Environmental Factors Driving the Toxic Mobility between Soil and Vegetation in Riparian Zone Vegetation
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College of Earth and Environmental Sciences, University of the Punjab, Lahore- 54590, Pakistan
Department of Environmental Sciences, Fatima Jinnah Women University, Rawalpindi, Pakistan
Department of Environmental Sciences, University of Gujrat, Hafiz Hayat Campus, Gujrat, 50700, Pakistan
Department of Environmental Sciences and Engineering, Government College University, Faisalabad, 38000, Pakistan
Department of Biological Sciences and Technology, China Medical University, Taichung 40402, Taiwan
Mujahid Farid   

Department of Environmental Sciences, University of Gujrat, Hafiz Hayat Campus, Gujrat, 50700, Pakistan, University of Gujrat, Hafiz Hayat Campus,Gujrat, P, 57000, Gujrat, Pakistan
Submission date: 2020-10-23
Final revision date: 2021-01-25
Acceptance date: 2021-01-28
Online publication date: 2021-08-09
Publication date: 2021-10-01
Pol. J. Environ. Stud. 2021;30(6):5225–5237
The current study for vegetation analysis was carried out along the bank of river Chenab in District Gujrat, Pakistan. Ordination techniques, Canonical Correspondence Analysis (CCA), Detrended Correspondence Analysis (DCA) and TWINSPIN method were used to classify the herbaceous data. A multivariate analysis was employed to assess the connection between the herbaceous flora and environmental factors. Vegetation and soil samples were collected with geographical coordinates. The results revealed that all types of micro and macro nutrients, biotic and abiotic factors have the strongest influence in the existence of plant species and further these factors influenced the both major and minor groups of plant species. Simultaneously Solanum nigrium and Chenopodium berlandieri were found as the most abundant species. Solanum nigrium showed positive response in T-value towards soil moisture and chromium (Cr) while Chenopodium berlandieri showed negative response towards the lead (Pb). The spatial behavior of water quality was explained by an interpolation technique via Inverse Distance Weighted (IDW) to prepare thematic layer maps of all parameters for the Chenab River and this study also provided important information to preserve the herbaceous flora along the bank of Chenab river.