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Evaluation of ecological aspects of natural vegetation of Pakpattan District using multivariate techniques

Abstract A survey of natural vegetation, soil and water of Pakpattan District was undertaken in this study. Floristic data was analyzed by using multivariate analysis techniques i.e., Tow- way Indicator Species Analysis (TWINSPAN) and Canonical Correspondence Analysis (CCA). A total of fifty six species related to nineteen families were documented from forty quadrats in Pakpattan district. Two major and six sub plant communities were identified in the study area. The study also investigated the relationship of vegetation structure to selected environmental factors. This relationship was determined by CANOCO analysis. The distribution of species in relation to environmental variables indicated that although most of the variables were strongly correlated but failed to play major function in the grouping together of the species. This study also provided important information to preserve and improve the existing vegetation cover for conservation of indigenous flora.

Evaluation of ecological aspects of natural vegetation of Pakpattan District using multivariate

J. Bio. & Env. Sci. 2014 Journal of Biodiversity and Environmental Sciences (JBES) ISSN: 2220-6663 (Print) 2222-3045 (Online) Vol. 5, No. 4, p. 230-238, 2014 http://www.innspub.net RESEARCH PAPER OPEN ACCESS Evaluation of ecological aspects of natural vegetation of Pakpattan District using multivariate techniques Arifa Zereen 1* , Sheikh Saeed Ahmad 2 , Andleeb Anwar Sardar 3 and Zaheer-Ud-Din Khan 3 1 Arifa Zereen, University of Education, Bank Road Campus Lahore, Pakistan 2 Sheikh Saeed Ahmad, Department of Environmental Sciences, Fatima Jinnah Women University, the Mall Rawalpindi, Pakistan 3 Andleeb Anwar Sardar, Department of Botany, Govt. College University Lahore, Pakistan 4 Zaheer-ud-din Khan, Department of Botany, Govt. College University Lahore, Pakistan Article published on October 21, 2014 Key words: Multivariate Technique, Pakpattan District, Plant Communities, Soil and Water Parameters. Abstract A survey of natural vegetation, soil and water of Pakpattan District was undertaken in this study. Floristic data was analyzed by using multivariate analysis techniques i.e., Tow- way Indicator Species Analysis (TWINSPAN) and Canonical Correspondence Analysis (CCA). A total of fifty six species related to nineteen families were documented from forty quadrats in Pakpattan district. Two major and six sub plant communities were identified in the study area. The study also investigated the relationship of vegetation structure to selected environmental factors. This relationship was determined by CANOCO analysis. The distribution of species in relation to environmental variables indicated that although most of the variables were strongly correlated but failed to play major function in the grouping together of the species. This study also provided important information to preserve and improve the existing vegetation cover for conservation of indigenous flora. * Corresponding Author: Arifa Zereen arifazereen@yahoo.com 230 | Zereen et al.

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