Data‐Driven Modeling of the Distribution of Diazotrophs in the Global Ocean-Reference-Cited by-同舟云学术

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Data‐Driven Modeling of the Distribution of Diazotrophs in the Global Ocean

Published:2019-11-13 Issue:21 Volume:46 Page:12258-12269
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys. Res. Lett.

Author:

Tang Weiyi¹²^ORCID,Cassar Nicolas¹³^ORCID

Affiliation:

1. Division of Earth and Ocean Sciences, Nicholas School of the Environment Duke University Durham NC USA

2. Now at Department of Geosciences Princeton University Princeton NJ USA

3. Laboratoire des Sciences de l'Environnement Marin, UMR 6539 UBO/CNRS/IRD/IFREMER Institut Universitaire Européen de la Mer Brest France

Funder

Ministère de la Transition écologique et Solidaire

National Stroke Foundation

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019GL084376

Reference93 articles.

1. Longitudinal variability of diazotroph abundances in the subtropical North Atlantic Ocean

2. Aphotic N<sub>2</sub> fixation along an oligotrophic to ultraoligotrophic transect in the western tropical South Pacific Ocean

3. Machine learning for data-driven discovery in solid Earth geoscience

4. High‐nitrogen fixation rates in the particulate and dissolved pools in the Western Tropical Pacific (Solomon and Bismarck Seas)

5. Transcriptionally active heterotrophic diazotrophs are widespread in the upper water column of the Arabian Sea

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