Multivariate Statistical Assessment Of Trace Metals Of Forest Soils Of Itu Local Government Area, Akwa Ibom State, Nigeria

Research Article
Anthony Okon Etim
DOI: 
http://dx.doi.org/10.24327/ijrsr.2018.0906.2299
Subject: 
science
KeyWords: 
PCA-Principal Component Analysis; Cluster Analysis; Forest Soil; Trace Metal; Correlation Coefficient matrix.
Abstract: 

The study evaluated six trace metals concentration and pollution of the forest soil of Itu Local Area of Akwa Ibom State, Nigeria. Multivariate statistical approaches were used to determine the anthropogenic and natural sources of the trace metal concentration in the forest soil sample area.Results obtained indicated three main components with Eigen value greater than one and significant total variance of 77.8%.The first factor explained total variance of 35.66 % with positive loading for Iron, Lead and Cadmium. This therefore showed that cadmium, lead and Iron are associated with and controlled by anthropogenic activities. The second factor however explained total variance of 23.30% with positive loading for Zinc. Therefore, zinc in the forest soil may be associated with the forest soil physical and geological formation. Hence there is need to check and control anthropogenic activities associated with human activities within the buffer zone of the forest area of Itu Local Government area to prevent bioaccumulation of Iron, Lead and Cadmium in the forest soil. Buffer zonein most forest reserved area in the state sometimes are being abused by the rural farmers that live and cultivate around the area. The application of pesticides and fertilizers as well as fossil fuel used within the buffer zone contributed significantly to the trace metal load in the forestsoil. Hence agricultural activities within forest are buffer zone should be prevented so as to prevent anthropogenic introduction of trace metal load in the forest soil area.