Rhagodia spinescens
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Family Chenopodiaceae
Taxonomy: Rhagodia spinescens R.Br.
Synonyms: 5 (APC 2026-07-30)
- Chenopodium spinescens (R.Br.) S.Fuentes & Borsch (nomenclatural synonym)
- Rhagodia deltophylla (F.Muell.) A.J.Scott (taxonomic synonym)
- Rhagodia deltophylla F.Muell. (taxonomic synonym)
- Rhagodia spinescens R.Br. var. spinescens (nomenclatural synonym)
- Rhagodia spinescens var. deltophylla F.Muell. (taxonomic synonym)
Distribution (APC): WA, NT, SA, Qld, NSW, Vic
Profiles: APC, Flora of Australia, ALA, iNaturalist, NSW Flora, NT eFlora, SA eFlora, Vic Flora, Florabase, ATRP
Traits
Top source datasets: ABRS_2022 (4), ABRS_2023 (10), Clarke_2015 (3), Crowley_2007 (2), Curtis_2012 (14), Dong_2017 (8), Draper_2023 (4), Fonseca_2000 (25), Jurado_1991 (5), Kew_2019_1 (1), Kew_2019_5 (1), Leishman_1992 (7), McGlone_2015 (6), Munroe_2019 (1), NHNSW_2014_2 (2), NHNSW_2022 (4), NHNSW_2023 (7), NSWFRD_2014 (2), NTH_2022 (4), NTH_2023 (9), Nano_2011 (4), RBGV_2022 (4), RBGV_2023 (19), RussellSmith_2012 (4), SAH_2022 (4), SAH_2023 (11), Sjostrom_2006 (4), Soliveres_2012 (2), Sweedman_2006 (2), Vesk_2004 (13), Vesk_2019 (15), WAH_2022_2 (3), WAH_2023_2 (2), Wenk_2022 (2), Wenk_2023 (1), White_2020 (19), Wright_2000 (10). See below for a full list of sources.
Summary: AusTraits contains 75 traits from 238 records in 37 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 (3) [sources: Clarke_2015; Crowley_2007; NSWFRD_2014; Nano_2011; RussellSmith_2012; Vesk_2004; White_2020]
- post_fire_recruitment (categorical): post_fire_recruitment (1); post_fire_recruitment_absent (1) [sources: Clarke_2015; Nano_2011]
flower morphology
- flower_colour (categorical): pink (1) [sources: NHNSW_2014_2]
- sex_type (categorical): dioecious (6) [sources: ABRS_2022; Draper_2023; NHNSW_2022; RBGV_2022; SAH_2022; Sjostrom_2006]
fruit morphology
- fruit_width (numerical): 3.5 mm (3-4 mm) [sources: RBGV_2023]
- fruit_height (numerical): 3.5 mm (3-4 mm) [sources: RBGV_2023]
- fruit_type (categorical): berry (5); nutlet (1) [sources: ABRS_2023; NHNSW_2023; RBGV_2023; SAH_2023; Sjostrom_2006; Wright_2000]
- fruit_fleshiness (categorical): dry (1); fleshy (2) [sources: Sjostrom_2006; Soliveres_2012; Wright_2000]
- fruit_dehiscence (categorical): indehiscent (2) [sources: Sjostrom_2006; Wright_2000]
- fruit_colour (categorical): pink (3); red (4) [sources: ABRS_2023; NHNSW_2023; NTH_2023; SAH_2023]
leaf morphology
- leaf_area (numerical): 53.94 mm2 (4.5-107.2 mm2) [sources: Curtis_2012; Fonseca_2000; Jurado_1991; Leishman_1992]
- leaf_length (numerical): 13.32 mm (5-20 mm) [sources: Curtis_2012; McGlone_2015; ABRS_2023; NTH_2023; RBGV_2023; SAH_2023]
- leaf_width (numerical): 7.79 mm (1.7-17 mm) [sources: Curtis_2012; Fonseca_2000; McGlone_2015; NTH_2023; RBGV_2023]
- leaf_dry_mass (numerical): 5.86 mg (1-11 mg) [sources: Curtis_2012; Fonseca_2000]
- leaf_mass_per_area (numerical): 115.67 g/m2 (76.92-166.65 g/m2) [sources: Curtis_2012; Dong_2017; Fonseca_2000; Vesk_2004]
- leaf_dry_matter_content (numerical): 0.16 g/g (0.13-0.2 g/g) [sources: Curtis_2012; Vesk_2004]
- leaf_shape (categorical): deltate (3); obovate (1); ovate (5); triangular (2) [sources: ABRS_2023; NHNSW_2023; NTH_2023; RBGV_2023; SAH_2023]
- leaf_compoundness (categorical): simple (5) [sources: ABRS_2023; McGlone_2015; NHNSW_2023; RBGV_2023; SAH_2023]
- leaf_phyllotaxis (categorical): alternate (1); opposite (5) [sources: ABRS_2023; NHNSW_2023; NTH_2023; RBGV_2023; SAH_2023]
