Sighting 4249354
A polypore at Ngunnawal, ACT
Identification history
| Phellinus sp. (non-resupinate) | 21 Aug 2020 | Heino1 | ||
| Unidentified | 4 Feb 2020 | Bioparticles |
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5 comments
Heino1
wrote:
5 Feb 2020
Perhaps a Phellinus but I wonder if it's an aged/grotty Laetiporus portentosus, with a markedly yellowish colour cast because of smoke.
Pam
wrote:
5 Feb 2020
That's a possibility, though the amount of that apparently soft textured brown on the upper sections and towards the point of attachment, particularly with the most immature speciment at the base of the image and the colour on the pore surface make me lean towards a Phellinus sp.. Whereas I find L. portentosus tends to lean more to grey tones on the upper surface with pale pores. Also the lack of obvious insect damage I would expect on an aged specimen of this species. Even the ones that have been uploaded recently that have been damaged by fire still show that pale colour of the context through the singed sections.
KenT
wrote:
5 Feb 2020
It looks to be growing on some long dead wood based on the colour and deep fissures rather than a recently deceased tree or branch but hard to tell for sure from this image. I don't recall seeing Laetiporus portentosus on old dead standing timber - but that might be saying more about my memory then the habit of the fungus.
Bioparticles
wrote:
5 Feb 2020
It is definitely old dead wood (a stump with one or two cutoff main branches coming out of it). I can take further pictures if that might help? It was on the underside of one of the branches in permanent shade.
Location information
- Coordinates 149.111111-35.161667
- Places Ngunnawal, ACT
Sighting information
- 2 Abundance
- 4 Feb 2020 02:57 PM Recorded on
- Bioparticles Recorded by
-
Collections
Fungi Shelf-like to hoof-like & usually on wood Pored or somewhat maze-like on underside [bracket polypores]
Species information
- Phellinus sp. (non-resupinate) Scientific name
- A polypore Common name
- Not Sensitive
- Local native
- Non-invasive or negligible
- Up to 971.15m Recorded at altitude
- Machine learning
