scholarly journals The tug‐of‐war between the West Philippine Sea and South China Sea Tropical Waters and Intermediate Waters in the Okinawa Trough

2016 ◽  
Vol 121 (3) ◽  
pp. 1736-1754 ◽  
Author(s):  
Chen‐Tung Arthur Chen ◽  
Ya‐Ting Yeh ◽  
Tetsuo Yanagi ◽  
Yan Bai ◽  
Xianqiang He ◽  
...  
Keyword(s):  
South China Sea ◽  
South China ◽  
Okinawa Trough ◽  
The West ◽  
Tropical Waters ◽  
China Sea ◽  
Philippine Sea ◽  
The Okinawa Trough ◽  
West Philippine Sea ◽  
Intermediate Waters

Integrative taxonomy of enigmatic deep-sea true whelks in the sister-genera Enigmaticolus and Thermosipho (Gastropoda: Buccinidae)

2020 ◽  
Author(s):  
Chong Chen ◽  
Ting Xu ◽  
Koen Fraussen ◽  
Jian-Wen Qiu
Keyword(s):  
South China Sea ◽  
South China ◽  
Okinawa Trough ◽  
Morphological Variability ◽  
The South China Sea ◽  
Coi Gene ◽  
The South ◽  
China Sea ◽  
The Okinawa Trough ◽  
New Findings

Abstract Whelks in the sister-genera Enigmaticolus and Thermosipho (Gastropoda: Buccinidae) commonly inhabit deep-water hydrothermal vents and hydrocarbon seeps. Thermosipho desbruyeresi, originally described from the Lau Basin, was thought to occur in vents across the western Pacific, with Eosipho desbruyeresi nipponensis described from the Okinawa Trough treated as its junior synonym. However, new material collected from vents in the Okinawa Trough and seeps in the South China Sea exhibit key characteristics of Enigmaticolus. Re-examination of the types revealed that Eosipho d. nipponensis is actually morphologically distinct from Thermosipho desbruyeresi. A molecular phylogeny reconstructed using the cytochrome c oxidase subunit I (COI) gene confirmed the placement of both taxa in Enigmaticolus and supported their distinctiveness at the species level. We, therefore, rehabilitate E. d. nipponensis as Enigmaticolus nipponensis comb. nov. and transfer T. desbruyeresi to the same genus, as Enigmaticolus desbruyeresi comb. nov. Our results also revealed that Enigmaticolus monnieri described from east Africa and E. inflatus described from the South China Sea are in fact conspecific with E. nipponensis. We discuss the distribution and biogeography, as well as morphological variability, of Enigmaticolus in the light of these new findings. Thermosipho is then left with only its type species, T. auzendei from the East Pacific vents. We have revised the diagnosis for the two genera, as well as the species included in them.

A new species and new record of deep-sea scale-worms (Polynoidae: Polychaeta) from the Okinawa Trough and the South China Sea

Zootaxa ◽  
2017 ◽  
Vol 4238 (4) ◽  
pp. 562 ◽  
Author(s):  
JIXING SUI ◽  
XINZHENG LI
Keyword(s):  
New Species ◽  
South China Sea ◽  
South China ◽  
New Record ◽  
Okinawa Trough ◽  
Northern South China Sea ◽  
Cold Seep ◽  
China Sea ◽  
The Okinawa Trough ◽  
A New Species

A new species of scale-worm, Lepidonotopodium okinawae sp. nov. from the Okinawa Trough is described. The new species differs from the other species of Lepidonotopodium by having 24 segments and numerous foveolae on the surface of elytra with one globular micropapilla in every foveola. A new record of the mussel commensal Branchipolynoe pettiboneae Miura & Hashimoto, 1991 is reported and described from the northern South China Sea, where for the first time the scale-worm is noted as occurring at a cold-seep. Keys to distinguish the species of Branchipolynoe and Lepidonotopodium are provided. 

scholarly journals Application of DINCAE to Reconstruct the Gaps in Chlorophyll-a Satellite Observations in the South China Sea and West Philippine Sea

2020 ◽  
Vol 12 (3) ◽  
pp. 480
Author(s):  
Zhaohui Han ◽  
Yijun He ◽  
Guoqiang Liu ◽  
William Perrie
Keyword(s):  
South China Sea ◽  
Chlorophyll A ◽  
South China ◽  
Cross Validation ◽  
Chl A ◽  
China Sea ◽  
Philippine Sea ◽  
West Philippine Sea ◽  
Reconstructed Data

The Data Interpolating Empirical Orthogonal Functions (DINEOF) method has demonstrated usability and accuracy for filling spatial gaps in remote sensing datasets. In this study, we conducted the reconstruction of the chlorophyll-a concentration (Chl-a) data using a convolutional neural networks model called Data-Interpolating Convolutional Auto-Encoder (DINCAE), and we compared its performance with that of DINEOF. Furthermore, the cloud-free sea surface temperature (SST) was used as a phytoplankton dynamics predictor for the Chl-a reconstruction. Finally, four reconstruction schemes were implemented: DINCAE (Chl-a only), DINCAE (Chl-a and SST), DINEOF (Chl-a only), and DINEOF (Chl-a and SST), denoted rec1, rec2, rec3, and rec4 respectively. To quantitatively evaluate the accuracy of these reconstruction schemes, both the cross-validation and in situ data were used. The study domain was chosen to be the Northern South China Sea (SCS) and West Philippine Sea (WPS), bounded by 115–125°E and 16–24°N to test the model performance for the reconstruction of Chl-a under different Chl-a controlling mechanisms. The in situ validation showed that rec1 performs best among the four reconstruction schemes, and that adding SST into the Chl-a reconstruction cannot improve the reconstruction results. However, for cross validation, adding SST can slightly improve spatial distributions of the root mean square error (RMSE) between the reconstructed data and the original data, especially over the SCS continental shelf. Furthermore, the potential of DINCAE prediction is confirmed in this paper; thus, the trained DINCAE model can be re-applied to reconstruct other missing data, and more importantly, it can also be re-trained using the reconstructed data, thereby further improving reconstruction results. Another consideration is efficiency; with similar reconstruction conditions, DINCAE is 5–10 times faster than DINEOF.

Sign in / Sign up

Export Citation Format

Share Document