Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/49541
Title: Global density and biomass of arbuscular mycorrhizal fungal networks
Authors: Stewart, Justin D.
Bisot, Corentin
Cargill, Rachael I. M.
Van Nuland, Michael E.
Hawkins, Heidi-Jayne
Oyarte Galvez, Loreto
Klein, Malin
van Son, Marije
Terry, Victoria
Pare, Louis
Banchini, Claudia
Stefani, Franck
Kahane, Felix
Lin, Kai-Kai
Braghiere, Renato K.
Field, Katie J.
SOUDZILOVSKAIA, Nadia 
Elhance, Jinsu
Kokkoris, Vasilis
Sheldrake, Merlin
Weedon, James T.
Shimizu, Thomas S.
West, Stuart
Kiers, E. Toby
Issue Date: 2026
Publisher: AMER ASSOC ADVANCEMENT SCIENCE
Source: Science, 392 (6803) , p. 1171 -1176
Abstract: Arbuscular mycorrhizal fungi form symbioses with similar to 70% of plant species, building hyphal networks that exchange nutrients for host-derived carbon. These tubular networks move similar to 1 billion metric tons of carbon per year into Earth's soils. However, we have no quantitative understanding of the hyphal infrastructure required to carry out this resource transfer. We assembled data from 322 studies representing more than 16,000 soil cores across nine biomes and developed machine-learning models to predict hyphal densities globally. With robotic imaging of more than 300,000 hyphae, we calibrated a biomass model from our spatial predictions. We estimate that global topsoils contain 1.10 x 10(17) +/- 0.13 x 10(17) SD kilometers of living hyphae, weighing similar to 300 +/- 60 SD megatons, similar to 4- to 6-fold the biomass of humans. Our uncertainty analyses identified undersampled ecosystems that require additional empirical attention.
Notes: Stewart, JD (corresponding author), Vrije Univ Amsterdam, Amsterdam Inst Life & Environm A LIFE, Sect Ecol & Evolut, Amsterdam, Netherlands.; Stewart, JD (corresponding author), Soc Protect Underground Networks SPUN, Wilmington, DE 19901 USA.; Stewart, JD (corresponding author), Waag Futurelab Stichting Waag Soc, Amsterdam, Netherlands.
justin@spun.earth
Keywords: Symbiosis;Machine Learning;Ecosystem;Mycorrhizae;Biomass;Hyphae;Soil Microbiology
Document URI: http://hdl.handle.net/1942/49541
ISSN: 0036-8075
e-ISSN: 1095-9203
DOI: 10.1126/science.adu4373
ISI #: 001790604700010
Rights: 2026 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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