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The hudiara drain wastewater effect on the distribution of surrounding herbaceous vegetation

Abstract

In this study, phytosociological survey using Braun-Blanquet's approach was undertaken to investigate the Hudiara drain wastewater influence on the surrounding vegetation. A total of 99 quadrats were laid to identify the plant species and altogether 66 species were recorded. Multivariate analysis of vegetation data (using CANOCO 4.5. software) classified the vegetation into two major communities including Cynodon dactylon, Boerhaavia diffusa, Parthenium hysterphorus and Xanthium strumarium groups. The presence of these species designated the area as waste land strongly supporting the growth of such species. The pattern of floral diversity was also not uniform and exhibited considerable variation. Canonical Correspondence Analysis revealed that the distribution of vegetation has correlation with environmental variables, but their role in the grouping of species remained non significant. However, soil EC played some role in the grouping of Stellaria media and Fagonia cretic. Similarly, some species viz., Ricinus communis, Boerhaavia diffusa and Phragmites karka showed a correlation with Fe and Cr respectively, suggesting Phragmites karka as a suitable candidate for chromium contaminated sites. (author)
Publication Date:
Jun 15, 2010
Product Type:
Journal Article
Resource Relation:
Journal Name: Pakistan Journal of Botany; Journal Volume: 42; Journal Issue: 3
Subject:
54 ENVIRONMENTAL SCIENCES; CHROMIUM; DRAINAGE; HERBS; LAND RECLAMATION; PLANTS; WASTE WATER; WATER POLLUTION; WATER QUALITY; ELEMENTS; ENVIRONMENTAL QUALITY; HYDROGEN COMPOUNDS; LIQUID WASTES; METALS; OXYGEN COMPOUNDS; POLLUTION; TRANSITION ELEMENTS; WASTES; WATER
OSTI ID:
21420808
Country of Origin:
Pakistan
Language:
English
Other Identifying Numbers:
Journal ID: ISSN 0556-3321; TRN: PK1100126015196
Submitting Site:
INIS
Size:
page(s) 1745-1754
Announcement Date:
May 09, 2011

Citation Formats

Shah, F R, Ahmad, N, Zahid, D M, Masood, K R, and Ahmad, S.S., E-mail: dinmuhammadzahid@bzu.edu.p. The hudiara drain wastewater effect on the distribution of surrounding herbaceous vegetation. Pakistan: N. p., 2010. Web.
Shah, F R, Ahmad, N, Zahid, D M, Masood, K R, & Ahmad, S.S., E-mail: dinmuhammadzahid@bzu.edu.p. The hudiara drain wastewater effect on the distribution of surrounding herbaceous vegetation. Pakistan.
Shah, F R, Ahmad, N, Zahid, D M, Masood, K R, and Ahmad, S.S., E-mail: dinmuhammadzahid@bzu.edu.p. 2010. "The hudiara drain wastewater effect on the distribution of surrounding herbaceous vegetation." Pakistan.
@misc{etde_21420808,
title = {The hudiara drain wastewater effect on the distribution of surrounding herbaceous vegetation}
author = {Shah, F R, Ahmad, N, Zahid, D M, Masood, K R, and Ahmad, S.S., E-mail: dinmuhammadzahid@bzu.edu.p}
abstractNote = {In this study, phytosociological survey using Braun-Blanquet's approach was undertaken to investigate the Hudiara drain wastewater influence on the surrounding vegetation. A total of 99 quadrats were laid to identify the plant species and altogether 66 species were recorded. Multivariate analysis of vegetation data (using CANOCO 4.5. software) classified the vegetation into two major communities including Cynodon dactylon, Boerhaavia diffusa, Parthenium hysterphorus and Xanthium strumarium groups. The presence of these species designated the area as waste land strongly supporting the growth of such species. The pattern of floral diversity was also not uniform and exhibited considerable variation. Canonical Correspondence Analysis revealed that the distribution of vegetation has correlation with environmental variables, but their role in the grouping of species remained non significant. However, soil EC played some role in the grouping of Stellaria media and Fagonia cretic. Similarly, some species viz., Ricinus communis, Boerhaavia diffusa and Phragmites karka showed a correlation with Fe and Cr respectively, suggesting Phragmites karka as a suitable candidate for chromium contaminated sites. (author)}
journal = []
issue = {3}
volume = {42}
place = {Pakistan}
year = {2010}
month = {Jun}
}