Eucalyptus amplifolia
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Family Myrtaceae
Taxonomy: Eucalyptus amplifolia Naudin
Synonyms: none listed in the APC 2026-07-30
Distribution (APC): Qld, NSW
Profiles: APC, Flora of Australia, ALA, iNaturalist, NSW Flora, ATRP
Traits
Top source datasets: ABRS_2022 (3), ABRS_2023 (17), Atkinson_2020_2 (10), Bloomfield_2018 (248), Clarke_2015 (2), Cunningham_1999 (13), Ilic_2000 (1), Kew_2019_1 (2), Lawson_2015 (2), NHNSW_2014_2 (6), NHNSW_2022 (3), NHNSW_2023 (16), Ooi_2007 (101), Rumman_2018 (4), Schulze_2006 (3), Sjostrom_2006 (4), Stephens_2024 (16), Wenk_2022 (2), Wenk_2023 (1), White_2020 (18). See below for a full list of sources.
Summary: AusTraits contains 82 traits from 472 records in 20 datasets.
Traits by category (click to expand). For categorical traits, the values are listed. For numerical traits, the mean and range are shown.
fire response
- resprouting_capacity (categorical): resprouts (1) [sources: Clarke_2015]
flower morphology
- flower_colour (categorical): white_cream (2) [sources: NHNSW_2014_2; Stephens_2024]
- sex_type (categorical): hermaphrodite (1) [sources: Sjostrom_2006]
fruit morphology
- fruit_length (numerical): 4.17 mm (2-6 mm) [sources: ABRS_2023; NHNSW_2023; Stephens_2024]
- fruit_width (numerical): 5.33 mm (3-8 mm) [sources: ABRS_2023; NHNSW_2023; Stephens_2024]
- fruit_height (numerical): 6.5 mm (5-8 mm) [sources: NHNSW_2023]
- fruit_type (categorical): capsule (3) [sources: ABRS_2023; NHNSW_2023; Sjostrom_2006]
- fruit_fleshiness (categorical): dry (1) [sources: Sjostrom_2006]
- fruit_dehiscence (categorical): dehiscent (3) [sources: ABRS_2023; NHNSW_2023; Sjostrom_2006]
leaf morphology
- leaf_area (numerical): 3524.2 mm2 (2561.6-4364 mm2) [sources: Atkinson_2020_2]
- leaf_length (numerical): 152.5 mm (75-250 mm) [sources: ABRS_2023; NHNSW_2023; Stephens_2024]
- leaf_width (numerical): 31.02 mm (13-70 mm) [sources: Cunningham_1999; ABRS_2023; NHNSW_2023; Stephens_2024]
- petiole_length (numerical): 1.9 cm (1.4-2.4 cm) [sources: ABRS_2023]
- leaf_mass_per_area (numerical): 178.14 g/m2 (83.02-215.52 g/m2) [sources: Atkinson_2020_2; Bloomfield_2018; Cunningham_1999; Schulze_2006]
- leaf_dry_matter_content (numerical): 0.48 g/g (0.33-0.52 g/g) [sources: Bloomfield_2018; Cunningham_1999]
- leaf_type (categorical): broadleaf (1) [sources: Rumman_2018]
- leaf_shape (categorical): lanceolate (2); narrowly_ovate (1) [sources: ABRS_2023; NHNSW_2023]
- leaf_margin (categorical): entire (1) [sources: NHNSW_2014_2]
- leaf_compoundness (categorical): simple (2) [sources: ABRS_2023; NHNSW_2023]
- leaf_phyllotaxis (categorical): alternate (2) [sources: ABRS_2023; NHNSW_2014_2]
- plant_photosynthetic_organ (categorical): leaf (2) [sources: ABRS_2023; NHNSW_2023]
life history
- photosynthetic_pathway (categorical): c3 (2) [sources: Cunningham_1999; White_2020]
- plant_growth_form (categorical): tree (5) [sources: ABRS_2022; NHNSW_2022; Rumman_2018; Wenk_2022; White_2020]
