Fungal trait‐environment relationships in wood‐inhabiting communities of boreal forest patches

Abstract
Fungal traits can provide a mechanistic understanding of how wood-inhabiting fungi interact with their environment and how that influences community assembly in deadwood. However, fungal trait exploration is relatively new and almost no studies measure fungal traits in their environment. In this study we tested species- and trait-environment relationships in reproducing fungal communities inhabiting 571 Norway spruce (Picea abies) logs in 55 isolated forest patches (0.1–9.9 ha) of different naturalness types, located in Northern boreal Sweden. The studied patches were (1) semi-natural set-aside patches within highly managed landscapes, or (2) old-growth natural patches located in an unmanaged landscape. We tested species and trait relationships to deadwood substrate and forest patch variables. We measured mean fruit body size and density for each of the 19 species within communities. Traits assembled in relation to log decay stage and forest patch naturalness, illustrating the important role of deterministic environmental filtering in shaping reproducing wood-inhabiting fungal communities. Early decay stage communities had larger, less dense, annual fruiting bodies of half-resupinate type and were more often white-rot fungi. Species rich mid-decay stage communities had mixed trait assemblages with more long lived perennial fruit bodies of intermediate size, and both brown- and white-rot fungi equally represented. Finally, late decay stage communities had smaller, denser and perennial fruit bodies, more often of the brown-rot type. The relationships between the studied traits and decay stages were similar in both set-aside and natural patches. However, set-aside semi-natural patches in highly managed landscapes more frequently supported species with smaller, perennial and resupinate fruit bodies compared to natural patches in an unmanaged landscape. Synthesis. We found that log decay stage was the primary driver of fungal community assembly of species and traits in isolated forest patches. Our results suggest that decay stage filters four reproduction traits (fruit body density, size, lifespan and type) and one resource-use trait (white or brown rot). Our results highlights, for the first time, that communities with diverse fungal reproductive traits are maintained foremost across all deadwood decay stages under different forest naturalness conditions.
Main Authors
Format
Articles Research article
Published
2024
Series
Subjects
Publication in research information system
Publisher
Wiley-Blackwell
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202408165540Use this for linking
Review status
Peer reviewed
ISSN
0269-8463
DOI
https://doi.org/10.1111/1365-2435.14627
Language
English
Published in
Functional Ecology
Citation
  • Dawson, S. K., Berglund, H., Ovaskainen, O., Jonsson, B. G., Snäll, T., Ottosson, E., & Jönsson, M. (2024). Fungal trait‐environment relationships in wood‐inhabiting communities of boreal forest patches. Functional Ecology, Early View. https://doi.org/10.1111/1365-2435.14627
License
CC BY 4.0Open Access
Funder(s)
Research Council of Finland
Research Council of Finland
European Commission
Funding program(s)
Research costs of Academy Professor, AoF
Research post as Academy Professor, AoF
ERC European Research Council, H2020
Akatemiaprofessorin tutkimuskulut, SA
Akatemiaprofessorin tehtävä, SA
ERC European Research Council, H2020
Research Council of FinlandEuropean CommissionEuropean research council
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.
Additional information about funding
Horizon 2020 Framework Programme, Grant/Award Number: 856506; Strategic Research Council, Grant/Award Number: 336212 and 345110; Svenska Forskningsrådet Formas, Grant/Award Number: 2016- 00461
Copyright© 2024 the Authors

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