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[期刊论文]

Physical modulation to the biological productivity in the summer Vietnam upwelling system

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author:

Lu, W. (Lu, W..) [1] | Oey, L.-Y. (Oey, L.-Y..) [2] | Liao, E. (Liao, E..) [3] | Unfold

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Scopus

Abstract:

Biological productivity in the summer Vietnam boundary upwelling system in the western South China Sea, as in many coastal upwelling systems, is strongly modulated by wind. However, the role of ocean circulation and mesoscale eddies has not been elucidated. Here, we show a close spatiotemporal covariability between primary production and kinetic energy. High productivity is associated with high kinetic energy, which accounts for 15% of the production variability. Results from a physical-biological coupled model reveal that the elevated kinetic energy is linked to the strength of the current separation from the coast. In the low production scenario, the circulation is not only weaker but also shows weak separation. In the higher production case, the separated current forms an eastward jet into the interior South China Sea, and the associated southern recirculation traps nutrients and favors productivity. When separation is absent, the model shows weakened circulation and eddy activity, with 21% less nitrate inventory and 16% weaker primary productivity. © 2018 Author(s).

Community:

  • [ 1 ] [Lu, W.]Key Laboratory of Spatial Data Mining and Information Sharing, Fuzhou University, Fuzhou, China
  • [ 2 ] [Lu, W.]State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
  • [ 3 ] [Lu, W.]Center for Remote Sensing, College of Earth, Ocean and Environment, Newark, DE, United States
  • [ 4 ] [Lu, W.]Joint Institute for Coastal Research and Management, University of Delaware, Xiamen University, Xiamen, China
  • [ 5 ] [Oey, L.-Y.]Graduate Institute of Hydrological and Oceanic Sciences, National Central University, Jhongli City Taoyuan, Taiwan
  • [ 6 ] [Oey, L.-Y.]Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, NJ, United States
  • [ 7 ] [Liao, E.]Geosciences Department, Princeton University, Princeton, NJ, United States
  • [ 8 ] [Zhuang, W.]State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
  • [ 9 ] [Zhuang, W.]Joint Institute for Coastal Research and Management, University of Delaware, Xiamen University, Xiamen, China
  • [ 10 ] [Yan, X.-H.]Center for Remote Sensing, College of Earth, Ocean and Environment, Newark, DE, United States
  • [ 11 ] [Yan, X.-H.]Joint Institute for Coastal Research and Management, University of Delaware, Xiamen University, Xiamen, China
  • [ 12 ] [Jiang, Y.]State Key Laboratory of Marine Environmental Science, College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
  • [ 13 ] [Jiang, Y.]Joint Institute for Coastal Research and Management, University of Delaware, Xiamen University, Xiamen, China

Reprint 's Address:

  • [Lu, W.]Key Laboratory of Spatial Data Mining and Information Sharing, Fuzhou UniversityChina

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Source :

Ocean Science

ISSN: 1812-0784

Year: 2018

Issue: 5

Volume: 14

Page: 1303-1320

2 . 5 3 9

JCR@2018

4 . 1 0 0

JCR@2023

ESI HC Threshold:153

JCR Journal Grade:2

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 32

30 Days PV: 0

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