Retrospective monitoring of salinity in coastal waters with mussel shells
Retrospective monitoring of salinity in coastal waters with mussel shells
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DOI:
10.1016/j.scitotenv.2019.03.405
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发表时间:
2019-06-25
影响因子:
9.8
通讯作者:
Tanaka, Kiyoshi
中科院分区:
文献类型:
--
作者:
Zhao, Liqiang;Shirai, Kotaro;Tanaka, Kiyoshi
Sea surface salinity (SSS) is a key parameter to understand and predict many physical, chemical and biological processes in dynamic coastal environments. Yet, in many regions, instrumental measurements are spatially sparse and insufficiently long, hindering our ability to document changes, causes, and consequences of SSS across different time scales. Therefore, there is an need to develop a robust proxy to extend SSS records back in time. Here, we test whether SSS can be reconstructed reliably and quantitatively from shell oxygen isotopic ratios (delta O-18(shell)) of the mussel Mytilus galloprovincialis (Lamarck, 1819) in Otsuchi Bay, Northern Japan. delta O-18(shell) ratios vary spatially and temporally and exhibit strong linear correlations with both sea surface temperature (SST) and SSS measurements, indicating that the composite signal recorded by delta O-18(shell) measurably responds to variations in both parameters. By combining contemporaneous variations of SST and delta O-18(shell), SSS records encoded into mussel shells are deconvolved that significantly correlate with in situ SSS values. To further validate the robustness of delta O-18(shell) as a quantitative SSS proxy, high-resolution and temporally aligned time-series of delta O-18(shell)-derived SSS are reconstructed that are highly synchronous with the instrumental records. In particular, two lowered SSS scenarios occur concomitantly with periods of the summer monsoon and typhoon events. delta O-18(shell)-derived SSS time-series are also comparable to those from numerical modeling. In conclusion, our findings demonstrate that mussel delta O-18(shell) signatures can be used as a useful tool to construct high-resolution records of SSS in the coastal regions. (C) 2019 Elsevier B.V. All rights reserved.