Variability in phytoplankton biomass and effects of sea surface temperature based on satellite data from the Yellow Sea, China

PloS One
Chunli LiuXiang Xing

Abstract

A time series of satellite data on Chlorophyll-a concentration (Chl-a) that used ocean color was studied to determine mechanisms of phytoplankton variation in recent decade in the Yellow Sea, China during 2003-2015. The variability patterns on seasonal and inter-annual oscillation periods were confirmed using the Empirical Orthogonal Function (EOF), and Morlet wavelet transform analyses, respectively. The first EOF mode for Chl-a was dominated by obvious spring and fall blooms in a spatial pattern that was related to the strong mixing of the water masses from the Yellow Sea Cold Warm Mass (YSCWM) and the Yellow Sea Warm Current (YSWC) in winter. The second EOF mode for Chl-a showed an opposite spatial pattern between the northern and southern regions. The temporal coefficient showed differences in the timing of blooms. On an inter-annual scale, Chl-a indicated variation at periods of 2-4 years during 2003-2015. Chl-a showed a significantly negative correlation with the sea surface temperature (r = -0.21, p<0.01), with time lags of 4 months (Chl-a ahead). Chl-a was coupled with El Niño Southern Oscillation (ENSO) events, with a positive correlation (r = 0.46, p<0.01) at a lag of 3-5 months (ENSO ahead). The present study demonst...Continue Reading

References

Dec 8, 2006·Nature·Scott C Doney
Dec 8, 2006·Nature·Michael J BehrenfeldEmmanuel S Boss
Jul 31, 2010·Nature·Daniel G BoyceBoris Worm
Jul 19, 2015·Marine Pollution Bulletin·Masoud Moradi, Keivan Kabiri
Mar 12, 2016·Marine Pollution Bulletin·Man XuXiaoshou Liu

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