Dodonaea viscosa subsp. angustissima
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Family Sapindaceae
Taxonomy: Dodonaea viscosa subsp. angustissima (DC.) J.G.West
Synonyms: 11 (APC 2026-07-30)
- Dodonaea angustissima DC. (nomenclatural synonym)
- Dodonaea attenuata A.Cunn. (taxonomic synonym)
- Dodonaea attenuata A.Cunn. var. attenuata (taxonomic synonym)
- Dodonaea attenuata var. denticulata (F.Muell.) Radlk. (taxonomic synonym)
- Dodonaea attenuata var. linearis Benth. (taxonomic synonym)
- Dodonaea attenuata var. subintegra (Benth.) Radlk. (taxonomic synonym)
- Dodonaea denticulata F.Muell. (taxonomic synonym)
- Dodonaea preissiana Miq. (taxonomic synonym)
- Dodonaea ptarmicifolia var. subintegra Benth. (taxonomic synonym)
- Dodonaea sp. (Mt Bangalora P.I.Forster PIF3051) (taxonomic synonym)
- Dodonaea sp. (Mt Bangalora P.I.Forster+ PIF3051) (taxonomic synonym)
Distribution (APC): WA, NT, SA, Qld, NSW, ACT, Vic
Profiles: APC, Flora of Australia, ALA, iNaturalist, NSW Flora, NT eFlora, SA eFlora, Vic Flora, Florabase, ATRP
Traits
Top source datasets: ABRS_1981 (1), ABRS_2022 (5), ABRS_2023 (13), ANBG_2019 (5), Bloomfield_2018 (200), Cheal_2017 (5), Clarke_2015 (3), Crowley_2007 (2), Cunningham_1999 (16), Doherty_2021 (3), Dong_2017 (23), Fonseca_2000 (9), Kew_2019_1 (2), Kew_2019_5 (1), Kew_2019_6 (5), Leishman_1992 (7), McCarthy_2017 (10), Morgan_2005 (5), NHNSW_2022 (4), NHNSW_2023 (12), NSWFRD_2014 (6), Nano_2011 (7), Onoda_2010 (32), Pate_1998 (6), Pickup_2005 (5), RBGV_2022 (4), RBGV_2023 (12), RussellSmith_2012 (4), Soliveres_2012 (3), Vesk_2004 (13), Vesk_2019 (10), WAH_2022_2 (3), WAH_2023_2 (2), Wenk_2022 (2), Wenk_2023 (1), White_2020 (36), Wright_2001 (2), Wright_2002 (70), Yang_2023 (4), Zanne_2007 (30). See below for a full list of sources.
Summary: AusTraits contains 118 traits from 583 records in 40 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): fire_killed (4); partial_resprouting (1); resprouts (5) [sources: Cheal_2017; Clarke_2015; Crowley_2007; Doherty_2021; NSWFRD_2014; Nano_2011; RussellSmith_2012; Vesk_2004; Yang_2023]
- post_fire_recruitment (categorical): post_fire_recruitment (4) [sources: Clarke_2015; NSWFRD_2014; Nano_2011; Yang_2023]
flower morphology
- sex_type (categorical): dioecious (1) [sources: ABRS_2022]
fruit morphology
- fruit_type (categorical): capsule (3) [sources: ABRS_2023; NHNSW_2023; RBGV_2023]
- fruit_dehiscence (categorical): dehiscent (2) [sources: ABRS_2023; NHNSW_2023]
- fruit_colour (categorical): green (1) [sources: ABRS_2023]
leaf morphology
- leaf_area (numerical): 170.21 mm2 (19.3-957.41 mm2) [sources: Fonseca_2000; Leishman_1992; McCarthy_2017; Morgan_2005; Pickup_2005; Wright_2002]
- leaf_length (numerical): 62.5 mm (30-95 mm) [sources: ABRS_2023; NHNSW_2023; RBGV_2023]
- leaf_width (numerical): 2.02 mm (0.1-6 mm) [sources: Cunningham_1999; Fonseca_2000; ABRS_2023; NHNSW_2023; RBGV_2023]
- leaf_dry_mass (numerical): 8.5 mg (5-12 mg) [sources: Fonseca_2000]
- leaf_mass_per_area (numerical): 183.17 g/m2 (74.24-248.76 g/m2) [sources: Bloomfield_2018; Cunningham_1999; Dong_2017; Fonseca_2000; McCarthy_2017; Morgan_2005; Pickup_2005; Vesk_2004; Wright_2002; Zanne_2007]
- leaf_area_ratio (numerical): 2.95 mm2/mg (2.95-2.95 mm2/mg) [sources: Pickup_2005]
- leaf_dry_matter_content (numerical): 0.39 g/g (0.24-0.6 g/g) [sources: Bloomfield_2018; Cunningham_1999; Vesk_2004]
- leaf_shape (categorical): linear (3); narrowly_oblanceolate (1); narrowly_oblong (3); oblanceolate (2) [sources: ABRS_2023; NHNSW_2023; RBGV_2023]
- leaf_base_shape (categorical): attenuate (1) [sources: ABRS_2023]
- leaf_margin (categorical): toothed (1); toothed_dentate (2) [sources: ABRS_2023; NHNSW_2023; RBGV_2023]
