KMS Qingdao Institute of Biomass Energy and Bioprocess Technology ,CAS
| Estimating primary production of picophytoplankton using the carbon-based ocean productivity model: a preliminary study | |
| Liang, Yantao; Zhang, Yongyu; Wang, Nannan; Luo, Tingwei; Zhang, Yao; Rivkin, Richard B | |
| 2017-10-05 | |
| 发表期刊 | FRONTIERS IN MICROBIOLOGY
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| 卷号 | 8页码:1926 |
| 产权排序 | 1 |
| 摘要 | Picophytoplankton are acknowledged to contribute significantly to primary production (PP) in the ocean while now the method to measure PP of picophytoplankton (PPPico) at large scales is not yet well established. Although the traditional 14C method and new technologies based on the use of stable isotopes (e.g., 13C) can be employed to accurately measure in situ PPPico, the time-consuming and labor-intensive shortage of these methods constrain their application in a survey on large spatiotemporal scales. To overcome this shortage, a modified carbon-based ocean productivity model (CbPM) is proposed for estimating the PPPico whose principle is based on the group-specific abundance, cellular carbon conversion factor (CCF), and temperature-derived growth rate of picophytoplankton. Comparative analysis showed that the estimated PPPico using CbPM method is significantly and positively related (r2 D 0.53, P < 0.001, n D 171) to the measured 14C uptake. This significant relationship suggests that CbPM has the potential to estimate the PPPico over large spatial and temporal scales. Currently this model application may be limited by the use of invariant cellular CCF and the relatively small data sets to validate the model which may introduce some uncertainties and biases. Model performance will be improved by the use of variable conversion factors and the larger data sets representing diverse growth conditions. Finally, we apply the CbPM-based model on the collected data during four cruises in the Bohai Sea in 2005. Model-estimated PPPico ranged from 0.1 to 11.9, 29.9 to 432.8, 5.5 to 214.9, and 2.4 to 65.8 mg C m−2 d−1 during March, June, September, and December, respectively. This study shed light on the estimation of global PPPico using carbon-based production model. |
| 文章类型 | Article |
| 关键词 | Carbon-based Production Model Abundance Growth Rate Primary Production Picophytoplankton |
| 学科领域 | 微生物 |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| DOI | 10.3389/fmicb.2017.01926 |
| 语种 | 英语 |
| WOS研究方向 | Microbiology |
| 项目资助者 | National Key Research and Development Program of China (2016YFA0601402) ; the open task of Qingdao National Laboratory for Marine Science and Technology (QNLM2016ORP0311) ; the CNOOC Tianjin project (CNOOC-KJ125FZDXM00TJ001-2014) ; a KeyR&Dprojectsin Shandong Province (2015GSF115036 ; the National Programme on Global Change and Air-Sea Interaction (GASI–03–01–02– 05), ; NSFC projects (41606153 and 41422603) ; the MEL Visiting Fellowship Program (MELRS1511) |
| WOS类目 | Microbiology |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.qibebt.ac.cn/handle/337004/9836 |
| 专题 | 海洋碳汇与能源微生物研究组 |
| 通讯作者 | Zhang, Yongyu |
| 作者单位 | 1.Research Center for Marine Biology and Carbon Sequestration, Shandong Provincial Key Laboratory of Energy Genetics,Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences 2.Institute of Marine Microbes and Ecospheres, State Key Laboratory of Marine Environmental Science, Xiamen University 3.Department of Ocean Sciences, Memorial University of Newfoundland |
| 推荐引用方式 GB/T 7714 | Liang, Yantao,Zhang, Yongyu,Wang, Nannan,et al. Estimating primary production of picophytoplankton using the carbon-based ocean productivity model: a preliminary study[J]. FRONTIERS IN MICROBIOLOGY,2017,8:1926. |
| APA | Liang, Yantao,Zhang, Yongyu,Wang, Nannan,Luo, Tingwei,Zhang, Yao,&Rivkin, Richard B.(2017).Estimating primary production of picophytoplankton using the carbon-based ocean productivity model: a preliminary study.FRONTIERS IN MICROBIOLOGY,8,1926. |
| MLA | Liang, Yantao,et al."Estimating primary production of picophytoplankton using the carbon-based ocean productivity model: a preliminary study".FRONTIERS IN MICROBIOLOGY 8(2017):1926. |
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