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A global dataset of nitrogen fixation rates across inland and coastal waters

Lookup NU author(s): Professor Sam Wilson

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025 The Author(s). Limnology and Oceanography Letters published by Wiley Periodicals LLC on behalf of Association for the Sciences of Limnology and Oceanography.Biological nitrogen fixation is the conversion of dinitrogen (N2) gas into bioavailable nitrogen by microorganisms with consequences for primary production, ecosystem function, and global climate. Here we present a compiled dataset of 4793 nitrogen fixation (N2-fixation) rates measured in the water column and benthos of inland and coastal systems via the acetylene reduction assay, 15N2 labeling, or N2/Ar technique. While the data are distributed across seven continents, most observations (88%) are from the northern hemisphere. 15N2 labeling accounted for 67% of water column measurements, while the acetylene reduction assay accounted for 81% of benthic N2-fixation observations. Dataset median area-, volume-, and mass-normalized N2-fixation rates are 7.1 μmol N2-N m−2 h−1, 2.3 × 10−4 μmol N2-N L−1 h−1, and 4.8 × 10−4 μmol N2-N g−1 h−1, respectively. This dataset will facilitate future efforts to study and scale N2-fixation contributions across inland and coastal aquatic environments.


Publication metadata

Author(s): Fulweiler RW, Berberich ME, Rinehart SA, Taylor JM, Kelly MC, Ray NE, Oczkowski A, Balint SJ, Geisser AH, Mahoney CR, Benavides M, Church MJ, Loeks B, Newell SE, Olofsson M, Oppong JC, Roley SS, Vizza C, Wilson ST, Groffman PM, Scott JT, Marcarelli AM

Publication type: Article

Publication status: Published

Journal: Limnology and Oceanography Letters

Year: 2025

Pages: epub ahead of print

Online publication date: 23/01/2025

Acceptance date: 02/01/2025

Date deposited: 03/02/2025

ISSN (electronic): 2378-2242

Publisher: John Wiley and Sons Inc

URL: https://doi.org/10.1002/lol2.10459

DOI: 10.1002/lol2.10459

Data Access Statement: Dataset and metadata are available at https://doi.org/10.6073/pasta/333f651ca721da657d5fd0c393d26cf8 (Environmental Data Initiative, 2025).


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