Blechnum ambiguum
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Family Blechnaceae
Taxonomy: Blechnum ambiguum (C.Presl) Kaulf. ex C.Chr.
Synonyms: 9 (APC 2026-07-30)
- Blechnopteris ambigua Domin (taxonomic synonym)
- Blechnopteris ambiguum T.C.Chambers & P.A.Farrant (taxonomic synonym)
- Blechnum capense var. acuminatum (C.Presl) Domin (pro parte taxonomic synonym)
- Blechnum procerum var. blechnoides Luerss. (taxonomic synonym)
- Doodia caudata var. lomarina F.Muell. (taxonomic synonym)
- Lomaria ambigua (C.Presl) Fée (nomenclatural synonym)
- Lomaria procera var. blechnoides (Luerss.) Wawra (taxonomic synonym)
- Parablechnum ambiguum C.Presl (nomenclatural synonym)
- Parablechnum procerum var. acuminatum C.Presl (taxonomic synonym)
Misapplied names: 5 (APC 2026-07-30)
- Blechnum capense subsp. laevigatum (Cav.) Domin (misapplied)
- Blechnum capense var. laevigatum (Cav.) Melvaine (misapplied)
- Blechnum laevigatum Cav. (misapplied)
- Orthogramma laevigata (Cav.) C.Presl (misapplied)
- Spicanta laevigata (Cav.) Kuntze (misapplied)
Distribution (APC): Qld, NSW
Profiles: APC, Flora of Australia, ALA, iNaturalist, NSW Flora, ATRP
Traits
Top source datasets: ABRS_2022 (2), ABRS_2023 (14), Kubiak_2009 (4), NHNSW_2022 (2), NHNSW_2023 (7), NSWFRD_2014 (4), Wenk_2022 (2), Wenk_2023 (1). See below for a full list of sources.
Summary: AusTraits contains 15 traits from 36 records in 8 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 (3) [sources: Kubiak_2009; NSWFRD_2014]
- fire_time_from_fire_to_flowering (numerical): 15 mo (15-15 mo) [sources: NSWFRD_2014]
leaf morphology
- leaf_length (numerical): 290.62 mm (15-500 mm) [sources: ABRS_2023; NHNSW_2023]
- leaf_width (numerical): 54.25 mm (8-150 mm) [sources: ABRS_2023]
- leaf_shape (categorical): deltate (1); lanceolate (1); narrowly_lanceolate (1); oblong (1); ovate (1) [sources: ABRS_2023]
- leaf_margin (categorical): entire (1); toothed (1); toothed_dentate (1); toothed_serrate (1) [sources: ABRS_2023; NHNSW_2023]
- leaf_compoundness (categorical): compound (2) [sources: ABRS_2023; NHNSW_2023]
- plant_photosynthetic_organ (categorical): leaf (2) [sources: ABRS_2023; NHNSW_2023]
life history
- plant_growth_form (categorical): fern (3); herb (1) [sources: ABRS_2022; NHNSW_2022; NSWFRD_2014; Wenk_2022]
- life_history (categorical): perennial (1) [sources: Wenk_2023]
- woodiness_detailed (categorical): herbaceous (3) [sources: ABRS_2022; NHNSW_2022; Wenk_2022]
- storage_organ (categorical): rhizome (2) [sources: ABRS_2023; NHNSW_2023]
Sources
| dataset_id | n_traits | n_records | reference |
|---|---|---|---|
| ABRS_2023 | 8 | 14 | 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 | 6 | 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/. |
| Kubiak_2009 | 3 | 4 | P. J. Kubiak. “Fire responses of bushland plants after the January 1994 wildfires in northern Sydney”. Cunninghamia 11.1 (2009), pp. 131-165. |
| NSWFRD_2014 | 4 | 4 | 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. |
| ABRS_2022 | 2 | 2 | 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 | 2 | 2 | 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/. |
| Wenk_2022 | 2 | 2 | E. Wenk. “Unpublished data: Australian plant growth forms dataset”. 2022. |
| Wenk_2023 | 1 | 1 | E. Wenk. “Unpublished data: Australian plant life history dataset, University of New South Wales, Sydney”. 2023. |