Numerical Simulation for Shallow Strata Stability of Coral Reef in the Southwest of Yongshu Reef (South China Sea)

2018 ◽  
Vol 17 (4) ◽  
pp. 763-772 ◽  
Author(s):  
Qinqin Tang ◽  
Jinchang Zhang ◽  
Yingci Feng ◽  
Jian Li ◽  
Yantao Yao ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Coral Reef ◽  
South China Sea ◽  
South China ◽  
China Sea ◽  
Shallow Strata

scholarly journals Diversity and Characterization of Multicellular Magnetotactic Prokaryotes From Coral Reef Habitats of the Paracel Islands, South China Sea

2018 ◽  
Vol 9 ◽  
Author(s):  
Zhaojie Teng ◽  
Yuyang Zhang ◽  
Wenyan Zhang ◽  
Hongmiao Pan ◽  
Jianhong Xu ◽  
...  
Keyword(s):  
Coral Reef ◽  
South China Sea ◽  
South China ◽  
China Sea ◽  
Paracel Islands

scholarly journals Coral reef ecosystems in the South China Sea as a source of atmospheric CO2 in summer

2011 ◽  
Vol 56 (7) ◽  
pp. 676-684 ◽  
Author(s):  
HongQiang Yan ◽  
KeFu Yu ◽  
Qi Shi ◽  
YeHui Tan ◽  
HuiLing Zhang ◽  
...  
Keyword(s):  
Coral Reef ◽  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
Atmospheric Co2 ◽  
The South ◽  
China Sea ◽  
Coral Reef Ecosystems

Numerical simulation of the Kuroshio intrusion into the South China Sea by a passive tracer

2016 ◽  
Vol 35 (9) ◽  
pp. 1-12 ◽  
Author(s):  
Tongya Liu ◽  
Jiexin Xu ◽  
Yinghui He ◽  
Haibin Lü ◽  
Yuan Yao ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
Kuroshio Intrusion ◽  
Passive Tracer ◽  
The South ◽  
China Sea ◽  
The Kuroshio

scholarly journals Assessment of Coral Reef Fish Stocks From the Nansha Islands, South China Sea, Using Length-Based Bayesian Biomass Estimation

2021 ◽  
Vol 7 ◽  
Author(s):  
Kui Zhang ◽  
Jun Zhang ◽  
Dengfu Shi ◽  
Zuozhi Chen
Keyword(s):  
Coral Reef ◽  
South China Sea ◽  
Reef Fish ◽  
Fish Species ◽  
South China ◽  
Coral Reef Fish ◽  
Nansha Islands ◽  
Fish Stocks ◽  
China Sea ◽  
Reef Fish Species

The South China Sea (SCS) is one of the world’s main centers for coral reef diversity, with more than one-third of all reef fish species being found in this area. Some indications of overfishing have appeared in typical coral reefs of the SCS, as fish diversities have declined and the average body lengths of dominant fish species have decreased. However, only few assessments of coral reef fish stocks have been conducted, due to insufficient available data. In this study, we applied a newly developed length-based Bayesian biomass (LBB) estimation method to assess 10 dominant coral reef fish species from three main reefs (Yongshu Reef, Zhubi Reef, and Meiji Reef) of the Nansha Islands, SCS. Simulations indicated the estimated parameters were not sensitive to sample sizes (more than 100) using the LBB method. Our results showed that the relative biomass levels (B/BMSY) of Cephalopholis spiloparaea, Cephalopholis urodeta, Lutjanus gibbus, Gnathodentex aureolineatus, Pentapodus caninus, and Cheilinus fasciatus were between 0.16 and 0.45, suggesting an overfishing status; the relative biomass levels of Epinephelus merra, and Parupeneus crassilabris were 0.98 and 1.1, respectively, indicating that they were fully exploited; and the relative biomass levels of Lutjanus kasmira and Melichthys vidua were 1.3 and 2.5, respectively, indicating the populations were in good conditions. The estimates of Lc/Lc_opt were less than one for seven stocks, suggesting that the stocks were suffering from growth overfishing. Therefore, we emphasize the need to reduce fishing mortality and increase the mesh size of the coral reef fishery in the Nansha Islands, to achieve a sustainable yield and biomass.

Large scale distribution patterns of taxonomic diversity of fish in coral reef waters, South China Sea

2013 ◽  
Vol 18 (3) ◽  
pp. 619-628
Author(s):  
Yongzhen LI ◽  
Yunrong SHI ◽  
Hong AI ◽  
Lina DONG ◽  
Nana LI ◽  
...  
Keyword(s):  
Coral Reef ◽  
South China Sea ◽  
South China ◽  
Large Scale ◽  
Distribution Patterns ◽  
Taxonomic Diversity ◽  
China Sea
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