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An assessment of biodiversity data shortfalls for ectomycorrhizal fungi in Canada

An assessment of biodiversity data shortfalls for ectomycorrhizal fungi in Canada

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

Isaac Eckert, Justine Karst, Monika S Fischer, Stephanie N Kivlin, Clara Qin , Brontë R Shelton, Diego A Yusta Belsham, Jason Pither

Abstract

Ectomycorrhizal (EcM) fungi play critical roles in global carbon and nutrient cycling. In Canada, vast forest ecosystems dominated by EcM trees are experiencing rapid environmental and anthropogenic change that threaten the symbiosis. Here we quantify and discuss seven biodiversity data shortfalls that constrain our knowledge of EcM fungi in Canada, and impede the development of effective conservation plans. We based our assessments on publicly accessible sequence data from GlobalFungi and GenBank, filtered to samples within Canada. We found 2,805 unique EcM fungal species hypotheses, of which only 58% could be assigned a species name. The 1,405 unique named species comprised 124 genera, roughly 38% of the genera known globally. An overriding shortfall is that samples are lacking from large areas of the country, and with respect to both abiotic and biotic niche space. For example, host information is missing or unresolved for 73% of the named species, and among 1,002 species georeferenced in GlobalFungi, 50% have 5 or fewer occurrence records nationally. Although our assessment highlights large biodiversity data shortfalls for EcM fungi in Canada, it also provides the foundation for a coordinated, pan-Canadian sampling effort that can be optimized to address multiple shortfalls simultaneously.

DOI

https://doi.org/10.32942/X2F38Q

Subjects

Biodiversity, Botany, Ecology and Evolutionary Biology, Microbiology

Keywords

ectomycorrhizal fungi, species hypotheses, biodiversity shortfalls, fungal conservation, DNA metabarcoding, boreal forest, biodiversity

Dates

Published: 2026-07-22 21:20

Last Updated: 2026-07-22 21:20

License

CC-BY Attribution-NonCommercial 4.0 International

Additional Metadata

Data and Code Availability Statement:
All data and code to reproduce this study will be made publicly available (according to licensing) on Borealis. A complementary GitHub repo is available (https://github.com/pitherj/Canada_ecto_shortfalls).

Language:
English

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