A global dataset of terrestrial biological nitrogen fixation

  • Carla R. Reis Ely
  • , Steven S. Perakis
  • , Cory C. Cleveland
  • , Duncan N.L. Menge
  • , Sasha C. Reed
  • , Sarah A. Batterman
  • , Timothy E. Crews
  • , Katherine A. Dynarski
  • , Maga Gei
  • , Michael J. Gundale
  • , Sarah E. Jovan
  • , Sian Kou-Giesbrecht
  • , Mark B. Peoples
  • , Emilio Rodríguez-Caballero
  • , Verity G. Salmon
  • , Fiona M. Soper
  • , Anika P. Staccone
  • , Benton N. Taylor
  • , Bettina Weber
  • , Nina Wurzburger

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Biological nitrogen fixation (BNF) is the main natural source of new nitrogen inputs in terrestrial ecosystems, supporting terrestrial productivity, carbon uptake, and other Earth system processes. We assembled a comprehensive global dataset of field measurements of BNF in all major N-fixing niches across natural terrestrial biomes derived from the analysis of 376 BNF studies. The dataset comprises 32 variables, including site location, biome type, N-fixing niche, sampling year, quantification method, BNF rate (kg N ha−1 y−1), the percentage of nitrogen derived from the atmosphere (%Ndfa), N fixer or N-fixing substrate abundance, BNF rate per unit of N fixer abundance, and species identity. Overall, the dataset combines 1,207 BNF rates for trees, shrubs, herbs, soil, leaf litter, woody litter, dead wood, mosses, lichens, and biocrusts, 152 herb %Ndfa values, 1,005 measurements of N fixer or N-fixing substrate abundance, and 762 BNF rates per unit of N fixer abundance for a total of 424 species across 66 countries. This dataset facilitates synthesis, meta-analysis, upscaling, and model benchmarking of BNF fluxes at multiple spatial scales.

Original languageEnglish
Article number1362
JournalScientific Data
Volume12
Issue number1
DOIs
StatePublished - Dec 2025

Funding

This paper is a contribution from a working group on biological nitrogen fixation supported by the U.S. Geological Survey (USGS) John Wesley Powell Center for Analysis and Synthesis (G19AC00036, S.S.P., D.N.L.M., C.C.C., S.C.R.). This research was supported in part by an appointment to the USGS Research Participation Program administered by the Oak Ridge Institute for Science and Education (ORISE) through an interagency agreement between U.S. Departments of Energy (DOE) and Interior (DOI) under DOE contract number DE-SC0014664. S.A.B. was funded by the Leverhulme Trust and the United Kingdom Natural Environment Research Council (NE/M019497/1, NE/N012542/1). E.R-C was supported by the Ramon y Cajal fellowship (RYC2020-030762-I) and CRUST R-Forze (PID2021-127631NA-I00) project, both funded by FEDER/Ministerio de Ciencia e Inovacion, Agencia Estatal de Investigación. We thank E. Drumm, C. Lauria, J. Shostrand, I. van Duuren, M. Blackburn, and K. Copeland for their help with data collection. This manuscript was reviewed by USGS and USDA Forest Service for technical and policy content and approved for publication. We thank Linda Geiser for her comments. The views and conclusions in this article represent the views solely of the authors from ORAU/ORISE and USDA Forest Service but do represent the views of USGS. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

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