Senna artemisioides subsp. x coriacea
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Family Fabaceae
Taxonomy: Senna artemisioides subsp. x coriacea (Benth.) Randell
Synonyms: 8 (APC 2026-07-30)
- Cassia eremophila A.Cunn. ex Vogel (taxonomic synonym)
- Cassia eremophila A.Cunn. ex Vogel var. eremophila (taxonomic synonym)
- Cassia eremophila var. coriacea (Benth.) Symon (nomenclatural synonym)
- Cassia nemophila A.Cunn. ex Vogel (taxonomic synonym)
- Cassia nemophila A.Cunn. ex Vogel var. nemophila (taxonomic synonym)
- Cassia nemophila var. coriacea (Benth.) Symon (nomenclatural synonym)
- Cassia sturtii var. coriacea Benth. (nomenclatural synonym)
- Senna form taxon 'coriacea' (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_1981 (2), ABRS_2022 (3), ABRS_2023 (19), Chen_2017 (4), Clarke_2015 (6), Dong_2017 (16), Farrell_2017 (38), Jurado_1991 (5), Jurado_1992 (3), Leishman_1992 (7), Moles_2003 (4), NHNSW_2022 (3), NHNSW_2023 (16), Nano_2011 (2), Pate_1998 (6), RBGK_2014 (1), RBGV_2022 (3), RBGV_2023 (14), RussellSmith_2012 (4), SAH_2022 (3), SAH_2023 (15), Soliveres_2012 (3), Stewart_1995 (9), WAH_2022_2 (3), WAH_2023_2 (2), Wenk_2022 (2), Wenk_2023 (1), White_2020 (171), Wright_2000 (6). See below for a full list of sources.
Summary: AusTraits contains 68 traits from 371 records in 29 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 (9); resprouts (4) [sources: Clarke_2015; Nano_2011; RussellSmith_2012; White_2020]
- post_fire_recruitment (categorical): post_fire_recruitment (1); post_fire_recruitment_absent (2) [sources: Clarke_2015; Nano_2011]
fruit morphology
- fruit_length (numerical): 40 mm (30-50 mm) [sources: ABRS_2023; NHNSW_2023]
- fruit_width (numerical): 11 mm (10-12 mm) [sources: ABRS_2023; NHNSW_2023]
- fruit_type (categorical): legume (5) [sources: ABRS_2023; Chen_2017; NHNSW_2023; RBGV_2023; SAH_2023]
- fruit_fleshiness (categorical): dry (1) [sources: Chen_2017]
- fruit_dehiscence (categorical): dehiscent (1) [sources: Chen_2017]
leaf morphology
- leaf_area (numerical): 23 mm2 (23-23 mm2) [sources: Jurado_1991; Leishman_1992]
- leaf_length (numerical): 16.19 mm (3-50 mm) [sources: ABRS_2023; NHNSW_2023; RBGV_2023; SAH_2023]
- leaf_width (numerical): 3.62 mm (2-6 mm) [sources: ABRS_2023; NHNSW_2023; RBGV_2023; SAH_2023]
- petiole_length (numerical): 1.05 cm (0.6-1.5 cm) [sources: RBGV_2023]
- leaf_mass_per_area (numerical): 254.45 g/m2 (230.75-278.14 g/m2) [sources: Dong_2017]
- leaf_type (categorical): broadleaf (1) [sources: Stewart_1995]
- leaf_shape (categorical): elliptical (4); linear (4); linear_elliptical (1); narrowly_oblanceolate (1); oblanceolate (1); oblong (1); obovate (4); terete (2) [sources: ABRS_2023; NHNSW_2023; RBGV_2023; SAH_2023]
- leaf_margin_posture (categorical): revolute (2) [sources: ABRS_2023; NHNSW_2023]
- leaf_compoundness (categorical): compound (4) [sources: ABRS_2023; SAH_2023]
- leaf_lamina_posture (categorical): flat (1) [sources: RBGV_2023]
- leaf_glaucousness (categorical): glaucous (1) [sources: RBGV_2023]
- leaf_phyllotaxis (categorical): alternate (4) [sources: ABRS_2023; NHNSW_2023; RBGV_2023]
- plant_photosynthetic_organ (categorical): leaf (6); phyllode (1) [sources: ABRS_2023; NHNSW_2023; RBGV_2023; SAH_2023]
life history
- photosynthetic_pathway (categorical): c3 (11) [sources: Pate_1998; Stewart_1995; White_2020]
- plant_growth_form (categorical): shrub (21); tree (4) [sources: ABRS_2022; Jurado_1991; Leishman_1992; Moles_2003; NHNSW_2022; Pate_1998; RBGV_2022; SAH_2022; Soliveres_2012; Stewart_1995; WAH_2022_2; Wenk_2022; White_2020]
- life_history (categorical): perennial (9) [sources: ABRS_2022; Leishman_1992; Moles_2003; NHNSW_2022; Pate_1998; RBGV_2022; SAH_2022; WAH_2022_2; Wenk_2023]
- woodiness_detailed (categorical): woody (6) [sources: ABRS_2022; NHNSW_2022; RBGV_2022; SAH_2022; WAH_2022_2; Wenk_2022]
- leaf_phenology (categorical): evergreen (2) [sources: ABRS_1981; Stewart_1995]
- nitrogen_fixing (categorical): nitrogen_fixer (11); non_nitrogen_fixer (2) [sources: Dong_2017; Pate_1998; Stewart_1995; White_2020]
- parasitic (categorical): not_parasitic (9) [sources: White_2020]
- pollination_syndrome (categorical): insect (9) [sources: White_2020]
- dispersal_syndrome (categorical): barochory (1); epizoochory (9); myrmecochory (1) [sources: Jurado_1991; Soliveres_2012; White_2020]
- dispersers (categorical): ants (1); birds (9) [sources: Soliveres_2012; White_2020]
