Factors dominating bacterioplankton abundance and production in the Nordic seas and the Chukchi Sea in summer 2012

Abundance and production of bacterioplankton were measured in the Nordic seas and Chukchi Sea during the 5th Chinese Arctic Research Expedition in summer 2012. The results showed that average bacterial abundances ranged from 3.31×10^11 cells/m^3 to 2.25× 10^11 cells/m^3, and average bacterial produc...

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Published inActa oceanologica Sinica Vol. 36; no. 8; pp. 153 - 162
Main Authors Gao, Yuan, He, Jianfeng, Chen, Min, Lin, Ling, Zhang, Fang
Format Journal Article
LanguageEnglish
Published Beijing The Chinese Society of Oceanography 01.08.2017
Springer Nature B.V
College of Ocean and Earth Sciences, Xiamen University, Xiamen 361005, China
State Oceanic Administration Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136,China%State Oceanic Administration Key Laboratory for Polar Science, Polar Research Institute of China, Shanghai 200136,China%College of Ocean and Earth Sciences, Xiamen University, Xiamen 361005, China
State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, China
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Summary:Abundance and production of bacterioplankton were measured in the Nordic seas and Chukchi Sea during the 5th Chinese Arctic Research Expedition in summer 2012. The results showed that average bacterial abundances ranged from 3.31×10^11 cells/m^3 to 2.25× 10^11 cells/m^3, and average bacterial productions (calculated by carbon) were 0.46 mg/(m^3·d) and 0.54 mg/(m^3·d) in the Nordic seas and Chukchi Sea, respectively. T-test result showed that bacterial abundances were significantly different between the Nordic seas and Chukchi Sea, however, no significant difference was observed regarding bacterial productions. Based on the slope of lg bacterial biomass versus lg bacterial production, bacterial communities in the Nordic seas and Chukchi Sea were moderately dominated by bottom-up control. Both Pearson correlation analysis and multivariable linear regression indicated that temperature had significant positive correlation with bacterial abundance in the Chukchi Sea, while no correlations with productions in both areas. Meanwhile, Chl a had positive correlations with both bacterial abundance and production in these two regions. As the temperature and Chl a keep changing in the future, we suggest that both bacterial abundance and production been hanced in the Chukchi Sea but weaken in the Nordic seas, though the enhancement will not be dramatic as a result of higher pressure of predation and viral lysis.
Bibliography:Abundance and production of bacterioplankton were measured in the Nordic seas and Chukchi Sea during the 5th Chinese Arctic Research Expedition in summer 2012. The results showed that average bacterial abundances ranged from 3.31×10^11 cells/m^3 to 2.25× 10^11 cells/m^3, and average bacterial productions (calculated by carbon) were 0.46 mg/(m^3·d) and 0.54 mg/(m^3·d) in the Nordic seas and Chukchi Sea, respectively. T-test result showed that bacterial abundances were significantly different between the Nordic seas and Chukchi Sea, however, no significant difference was observed regarding bacterial productions. Based on the slope of lg bacterial biomass versus lg bacterial production, bacterial communities in the Nordic seas and Chukchi Sea were moderately dominated by bottom-up control. Both Pearson correlation analysis and multivariable linear regression indicated that temperature had significant positive correlation with bacterial abundance in the Chukchi Sea, while no correlations with productions in both areas. Meanwhile, Chl a had positive correlations with both bacterial abundance and production in these two regions. As the temperature and Chl a keep changing in the future, we suggest that both bacterial abundance and production been hanced in the Chukchi Sea but weaken in the Nordic seas, though the enhancement will not be dramatic as a result of higher pressure of predation and viral lysis.
bacterioplankton, abundance, production, Arctic Ocean, environmental factors
11-2056/P
ISSN:0253-505X
1869-1099
DOI:10.1007/s13131-017-1031-1