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Deep soil contributions to global nitrogen budgets

Author

Listed:
  • Maya Almaraz

    (Yale University
    Yale University)

  • Chao Wang

    (Chinese Academy of Sciences)

  • Michelle Y. Wong

    (Cary Institute of Ecosystem Studies
    Yale University)

Abstract

Previous estimates of deep soil inorganic nitrogen (N) reservoirs have been mainly limited to desert soils, however, recent evidence suggests that deep soil pools are far more ubiquitous across biomes and therefore may be important for global N budgets. Here, we used observations from 280 deep soil profiles (2-205 m) across a wide array of ecosystem and land cover types to seek insight into the full geospatial variation of deep soil nitrate. Using a random forest machine learning approach we estimate a total deep soil nitrate pool of 15.2 ( ± 1.1 SD) Pg of N. When included in the global soil N pool, our estimates of deep soil N increase the global N storage budget by 16%. Estimating these deep soil N pools continues to add to our understanding of soils as a fate for anthropogenically fixed N, and the critical role that deep soils play in our biosphere.

Suggested Citation

  • Maya Almaraz & Chao Wang & Michelle Y. Wong, 2025. "Deep soil contributions to global nitrogen budgets," Nature Communications, Nature, vol. 16(1), pages 1-7, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56132-1
    DOI: 10.1038/s41467-025-56132-1
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    References listed on IDEAS

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    1. Sharon J. Hall & Pamela A. Matson, 1999. "Nitrogen oxide emissions after nitrogen additions in tropical forests," Nature, Nature, vol. 400(6740), pages 152-155, July.
    2. Kuhn, Max, 2008. "Building Predictive Models in R Using the caret Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 28(i05).
    3. César Terrer & Robert B. Jackson & I. Colin Prentice & Trevor F. Keenan & Christina Kaiser & Sara Vicca & Joshua B. Fisher & Peter B. Reich & Benjamin D. Stocker & Bruce A. Hungate & Josep Peñuelas & , 2019. "Nitrogen and phosphorus constrain the CO2 fertilization of global plant biomass," Nature Climate Change, Nature, vol. 9(9), pages 684-689, September.
    4. Tomislav Hengl & Jorge Mendes de Jesus & Gerard B M Heuvelink & Maria Ruiperez Gonzalez & Milan Kilibarda & Aleksandar Blagotić & Wei Shangguan & Marvin N Wright & Xiaoyuan Geng & Bernhard Bauer-Marsc, 2017. "SoilGrids250m: Global gridded soil information based on machine learning," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-40, February.
    5. Jens Strauss & Christina Biasi & Tina Sanders & Benjamin W. Abbott & Thomas Schneider Deimling & Carolina Voigt & Matthias Winkel & Maija E. Marushchak & Dan Kou & Matthias Fuchs & Marcus A. Horn & Lo, 2022. "A globally relevant stock of soil nitrogen in the Yedoma permafrost domain," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
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