Preprints
https://doi.org/10.5194/bgd-11-7029-2014
https://doi.org/10.5194/bgd-11-7029-2014
16 May 2014
 | 16 May 2014
Status: this preprint was under review for the journal BG but the revision was not accepted.

Progressive eutrophication behind the world-largest super floating macroalgal blooms in the Yellow Sea

Q. Xing, M. Gao, X. Gao, L. Tosi, F. G. Schmitt, Y. Zhang, P. Shi, J. Wei, and Y. Luo

Abstract. World-largest super floating macroalgal blooms of Ulva prolifera have lasted 7 years by now in every summer in the Yellow Sea, the outer part of a semi-enclosed coastal sea. Evaluation of the inter-annual variability in the trophic status is one of fundamental tasks for prediction and management of the blooms. We show the new findings of a progressive eutrophication in the large Yellow Sea basin behind the super floating macroalgal blooms. The inter-annual variability in human-induced nutrient pollution from 2001 to 2012 was assessed by a nutrient pollution index weighted by area (AWCPI-NP), and a significant increase in the trophic status was found in the macroalgal bloom (MAB) phase (2007–2012): the average AWCPI-NP was higher than that in the pre-MAB phase (2001–2006) by about 45%; meanwhile, in the Jiangsu Shoal, origin place of the drifting macroaglae, the annual in-situ nutrient concentrations increased rapidly from 2000 to 2011. Chlorophyll a concentration (Chl a), an indicator of eutrophication, increased by about 15% in the bloom region from the pre-MAB to MAB phase. This progressive eutrophication might lead to the non-linear outburst in the growth of macroalgae, i.e., green tides, in the Yellow Sea since 2007.

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Q. Xing, M. Gao, X. Gao, L. Tosi, F. G. Schmitt, Y. Zhang, P. Shi, J. Wei, and Y. Luo
 
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Status: closed
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Q. Xing, M. Gao, X. Gao, L. Tosi, F. G. Schmitt, Y. Zhang, P. Shi, J. Wei, and Y. Luo
Q. Xing, M. Gao, X. Gao, L. Tosi, F. G. Schmitt, Y. Zhang, P. Shi, J. Wei, and Y. Luo

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