Multivariate Analysis of Some Mangrove Forests from Coastal Areas of Pakistan

Abstract

This study focused on the multivariate analysis i.e. cl twenty eight stands of mangrove forests at six different sites i.e. Sandspit, Port Qasim, Kemari, Korangi Crossing, Ketti Bunder and Sonmiani. For quantitative measurement 10 x10 square feet quadrats were made randomly at 25 m intervals and small quadrats (1 X 1 m 2 ) were laid inside the main quadrats for quantitative sampling of pneumatophores. The relationships between vegetation and physico investigated. The group structure was exposed by an agglomerative clustering technique while major trends were disclos cluster analysis showed that the six groups of tree vegetation were associated with density/ha and to more or lesser extent with physico edaphic variables such as soil nutrient showed with one or more ordination axes. Abstract Article InformationThis study focused on the multivariate analysis i.e. cluster analysis and ordination of forests at six different sites i.e. Sandspit, Port Qasim, Kemari, Korangi Crossing, Ketti Bunder and Sonmiani. For quantitative measurement 10 x10 square feet quadrats were made randomly at 25 m intervals and small quadrats (1 main quadrats for quantitative sampling of pneumatophores. The relationships between vegetation and physico-chemical properties were also investigated. The group structure was exposed by an agglomerative clustering technique while major trends were disclosed by PCA ordination. The results of the cluster analysis showed that the six groups of tree vegetation were associated with density/ha and to more or lesser extent with physico-chemical variables. Some of the edaphic variables such as soil nutrient showed significant or weak linear relationships

Murree (Pakistan) çevresindeki oldukça bozulmuş iğne yapraklı ormanların vejetasyonu

“…Organic matter was calculated following Nelson & Sommers (1996) method. Soil nutrients and related parameters (DO, ORP, TDS, Temperature, Salinity, Conductivity, pH) were examined by using Kjeldahl (1883) and Flame photometer, Portable Multiparameter Model Sension, TM 105 UK, following Nazim (2011). Environmental estimations were taken by GPS.…”