Carpentaria acuminata

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Family Arecaceae

Taxonomy: Carpentaria acuminata (H.Wendl. & Drude) Becc.

Synonyms: 1 (APC 2026-07-30)

Kentia acuminata H.Wendl. & Drude (basionym)

Distribution (APC): NT

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

Traits

Top source datasets: ABRS_2022 (3), ABRS_2023 (10), ATRP_2020 (1), Brock_1993 (5), Clarke_2015 (3), Crowley_2007 (2), Kew_2019_5 (1), Nano_2011 (2), RussellSmith_2012 (4), Schmidt_2003 (14), Sjostrom_2006 (4), Wenk_2022 (2), Wenk_2023 (1), eFLOWER_Dun_2022 (14). See below for a full list of sources.
Summary: AusTraits contains 45 traits from 66 records in 14 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) [sources: Clarke_2015; Crowley_2007; Nano_2011; RussellSmith_2012]
post_fire_recruitment (categorical): post_fire_recruitment (1) [sources: Clarke_2015]

flower morphology

flower_colour (categorical): white_cream (1); yellow_orange (1) [sources: eFLOWER_Dun_2022]
sex_type (categorical): monoecious (1) [sources: Sjostrom_2006]

fruit morphology

fruit_type (categorical): drupe (1) [sources: Sjostrom_2006]
fruit_fleshiness (categorical): fleshy (1) [sources: Sjostrom_2006]
fruit_dehiscence (categorical): indehiscent (1) [sources: Sjostrom_2006]
fruit_colour (categorical): red (1) [sources: ABRS_2023]

leaf morphology

leaf_length (numerical): 4000 mm (4000-4000 mm) [sources: ABRS_2023]
leaf_dry_matter_content (numerical): 0.05 g/g (0.05-0.05 g/g) [sources: Schmidt_2003]
leaf_compoundness (categorical): compound (1) [sources: ABRS_2023]
leaf_lamina_division (categorical): palmately_compound (1) [sources: Brock_1993]
leaf_lamina_posture (categorical): recurved (1) [sources: ABRS_2023]
plant_photosynthetic_organ (categorical): leaf (1) [sources: ABRS_2023]

life history

photosynthetic_pathway (categorical): c3 (1) [sources: Schmidt_2003]
plant_growth_form (categorical): palmoid (4); tree (1) [sources: ABRS_2022; ATRP_2020; Brock_1993; Schmidt_2003; Wenk_2022]
life_history (categorical): perennial (4) [sources: ABRS_2022; Brock_1993; Schmidt_2003; Wenk_2023]
woodiness_detailed (categorical): semi_woody (1); woody (1) [sources: ABRS_2022; Wenk_2022]
leaf_phenology (categorical): evergreen (1) [sources: Schmidt_2003]
nitrogen_fixing (categorical): non_nitrogen_fixer (1) [sources: Schmidt_2003]
root_structure (categorical): arbuscular_mycorrhizal (1) [sources: Schmidt_2003]
dispersal_syndrome (categorical): zoochory (1) [sources: Kew_2019_5]
flowering_time (categorical): ynnnnnnnyyyy (1) [sources: Brock_1993]
seedbank_longevity_class (categorical): transient (1) [sources: RussellSmith_2012]
bud_bank_location (categorical): none (3) [sources: Clarke_2015; Crowley_2007; Nano_2011]

nutrient and stable isotope

leaf_N_per_dry_mass (numerical): 14 mg/g (14-14 mg/g) [sources: Schmidt_2003]
leaf_delta13C (numerical): -34.05 {delta}[ppth] (-34.05--34.05 {delta}[ppth]) [sources: Schmidt_2003]

seed morphology

seed_length (numerical): 15 mm (15-15 mm) [sources: ABRS_2023]
seed_width (numerical): 15 mm (15-15 mm) [sources: ABRS_2023]
seed_shape (categorical): globoid (1) [sources: ABRS_2023]

whole plant morphology

plant_height (numerical): 30 m (30-30 m) [sources: ABRS_2023; Brock_1993]

Sources

dataset_id	n_traits	n_records	reference
Schmidt_2003	11	14	S. Schmidt and G. R. Stewart. “d15N values of tropical savanna and monsoon forest species reflect root specialisations and soil nitrogen status”. Oecologia 134 (2003), pp. 569-577. doi: 10.1007/s00442-002-1150-y.
eFLOWER_Dun_2022	10	14	L. Dun and H. Sauquet. “Unpublished: Floral traits for GAP taxa, University of New South Wales, Australia”. 2022.
ABRS_2023	10	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.
Brock_1993	5	5	J. Brock and A. Dunlop. Native plants of northern Australia. Reed New Holland, 1993. ISBN: 9781877069246.
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.
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.
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.
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).
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.
Wenk_2022	2	2	E. Wenk. “Unpublished data: Australian plant growth forms dataset”. 2022.
ATRP_2020	1	1	F. A. Zich, B. P. Hyland, T. Whiffin, and R. A. Kerrigan. Australian Tropical Rainforest Plants, Edition 8. 2020. url: https://apps.lucidcentral.org/rainforest/text/intro/index.html.
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.