Zhang XL(张晓黎)
发表期刊Journal of Geophysical Research: Biogeosciences
ISSN2169-8953
2018-10
卷号123期号:10页码:3331-3352
关键词biogeochemical oceanographygene copy number ratiomodelingnitrogen cyclespatial and seasonal patterns
研究领域Environmental Sciences & Ecology; Geology
DOI10.1029/2018JG004682
产权排序[Zhang, Xiaoli; Zhang, Qianqian; Yang, Anjing] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China; [Yang, Anjing] Univ Chinese Acad Sci, Beijing, Peoples R China; [Hou, Lijun; Zheng, Yanling] East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai, Peoples R China; [Zhai, Weidong] Shandong Univ, Inst Marine Sci & Technol, Jinan, Shandong, Peoples R China; [Gong, Jun] Sun Yat Sen Univ, Sch Marine Sci, Lab Microbial Ecol & Matter Cycles, Zhuhai Campus, Zhuhai, Peoples R China
作者部门海岸带生物学与生物资源保护实验室
英文摘要Marine benthic nitrogen (N) cycling may vary widely across space and seasons; it is thus needed to make high-resolution estimations of these important ecosystem processes with a reasonable number of variables. In this study, we determined the benthic denitrification and anammox potentials in two basins, the Bohai Sea and the North Yellow Sea of China in May and November, and evaluated models in predicting these functions with environmental factors and/or microbial gene-based functional traits. We found that denitrification generally dominated the N loss (54-98%), and that the denitrification rate varied greatly between basins and seasons. The anammox rate was generally higher in the Bohai Sea than in the North Yellow Sea in both seasons, and it made a greater contribution in November (22%) than in May (16%). Among the measured environmental factors, chlorophyll a in bottom waters and sedimentary organic carbon content were the most influential for predicting denitrification and anammox rates, respectively. On the other hand, the alpha diversities and gene abundances of involved bacteria were poorly correlated with the function potentials, indicating that these functional traits could not well explain the functions alone. Upon the incorporation of two gene copy number ratios [nosZ/(nirS+nirK) and nirK/bacterial 16S rRNA genes] into the environmental factor-parameterized models, however, we found that the predictive powers of the regression models for total N loss, denitrification and anammox rates, and contributions of anammox increased substantially, indicating that taking microbial functional traits into account could make estimations of these N-cycling functions in coastal ecosystems more accurate.
文章类型Article
资助机构Natural Science Foundation of China [41206155, 41676154]; Strategic Priority Research Program of the Chinese Academy of Sciences [XDA11020702]; Key Research Program of Frontier Sciences [QYZDB-SSW-DQC013, QYZDB-SSW-DQC041]; Science and Technology Development Program of Yantai, China [2015ZH074]; Discipline Construction Guide Foundation in Harbin Institute of Technology at Weihai [WH20160205]; Special Program for Basic Research of the Ministry of Science and Technology, China [2014FY210600]
收录类别SCI
语种英语
关键词[WOS]ANAEROBIC AMMONIUM OXIDATION; NITROUS-OXIDE REDUCTASE; 16S RIBOSOMAL-RNA; BOHAI SEA; YELLOW SEA; ORGANIC-MATTER; DENITRIFYING BACTERIA; NITRATE REDUCTION; NITRITE REDUCTASE; N-2 PRODUCTION
研究领域[WOS]Environmental Sciences; Geosciences, Multidisciplinary
WOS记录号WOS:000450721000017
引用统计被引频次：14[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/24135
专题海岸带生物学与生物资源利用重点实验室_海岸带生物资源高效利用研究与发展中心
海岸带生物学与生物资源利用重点实验室_海岸带生物学与生物资源保护实验室
作者单位Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, China
推荐引用方式
GB/T 7714Zhang XL. Incorporation of Microbial Functional Traits in Biogeochemistry Models Provides Better Estimations of Benthic Denitrification and Anammox Rates in Coastal Oceans[J]. Journal of Geophysical Research: Biogeosciences,2018,123(10):3331-3352.
APAZhang XL.(2018).Incorporation of Microbial Functional Traits in Biogeochemistry Models Provides Better Estimations of Benthic Denitrification and Anammox Rates in Coastal Oceans.Journal of Geophysical Research: Biogeosciences,123(10),3331-3352.
MLAZhang XL."Incorporation of Microbial Functional Traits in Biogeochemistry Models Provides Better Estimations of Benthic Denitrification and Anammox Rates in Coastal Oceans".Journal of Geophysical Research: Biogeosciences 123.10(2018):3331-3352.
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