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Multivariate analysis of the ecological data of natural vegetation of Lahore district

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Research Paper 01/01/2015
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Multivariate analysis of the ecological data of natural vegetation of Lahore district

Arifa Zereen, Sheikh Saeed Ahmad, Andleeb Anwar Sardar, Zaheer-Ud-Din Khan, Muhammad Nawaz
J. Biodiv. & Environ. Sci. 6(1), 69-76, January 2015.
Copyright Statement: Copyright 2015; The Author(s).
License: CC BY-NC 4.0

Abstract

A study of vegetation and different parameters of soil and water of Lahore District was carried out in this investigation. Vegetation data was evaluated by using multivariate analysis methods i.e., Tow-way Indicator Species Analysis (TWINSPAN) and Canonical Correspondence Analysis (CCA). About seventy eight species belonging to thirty seven families were recorded from forty quadrats in Lahore district. Two major (plant associations) and six sub plant communities (sub associations) were recognized in the study area. The study also considered the relationship of vegetation structure to certain environmental aspects. This relationship was determined by CANOCO analysis. The distribution of plant species with respect to environmental variables indicated that water pH, soil EC, water content and water table showed a great influence upon species distribution. This study also gives useful information to protect and improve the present vegetation cover for conservation of local flora.

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