Ectomycorrhizal fungal community succession and fragmentation across subalpine forest edges nearly 3 decades postharvest

Ectomycorrhizal fungi (EMF) are sensitive to stand-removing disturbances. The re-establishment of diverse EMF communities, including return of the rarer fungi typical of old-growth stands, may take longer than a century. Using smaller cutovers, with their high edge to area ratio, has the potential to accelerate postharvest EMF community recovery by increasing proximity to mature forests. By contrast, forest edges produce a fragmentation effect that could eventually inflict a negative influence on EMF taxa of the remaining forest.
We compared both succession and fragmentation patterns across small openings at 27 years postharvest in a high-elevation coniferous forest. We sampled 90 m transects across forest edges of nine 1-ha openings, using long-read metabarcoding of EMF from mycorrhizal root tips, and Sanger sequencing of epigeous sporocarps to assess EMF community response.
A timber harvesting effect on root tip EMF communities was still evident, with significant differences amon..., We sampled 90 m transects across forest edges of nine 1-ha openings, using Pacific Bioscience (PacBio) sequencing of EMF from mycorrhizal root tips, and Sanger sequencing of epigeous sporocarps to assess EMF community response. PacBio sequences were analyzed using DADA2 and fungal names were assigned using a combination version 8 of the full UNITE + INSD dataset for eukaryotes and a priori knowledge., , # Data from: Ectomycorrhizal fungal community succession and fragmentation across subalpine forest edges nearly 3 decades postharvest

## Description of the data and file structure

We sampled 90 m transects across forest edges of nine 1-ha openings, using Pacific Bioscience (PacBio) sequencing of EMF from mycorrhizal root tips, and Sanger sequencing of epigeous sporocarps to assess EMF community response. PacBio sequences were analyzed using DADA2 and fungal names were assigned using a combination version 8 of the full UNITE + INSD dataset for eukaryotes and a priori knowledge.

### Files and variables

#### File: Dryad_2_7Sept2025.zip

**Description**: This folder includes all of the data and code used in the preparation of the manuscript.

Code should be run in order of the folders (01-06) and the order given within folders when relevant. Each subfolder has its own README.

Each subfolder (e.g., 01_Bioinformatics) should have the necessary files in “indata” to be run independently of...,