Occurrence record: NSW1056304

Preserved specimen of Acacia cognata Domin | Narrow-leaf Bower-wattle recorded on 2018-08-08
   API

Dataset

Data partner Australia's Virtual Herbarium
Data resource NSW AVH feed
Institution code The Royal Botanic Gardens & Domain Trust
Supplied institution code "NSW"
Collection National Herbarium of New South Wales
Supplied collection code "NSW"
Catalog number NSW1056304
Occurrence ID NSW:NSW:NSW1056304
Record type Preserved specimen
Supplied basis "PreservedSpecimen"
Preparations sheet
Identified by McCune, S.F.  
Collector Bell, S.A.J.  
Supplied as "Bell, S.A.J."
Record number 9
Reproductive condition buds
License CC-BY 4.0 (Int)
Establishment means native
Type PhysicalObject
Presence/Absence PRESENT
Supplied as present
Disposition in collection
Occurrence remarks South coast species but "dubious" 1906 record from Pokolbin confirmed. Single plant growing on low ridge, seemingly out of place. See also NSW 1056303. [Ex BIS 20812]
Date identified 2019-05

Event

Occurrence date 2018-08-08
Date precision DAY

Taxonomy

Higher classification Domin
Scientific name Acacia cognata
Supplied scientific name "Acacia cognata Domin"
Identified to rank species
Common name Narrow-leaf Bower-wattle
Kingdom Plantae
Phylum Charophyta
Class Equisetopsida
Order Fabales
Family Fabaceae
Genus Acacia
Species Acacia cognata
Name match metric exactMatch
Scientific name authorship Domin
Name parse type SCIENTIFIC
Nomenclatural code ICN
Verbatim taxon rank species

Geospatial

Country Australia
State or Territory New South Wales
Locality 10 m in off DeBeyers Road, Pokolbin, Pokolbin State Forest.
Latitude -32.785133
Supplied as: "-32.785133"
Longitude 151.261408
Supplied as: "151.261408"
Datum EPSG:4326
Supplied datum: "EPSG:4283"
Verbatim coordinate system UTM
Coordinate precision Unknown
Georeference sources Map
County North Coast
Terrestrial true
Biome TERRESTRIAL
Marine false
Country Code AU
Verbatim SRS EPSG:28356
Verbatim coordinates Z56 337185E 6371195N

User flagged issues 

    Referenced in publications

    Publication: Curated Plant and Invertebrate Data for Bushfire Modelling

    DOI https://doi.org/10.25919/tm4m-5a46

    This data asset contains observations of individual plants and animals (“occurrences”) sourced from the Atlas of Living Australia. Data on vascular plants are based on the following paper: Godfree et al. (2021) Implications of the 2019-2020 Megafires for the Biogeography and Conservation of Australian Vegetation. Nature Communications 12: 1023 https://doi.org/10.1038/s41467-021-21266-5 Data on invertebrates are from the following report: Marsh et al. (2021) Threatened species hub report: Assessment of the impacts of the 2019-20 wildfires on southern and eastern Australia on invertebrate species. NESP Threatened Species Recovery Hub Project 8.3.1 Final report, Brisbane. Both studies were performed to understand the impacts of the Australian “Black Summer” (2019-20) fires on the taxonomic group in question. Consequently, this aggregated dataset is designed to support off-the-shelf bushfire impact modelling, and to provide useful context for associated biodiversity conservation work. A total of 896 species of vascular plants and 44,146 invertebrate species. The combined data asset was produced by the Science & Decision Support Team at the Atlas of living Australia (ALA) in collaboration with the authors of the original data sets. This was done as part of an Australian Research Data Commons (ARDC) bushfire data challenges project. The data contained in this deposition has been cleaned by researchers and taxonomists to ensure it is of high quality. Therefore, compared to data returned by the ALA, the unique record ID’s may return a different species or location than is denoted in this data set: these records have potentially been changed by the authors of the data to reflect what they believe is correct.

