Length-weight relationships of 43 fish species from Haizhou Bay, central Yellow Sea

2013 ◽  
Vol 29 (5) ◽  
pp. 1183-1187 ◽  
Author(s):  
X. Wang ◽  
Y. Xue ◽  
Y. Ren
Keyword(s):  
2015 ◽  
Vol 72 (5) ◽  
pp. 1440-1448 ◽  
Author(s):  
Zhiqiang Han ◽  
Wei Zheng ◽  
Wenbin Zhu ◽  
Cungen Yu ◽  
Bonian Shui ◽  
...  

Abstract Three primary factors affecting genetic patterns of marine species in the Northwestern Pacific Ocean have been proposed: isolation and population expansion during Pleistocene glacial cycles, ocean currents facilitating the gene flow, and the Yangtze River outflow imposing a physical barrier to gene flow. Here, we examined these factors affecting population structuring of the Asian paddle crab, Charybdis japonica, in the Yellow Sea, East China Sea, and adjacent areas. Genetic variation in nine populations of C. japonica (n = 169) was determined from partial mitochondrial cytochrome c oxidase subunit I sequences. Among the 14 haplotypes identified, a dominant haplotype H1 was present in all populations, and a relatively abundant localized haplotype H2 was found in four of the northern populations. Furthermore, the frequency of the common haplotype H1 decreased from south to north. A genetic discontinuity was detected in Haizhou Bay, which divided species into two groups (north group and south group). The lack of genetic structure in the south and north groups indicates high dispersal of C. japonica within groups. Local marine gyres in Haizhou Bay might be responsible for the divergence of the north and south groups. Our study highlights the importance of local marine gyres for influencing genetic structure in marine coastal species in the Northwestern Pacific, especially in species spawning inshore.


2016 ◽  
Vol 106 (1-2) ◽  
pp. 383-387 ◽  
Author(s):  
Rui Zhang ◽  
Minglei Guan ◽  
Yujie Shu ◽  
Liya Shen ◽  
Xixi Chen ◽  
...  

2020 ◽  
Vol 71 (7) ◽  
pp. 729
Author(s):  
Yunlong Chen ◽  
Xiujuan Shan ◽  
Ning Wang ◽  
Xianshi Jin ◽  
Lisha Guan ◽  
...  

Vulnerability assessments provide a feasible yet infrequently used approach to expanding our understanding and evaluating the effects of climate change on fish assemblages. Here, we first used a fuzzy-logic expert system to quantitatively estimate the vulnerability and potential impact risks of climate change for fish species in the Bohai Sea and Yellow Sea (BSYS). The mean (±s.d.) vulnerability and the impact-risk indices for 25 dominant fish species were 51±22 and 62±12 respectively (with the highest possible value being 100 under the Representative Concentration Pathway 8.5 scenario). Miiuy croaker (Miichthys miiuy) was found to have the highest impact risk, whereas the glowbelly (Acropoma japonicum) had the lowest. Demersal fishes tended to be more vulnerable than pelagic fishes, whereas the opposite was found for impact risks. No significant correlation was found between species biomass and vulnerability (P>0.05). The assessment provided a comprehensive framework for evaluating climate effects in the BSYS and suggested that interspecific and habitat group differences should be considered when developing future climate-adaptive fishery policies and management measures in this region, as well as similar systems elsewhere in the world.


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