- flowering_time (categorical): nnnnnyyynnnn (1); nnnnnyyyyyyn (9) [sources: ABRS_1981; White_2020]
- seedbank_longevity_class (categorical): persistent (10) [sources: RussellSmith_2012; White_2020]
- seed_viability (numerical): 0.4 {count}/{count} (0.4-0.4 {count}/{count}) [sources: Moles_2003]
- vegetative_reproduction_ability (categorical): not_vegetative (9) [sources: White_2020]
- storage_organ (categorical): no_storage_organ (1) [sources: Leishman_1992]
- bud_bank_location (categorical): basal_stem_buds (2) [sources: Clarke_2015]
nutrient and stable isotope
- leaf_N_per_dry_mass (numerical): 15.43 mg/g (13.76-17.11 mg/g) [sources: Dong_2017]
- leaf_delta13C (numerical): -25.23 {delta}[ppth] (-25.6--24.84 {delta}[ppth]) [sources: Dong_2017; Pate_1998; Stewart_1995]
seed morphology
- seed_dry_mass (numerical): 20.58 mg (20.55-20.61 mg) [sources: Leishman_1992; RBGK_2014]
- seed_shape (categorical): ovoid (2); ovoid_elongated (1) [sources: RBGV_2023; SAH_2023]
whole plant morphology
- plant_height (numerical): 2.5 m (0.6-3 m) [sources: ABRS_2023; Leishman_1992; NHNSW_2023; WAH_2023_2]
- plant_physical_defence_structures (categorical): absent (9) [sources: White_2020]
Sources
| dataset_id | n_traits | n_records | reference |
|---|---|---|---|
| White_2020 | 19 | 171 | M. White, S. Sinclair, and D. Frood. Victorian Vital Attributes Database. database. Department of Environment, Land, Water and Planning, Victoria, 2020. |
| Farrell_2017 | 6 | 38 | C. Farrell, C. Szota, and S. K. Arndt. “Does the turgor loss point characterize drought response in dryland plants?”. Plant, Cell & Environment 40.8 (2017), pp. 1500-1511. doi: 10.1111/pce.12948. |
| ABRS_2023 | 12 | 19 | Australian Biological Resources Study. Flora of Australia, Australian Biological Resources Study, Canberra.. accessed on 14 September, 2022.. 2023. url: http://www.ausflora.org.au. |
| Dong_2017 | 8 | 16 | 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. |
| NHNSW_2023 | 10 | 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/. |
| SAH_2023 | 7 | 15 | 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/. |
| RBGV_2023 | 11 | 14 | VicFlora. Flora of Victoria, Royal Botanic Gardens Victoria. accessed on 6 May, 2022.. 2023. url: https://vicflora.rbg.vic.gov.au/. |
| Stewart_1995 | 6 | 9 | G. Stewart, M. Turnbull, S. Schmidt, and P. Erskine. “13C natural abundance in plant communities along a rainfall gradient: a biological integrator of water availability”. Functional Plant Biology 22.1 (1995), pp. 51-55. doi: 10.1071/pp9950051. |
| 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. |
| Clarke_2015 | 3 | 6 | 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. |
| 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. |
| Wright_2000 | 5 | 6 | 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. |
| 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. |
| Chen_2017 | 4 | 4 | Chen, S.-C., Cornwell, W., Z. H.-X., Moles, and A. T. “Plants show more flesh in the tropics: Variation in fruit type along latitudinal and climatic gradients.”. Ecography 40 (2017), pp. 531-538. doi: abs/10.1111/ecog.02010. |
| Moles_2003 | 4 | 4 | A. T. Moles, D. I. Warton, and M. Westoby. “Seed size and survival in the soil in arid Australia”. Austral Ecology 28.5 (2003), pp. 575-585. doi: 10.1046/j.1442-9993.2003.01314.x. |
| 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. |
| 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. |
| Jurado_1992 | 1 | 3 | E. Jurado and M. Westoby. “Germination biology of selected central Australian plants”. Austral Ecology 17.3 (1992), pp. 341-348. doi: 10.1111/j.1442-9993.1992.tb00816.x. |
| 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/. |
| RBGV_2022 | 3 | 3 | VicFlora. Flora of Victoria, Royal Botanic Gardens Victoria. accessed on 6 May, 2022.. 2022. url: https://vicflora.rbg.vic.gov.au/. |
| SAH_2022 | 3 | 3 | 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/. |
| 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/. |
| ABRS_1981 | 2 | 2 | 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/. |
| Nano_2011 | 2 | 2 | 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. |
| 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. |
| RBGK_2014 | 1 | 1 | Royal Botanic Gardens Kew. Seed Information Database (SID). 2014. 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. |