GSTDTAP
DOI10.1029/2019GL084376
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
ISSN0094-8276
EISSN1944-8007
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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