This study investigated the soil variables influencing plant species in a mangrove ecosystem of Lower Imo River Estuary, Niger Delta, Nigeria. A twenty (20) 10m×10m quadrat spaced at 25 m intervals along established transect was used in sampling the vegetation and soils. The quantified vegetation parameters were density, frequency, height, basal area and crown cover. Soil samples were obtained at two rooting depths (0-15cm and 15-30cm) and variables determined were pH, electrical conductivity, exchange acidity, total nitrogen, organic carbon, available phosphorus, cations (Ca, Mg, Na and K), ECEC, base saturation and particle sizes (sand, silt and clay). An aggregate of 11 species belonging to 9 families were found. The dominant species was Rhizophora mangle with density of 120.41±29.30 stems/ha. Rhizophora mangle and Nypa fruticans were the most frequent species (100 %). Rhizophora mangle was the tallest (11.50±1.52 m) as well as the species with the widest crown cover (10.68±1.06m2/ha) while Elaeis guineensis had the largest basal area (1.79±0.09 m2/ha). Canonical Correspondence Analysis (CCA) showed that the abundance and distribution of plant species were swayed by the interplay of various soil factors in the mangrove. This delineated the first tier (Na, pH, Mg, K, base saturation, sand, silt, clay and ECEC) and the second tier (Ca, exchangeable acidity, total nitrogen, electrical conductivity and organic carbon) soil variables controlling plants' distributional patterns. Rhizophora mangle and Acrostichum aureum were influenced by Na while Nypa fruticans and Avicennia africana were influenced by K and pH, respectively. On the other hand, Fimbristylis ferruginea, Uapaca staudtii and Paspalum vaginatum were influenced by Mg, sand and clay correspondingly while M. ciliata, C. nucifera, E. guineensis and Dracaena arborea showed affinities to base saturation and ECEC. Hence, this study lends credence to species adaptation and diversity, habitat quality as well as providing baseline information on conservation and future management of this ecosystem.