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The role of stochasticity in fungal community assembly: explaining apparent stochasticity with field experiments

abrego_etal-2025-rspb.2024.2416.pdf
abrego_etal-2025-rspb.2024.2416.pdf - Publisher's version - 1.1 MB
How to cite: Nerea Abrego, Sonja Saine, Reijo Penttilä, Brendan Furneaux, Tuija Hytönen, Otto Miettinen, Norman Monkhouse, Raisa Mäkipää, Jorma Pennanen, Evgeny V. Zakharov, Otso Ovaskainen; The role of stochasticity in fungal community assembly: explaining apparent stochasticity with field experiments. Proc Biol Sci 1 February 2025; 292 (2040): 20242416. https://doi.org/10.1098/rspb.2024.2416

Tiivistelmä

Stochasticity is a main process in community assembly. However, experimental studies rarely target stochasticity in natural communities, and hence experimental validation of stochasticity estimates in observational studies is lacking. Here, we combine experimental and observational data to unravel the role of stochasticity in the assembly of wood inhabiting fungi. We carried out a replicated field experiment where the natural colonization of a focal fungal species was simulated through inoculation, and the local fungal communities were monitored through DNA metabarcoding before and after the inoculations. The amount of stochasticity in fungal colonization was less pronounced than expected from the amount of unpredictability in observational data, suggesting that stochasticity may play a smaller role in fungal occurrence than previously anticipated, or that it may be a stronger influence in the dispersal and establishment phases than in colonization per se. Stochasticity was more prominent in he initial phase of community succession, with the earliest successional stage involving a higher level of stochasticity than the later stage after 2 years. We conclude that experimentally measuring the role of stochasticity in community assembly is feasible for species-rich communities under natural conditions and highlight the importance of experimentally testing the accuracy of stochasticity estimates based on observational data.

ISBN

OKM-julkaisutyyppi

A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Julkaisusarja

Proceedings of the Royal Society B : biological sciences

Volyymi

292

Numero

2040

Sivut

Sivut

12 p.

ISSN

0962-8452
1471-2954