- leaf_compoundness (categorical): simple (3) [sources: ABRS_2023; NHNSW_2023; RBGV_2023]
- leaf_phyllotaxis (categorical): alternate (1) [sources: NHNSW_2023]
- plant_photosynthetic_organ (categorical): leaf (3) [sources: ABRS_2023; NHNSW_2023; RBGV_2023]
life history
- photosynthetic_pathway (categorical): c3 (2); cam (2) [sources: Cunningham_1999; Pate_1998; White_2020]
- plant_growth_form (categorical): shrub (14) [sources: ABRS_2022; Fonseca_2000; Leishman_1992; NHNSW_2022; NSWFRD_2014; Pate_1998; RBGV_2022; Soliveres_2012; Vesk_2004; Vesk_2019; WAH_2022_2; Wenk_2022; White_2020]
- life_history (categorical): perennial (8) [sources: ABRS_2022; Cheal_2017; Leishman_1992; NHNSW_2022; Pate_1998; RBGV_2022; WAH_2022_2; Wenk_2023]
- woodiness_detailed (categorical): woody (5) [sources: ABRS_2022; NHNSW_2022; RBGV_2022; WAH_2022_2; Wenk_2022]
- stem_growth_habit (categorical): erect (3) [sources: ABRS_2022; NHNSW_2022; RBGV_2022]
- leaf_phenology (categorical): evergreen (2) [sources: ABRS_1981; Cunningham_1999]
- nitrogen_fixing (categorical): non_nitrogen_fixer (6) [sources: Cunningham_1999; Dong_2017; Pate_1998; White_2020]
- parasitic (categorical): not_parasitic (2) [sources: White_2020]
- pollination_syndrome (categorical): abiotic (2) [sources: White_2020]
- dispersal_syndrome (categorical): anemochory (2); myrmecochory (1); zoochory (2) [sources: Kew_2019_5; Soliveres_2012; White_2020; Yang_2023]
- dispersers (categorical): ants (1); birds (1); wind (2) [sources: Soliveres_2012; White_2020; Yang_2023]
- flowering_time (categorical): nnnnnnnyyyyn (2) [sources: White_2020]
- seedbank_location (categorical): soil_seedbank (2) [sources: Doherty_2021; NSWFRD_2014]
- seedbank_longevity_class (categorical): persistent (5) [sources: NSWFRD_2014; Nano_2011; RussellSmith_2012; White_2020]
- vegetative_reproduction_ability (categorical): not_vegetative (2) [sources: White_2020]
- storage_organ (categorical): no_storage_organ (1) [sources: Leishman_1992]
- bud_bank_location (categorical): basal_stem_buds (3); none (1) [sources: Clarke_2015; Crowley_2007; Doherty_2021; Nano_2011]
nutrient and stable isotope
- leaf_N_per_dry_mass (numerical): 15.86 mg/g (10.68-23.72 mg/g) [sources: Bloomfield_2018; Cunningham_1999; Dong_2017; Wright_2002]
- leaf_P_per_dry_mass (numerical): 1.01 mg/g (0.55-1.21 mg/g) [sources: Bloomfield_2018; Wright_2002]
- leaf_delta13C (numerical): -26.52 {delta}[ppth] (-29.66--23.46 {delta}[ppth]) [sources: Dong_2017; Pate_1998; Wright_2002]
physiology
- leaf_photosynthetic_rate_per_area_maximum (numerical): 18.39 umol{CO2}/m2/s (11.04-37.94 umol{CO2}/m2/s) [sources: Bloomfield_2018]
- leaf_photosynthetic_rate_per_dry_mass_maximum (numerical): 0.14 umol{CO2}/g/s (0.08-0.3 umol{CO2}/g/s) [sources: Bloomfield_2018]
- leaf_stomatal_conductance_per_area_at_Amax (numerical): 72.84 mmol{H2O}/m2/s (30.5-147.2 mmol{H2O}/m2/s) [sources: Bloomfield_2018]
seed morphology
- seed_dry_mass (numerical): 5.42 mg (2.49-8.55 mg) [sources: ANBG_2019; Kew_2019_1; Leishman_1992; Wright_2001]
- seed_shape (categorical): lenticular (1) [sources: RBGV_2023]
stem morphology
- wood_density (numerical): 0.98 mg/mm3 (0.83-1.09 mg/mm3) [sources: Morgan_2005; Onoda_2010; Pickup_2005; Zanne_2007]
- huber_value (numerical): 0 mm2{sapwood}/mm2{leaf} (0-0 mm2{sapwood}/mm2{leaf}) [sources: Pickup_2005; Zanne_2007]
whole plant morphology
- plant_height (numerical): 3.3 m (1-4 m) [sources: ABRS_2023; Leishman_1992; NHNSW_2023; RBGV_2023; WAH_2023_2]
- plant_physical_defence_structures (categorical): absent (2) [sources: White_2020]
Sources
| dataset_id | n_traits | n_records | reference |
|---|---|---|---|
| Bloomfield_2018 | 24 | 200 | 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. |