    Version of the data used in the publication
    Scientific nameAcacia cognata
    Decimal latitude-32.785133
    Decimal longitude151.261408
    Year2018
    Month8

    View all data referenced by this publication

    Data quality tests

    Test name Result
    Coordinate uncertainty meters invalid Warning
    Show/Hide 97 passed properties
    Show/Hide 4 missing properties
    Show/Hide 22 tests that have not been run

    Additional political boundaries information

    Area Management
    GER Hunter Valley GER Hunter Valley
    GER National Corridor GER National Corridor
    Great Eastern Ranges Initiative GER Great Eastern Ranges Initiative
    Hunter Analysis Mask GER Hunter Analysis Mask
    NRM Regions 2010 Hunter-Central Rivers
    NRM Regions 2017 Hunter
    Area management
    National Landcare Program Management Units 2018 Hunter
    Biodiversity
    IBRA 6 Regions Sydney Basin
    IBRA 7 Regions Sydney Basin
    IBRA 7 Subregions Hunter
    Hydrology
    Drainage Divisions Level 1 South East Coast (NSW)
    Drainage Divisions Level 2 HUNTER RIVER
    Marine
    States including coastal waters New South Wales (including Coastal Waters)
    Political
    ASGS Australian States and Territories New South Wales
    Australian States and Territories New South Wales
    Local Government Areas 2011 Cessnock (C)
    Local Government Areas 2012 deprecated Cessnock
    Local Government Areas PSMA 2018 CESSNOCK CITY COUNCIL
    NSW Local Land Services Regions Hunter
    PSMA ABS Census Indigenous Language Speakers by Area - I01B (2016) 16
    PSMA ABS Census Selected Person Characteristics by Indigenous Status by Area - I01A (2016) 4012
    PSMA ABS Greater Capital City Statistical Areas (2016) REST OF NSW
    PSMA ABS SA2 Statistical Areas (2016) BRANXTON - GRETA - POKOLBIN
    PSMA ABS SA3 Statistical Areas (2016) LOWER HUNTER
    PSMA ABS SA4 Statistical Areas (2016) HUNTER VALLEY EXC NEWCASTLE
    PSMA Commonwealth Electoral Boundaries (2018) HUNTER
    PSMA Indigenous Areas (2016) CESSNOCK
    PSMA Indigenous Locations (2016) CESSNOCK - SURROUNDS
    PSMA Indigenous Regions (2016) NSW CENTRAL AND NORTH COAST
    PSMA Remoteness Areas (2016) Inner Regional Australia
    PSMA State Electoral Boundaries (2018) LEGISLATIVE COUNCIL
    PSMA States (2016) NEW SOUTH WALES
    World Country Boundaries Australia
    Vegetation
    Australia's Indigenous forest estate (2013) v2.0 Non-Indigenous, Non forest
    Forests of Australia (2013) v2.0 Non Forest
    Forests of Australia 2018B Other native forest
    NVIS 4.1 Major Vegetation Groups Cleared, non-native vegetation, buildings
    NVIS 4.1 Major Vegetation Subgroups Cleared, non-native vegetation, buildings
    Tenure of Australia's forests (2013) v2.0 Private Freehold
    Vegetation types - native Eucalypt woodlands
    Vegetation types - present cleared, non-native vegetation, buildings

    Environmental sampling for this location

    Climate
    Precipitation - annual (Bio12) 797.0 mm
    Precipitation - coldest quarter (Bio19) 121.0 mm
    Precipitation - driest period (Bio14) 7.0 mm
    Precipitation - driest quarter (Bio17) 115.0 mm
    Precipitation - seasonality (Bio15) 36.0 mm
    Precipitation - warmest quarter (Bio18) 273.0 mm
    Precipitation - wettest period (Bio13) 27.0 mm
    Precipitation - wettest quarter (Bio16) 297.0 mm
    Radiation - annual mean (Bio20) 17.4 MJ/m2/day
    Radiation - seasonality (Bio23) 31.0
    Radiation - warmest quarter (Bio26) 23.2 MJ/m2/day
    Temperature - annual mean (Bio01) 16.9 degrees C
    Temperature - annual range (Bio07) 24.7 degrees C
    Temperature - coldest period min (Bio06) 4.5 degrees C
    Temperature - coldest quarter mean (Bio11) 11.1 degrees C
    Temperature - diurnal range mean (Bio02) 12.2 degrees C
    Temperature - driest quarter mean (Bio09) 11.5 degrees C
    Temperature - isothermality (Bio03) 0.5 %
    Temperature - seasonality (Bio04) 1.51
    Temperature - warmest period max (Bio05) 29.1 degrees C
    Temperature - warmest quarter (Bio10) 22.3 degrees C
    Temperature - wettest quarter mean (Bio08) 21.8 degrees C
    WorldClim 2.1: Temperature - annual mean 17.158333 °C
    WorldClim: Temperature - isothermality 49.0 %
    Substrate
    Moisture Index - annual mean (Bio28) 0.57
    Moisture Index - highest quarter mean (Bio32) 0.72
    Elevation 193.0 m