AusTraits

Pomaderris canescens

Explore the data for this taxon in the portal

Family Rhamnaceae

Taxonomy: Pomaderris canescens (Benth.) N.A.Wakef.

Synonyms: 1 (APC 2026-07-30)
  • Pomaderris ferruginea var. canescens Benth. (basionym)

Distribution (APC): Qld

Profiles: APC, Flora of Australia, ALA, iNaturalist, ATRP

Traits

Top source datasets: Kew_2019_1 (1), Sjostrom_2006 (4), Tng_2013 (5), Wenk_2022 (2), Wenk_2023 (1). See below for a full list of sources.
Summary: AusTraits contains 13 traits from 13 records in 5 datasets.

Traits by category (click to expand). For categorical traits, the values are listed. For numerical traits, the mean and range are shown.

flower morphology
  • sex_type (categorical): hermaphrodite (1) [sources: Sjostrom_2006]
fruit morphology
leaf morphology
  • leaf_area (numerical): 1388 mm2 (1388-1388 mm2) [sources: Tng_2013]
  • leaf_mass_per_area (numerical): 163.81 g/m2 (163.81-163.81 g/m2) [sources: Tng_2013]
life history
nutrient and stable isotope
  • leaf_delta13C (numerical): -30.25 {delta}[ppth] (-30.25--30.25 {delta}[ppth]) [sources: Tng_2013]
seed morphology
stem morphology
  • wood_density (numerical): 0.78 mg/mm3 (0.78-0.78 mg/mm3) [sources: Tng_2013]

Sources

dataset_idn_traitsn_recordsreference
Tng_201355D. Y. P. Tng, G. J. Jordan, and D. M. J. S. Bowman. “Plant traits demonstrate that temperate and tropical giant Eucalypt forests are ecologically convergent with rainforest not savanna”. PLoS ONE 8 (2013), p. e84378. doi: 10.1371/journal.pone.0084378.
Sjostrom_200644A. Sjöström and C. L. Gross. “Life-history characters and phylogeny are correlated with extinction risk in the Australian angiosperms”. Journal of Biogeography 33.2 (2006), pp. 271-290. doi: 10.1111/j.1365-2699.2005.01393.x.
Wenk_202222E. Wenk. “Unpublished data: Australian plant growth forms dataset”. 2022.
Kew_2019_111Royal Botanic Gardens Kew. Seed Information Database (SID) and Seed Bank Database. 2019. url: http://data.kew.org/sid/.
Wenk_202311E. Wenk. “Unpublished data: Australian plant life history dataset, University of New South Wales, Sydney”. 2023.