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Global mycorrhizal plant distribution linked to terrestrial carbon stocks

Author

Listed:
  • Nadejda A. Soudzilovskaia

    (Leiden University)

  • Peter M. Bodegom

    (Leiden University)

  • César Terrer

    (Institut de Ciència i Tecnologia Ambientals (ICTA) Universitat Autonoma de Barcelona
    Lawrence Livermore National Laboratory)

  • Maarten van’t Zelfde

    (Leiden University)

  • Ian McCallum

    (International Institute for Applied Systems Analysis)

  • M. Luke McCormack

    (The Morton Arboretum)

  • Joshua B. Fisher

    (California Institute of Technology
    University of California)

  • Mark C. Brundrett

    (University of Western Australia)

  • Nuno César Sá

    (Leiden University)

  • Leho Tedersoo

    (University of Tartu)

Abstract

Vegetation impacts on ecosystem functioning are mediated by mycorrhizas, plant–fungal associations formed by most plant species. Ecosystems dominated by distinct mycorrhizal types differ strongly in their biogeochemistry. Quantitative analyses of mycorrhizal impacts on ecosystem functioning are hindered by the scarcity of information on mycorrhizal distributions. Here we present global, high-resolution maps of vegetation biomass distribution by dominant mycorrhizal associations. Arbuscular, ectomycorrhizal, and ericoid mycorrhizal vegetation store, respectively, 241 ± 15, 100 ± 17, and 7 ± 1.8 GT carbon in aboveground biomass, whereas non-mycorrhizal vegetation stores 29 ± 5.5 GT carbon. Soil carbon stocks in both topsoil and subsoil are positively related to the community-level biomass fraction of ectomycorrhizal plants, though the strength of this relationship varies across biomes. We show that human-induced transformations of Earth’s ecosystems have reduced ectomycorrhizal vegetation, with potential ramifications to terrestrial carbon stocks. Our work provides a benchmark for spatially explicit and globally quantitative assessments of mycorrhizal impacts on ecosystem functioning and biogeochemical cycling.

Suggested Citation

  • Nadejda A. Soudzilovskaia & Peter M. Bodegom & César Terrer & Maarten van’t Zelfde & Ian McCallum & M. Luke McCormack & Joshua B. Fisher & Mark C. Brundrett & Nuno César Sá & Leho Tedersoo, 2019. "Global mycorrhizal plant distribution linked to terrestrial carbon stocks," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13019-2
    DOI: 10.1038/s41467-019-13019-2
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    Cited by:

    1. Tarquin Netherway & Jan Bengtsson & Franz Buegger & Joachim Fritscher & Jane Oja & Karin Pritsch & Falk Hildebrand & Eveline J. Krab & Mohammad Bahram, 2024. "Pervasive associations between dark septate endophytic fungi with tree root and soil microbiomes across Europe," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Lingyan Zhou & Xuhui Zhou & Yanghui He & Yuling Fu & Zhenggang Du & Meng Lu & Xiaoying Sun & Chenghao Li & Chunyan Lu & Ruiqiang Liu & Guiyao Zhou & Shahla Hosseni Bai & Madhav P. Thakur, 2022. "Global systematic review with meta-analysis shows that warming effects on terrestrial plant biomass allocation are influenced by precipitation and mycorrhizal association," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Fantin Mesny & Shingo Miyauchi & Thorsten Thiergart & Brigitte Pickel & Lea Atanasova & Magnus Karlsson & Bruno Hüttel & Kerrie W. Barry & Sajeet Haridas & Cindy Chen & Diane Bauer & William Andreopou, 2021. "Genetic determinants of endophytism in the Arabidopsis root mycobiome," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    4. Shan Luo & Richard P. Phillips & Insu Jo & Songlin Fei & Jingjing Liang & Bernhard Schmid & Nico Eisenhauer, 2023. "Higher productivity in forests with mixed mycorrhizal strategies," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    5. Maša Zorana Ostrogović Sever & Zoltán Barcza & Dóra Hidy & Anikó Kern & Doroteja Dimoski & Slobodan Miko & Ozren Hasan & Branka Grahovac & Hrvoje Marjanović, 2021. "Evaluation of the Terrestrial Ecosystem Model Biome-BGCMuSo for Modelling Soil Organic Carbon under Different Land Uses," Land, MDPI, vol. 10(9), pages 1-23, September.

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