Prunus turneriana

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Family Rosaceae

Taxonomy: Prunus turneriana (F.M.Bailey) Kalkman

Synonyms: 1 (APC 2026-07-30)

Pygeum turnerianum F.M.Bailey (basionym)

Distribution (APC): Qld

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

Traits

Top source datasets: Bloomfield_2018 (249), Cooper_2013 (14), Gross_2005 (4), Grubb_2008 (3), Kanowski_2000 (90), Kew_2019_1 (3), Kew_2019_4 (1), Kooyman_2011 (14), Rumman_2018 (4), Sams_2017 (5), Sjostrom_2006 (4), Wells_2012 (111), Wenk_2022 (2), Wenk_2023 (1), Wright_2000 (1), eFLOWER_Dun_2022 (13). See below for a full list of sources.
Summary: AusTraits contains 91 traits from 519 records in 16 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): dioecious (2) [sources: Gross_2005; Sjostrom_2006]

fruit morphology

fruit_length (numerical): 28 mm (17-39 mm) [sources: Cooper_2013]
fruit_width (numerical): 27.5 mm (18-37 mm) [sources: Cooper_2013]
fruit_type (categorical): drupe (4) [sources: Cooper_2013; Gross_2005; Sams_2017; Sjostrom_2006]
fruit_fleshiness (categorical): fleshy (5) [sources: Cooper_2013; Gross_2005; Sams_2017; Sjostrom_2006; Wells_2012]
fruit_dehiscence (categorical): indehiscent (4) [sources: Cooper_2013; Gross_2005; Sams_2017; Sjostrom_2006]

leaf morphology

leaf_area (numerical): 7312.66 mm2 (2490.81-11440 mm2) [sources: Kanowski_2000; Wells_2012]
leaf_length (numerical): 132.5 mm (65-200 mm) [sources: Kooyman_2011]
leaf_width (numerical): 75 mm (30-120 mm) [sources: Kooyman_2011]
leaf_dry_mass (numerical): 641.03 mg (98.82-1723.12 mg) [sources: Wells_2012]
leaf_mass_per_area (numerical): 88.18 g/m2 (35.4-159.4 g/m2) [sources: Bloomfield_2018; Grubb_2008; Kanowski_2000; Sams_2017; Wells_2012]
leaf_dry_matter_content (numerical): 0.39 g/g (0.27-0.48 g/g) [sources: Bloomfield_2018; Wells_2012]
leaf_water_content_per_dry_mass (numerical): 1.5 g/g (1.5-1.5 g/g) [sources: Grubb_2008]
leaf_type (categorical): broadleaf (1) [sources: Rumman_2018]
leaf_lobation (categorical): unlobed (1) [sources: Kooyman_2011]
leaf_compoundness (categorical): simple (1) [sources: Kooyman_2011]

life history

plant_growth_form (categorical): tree (5) [sources: Cooper_2013; Kooyman_2011; Rumman_2018; Wells_2012; Wenk_2022]
life_history (categorical): perennial (1) [sources: Wenk_2023]
woodiness_detailed (categorical): woody (1) [sources: Wenk_2022]
leaf_phenology (categorical): evergreen (1) [sources: Kooyman_2011]
pollination_syndrome (categorical): bee (1) [sources: Wells_2012]
dispersers (categorical): bats (1); birds (1); flying_vertebrates (1); mammals (1) [sources: Cooper_2013; Sams_2017; Wells_2012]
flowering_time (categorical): yyyyyynnnnny (1) [sources: Cooper_2013]

nutrient and stable isotope

leaf_N_per_dry_mass (numerical): 15.99 mg/g (12.67-18.49 mg/g) [sources: Bloomfield_2018; Grubb_2008; Kanowski_2000]
leaf_P_per_dry_mass (numerical): 1.32 mg/g (0.62-1.69 mg/g) [sources: Bloomfield_2018; Kanowski_2000]
leaf_delta13C (numerical): -32.98 {delta}[ppth] (-32.98--32.98 {delta}[ppth]) [sources: Rumman_2018]

physiology

leaf_photosynthetic_rate_per_area_maximum (numerical): 17.26 umol{CO2}/m2/s (9.31-25.1 umol{CO2}/m2/s) [sources: Bloomfield_2018]
leaf_photosynthetic_rate_per_dry_mass_maximum (numerical): 0.15 umol{CO2}/g/s (0.09-0.22 umol{CO2}/g/s) [sources: Bloomfield_2018]
leaf_stomatal_conductance_per_area_at_Amax (numerical): 126.33 mmol{H2O}/m2/s (26.6-322.4 mmol{H2O}/m2/s) [sources: Bloomfield_2018]

seed morphology

seed_dry_mass (numerical): 2852.33 mg (1567-3990 mg) [sources: Kew_2019_1]
seed_length (numerical): 22 mm (14-30 mm) [sources: Cooper_2013; Kooyman_2011]
seed_width (numerical): 11 mm (10-12 mm) [sources: Kooyman_2011]

stem morphology

wood_density (numerical): 0.42 mg/mm3 (0.34-0.47 mg/mm3) [sources: Kooyman_2011; Wells_2012]

whole plant morphology

plant_height (numerical): 30 m (30-30 m) [sources: Cooper_2013; Kooyman_2011]

