Planktonic ciliate trait structure variation over Yap, Mariana, and Caroline seamounts in the tropical western Pacific Ocean
文献类型:期刊论文
作者 | Wang, Chaofeng1,2,3![]() ![]() |
刊名 | JOURNAL OF OCEANOLOGY AND LIMNOLOGY
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出版日期 | 2021-07-28 |
页码 | 13 |
关键词 | planktonic ciliate upwelling seamount vertical distribution western Pacific Ocean |
ISSN号 | 2096-5508 |
DOI | 10.1007/s00343-021-0476-4 |
通讯作者 | Zhao, Yuan(yuanzhao@qdio.ac.cn) ; Zhang, Wuchang(wuchangzhang@qdio.ac.cn) |
英文摘要 | Trait structure is increasingly used in plankton ecology to understand diversity and biogeography. However, our knowledge of microzooplankton (e.g. planktonic ciliates) trait structure and its variation with hydrography is limited. In this study, we analyzed planktonic ciliate trait structure in waters with different hydrography and deep Chlorophyll a maximum (DCM) layers over three seamounts: Yap, Mariana, and Caroline seamounts. Mariana seamount had a lower surface temperature than the Yap and Caroline seamounts. DCM layers over Mariana and Caroline seamounts were deeper than Yap seamount. There was a weak upwelling in upper 50 m around top of Mariana seamount. The ciliate distribution showed bimodal pattern (high abundance appeared in the surface and DCM layers) over three seamounts. At surface layer, the large size-fraction (>30 mu m) abundance proportion to aloricate ciliate over Yap seamount (44.4%) was higher than Mariana (32.8%) and Caroline (36.1%) seamounts. For tintinnid abundance proportion to total ciliate, Mariana (12.0%) and Caroline (11.5%) seamounts at about 100-m depth were higher than that of Yap seamount (6.4%). Vertically, tintinnid could be divided into 4 groups over the three seamounts. At 30-m depth, group I (species occurring from surface to 100 m only) was dominant component over Yap and Caroline seamounts, while group IV (species occurring at every depth) changed into dominant component over Mariana seamount, the weak upwelling might be the reason. Salpingella faurei was the top dominant species, which corresponded to deeper DCM layers over Mariana and Caroline seamounts. Our results showed that the upwelling and the deeper DCM could influence the planktonic ciliate trait structure. |
资助项目 | Science & Technology Basic Resources Investigation Program of China[2017FY100803] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB42000000] ; China Postdoctoral Science Foundation[2020M672149] ; National Key Research and Development Program of China[2017YFA0603204] ; CNRS-NSFC Joint Research Projects Program[NSFC 41711530149] ; 2017-2019 Sino-French Cai Yuanpei Program ; International Cooperation Project-Dynamics and Function of Marine Microorganisms: Insight from Physics and Remote Sensing[ICP-DYF2M] |
WOS研究方向 | Marine & Freshwater Biology ; Oceanography |
语种 | 英语 |
WOS记录号 | WOS:000678432300006 |
出版者 | SCIENCE PRESS |
源URL | [http://ir.qdio.ac.cn/handle/337002/175925] ![]() |
专题 | 中国科学院海洋研究所 |
通讯作者 | Zhao, Yuan; Zhang, Wuchang |
作者单位 | 1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao 266237, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China 4.Toulon Univ, Aix Marseille Univ, CNRS, IRD,Mediterranean Inst Oceanol UM110, F-13288 Marseille, France |
推荐引用方式 GB/T 7714 | Wang, Chaofeng,Li, Haibo,Dong, Yi,et al. Planktonic ciliate trait structure variation over Yap, Mariana, and Caroline seamounts in the tropical western Pacific Ocean[J]. JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2021:13. |
APA | Wang, Chaofeng.,Li, Haibo.,Dong, Yi.,Zhao, Li.,Gregori, Gerald.,...&Xiao, Tian.(2021).Planktonic ciliate trait structure variation over Yap, Mariana, and Caroline seamounts in the tropical western Pacific Ocean.JOURNAL OF OCEANOLOGY AND LIMNOLOGY,13. |
MLA | Wang, Chaofeng,et al."Planktonic ciliate trait structure variation over Yap, Mariana, and Caroline seamounts in the tropical western Pacific Ocean".JOURNAL OF OCEANOLOGY AND LIMNOLOGY (2021):13. |
入库方式: OAI收割
来源:海洋研究所
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