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    CHENG Qiu-ming, 2011. Singularity Modeling of Geo-Anomalies and Recognition of Anomalies Caused by Buried Sources. Earth Science, 36(2): 307-316. doi: 10.3799/dqkx.2011.032
    Citation: Yang Yi, Hao Yuxin, Ruan Xiaoyan, Li Xuejie, Yao Yongjian, Yang Chupeng, 2018. Spatial Distribution of Fatty Acids and Inferred Organisms in Surface Sediments of Different Water Depths in the South China Sea. Earth Science, 43(11): 4027-4035. doi: 10.3799/dqkx.2018.284

    Spatial Distribution of Fatty Acids and Inferred Organisms in Surface Sediments of Different Water Depths in the South China Sea

    doi: 10.3799/dqkx.2018.284
    • Received Date: 2018-03-17
    • Publish Date: 2018-11-15
    • To investigate the spatial distribution of lipid biomarkers from offshore to deep basin in the marginal sea, fatty acids (FAs) in surface sediments collected from different water depths across four different transects were studied. Abundant FAs, including saturated and unsaturated normal FAs, as well as saturated iso- and anteiso-FAs, were detected. The FAs are dominated by short-chain saturated FAs, showing a mono-model distribution. The long-chain FAs, showing an even-over-odd distribution, are mainly derived from terrestrial higher plants, and short-chain normal FAs are derived from marine phytoplankton, while saturated iso- and anteiso-FAs are mainly contributed by marine bacteria. The long-chain FAs derived from the higher plants show the higher concentration in the coastal area which is contributed by the fluvial input, as well as in the deep basin which may be resulted from the ocean current, and likely, the aeolian dust input. Branched short-chain FAs indicate that the bacteria have great contribution in the coastal area but not in the deep basin. Short-chain normal FAs indicate that the phytoplankton relative abundance is great in northeast South China Sea and the deep basin. The higher contribution of both bacteria and phytoplankton in the coastal area is possibly related to higher nutrient input, while the higher phytoplankton distribution in the deep basin may be influenced by the ocean current or other input.

       

    • 致谢: 本研究受国家重点研发计划项目(2016YFA0601100)和自然资源部广州海洋地质调查局项目(GZH201500202)资助,两位审稿人提出了宝贵的修改意见,在此一并致以诚挚的感谢!
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