TY - JOUR
T1 - Global hotspots of mycorrhizal fungal richness are poorly protected
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 S.
AU - Dulia, Olesia
AU - Furci, Giuliana
AU - Marín, César
AU - Sheldrake, Merlin
AU - Weedon, James T
AU - Peay, K.G.
AU - Cornwallis, Charlie K.
AU - Větrovský, Tomáš
AU - Kohout, Petr
AU - Baldrian, Petr
AU - Tedersoo, Leho
AU - West, Stuart A.
AU - Crowther, Thomas W.
AU - Kiers, E. Toby
AU - Ramirez-Villacis, Dario X.
AU - van den Hoogen, Johan
PY - 2025/7/23
Y1 - 2025/7/23
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.
U2 - 10.1038/s41586-025-09277-4
DO - 10.1038/s41586-025-09277-4
M3 - Article
SN - 0028-0836
JO - Nature
JF - Nature
ER -