- plant_photosynthetic_organ (categorical): leaf (5) [sources: ABRS_2023; NHNSW_2023; NTH_2023; RBGV_2023; SAH_2023]
life history
- photosynthetic_pathway (categorical): c3 (2) [sources: Munroe_2019; White_2020]
- plant_growth_form (categorical): shrub (14); subshrub (3) [sources: ABRS_2022; Curtis_2012; Fonseca_2000; Jurado_1991; Leishman_1992; McGlone_2015; NHNSW_2022; NSWFRD_2014; NTH_2022; RBGV_2022; SAH_2022; Soliveres_2012; Vesk_2004; Vesk_2019; WAH_2022_2; Wenk_2022; White_2020]
- life_history (categorical): perennial (9) [sources: ABRS_2022; Curtis_2012; Leishman_1992; NHNSW_2022; NTH_2022; RBGV_2022; SAH_2022; WAH_2022_2; Wenk_2023]
- woodiness_detailed (categorical): woody (7) [sources: ABRS_2022; NHNSW_2022; NTH_2022; RBGV_2022; SAH_2022; WAH_2022_2; Wenk_2022]
- stem_growth_habit (categorical): dense (1); prostrate (1) [sources: NHNSW_2014_2; NTH_2022]
- nitrogen_fixing (categorical): non_nitrogen_fixer (2) [sources: Dong_2017; White_2020]
- parasitic (categorical): not_parasitic (1) [sources: White_2020]
- pollination_syndrome (categorical): abiotic (1); insect (1); wind (1) [sources: Draper_2023; White_2020]
- dispersal_syndrome (categorical): endozoochory (1); epizoochory (1); zoochory (1) [sources: Draper_2023; Kew_2019_5; White_2020]
- dispersers (categorical): birds (1); vertebrates (1) [sources: Draper_2023; White_2020]
- flowering_time (categorical): yyyynnnnnnnn (1) [sources: White_2020]
- seedbank_longevity_class (categorical): persistent (1); transient (1) [sources: RussellSmith_2012; White_2020]
- vegetative_reproduction_ability (categorical): not_vegetative (1) [sources: White_2020]
- storage_organ (categorical): no_storage_organ (1) [sources: Leishman_1992]
- bud_bank_location (categorical): basal_stem_buds (3) [sources: Clarke_2015; Crowley_2007; Nano_2011]
nutrient and stable isotope
- leaf_N_per_dry_mass (numerical): 28.94 mg/g (28.94-28.94 mg/g) [sources: Dong_2017]
- leaf_delta13C (numerical): -25.14 {delta}[ppth] (-25.14--25.14 {delta}[ppth]) [sources: Dong_2017]
seed morphology
- seed_dry_mass (numerical): 1.71 mg (0.58-2.83 mg) [sources: Kew_2019_1; Leishman_1992]
- seed_width (numerical): 1.75 mm (1.5-2 mm) [sources: RBGV_2023]
- seed_shape (categorical): lenticular (1) [sources: SAH_2023]
whole plant morphology
- plant_height (numerical): 1.55 m (0.3-3 m) [sources: ABRS_2023; Leishman_1992; McGlone_2015; NHNSW_2023; NTH_2023; RBGV_2023; SAH_2023; WAH_2023_2]
- plant_physical_defence_structures (categorical): sharp_pointed_defence (1) [sources: White_2020]
Sources
| dataset_id | n_traits | n_records | reference |
|---|---|---|---|
| Fonseca_2000 | 5 | 25 | 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. |
| RBGV_2023 | 13 | 19 | VicFlora. Flora of Victoria, Royal Botanic Gardens Victoria. accessed on 6 May, 2022.. 2023. url: https://vicflora.rbg.vic.gov.au/. |
| White_2020 | 19 | 19 | M. White, S. Sinclair, and D. Frood. Victorian Vital Attributes Database. database. Department of Environment, Land, Water and Planning, Victoria, 2020. |
| Vesk_2019 | 3 | 15 | 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. |
| Curtis_2012 | 14 | 14 | E. M. Curtis, A. Leigh, and S. Rayburg. “Relationships among leaf traits of Australian arid zone plants: alternative modes of thermal protection”. Australian Journal of Botany 60.6 (2012), pp. 471-483. doi: 10.1071/bt11284. |
| 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. |
| SAH_2023 | 10 | 11 | S. H. of South Australia. eFlora of SA, Electronic Flora of South Australia. accessed on 6 May, 2022.. 2022. url: http://www.flora.sa.gov.au/. |
