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The Lower Cheliff plain is among the largest salted soils in north-western Algeria. In order to establish the relationships between the main soil factors and plant species in this stressed ecosystem, 133 relevés related to soil and vegetation were realized. | Research Article Turk J Bot 34 (2010) 73-82 © TÜBİTAK doi:10.3906/bot-0903-21 Using vegetation units as salinity predictors in the Lower Cheliff Algeria Adda ABABOU1,*, Mohammed CHOUIEB2, Mohammed KHADER3, Khalladi MEDERBAL3, Djamel SAIDI4 1Department of Biology, Faculty of Biology and Agronomy, University Hassiba Ben Bouali, Chlef, ALGERIA 2Department of Agronomy, Faculty of Sciences and Engineering, University Abd El Hamid Ibn Badis, Mostaganem, ALGERIA 3Department of Biology, Faculty of Sciences and Earth Sciences, University Mustapha Stambouli, Mascara, ALGERIA 4Department of Agronomy, Faculty of Biology and Agronomy, University Hassiba Ben Bouali, Chlef, ALGERIA Received: 30.03.2009 Accepted: 05.02.2010 Abstract: The Lower Cheliff plain is among the largest salted soils in north-western Algeria. In order to establish the relationships between the main soil factors and plant species in this stressed ecosystem, 133 relevés related to soil and vegetation were realized. Soil variables measured included electrical conductivity and calcium carbonate. The 133 relevés were arranged in clusters using k-means classification. The similarity analysis used to examine the variation in vegetation assemblage structure showed significant differences in taxonomical composition among groups of relevés. The phi coefficient of fidelity used then to extract the different vegetation units and to measure species concentration in each vegetation unit enabled us to extract a synoptic table with 6 vegetation units, exclusively related to conductivity. The results of redundancy analysis were concordant with k-means clustering results and showed that conductivity is the main factor affecting the vegetation distribution in the Lower Cheliff plain whereas CaCO3 plays a secondary role. The approach used in this study enabled us to extract 4 ranges of salinity in the Lower Cheliff according to the optimum of salinity tolerated by each vegetation unit. Key words: Analysis of similarity, .
