Dark Honey Fungus

Armillaria ostoyae

Dark Honey FungusJerzy Opioła / CC BY-SA 4.0

About this fungus

Dark Honey Fungus is a fungus in the Physalacriaceae family. Its habitat and field characteristics are summarised below.

A robust honey fungus forming dense clusters from conifer roots, stumps or buried wood. Young reddish-brown caps carry dark upright scales, and the stems have a substantial pale ring.

What to check

Look for crowded white to cream gills, a white spore print and a persistent double ring whose underside often has dark scales. Caps become flatter and paler with age while retaining their darkest scales near the centre. Black rhizomorphs may be present under bark or around roots. There is no volva.

Variation

Caps are strongly affected by moisture and age, ranging from deep red-brown to much paler brown. Scales and the ring can wear, so old isolated fruit bodies are harder to name than fresh clusters.

Lookalikes

Other Armillaria overlap closely and may require microscopy or DNA. Armillaria mellea usually lacks the dark scales beneath the ring, while ringless honey fungi lack a true ring. Pholiota species develop rusty-brown gills and spores. Deadly Galerina marginata also has a rusty-brown print rather than white.

Habitat and range

A root pathogen and wood decomposer associated mainly with conifers in Eurasia, with occasional broadleaved hosts. Recent molecular work separates the North American species Armillaria solidipes from Eurasian A. ostoyae, so older North American records under this name need reassessment.

Food safety

Edible, with caution.

Never munch on a hunch
Use this profile to learn what to examine and compare, not as proof that a mushroom is safe to eat. Check the whole specimen and every important lookalike before reaching an identification.

Species to compare

Similar mushrooms to compare against:

Further reading

Wikipedia · First Nature · MushroomExpert.com

A glimpse of the research.

Weather response

Weather added a strong, repeatable signal beyond the usual seasonal pattern in this study.

These are patterns in recorded observations, not rules, forecasts or identification evidence. Local conditions and recording patterns can affect the findings.

Read six species examples →