Author
Listed:
- Michael E. Nuland
(Society for the Protection of Underground Networks (SPUN))
- Colin Averill
(ETH Zürich
Funga Public Benefit Corporation)
- Justin D. Stewart
(Society for the Protection of Underground Networks (SPUN)
Vrije Universiteit Amsterdam)
- Oleh Prylutskyi
(Falz-Fein Biosphere Reserve “Askania Nova”)
- Adriana Corrales
(Society for the Protection of Underground Networks (SPUN))
- Laura G. Galen
(Society for the Protection of Underground Networks (SPUN)
ETH Zürich)
- Bethan F. Manley
(Society for the Protection of Underground Networks (SPUN))
- Clara Qin
(Society for the Protection of Underground Networks (SPUN))
- Thomas Lauber
(ETH Zürich)
- Vladimir Mikryukov
(University of Tartu)
- Olesia Dulia
(University of Tartu)
- Giuliana Furci
(Fungi Foundation)
- César Marín
(Vrije Universiteit Amsterdam
Universidad Santo Tomás)
- Merlin Sheldrake
(Society for the Protection of Underground Networks (SPUN)
Vrije Universiteit Amsterdam)
- James T. Weedon
(Vrije Universiteit Amsterdam)
- Kabir G. Peay
(Stanford University
Stanford University)
- Charlie K. Cornwallis
(Lund University)
- Tomáš Větrovský
(Institute of Microbiology of the Czech Academy of Sciences)
- Petr Kohout
(Institute of Microbiology of the Czech Academy of Sciences)
- Petr Baldrian
(Institute of Microbiology of the Czech Academy of Sciences)
- Leho Tedersoo
(University of Tartu
King Saud University)
- Stuart A. West
(Oxford University)
- Thomas W. Crowther
(ETH Zürich)
- E. Toby Kiers
(Society for the Protection of Underground Networks (SPUN)
Vrije Universiteit Amsterdam)
- Johan Hoogen
(Society for the Protection of Underground Networks (SPUN)
ETH Zürich)
Abstract
Mycorrhizal fungi are ecosystem engineers that sustain plant life and help regulate Earth’s biogeochemical cycles1–3. However, in contrast to plants and animals, the global distribution of mycorrhizal fungal biodiversity is largely unknown, which limits our ability to monitor and protect key underground ecosystems4,5. Here we trained machine-learning algorithms on a global dataset of 25,000 geolocated soil samples comprising >2.8 billion fungal DNA sequences. We predicted arbuscular mycorrhizal and ectomycorrhizal fungal richness and rarity across terrestrial ecosystems. On the basis of these predictions, we generated high-resolution, global-scale maps and identified key reservoirs of highly diverse and endemic mycorrhizal communities. Intersecting protected areas with mycorrhizal hotspots indicated that less than 10% of predicted mycorrhizal richness hotspots currently exist in protected areas. Our results describe a largely hidden component of Earth’s underground ecosystems and can help identify conservation priorities, set monitoring benchmarks and create specific restoration plans and land-management strategies.
Suggested Citation
Michael E. Nuland & Colin Averill & Justin D. Stewart & Oleh Prylutskyi & Adriana Corrales & Laura G. Galen & Bethan F. Manley & Clara Qin & Thomas Lauber & Vladimir Mikryukov & Olesia Dulia & Giulian, 2025.
"Global hotspots of mycorrhizal fungal richness are poorly protected,"
Nature, Nature, vol. 645(8080), pages 414-422, September.
Handle:
RePEc:nat:nature:v:645:y:2025:i:8080:d:10.1038_s41586-025-09277-4
DOI: 10.1038/s41586-025-09277-4
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