scholarly journals Macroalgal Community Structure on the Rocky Shores of Ongdo, Jusamdo, and Woejodo Islands of the Yellow Sea, Korea

2011 ◽  
Vol 14 (4) ◽  
pp. 389-397 ◽  
Author(s):  
Jin-Suk Heo ◽  
Seo-Kyoung Park ◽  
Hyun-Il Yoo ◽  
Ji-Na Song ◽  
Bo-Yeon Kim ◽  
...  
Keyword(s):  
Community Structure ◽  
Yellow Sea ◽  
The Yellow Sea ◽  
Rocky Shores ◽  
Macroalgal Community

scholarly journals Zooplankton community structure in the Yellow Sea and East China Sea in autumn

2015 ◽  
Vol 63 (4) ◽  
pp. 455-468 ◽  
Author(s):  
Hongju Chen ◽  
Guangxing Liu
Keyword(s):  
Community Structure ◽  
Species Composition ◽  
East China Sea ◽  
Yellow Sea ◽  
Zooplankton Community ◽  
The Yellow Sea ◽  
East China ◽  
Taxonomic Distinctness ◽  
Zooplankton Community Structure ◽  
China Sea

Abstract Study on zooplankton spatial distribution is essential for understanding food web dynamics in marine ecosystems and fishery management. Here we elucidated the composition and distribution of large mesozooplankton on the continental shelf of the Yellow Sea and East China Sea, and explored the zooplankton community structure in these water masses. Sixty vertical hauls (bottom or 200 m in deep water to surface) using a ring net (diameter 0.8 m, 505-μm mesh) were exploited in November 2007. The biogeographic patterns of zooplankton communities were investigated using multivariate analysis methods; copepod biodiversity was analyzed using univariate indices. Copepods and protozoans were dominate in the communities. Based on the species composition, we divided the study areas into six station groups. Significant differences in zooplankton assemblages were detected between the Yellow Sea and East China Sea. Species richness was higher in East China Sea groups than those in Yellow Sea, whereas taxonomic distinctness was higher in Yellow Sea than in East China Sea. There was a clear relationship between the species composition and water mass group.

scholarly journals Distribution of crabs along a habitat gradient on the Yellow Sea coast after Spartina alterniflora invasion

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6775 ◽  
Author(s):  
Pan Chen ◽  
Yan Zhang ◽  
Xiaojing Zhu ◽  
Changhu Lu
Keyword(s):  
Community Structure ◽  
Spartina Alterniflora ◽  
Yellow Sea ◽  
The Yellow Sea ◽  
Total Biomass ◽  
Crab Species ◽  
Habitat Types ◽  
Habitat Gradient ◽  
Marsh Type ◽  
Sea Coast

The effects of Spartina alterniflora invasion on macrobenthos have long been of concern; however, there is currently no unified conclusion regarding these effects. Most studies on crabs focus on one species or limited habitat types, and assessments of the community-level effects of S. alterniflora invasion considering multiple species and habitat types have rarely been conducted. In this study, we sampled crabs along a habitat gradient from the shoreline to inland areas on the Yellow Sea coast, including the mudflat, S. alterniflora marsh, Suaeda salsa marsh and Phragmites australis marsh. A total of 10 crab species were found among all habitats, with five species in the mudflat, six species in S. alterniflora marsh, seven species in S. salsa marsh and four species in P. australis marsh. The Shannon index values for the crab communities were similar between S. alterniflora marsh and S. salsa marsh, and these values were significantly higher than those for the mudflat and P. australis marsh. However, the total biomass of crabs was highest in the mudflat, and Metaplax longipes, Philyra pisum and Macrophthalmus dilatatus exclusively preferred the mudflat. The analysis of principal components and similarities showed that the crab community structure in S. alterniflora marsh was most similar to that in S. salsa marsh, while the crab community structure in the mudflat was most different from that in the other habitat types. Our results demonstrate that the distribution of crabs varies across a habitat gradient after S. alterniflora invasion and that the crab community in S. alterniflora marsh is slightly different from that associated with the local vegetation but shows a large difference from that in the mudflat. This study indicates that some crab species may have adapted to habitat containing alien S. alterniflora, while other crab species reject this new marsh type. The effects of the distribution of crabs after S. alterniflora invasion on the regional ecosystem need further study in the future.

Variations in the community structure of biofilm-dwelling protozoa at different depths in coastal waters of the Yellow Sea, northern China

2017 ◽  
Vol 99 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Mamun Abdullah Al ◽  
Yangyang Gao ◽  
Guangjian Xu ◽  
Zheng Wang ◽  
Henglong Xu ◽  
...  
Keyword(s):  
Species Richness ◽  
Community Structure ◽  
Coastal Waters ◽  
Yellow Sea ◽  
Northern China ◽  
Marine Ecosystems ◽  
Artificial Substrates ◽  
The Yellow Sea ◽  
Individual Species ◽  
Protozoan Community

Biofilm-dwelling protozoa are a primary component of microbiota and play important roles in the functioning of microbial food webs such as the mediation of carbon and energy flux from plankton to benthos in marine ecosystems. To demonstrate the vertical pattern of the protozoan communities, a 1-month baseline survey was carried out in coastal waters of the Yellow Sea, northern China. A total of 40 samples were collected using glass slides as artificial substrates at four depths: 1, 2, 3.5 and 5 m. A total of 50 species were identified, comprising seven dominant and eight commonly distributed species. Species richness and individual species abundances showed a clear decreasing trend down the water column from 1 to 5 m, although the former peaked at a depth of 2 m. Multivariate approaches revealed that protozoan community structure differed significantly among the four depths, except for those at 2 and 3.5 m. Maximum values of species richness, diversity and evenness generally decreased with depth although they peaked at either 2 or 3.5 m. These results suggest that water depth may significantly shape the community patterns of biofilm-dwelling protozoa in marine ecosystems.

Sign in / Sign up

Export Citation Format

Share Document