Multivariate analysis of the ecological data of natural vegetation of Lahore district
Paper Details
Multivariate analysis of the ecological data of natural vegetation of Lahore district
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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Arifa Zereen, Sheikh Saeed Ahmad, Andleeb Anwar Sardar, Zaheer-Ud-Din Khan, Muhammad Nawaz (2015), Multivariate analysis of the ecological data of natural vegetation of Lahore district; JBES, V6, N1, January, P69-76
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