Vertical development of a Prorocentrum donghaiense bloom in the coastal waters of the East China Sea: coupled biophysical numerical modeling

作     者：SUN Ke QIU Zhongfeng HE Yijun FAN Wei WEI Zexun 

作者机构：The First Institute of OceanographyState Oceanic Administration Laboratory for Regional Oceanography and Numerical Modeling Qingdao National Laboratory for Marine Science and Technology School of Marine Sciences Nanjing University of Information Science and Technology Ocean College Zhejiang University 

出 版 物：《Acta Oceanologica Sinica》 (海洋学报（英文版）)

年 卷 期：2017年第36卷第6期

页      面：23-33页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 0908[农学-水产] 0707[理学-海洋科学] 0713[理学-生态学] 

基　　金：The National Natural Science Foundation of China(NSFC)under contract Nos 41276186,41506015 and 41606038 the NSFC-Shandong Joint Fund for Marine Science Research Centers under contract No.U1606405 the Postdoctoral Innovation Foundation of Shandong Province under contract No.201502031 

主　　题：Prorocentrum donghaiense algal blooms biophysical model subsurface incubation East China Sea 

摘      要：Algal blooms caused by Prorocentrum donghaiense occurred frequently in the East China Sea （ECS） during spring in recent years. In this study, a coupled biophysical model was used to hindcast a massive P. donghaiense bloom that occurred in 2005 and to determine the factors influencing bloom initiation and development. The model comprised the Regional Ocean Modeling System tailored for the ECS that utilized a multi-nested configuration and a population dynamics model for 19. donghaiense. Comparisons between simulations and observations revealed that the biological model is capable of reproducing the characteristics of 19. donghaiense growth under different irradiances and phosphorus limitation scenarios. The variation of intracellular phosphorus and the effects of 19. donghaiense on ambient nutrients conditions were also reproduced. The biophysical model hindcasted the hydrodynamics and spatiotemporal distributions of the P. donghaiense bloom reasonably well. Bloom development was consistent with observations reported in earlier studies. The results demonstrate the capability of the model in capturing subsurface incubation during bloom initiation. Then model＇s hindcast solutions were further used to diagnose the factors controlling the vertical distribution. Phosphate appeared to be one of the factors controlling the subsurface incubation, whereas surface wind fields played an important role in determining P. donghaiense distribution. The results highlight the importance of nutrient-limitation as a mechanism in the formation of P. donghaiense subsurface layers and the dispersing of P. donghaiense blooms. This coupled biophysical model should be improved and used to investigate 19. donghaiense blooms occurring in different scenarios.