quietwald.de.com
Mycologist Maps Hidden Fungi Networks in Quietwald Soil

Amir Lange · 1 September 2026

Dr. Lena Hartwig has completed a two-year survey charting mycorrhizal networks beneath Quietwald Forest. Working from 120 fixed plots she collected 620 soil cores and performed DNA metabarcoding to identify 214 fungal taxa. The resulting maps show continuous hyphal pathways linking oak, beech and hornbeam roots across distances exceeding 400 metres. Nutrient-tracer experiments confirmed phosphorus and nitrogen transfer rates averaging 18 percent higher inside mapped networks than in adjacent control zones. Seasonal sampling revealed peak connectivity from September to November coinciding with leaf-fall nutrient pulses.

Sampling Design and Molecular Analysis

Core extraction followed a stratified random grid with 50-metre spacing. Each core was divided into organic, mineral A and mineral B horizons before DNA extraction. Illumina sequencing of the ITS2 region yielded 4.8 million reads clustered into operational taxonomic units. Network topology was reconstructed using graph-theory algorithms that treat shared fungal genotypes as edges between tree nodes. Validation plots re-sampled after twelve months showed 87 percent overlap in dominant taxa, confirming temporal stability. Soil moisture and pH were recorded at every location to correlate abiotic factors with fungal richness.

Ecological Implications and Next Steps

Model projections indicate that removal of network hubs could reduce forest drought resilience by 23 percent within five years. Hartwig recommends retaining coarse woody debris and limiting soil compaction during management operations. A follow-up project will install continuous soil-moisture sensors linked to the existing GIS layer to track climate-driven changes. Collaboration with regional forestry authorities is underway to incorporate network maps into revised silvicultural guidelines. The dataset has been deposited in an open-access repository for use by other researchers studying below-ground forest processes.