Sighting 3397990
Pambula, NSW
Identification history
| Polypore sp. | 28 Jul 2020 | Pam | ||
| Polypore sp. | 28 Jul 2020 | Pam | ||
| Laetiporus portentosus | 13 May 2018 | DeanAnsell |
Identify this sighting
Please Login or Register to identify this sighting.
3 comments
Teresa
wrote:
15 May 2018
Dean, can you give me more information on this one please? Was the tree living or dead? What size where the pores? Laetiporus portentosus is usually much thicker with a chamois - like biscuit brown top and a yellowish or pale lemon pore surface when young which is quite thick and is a good food source for many insect larvae which leave it riddled with holes and tunnels. I'm thinking yours may be one of the Perenniporia species, but I am not 100% sure of this
DeanAnsell
wrote:
18 May 2018
Hi Teresa, It was growing on a dead eucalypt stump. I walk past there occasionally so I'll check the pore size next time. Happy for you to put in in the 'unknown' bin for now!
Pam
wrote:
28 Jul 2020
Laetiporus portentosus grow on living trees therefore as you state it was on a dead eucalypt stump that rules that one out sorry. As a definite identification can't be given at this stage it will be safer to place it under Polypore sp. There is a great lack of research and knowledge of Australian polypores unfortunately. Regardless it is useful to have records of what is being found in the region. Hopefully in the future with more knowledge we may be able to start and put some names on these species. Thank you for your contributions.
Location information
- Coordinates 149.888290-36.944813
- Altitude 26.0m
- Maps Ben Boyd National Park
- Places Pambula, NSW
Sighting information
- 1 Abundance
- 13 May 2018 09:55 AM Recorded on
- DeanAnsell Recorded by
-
Collections
Fungi Shelf-like to hoof-like & usually on wood Pored or somewhat maze-like on underside [bracket polypores] DeanAnsell South Coast NatureMapr
Species information
- Polypore sp. Scientific name
- Common name
- Not Sensitive
- Local native
- Non-invasive or negligible
- Up to 655.53m Recorded at altitude
- Machine learning
