Environmental factors and seasonal dynamics of Prorocentrum populations in Nanji Islands National Nature Reserve, East China Sea

Harmful Algae ◽  
2011 ◽  
Vol 10 (5) ◽  
pp. 426-432 ◽  
Author(s):  
Yang Li ◽  
Songhui Lü ◽  
Tianjiu Jiang ◽  
Yunpu Xiao ◽  
Shengpao You
Keyword(s):  
Environmental Factors ◽  
East China Sea ◽  
Seasonal Dynamics ◽  
Nature Reserve ◽  
East China ◽  
China Sea ◽  
National Nature Reserve ◽  
Nanji Islands

Seasonal dynamics of Alexandrium tamarense and occurrence of paralytic shellfish poisoning toxins in bivalves in Nanji Islands, East China Sea

2014 ◽  
Vol 65 (4) ◽  
pp. 350 ◽  
Author(s):  
Tao Jiang ◽  
Yixiao Xu ◽  
Yang Li ◽  
Tianjiu Jiang ◽  
Feng Wu ◽  
...  
Keyword(s):  
East China Sea ◽  
Seasonal Dynamics ◽  
Monitoring Program ◽  
Paralytic Shellfish Poisoning ◽  
East China ◽  
Salinity Range ◽  
Shellfish Poisoning ◽  
China Sea ◽  
Paralytic Shellfish ◽  
Nanji Islands

A monitoring program for seasonal dynamics of A. tamarense and paralytic shellfish poisoning toxins (PSTs) in bivalves was carried out from April 2006 to March 2007 in Nanji Islands, East China Sea. Low abundances of A. tamarense (fewer than 4.0 × 102 cells L–1) were first observed on 15 April 2006. During middle May, blooms of A. tamarense were documented, with the mean density of 3.8 × 103 cells L–1 and 0.75 × 103 cells L–1, corresponding to surface and bottom water columns, respectively. Environmental conditions of temperature range 18–20°C and salinity range 29.5–31 coincided with a high abundance of A. tamarense in the region, and the bloom collapse was likely to be a response to P limitation. Toxin concentrations in cultured Patinopecten yessoensis, Mytilus galloprovincialis and wild Mytilus coruscus during A. tamarense blooms ranged from 68.9 to 96.3 μg STXeq per 100 g flesh. Toxin profiles were similar among bivalve shellfish samples, dominated by C1 and C2 in 51.4–64.6 mol% of toxins, with an average of 60.6 mol%, followed by GTX5, GTX1–GTX4, dcGTX2 and dcGTX3. However, from January to March 2007, lower toxin concentrations, 18.9–40.8 μg STXeq per 100 g were found only in the wild Oyster sp., comprising GTX4, GTX5 and GTX1.

scholarly journals Summer and winter living coccolithophores in the Yellow Sea and the East China Sea

2014 ◽  
Vol 11 (3) ◽  
pp. 779-806 ◽  
Author(s):  
J. Sun ◽  
X. Y. Gu ◽  
Y. Y. Feng ◽  
S. F. Jin ◽  
W. S. Jiang ◽  
...  
Keyword(s):  
Surface Layer ◽  
Environmental Factors ◽  
East China Sea ◽  
Correspondence Analysis ◽  
Yellow Sea ◽  
The Yellow Sea ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Living Coccolithophores

Abstract. This paper describes the distribution of living coccolithophores (LCs) in the Yellow Sea and the East China Sea in summer and winter, and its relationship with environmental factors by canonical correspondence analysis (CCA). We carried out a series of investigations on LCs distribution in the Yellow Sea and the East China Sea in July and December 2011. 210 samples from different depths were collected from 44 stations in summer and 217 samples were collected from 45 stations in winter. Totally 20 taxa belonging to coccolithophyceae were identified using a polarized microscope at the 1000 × magnification. The dominant species of the two seasons were Gephyrocapsa oceanica, Emiliania huxleyi, Helicosphaera carteri, and Algirosphaera robusta. In summer the abundance of coccolithophore cells and coccoliths ranged 0–176.40 cells mL−1, and 0–2144.98 coccoliths mL−1, with the average values of 8.45 cells mL−1, and 265.42 coccoliths mL−1, respectively. And in winter the abundance of cells and coccoliths ranged 0–71.66 cells mL−1, and 0–4698.99 coccoliths mL−1, with the average values of 13.91 cells mL−1 and 872.56 coccoliths mL−1, respectively. In summer, the LCs in surface layer were mainly observed on the coastal belt and southern part of the survey area. In winter, the LCs in surface layer had high value in the continental shelf area of section P. The comparison among section A, section F, section P and section E indicated lower species diversity and less abundance in the Yellow Sea than those in the East China Sea in both seasons. Temperature and the nitrate concentration may be the major environmental factors controlling the distribution and species composition of LCs in the studying area based on CCA. Abbreviations: LCs: Living Coccolithophores; CCA: canonical correspondence analysis; DCM: Deep Chlorophyll Maximum