Sources

dataset_id	n_traits	n_records	reference
Bloomfield_2018	24	249	K. J. Bloomfield, L. A. Cernusak, D. Eamus, D. S. Ellsworth, I. C. Prentice, I. J. Wright, M. M. Boer, M. G. Bradford, P. Cale, J. Cleverly, J. J. G. Egerton, B. J. Evans, L. S. Hayes, M. F. Hutchinson, M. J. Liddell, C. Macfarlane, W. S. Meyer, S. M. Prober, H. F. Togashi, T. Wardlaw, L. Zhu, and O. K. Atkin. “A continental-scale assessment of variability in leaf traits: Within species, across sites and between seasons”. Functional Ecology 32.6 (2018), pp. 1492-1506. doi: 10.1111/1365-2435.13097.
Wells_2012	22	111	J. A. Wells. “Phylogeny and inter-relations of ecological traits and seed dispersal in rainforest plants: Exploring aspects of functional diversity in primary and secondary rainforests in Australia's Wet Tropics.”. PhD. University of Queensland, 2012.
Kanowski_2000	23	90	J. Kanowski. “Ecological determinants of the distribution and abundance of the folivorous marsupials endemic to the rainforests of the Atherton uplands, north Queensland.”. PhD. James Cook University, Townsville, 1999.
Cooper_2013	11	14	W. Cooper and W. T. Cooper. Australian rainforest fruits. CSIRO Publishing, 2013, p. 272.
Kooyman_2011	10	14	R. Kooyman, M. Rossetto, W. Cornwell, and M. Westoby. “Phylogenetic tests of community assembly across regional to continental scales in tropical and subtropical rain forests”. Global Ecology and Biogeography 20 (2011), pp. 707-716. doi: 10.1111/j.1466-8238.2010.00641.x.
eFLOWER_Dun_2022	10	13	L. Dun and H. Sauquet. “Unpublished: Floral traits for GAP taxa, University of New South Wales, Australia”. 2022.
Sams_2017	5	5	M. A. Sams, H. R. Lai, S. P. Bonser, P. A. Vesk, R. M. Kooyman, D. J. Metcalfe, J. W. Morgan, and M. M. Mayfield. “Landscape context explains changes in the functional diversity of regenerating forests better than climate or species richness”. Global Ecology and Biogeography 26.10 (2017), pp. 1165-1176. doi: 10.1111/geb.12627.
Gross_2005	4	4	C. L. Gross. “A comparison of the sexual systems in the trees from the Australian tropics with other tropical biomes-more monoecy but why?”. American Journal of Botany 92.6 (2005), pp. 907-919. doi: 10.3732/ajb.92.6.907.
Rumman_2018	4	4	R. Rumman, O. K. Atkin, K. J. Bloomfield, and D. Eamus. “Variation in bulk-leaf 13C discrimination, leaf traits and wateruse efficiency-trait relationships along a continental-scale climate gradient in Australia”. Global Change Biology 24 (2018), pp. 1186-1200. doi: 10.1111/gcb.13911.
Sjostrom_2006	4	4	A. 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.
Grubb_2008	3	3	P. J. Grubb, R. V. Jackson, I. M. Barberis, J. N. Bee, D. A. Coomes, N. J. Dominy, M. A. S. D. L. Fuente, P. W. Lucas, D. J. Metcalfe, J. Svenning, I. M. Turner, and O. Vargas. “Monocot leaves are eaten less than dicot leaves in tropical lowland rain forests: Correlations with toughness and leaf presentation”. Annals of Botany 101 (2008), pp. 1379-1389. doi: 10.1093/aob/mcn047.
Kew_2019_1	1	3	Royal Botanic Gardens Kew. Seed Information Database (SID) and Seed Bank Database. 2019. url: http://data.kew.org/sid/.
Wenk_2022	2	2	E. Wenk. “Unpublished data: Australian plant growth forms dataset”. 2022.
Kew_2019_4	1	1	Royal Botanic Gardens Kew. Oil content data from Seed Information Database (SID) and Seed Bank Database. 2019. url: http://data.kew.org/sid/.
Wenk_2023	1	1	E. Wenk. “Unpublished data: Australian plant life history dataset, University of New South Wales, Sydney”. 2023.
Wright_2000	1	1	I. J. Wright, H. T. Clifford, R. Kidson, M. L. Reed, B. L. Rice, and M. Westoby. “A survey of seed and seedling characters in 1744 Australian dicotyledon species: Cross-species trait correlations and correlated trait-shifts within evolutionary lineages”. Biological Journal of the Linnean Society 69 (2000), pp. 521-547. doi: 10.1111/j.1095-8312.2000.tb01222.x.