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Unravelling the age of fine roots of temperate and boreal forests

Author

Listed:
  • Emily F. Solly

    (Swiss Federal Institute for Forest, Snow and Landscape Research WSL
    University of Zurich)

  • Ivano Brunner

    (Swiss Federal Institute for Forest, Snow and Landscape Research WSL)

  • Heljä-Sisko Helmisaari

    (University of Helsinki)

  • Claude Herzog

    (Swiss Federal Institute for Forest, Snow and Landscape Research WSL)

  • Jaana Leppälammi-Kujansuu

    (University of Helsinki)

  • Ingo Schöning

    (Max Planck Institute for Biogeochemistry)

  • Marion Schrumpf

    (Max Planck Institute for Biogeochemistry)

  • Fritz H. Schweingruber

    (Swiss Federal Institute for Forest, Snow and Landscape Research WSL)

  • Susan E. Trumbore

    (Max Planck Institute for Biogeochemistry)

  • Frank Hagedorn

    (Swiss Federal Institute for Forest, Snow and Landscape Research WSL)

Abstract

Fine roots support the water and nutrient demands of plants and supply carbon to soils. Quantifying turnover times of fine roots is crucial for modeling soil organic matter dynamics and constraining carbon cycle–climate feedbacks. Here we challenge widely used isotope-based estimates suggesting the turnover of fine roots of trees to be as slow as a decade. By recording annual growth rings of roots from woody plant species, we show that mean chronological ages of fine roots vary from

Suggested Citation

  • Emily F. Solly & Ivano Brunner & Heljä-Sisko Helmisaari & Claude Herzog & Jaana Leppälammi-Kujansuu & Ingo Schöning & Marion Schrumpf & Fritz H. Schweingruber & Susan E. Trumbore & Frank Hagedorn, 2018. "Unravelling the age of fine roots of temperate and boreal forests," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05460-6
    DOI: 10.1038/s41467-018-05460-6
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    Cited by:

    1. Callesen, I. & Magnussen, A., 2021. "TransparC2U–A two-pool, pedology oriented forest soil carbon simulation model aimed at user investigations of multiple uncertainties," Ecological Modelling, Elsevier, vol. 453(C).

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