Melia azedarach, Punica granatum, and Asparagus racemosus, are affected by Cr, p ≤ 0.03; Fe, p ≤ 0.01; Zn, p ≤ 0.04; and Mg, p = 0.03. On the other hand, Community 02, Populus alba, Debregeasia saeneb, and Youngia japonica, are controlled by Co, p = 0.01; pH, p = 0.03; Cd, p = 0.04; EC, p = 0.03; and TDSs, p = 0.03. The third community, with indicator species Pinus roxburghii, Rydingia limbata, and Cheilanthes pteridioides, is strongly influenced by Cr, p ≤ 0.05; Cu, p ≤ 0.03; TDSs, p = 0.02; and Zn, p = 0.03. Community 04, consisting of Ficus carica, Polygonum plebeium, and Avena sativa, is shaped by Na, p = 0.01; K, p ≤ 0.05; and Fe, p = 0.04. The fifth community, represented by Ficus palmata, Rosa multiflora, and Heliotropium europaeum, is influenced by pH, p ≤ 0.04 and Mn, p = 0.03. DCA displayed maximum gradient lengths of 6.443 (eigenvalue 0.742) on axis 1, 5.222 (0.662) on axis 2, 4.053 (0.600) on axis 3, and 4.791 (0.464) on axis 4. Soil pH, heavy metals (Cr, Fe, Zn, Mg, Co, Cd, Cu, Na, K, and Mn), EC, and TDSs were the main factors shaping community structure. The indicator species analysis is recommended to identify and conserve the rare species and native flora of a particular region.