- life_history (categorical): perennial (3) [sources: ABRS_2022; NHNSW_2022; Wenk_2023]
- woodiness_detailed (categorical): woody (3) [sources: ABRS_2022; NHNSW_2022; Wenk_2022]
- leaf_phenology (categorical): evergreen (2) [sources: Cunningham_1999; NHNSW_2014_2]
- nitrogen_fixing (categorical): non_nitrogen_fixer (1) [sources: White_2020]
- parasitic (categorical): not_parasitic (1) [sources: White_2020]
- pollination_syndrome (categorical): insect (1) [sources: White_2020]
- dispersal_syndrome (categorical): barochory (1) [sources: White_2020]
- flowering_time (categorical): ynnnnnnnnnyy (1); ynnnnynnnnyy (1) [sources: Stephens_2024; White_2020]
- seedbank_longevity_class (categorical): transient (1) [sources: White_2020]
- seed_dormancy_class (categorical): non_dormant (1) [sources: Ooi_2007]
- vegetative_reproduction_ability (categorical): not_vegetative (2) [sources: NHNSW_2014_2; White_2020]
- bud_bank_location (categorical): epicormic_buds (1) [sources: Clarke_2015]
nutrient and stable isotope
- leaf_N_per_dry_mass (numerical): 16.69 mg/g (15.5-22.87 mg/g) [sources: Bloomfield_2018; Cunningham_1999; Schulze_2006]
- leaf_P_per_dry_mass (numerical): 0.78 mg/g (0.55-1.04 mg/g) [sources: Bloomfield_2018]
- leaf_delta13C (numerical): -28.08 {delta}[ppth] (-28.42--27.73 {delta}[ppth]) [sources: Rumman_2018; Schulze_2006]
physiology
- leaf_photosynthetic_rate_per_area_maximum (numerical): 23.89 umol{CO2}/m2/s (17.35-37.76 umol{CO2}/m2/s) [sources: Bloomfield_2018]
- leaf_photosynthetic_rate_per_dry_mass_maximum (numerical): 0.17 umol{CO2}/g/s (0.08-0.32 umol{CO2}/g/s) [sources: Bloomfield_2018]
- leaf_stomatal_conductance_per_area_at_Amax (numerical): 137.18 mmol{H2O}/m2/s (31.9-263.8 mmol{H2O}/m2/s) [sources: Bloomfield_2018]
seed morphology
- seed_dry_mass (numerical): 1.42 mg (0.09-2.63 mg) [sources: Kew_2019_1; Ooi_2007]
stem morphology
- wood_density (numerical): 0.76 mg/mm3 (0.7-0.87 mg/mm3) [sources: Ilic_2000; Lawson_2015]
whole plant morphology
- plant_height (numerical): 30 m (30-30 m) [sources: ABRS_2023; NHNSW_2023]
- plant_physical_defence_structures (categorical): absent (1) [sources: White_2020]
Sources
| dataset_id | n_traits | n_records | reference |
|---|---|---|---|
| Bloomfield_2018 | 24 | 248 | 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. |
| Ooi_2007 | 2 | 101 | M. K. J. Ooi, P. Myerscough, and T. Auld. “Unpublished data: Longterm seed mass field campaign, University of New South Wales”. 2007. |
| White_2020 | 18 | 18 | M. White, S. Sinclair, and D. Frood. Victorian Vital Attributes Database. database. Department of Environment, Land, Water and Planning, Victoria, 2020. |
| ABRS_2023 | 12 | 17 | Australian Biological Resources Study. Flora of Australia, Australian Biological Resources Study, Canberra.. accessed on 14 September, 2022.. 2023. url: http://www.ausflora.org.au. |
| NHNSW_2023 | 11 | 16 | N. H. of New South Wales. The Plant Information Network System of The Royal Botanic Gardens and Domain Trust Version 2.0.. accessed on 6 May, 2022.. 2023. url: https://plantnet.rbgsyd.nsw.gov.au/. |