| ABRS_2023 | 9 | 10 | Australian Biological Resources Study. Flora of Australia, Australian Biological Resources Study, Canberra.. accessed on 14 September, 2022.. 2023. url: http://www.ausflora.org.au. |
| Wright_2000 | 10 | 10 | 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. |
| NTH_2023 | 7 | 9 | D. of Land Resource Management and N. T. of Australia. Northern Territory Flora Online. accessed on 6 May, 2022.. 2022. url: http://eflora.nt.gov.au/. |
| Dong_2017 | 8 | 8 | 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. |
| 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. |
| NHNSW_2023 | 7 | 7 | 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/. |
| McGlone_2015 | 6 | 6 | M. S. McGlone, S. J. Richardson, G. J. Jordan, and G. L. Perry. “Is there a `suboptimal' woody species height? A response to Scheffer et al.”. Trends in Ecology & Evolution 30.1 (2015), pp. 4-5. doi: 10.1016/j.tree.2014.09.007. |
| Jurado_1991 | 5 | 5 | E. Jurado. “Diaspore weight, dispersal, growth form and perenniality of central Australian plants”. Journal of Ecology 79 (1991), pp. 811-828. |
| ABRS_2022 | 4 | 4 | Australian Biological Resources Study. Flora of Australia, Australian Biological Resources Study, Canberra.. accessed on 14 September, 2022.. 2022. url: http://www.ausflora.org.au. |
| Draper_2023 | 4 | 4 | J. T. Draper, S. Delean, J. G. Conran, P. Weinstein, and B. S. Simpson. “Life-history characteristics and climate correlates of dioecious plant species in central southern Australia”. Australian Journal of Botany unknown.unknown (2023), p. unknown. doi: 10.1071/BT22110. |
| 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/. |
| NTH_2022 | 4 | 4 | D. of Land Resource Management and N. T. of Australia. Northern Territory Flora Online. accessed on 6 May, 2022.. 2022. url: http://eflora.nt.gov.au/. |
| Nano_2011 | 3 | 4 | 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. |
| 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. |
| SAH_2022 | 4 | 4 | S. H. of South Australia. eFlora of SA, Electronic Flora of South Australia. accessed on 6 May, 2022.. 2022. url: http://www.flora.sa.gov.au/. |
| 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. |
| 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. |
| 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). |
| NHNSW_2014_2 | 2 | 2 | Royal Botanic Gardens Sydney. PLantNET: NSW flora online. 2014. url: http://plantnet.rbgsyd.nsw.gov.au/. |
| NSWFRD_2014 | 2 | 2 | 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. |
| Soliveres_2012 | 2 | 2 | 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. |
| Sweedman_2006 | 2 | 2 | L. Sweedman and D. Merritt. Australian Seeds: A Guide to Their Collection, Identification, and Biology. CSIRO Publishing, 2006. ISBN: 9780643094079. |
| 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. |
| Kew_2019_1 | 1 | 1 | Royal Botanic Gardens Kew. Seed Information Database (SID) and Seed Bank Database. 2019. url: http://data.kew.org/sid/. |
| 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/. |
| Munroe_2019 | 1 | 1 | S. E. M. Munroe, F. A. McInerney, J. Andrae, N. Welti, G. R. Guerin, E. Leitch, T. Hall, S. Szarvas, R. Atkins, S. Caddy-Retalic, and B. Sparrow. “The Photosynthetic Pathways of Plant Species Surveyed in Australia's National Terrestrial Monitoring Network”. Scientific Data 8 (2021), p. 97. doi: 10.1038/s41597-021-00877-z. |
| Wenk_2023 | 1 | 1 | E. Wenk. “Unpublished data: Australian plant life history dataset, University of New South Wales, Sydney”. 2023. |