The The use of statistical model for zooplankton density in sea grass area of Pulau Tinggi, Malaysia

Abstract

Zooplankton density model was developed using multiple linear regression. The Sea grass bed in Pulau Tinggi, Malaysia was selected as sampling site. Sampling of water was carried out for six months. The statistical model was developed for physico-chemical parameters as well as environmental parameters with the density of zooplankton. Ten stations were fixed for water sampling. The results of statistical analysis showed that large sized density model (> 2100 µm) was the best model due to its lower MSE value for physico-chemical parameters among three size fractions. The student’s t-test concluded that there was no significant difference (p > 0.05) between mean density of zooplankton in dry and wet season. The mean zooplankton density was almost the same in dry and wet season in the present research period