Numerical simulation of pelagic ecosystem's seasonal variation in the central East China Sea

doi:10.3969/j.issn.1000-5641.2019.06.015

Abstract

Abstract: The 1D physics-ecological system model GOTM-FABM-ERSEM is used to simulate the seasonal variation in pelagic ecosystem components in the central East China Sea. The interaction between physical and bio-chemical components is well characterized. The biophysical drivers of seasonality are light, temperature, vertical stratification, and nutrient concentrations as well as their respective rates of supply. There are two blooming periods for phytoplankton:these are April and October. In summer, the seawater temperature is the highest and stratification is the strongest, with high nutrient concentrations found below the thermocline; these concentrations reach a maximum in September with phytoplankton biomass reaching a maximum of 5.3 mg C·m^-3 in the subsurface layer (about 20 m depth) and periodic growth promoted by tidal mixing. The temporal variability of zooplankton and bacteria is tightly coupled with that of phytoplankton, but with a 3 d lag in spring blooming; hence, the zooplankton and bacteria reach maximum concentrations after the spring phytoplankton bloom. Bacterial biomass in the upper layer is controlled by phytoplankton standing stock and temperatures during the summer.

Key words: East China Sea, marine modelling, pelagic ecosystems, seasonal variability

CLC Number:

Q735

CHEN Jian-zhong, GE Jian-zhong, BELLERBY Richard. Numerical simulation of pelagic ecosystem's seasonal variation in the central East China Sea[J]. Journal of East China Normal University(Natural Sc, 2019, 2019(6): 153-168.

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