Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019GL084376 |
Data-Driven Modeling of the Distribution of Diazotrophs in the Global Ocean | |
Tang, Weiyi1,2; Cassar, Nicolas1,3 | |
2019-11-13 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
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ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2019 |
卷号 | 46期号:21页码:12258-12269 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; France |
英文摘要 | Diazotrophs play a critical role in the biogeochemical cycling of nitrogen, carbon, and other elements in the global ocean. Despite their well-recognized role, the diversity, abundance, and distribution of diazotrophs in the world's ocean remain poorly characterized largely due to limited observations. Here we update the database of diazotroph nifH gene abundances and assess how environmental factors may regulate diazotrophs at the global scale. Our meta-analysis more than doubles the number of observations in the previous database. Using linear and nonlinear regressions, we find that the abundances of Trichodesmium, UCYN-A, UCYN-B, and Richelia relate differently to temperature, light, and nutrients. We further apply a random forest algorithm to estimate the global distributions of these diazotrophic groups, identifying undersampled potential hot spots of diazotrophy in the South Atlantic and southern Indian Ocean, and in coastal waters. The distinct ecophysiologies of diazotrophs highlighted here argue for separate parameterizations of different diazotrophs in model simulations. |
英文关键词 | diazotrophs marine nitrogen fixation meta-analysis machine learning |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000496183000001 |
WOS关键词 | NITROGEN-FIXATION ; NORTH-ATLANTIC ; N-2 FIXATION ; PHOSPHORUS LIMITATION ; DINITROGEN FIXATION ; PACIFIC ; SOUTH ; TRICHODESMIUM ; CYANOBACTERIA ; RATES |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/225012 |
专题 | 环境与发展全球科技态势 |
作者单位 | 1.Duke Univ, Nicholas Sch Environm, Div Earth & Ocean Sci, Durham, NC 27708 USA; 2.Princeton Univ, Dept Geosci, Princeton, NJ 08544 USA; 3.Inst Univ Europeen Mer, Lab Sci Environm Marin, UMR 6539 UBO CNRS IRD IFREMER, Brest, France |
推荐引用方式 GB/T 7714 | Tang, Weiyi,Cassar, Nicolas. Data-Driven Modeling of the Distribution of Diazotrophs in the Global Ocean[J]. GEOPHYSICAL RESEARCH LETTERS,2019,46(21):12258-12269. |
APA | Tang, Weiyi,&Cassar, Nicolas.(2019).Data-Driven Modeling of the Distribution of Diazotrophs in the Global Ocean.GEOPHYSICAL RESEARCH LETTERS,46(21),12258-12269. |
MLA | Tang, Weiyi,et al."Data-Driven Modeling of the Distribution of Diazotrophs in the Global Ocean".GEOPHYSICAL RESEARCH LETTERS 46.21(2019):12258-12269. |
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