TY - JOUR
T1 - Global hotspots of mycorrhizal fungal richness are poorly protected
AU - SPUN Mapping Consortium
AU - Van Nuland, Michael E.
AU - Averill, Colin
AU - Stewart, Justin D.
AU - Prylutskyi, Oleh
AU - Corrales, Adriana
AU - van Galen, Laura G.
AU - Manley, Bethan F.
AU - Qin, Clara
AU - Lauber, Thomas
AU - Mikryukov, Vladimir
AU - Dulia, Olesia
AU - Furci, Giuliana
AU - Marin, Cesar
AU - Sheldrake, Merlin
AU - Weedon, James T.
AU - Peay, Kabir G.
AU - Cornwallis, Charlie K.
AU - Vetrovsky, Tomas
AU - Kohout, Petr
AU - Baldrian, Petr
AU - Tedersoo, Leho
AU - West, Stuart A.
AU - Crowther, Thomas W.
AU - Kiers, E. Toby
AU - van den Hoogen, Johan
AU - Barriga-Medina, Noelia
AU - Bonfante, Paola
AU - Cevirgel, Alper
AU - Chatanga, Peter
AU - Chaudhary, Bala
AU - Chialva, Matteo
AU - Daws, S. Caroline
AU - Day, Mark
AU - Deveau, Aurelie
AU - Diringer, Vincent
AU - Franklin, Katie
AU - Hynson, Nicole
AU - Koshkina, Alyona
AU - Lanfranco, Luisa
AU - Leon-Reyes, Antonio
AU - Llerena, Sol
AU - Maduna, Liteboho
AU - Martin, Francis
AU - Maurice, Jean-Paul
AU - Molete, Sebolelo
AU - Avella Munoz, Andres
AU - Nokes, Liam F.
AU - Parra Aldana, Cesar A.
AU - Pringle, Rachel
AU - Ramirez-Villacis, Dario X.
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/9/11
Y1 - 2025/9/11
N2 - Mycorrhizal fungi are ecosystem engineers that sustain plant life and help regulate Earth’s biogeochemical cycles1, 2–3. 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.
AB - Mycorrhizal fungi are ecosystem engineers that sustain plant life and help regulate Earth’s biogeochemical cycles1, 2–3. 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.
KW - Carbon
KW - Diversity
KW - Mycelium
KW - Patterns
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=d7dz6a2i7wiom976oc9ff2iqvdhv8k5x&SrcAuth=WosAPI&KeyUT=WOS:001594279000019&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1038/s41586-025-09277-4
DO - 10.1038/s41586-025-09277-4
M3 - Article
C2 - 40702191
SN - 0028-0836
VL - 645
SP - 414
EP - 422
JO - Nature
JF - Nature
IS - 8080
ER -