| Wright_2002 | 35 | 70 | I. J. Wright and M. Westoby. “Leaves at low versus high rainfall: Coordination of structure, lifespan and physiology”. New Phytologist 155 (2002), pp. 403-416. doi: 10.1046/j.1469-8137.2002.00479.x. |
| White_2020 | 18 | 36 | M. White, S. Sinclair, and D. Frood. Victorian Vital Attributes Database. database. Department of Environment, Land, Water and Planning, Victoria, 2020. |
| Onoda_2010 | 7 | 32 | Y. Onoda, A. E. Richards, and M. Westoby. “The relationship between stem biomechanics and wood density is modified by rainfall in 32 Australian woody plant species”. New Phytologist 185.2 (2009), pp. 493-501. doi: 10.1111/j.1469-8137.2009.03088.x. |
| Zanne_2007 | 6 | 30 | A. Zanne. “Unpublished data: Hydraulic traits for NSW plant species from four field sites, Macquarie University”. 2007. |
| Dong_2017 | 8 | 23 | N. Dong, I. C. Prentice, B. J. Evans, S. Caddy-Retalic, A. J. Lowe, and I. J. Wright. “Leaf nitrogen from first principles: field evidence for adaptive variation with climate”. Biogeosciences 14.2 (2017), pp. 481-495. doi: 10.5194/bg-14-481-2017. |
| Cunningham_1999 | 16 | 16 | 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). |
| ABRS_2023 | 11 | 13 | Australian Biological Resources Study. Flora of Australia, Australian Biological Resources Study, Canberra.. accessed on 14 September, 2022.. 2023. url: http://www.ausflora.org.au. |
| Vesk_2004 | 5 | 13 | P. A. Vesk, M. R. Leishman, and M. Westoby. “Simple traits do not predict grazing response in Australian dry shrublands and woodlands”. Journal of Applied Ecology 41.1 (2004), pp. 22-31. doi: 10.1111/j.1365-2664.2004.00857.x. |
| NHNSW_2023 | 10 | 12 | 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/. |
| RBGV_2023 | 10 | 12 | VicFlora. Flora of Victoria, Royal Botanic Gardens Victoria. accessed on 6 May, 2022.. 2023. url: https://vicflora.rbg.vic.gov.au/. |
| McCarthy_2017 | 2 | 10 | J. K. McCarthy, J. M. Dwyer, and K. Mokany. “A regional-scale assessment of using metabolic scaling theory to predict ecosystem properties”. Proceedings of the Royal Society B: Biological Sciences 286.1915 (2019), p. 20192221. doi: 10.1098/rspb.2019.2221. |
| Vesk_2019 | 3 | 10 | P. A. Vesk and J. D. L. Yen. “Plant resprouting: How many sprouts and how deep? Flexible modelling of multispecies experimental disturbances.”. Perspectives in Plant Ecology, Evolution and Systematics 41 (2019), p. 125497. doi: 10.1016/j.ppees.2019.125497. |
| Fonseca_2000 | 5 | 9 | C. R. Fonseca, J. M. Overton, B. Collins, and M. Westoby. “Shifts in trait-combinations along rainfall and phosphorus gradients”. Journal of Ecology 88 (2000), pp. 964-977. doi: 10.1046/j.1365-2745.2000.00506.x. |
| Leishman_1992 | 7 | 7 | M. R. Leishman and M. Westoby. “Classifying plants into groups on the basis of associations of individual traits-Evidence from Australian semi-arid woodlands”. Journal of Ecology 80 (1992), pp. 417-424. doi: 10.2307/2260687. |
| Nano_2011 | 6 | 7 | C. E. M. Nano and P. J. Clarke. “How do drought and fire influence the patterns of resprouting in Australian deserts?”. Plant Ecology 212 (2011), pp. 2095-2110. doi: 10.1007/s11258-011-9988-x. |
| NSWFRD_2014 | 6 | 6 | B. Kenny, C. Orscheg, E. Tasker, M. A. Gill, and R. Bradstock. NSW Flora Fire Response Database, v2.1. database. NSW Department of Planning Industry and Environment, 2014. |
| Pate_1998 | 6 | 6 | J. S. Pate, M. J. Unkovich, P. D. Erskine, and G. R. Stewart. “Australian mulga ecosystems- 13C and 15N natural abundances of biota components and their ecophysiological significance”. Plant, Cell and Environment 21.12 (1998), pp. 1231-1242. doi: 10.1046/j.1365-3040.1998.00359.x. |