| Stephens_2024 | 9 | 16 | R. E. Stephens, H. Sauquet, B. Laugier, C. Gosper, and R. V. Gallagher. “Eucalypt flower size and colour shaped more by pollination than abiotic environment”. in review (2024). |
| Cunningham_1999 | 13 | 13 | S. A. Cunningham, B. Summerhayes, and M. Westoby. “Evolutionary divergences in leaf structure and chemistry, comparing rainfall and soil nutrient gradients”. Ecological Monographs 69 (1999), pp. 569-588. doi: [10.1890/0012-9615(1999)069[0569:EDILSA]2.0.CO;2](https://doi.org/10.1890%2F0012-9615%281999%29069%5B0569%3AEDILSA%5D2.0.CO%3B2). |
| Atkinson_2020_2 | 2 | 10 | J. Atkinson. “Unpublished data: Investigation of how leaf traits may determine ecological restoration outcomes, University of New South Wales”. 2020. |
| NHNSW_2014_2 | 6 | 6 | Royal Botanic Gardens Sydney. PLantNET: NSW flora online. 2014. url: http://plantnet.rbgsyd.nsw.gov.au/. |
| 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. |
| ABRS_2022 | 3 | 3 | Australian Biological Resources Study. Flora of Australia, Australian Biological Resources Study, Canberra.. accessed on 14 September, 2022.. 2022. url: http://www.ausflora.org.au. |
| NHNSW_2022 | 3 | 3 | N. H. of New South Wales. The Plant Information Network System of The Royal Botanic Gardens and Domain Trust Version 2.0.. accessed on 6 May, 2022.. 2022. url: https://plantnet.rbgsyd.nsw.gov.au/. |
| Schulze_2006 | 3 | 3 | E. Schulze, N. C. Turner, D. Nicolle, and J. Schumacher. “Species differences in carbon isotope ratios, specific leaf area and nitrogen concentrations in leaves of Eucalyptus growing in a common garden compared with along an aridity gradient”. Physiologia Plantarum 127.3 (2006), pp. 434-444. doi: 10.1111/j.1399-3054.2006.00682.x. |
| Clarke_2015 | 2 | 2 | P. J. Clarke, M. J. Lawes, B. P. Murphy, J. Russell-Smith, C. E. Nano, R. Bradstock, N. J. Enright, J. B. Fontaine, C. R. Gosper, I. Radford, J. J. Midgley, and R. M. Gunton. “A synthesis of postfire recovery traits of woody plants in Australian ecosystems”. Science of The Total Environment 534 (2015), pp. 31-42. doi: 10.1016/j.scitotenv.2015.04.002. |
| Kew_2019_1 | 1 | 2 | Royal Botanic Gardens Kew. Seed Information Database (SID) and Seed Bank Database. 2019. url: http://data.kew.org/sid/. |
| Lawson_2015 | 1 | 2 | J. R. Lawson, K. A. Fryirs, and M. R. Leishman. “Data from: Hydrological conditions explain wood density in riparian plants of south-eastern Australia”. Dryad Digital Repository (2015). doi: 10.5061/dryad.72h45. |
| Wenk_2022 | 2 | 2 | E. Wenk. “Unpublished data: Australian plant growth forms dataset”. 2022. |
| Ilic_2000 | 1 | 1 | J. Ilic, D. Boland, M. McDonald, D. G, and P. Blakemore. Woody density phase 1 - State of knowledge. National Carbon Accounting System. Technical Report 18. Tech. rep. Australian Greenhouse Office, Canberra, Australia, 2000. |
| Wenk_2023 | 1 | 1 | E. Wenk. “Unpublished data: Australian plant life history dataset, University of New South Wales, Sydney”. 2023. |