Predictive Model for Biochemical Component of Phytoplankton in the River and Estuarine Systems of the Mae Klong River, Thailand

Abstract

As one of the four major rivers of Thailand, the Mae Klong River flows in the west of the Kingdom and exits into the Gulf of Thailand. This research study was conducted during February 2006 through May 2008 and found the increased levels of NH₄⁺, NO₂^-+NO₃^-, and PO₄^3- in the lower river and estuary areas of the Mae Klong River, which led to the phytoplankton blooming phenomenon in such areas. Three phyta and 63 genera of phytoplanktons were discovered in the river. The dominant groups were diatoms (Plurosigma or Gyrosigma), cyanobacteria (Trichodesmium), and dinoflagellates (Peridinium and Gonyaulax). In this study, generalized linear modeling (GLM) was applied to examine the factors influencing phytoplankton abundance in the river systems. The results showed that phytoplankton abundance varied according to the dissolved inorganic nutrient (DIN), zone, and season. Thus, the predictive model should be established to facilitate determination of phytoplankton abundance, assessment of water quality, and thereby more efficient management of water resources for sustainable use.