The Effects of Atmospheric Nitrogen Deposition on the Marine Ecosystem of the Northern South China Sea

生态系统 环境科学 浮游植物 营养物 浮游动物 海洋学 沉积(地质) 生态系统模型 焊剂(冶金) 人口 海洋生态系统 大气科学 生态学 地质学 生物 化学 古生物学 人口学 社会学 有机化学 沉积物
作者
Wei He,Zhigang Lai,Wenfang Lu,Dongdong Li,Changsheng Chen
出处
期刊:Journal Of Geophysical Research: Oceans [Wiley]
卷期号:128 (1) 被引量:1
标识
DOI:10.1029/2022jc018790
摘要

Abstract The rapid economic developments in countries surrounding the South China Sea have caused a significant increase in the atmospheric deposition of nitrogen (AD‐N) into the ocean. The impact of AD‐N on the regional ecosystem has not been quantitatively assessed, and its driving mechanism has not been explored, either. Here, we applied a one‐dimensional European Regional Seas Ecosystem Model to examine the responses of the ecosystem to AD‐N. The physical‐biological coupled model reproduced the seasonal and interannual variabilities of observed nutrients, chlorophyll a , phytoplankton community structure, and particulate organic carbon (POC) exports at the South East Asia Time‐series Station. Seasonally, the increase of POC flux by AD‐N was most significant in winter, with a ∼2‐month lag behind the associated surface response. It can exist in the following spring, as supported by the larger population size of zooplankton after the previous winter's feeding up. Notably, the ratio of POC export to primary production varied seasonally and interannually, which was controlled by the phytoplankton and zooplankton's size compositions. The surface nutrient input thus caused a significant seasonal change in the biological carbon pump efficiency. Interannually, the modulation of the POC flux by AD‐N was inversely phase‐locked with wind variations. The out‐of‐phase of the surface‐ and subsurface‐nutrient‐driven POC fluxes suggested a potentially more considerable contribution of AD‐N to the total carbon export during years under the weak subsurface influence. This study highlights the importance of AD‐N in the regional ecosystem, which needs a better representation in the present biogeochemical modeling framework.
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