| ABRS_2022 | 5 | 5 | Australian Biological Resources Study. Flora of Australia, Australian Biological Resources Study, Canberra.. accessed on 14 September, 2022.. 2022. url: http://www.ausflora.org.au. |
| ANBG_2019 | 2 | 5 | Australian National Botanic Gardens. The National Seed Bank. 2018. url: http://www.anbg.gov.au/gardens/living/seedbank/. |
| Cheal_2017 | 5 | 5 | D. Cheal. Growth stages and tolerable fire intervals for Victoria's native vegetation data sets. Fire and adaptive management, report no. 84. Victorian Government Department of Sustainability and Environment Melbourne, 2010. |
| Kew_2019_6 | 1 | 5 | Royal Botanic Gardens Kew. Germination data from the Seed Information Database (SID) and Seed Bank Database. 2019. url: http://data.kew.org/sid/. |
| Morgan_2005 | 5 | 5 | H. Morgan. “Root system architecture, water use and rainfall responses of perennial species”. PhD. Macquarie University, 2005. |
| Pickup_2005 | 5 | 5 | M. Pickup, M. Westoby, and A. Basden. “Dry mass costs of deploying leaf area in relation to leaf size”. Functional Ecology 19.1 (2005), pp. 88-97. doi: 10.1111/j.0269-8463.2005.00927.x. |
| NHNSW_2022 | 4 | 4 | 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/. |
| RBGV_2022 | 4 | 4 | VicFlora. Flora of Victoria, Royal Botanic Gardens Victoria. accessed on 6 May, 2022.. 2022. url: https://vicflora.rbg.vic.gov.au/. |
| RussellSmith_2012 | 4 | 4 | J. Russell-Smith, M. R. Gardener, C. Brock, K. Brennan, C. P. Yates, and B. Grace. “Fire persistence traits can be used to predict vegetation response to changing fire regimes at expansive landscape scales - an Australian example”. Journal of Biogeography 39 (2012), pp. 1657-1668. doi: 10.1111/j.1365-2699.2012.02714.x. |
| Yang_2023 | 4 | 4 | S. Yang. “Unpublished data: Fire response traits scored from national and state floras and the taxonomic literature, University of New South Wales”. 2023. |
| Clarke_2015 | 3 | 3 | 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. |
| Doherty_2021 | 3 | 3 | M. Doherty. “Fire Severity and Plant Community Dynamics in the Australian Alps, Southeastern New South Wales”. PhD. Australian National University, 2021. url: http://hdl.handle.net/1885/224564. |
| Soliveres_2012 | 3 | 3 | S. Soliveres, D. J. Eldridge, F. Hemmings, and F. T. Maestre. “Nurse plant effects on plant species richness in drylands: The role of grazing, rainfall and species specificity”. Perspectives in Plant Ecology, Evolution and Systematics 14 (2012), pp. 402-410. doi: 10.1016/j.ppees.2012.09.003. |
| WAH_2022_2 | 3 | 3 | Western Australian Herbarium. Florabase—the Western Australian Flora.. accessed on 14 September, 2022.. 2022. url: https://florabase.dpaw.wa.gov.au/. |
| Crowley_2007 | 2 | 2 | G. Crowley, M. Gardener, and M. Marrinan. Tropical savannas fire response database. 2007. url: [www.landmanager.org.au](www.landmanager.org.au). |
| Kew_2019_1 | 1 | 2 | Royal Botanic Gardens Kew. Seed Information Database (SID) and Seed Bank Database. 2019. url: http://data.kew.org/sid/. |
| WAH_2023_2 | 1 | 2 | Western Australian Herbarium. Florabase—the Western Australian Flora.. accessed on 14 September, 2022.. 2023. url: https://florabase.dpaw.wa.gov.au/. |
| Wenk_2022 | 2 | 2 | E. Wenk. “Unpublished data: Australian plant growth forms dataset”. 2022. |
| Wright_2001 | 2 | 2 | I. J. Wright. “Unpublished data: Seed mass reserve data for various species in NSW, Macquarie University”. 2001. |
| ABRS_1981 | 1 | 1 | B. A. Barlow, H. T. Clifford, A. S. George, and A. K. A. McCusker. Flora of Australia. 1981. url: http://www.environment.gov.au/biodiversity/abrs/online-resources/flora/main/. |
| Kew_2019_5 | 1 | 1 | Royal Botanic Gardens Kew. Seed dispersal data from the 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. |