Seasonal dynamics of Trichodesmium in the northern East China Sea

2014 ◽  
Vol 88 ◽  
pp. 161-170 ◽  
Author(s):  
Dong-Sheng Zhang ◽  
Dou-Ding Lu ◽  
Hong-Liang Li ◽  
Xiao-Bo Ni ◽  
Chun-Sheng Wang ◽  
...  
Keyword(s):  
East China Sea ◽  
Seasonal Dynamics ◽  
East China ◽  
China Sea

scholarly journals Phytoplankton community diversity is influenced by environmental factors in the coastal East China Sea

2015 ◽  
Vol 51 (1) ◽  
pp. 107-118 ◽  
Author(s):  
Zhifang Xu ◽  
Ying Chen ◽  
Xi Meng ◽  
Fujiang Wang ◽  
Zhijian Zheng
Keyword(s):  
Environmental Factors ◽  
East China Sea ◽  
Phytoplankton Community ◽  
Community Diversity ◽  
East China ◽  
China Sea

scholarly journals The Relationship between Environmental Factors and Catch Abundance of Hairtail in the East China Sea Using Empirical Dynamic Modeling

Fishes ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 80
Author(s):  
Jinfei Hu ◽  
Ping Wang ◽  
Hailong Zhang
Keyword(s):  
Environmental Factors ◽  
East China Sea ◽  
Fishing Effort ◽  
Parametric Models ◽  
East China ◽  
The East China Sea ◽  
China Sea ◽  
Fish Catch ◽  
The Relationship ◽  
Marine Environmental

The East China Sea population of hairtail (Trichiurus lepturus, also known as T. japonicus) is a commercially important element of Chinese fisheries. Hairtail has long been widely exploited. Due to overfishing, however, its production declined over the years. One of solutions to this dilemma is to institute reasonable fishery policies. Generally, skillful short-term and long-term prediction of fish catch is a central tool for guiding the development of fishery policy. Accurate predictions require a comprehensive understanding of the relationship between fluctuations in fish catch and variability in both fishing effort and marine environmental conditions. To investigate the combined impact of fishing effort and marine environments on hairtail catch and to develop models to predict hairtail catch, we applied empirical dynamic modeling (EDM) to data on East China Sea fisheries, including hairtail catch, fishing effort, and marine environmental factors. EDM is an equation-free approach that enables the investigation of various complex systems. We constructed all possible multivariate EDM models to investigate the potential mechanisms affecting hairtail catch. Our analysis demonstrates that all key environmental factors (salinity, summer monsoon, sea surface temperature, precipitation, and power dissipation index of tropical cyclones) have an impact on nutrient supply, which we suggest is the central factor influencing hairtail catch. Finally, our comparison of EDM models with parametric models demonstrates that EDM models overwhelmingly outperform parametric models in analysis of these complex interactions.

Seasonal distribution of macrobenthos and its relationship with environmental factors in Yellow Sea and East China Sea

2018 ◽  
Vol 36 (3) ◽  
pp. 772-782 ◽  
Author(s):  
Lu Shou ◽  
Yibo Liao ◽  
Yanbin Tang ◽  
Jianfang Chen ◽  
Zhibing Jiang ◽  
...  
Keyword(s):  
Environmental Factors ◽  
East China Sea ◽  
Yellow Sea ◽  
Seasonal Distribution ◽  
East China ◽  
China Sea
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