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OZCAM (Online Zoo-log-i-cal Col-lec-tions of Aus-tralian Muse-ums) pro-vides access to an online data-base of records aggre-gated from fau-nal col-lec-tions data-bases in Aus-tralian museums.

Occurrence record: invertebrates:E46784

Preserved specimen of Clanculus flagellatus (Philippi, 1849) | Top Snail recorded on 2007-09-18
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Dataset

Data partner OZCAM (Online Zoological Collections of Australian Museums) Provider
Data resource Tasmanian Museum and Art Gallery provider for OZCAM
Institution code Tasmanian Museum and Art Gallery
Supplied institution code "TMAG"
Collection Tasmanian Museum and Art Gallery Invertebrate Collection
Supplied collection code "invertebrates"
Catalog number E46784
Occurrence ID TMAG: E46784
Record type Preserved specimen
Supplied basis "PreservedSpecimen"
Identified by S.J. Grove  
Collector S.J. Grove
Individual count 2.0
License CC-BY 4.0 (Int)
Presence/Absence PRESENT
Supplied as present
Sampling protocol [By hand]
Dataset / Survey name [S.J. Grove Tasmanian seashells collection]
Occurrence remarks shore-based record
Date identified 2020-06-19

Event

Dataset / Survey name S.J. Grove Tasmanian seashells collection  
Occurrence date 2007-09-18
Sampling protocol By hand  
End day of year 261
Date precision DAY
Start day of year 261

Taxonomy

Scientific name Clanculus flagellatus
Original name usage Clanculus flagellatus
Identified to rank species
Common name Top Snail
Kingdom Animalia
Phylum Mollusca
Class Gastropoda
Order Trochida
Family Trochidae
Genus Clanculus
Species Clanculus flagellatus
Name match metric exactMatch
Scientific name authorship (Philippi, 1849)
Name parse type SCIENTIFIC

Geospatial

Country Australia
State or Territory Tasmania
Locality Bicheno: Waubs Beach
Latitude -41.8722
Supplied as: "-41.8722"
Longitude 148.3025
Supplied as: "148.3025"
Datum EPSG:4326
Supplied datum: "GDA94"
Coordinate precision 0.0001
Coordinate uncertainty (in metres) 100.0
Terrestrial true
Biome TERRESTRIAL
Marine false
Country Code AU

Additional properties

verbatim identification Clanculus flagellatus

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 nameClanculus flagellatus
    Decimal latitude-41.8722
    Decimal longitude148.3025
    Year2007

    View all data referenced by this publication

    Data quality tests

    Test name Result
    Individual count invalid Warning
    Show/Hide 97 passed properties
    Show/Hide 5 missing properties
    Show/Hide 21 tests that have not been run

    Additional political boundaries information

    Area Management
    IMCRA v4.0 Meso-Scale Bioregions (Integrated Marine and Coastal Regionalisation of Australia) Freycinet
    IMCRA v4.0 Provincial Bioregions (Integrated Marine and Coastal Regionalisation of Australia) Tasmanian Shelf Province
    NRM Regions 2010 South
    NRM Regions 2017 South NRM Region
    Natural Resource Management (NRM) Regions 2023 South NRM Region
    Area management
    National Landcare Program Management Units 2018 South NRM Region
    Biodiversity
    IMCRA 4 Regions Tasmanian Shelf Province
    IMCRA Meso-scale Bioregions Freycinet
    Hydrology
    Drainage Divisions Level 1 Tasmania
    Drainage Divisions Level 2 EAST COAST
    Indigenous
    RATSIB (representative Aboriginal/Torres Strait Islander body) Areas 2024 Tasmania
    Marine
    States including coastal waters Tasmania (including Coastal Waters)
    Political
    Local Government Areas PSMA 2018 GLAMORGAN-SPRING BAY COUNCIL
    PSMA State Electoral Boundaries (2018) PROSSER
    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 Non forest
    Tenure of Australia's forests (2013) v2.0 Private Freehold

    Environmental sampling for this location

    Biodiversity
    Occurrence Density 8677.0 frequency
    Species Richness 1359.0 frequency
    Climate
    Precipitation - annual (Bio12) 717.0 mm
    Precipitation - coldest quarter (Bio19) 154.0 mm
    Precipitation - driest period (Bio14) 11.0 mm
    Precipitation - driest quarter (Bio17) 148.0 mm
    Precipitation - seasonality (Bio15) 20.0 mm
    Precipitation - warmest quarter (Bio18) 200.0 mm
    Precipitation - wettest period (Bio13) 21.0 mm
    Precipitation - wettest quarter (Bio16) 234.0 mm
    Radiation - annual mean (Bio20) 13.7 MJ/m2/day
    Radiation - seasonality (Bio23) 45.0
    Radiation - warmest quarter (Bio26) 20.0 MJ/m2/day
    Temperature - annual mean (Bio01) 13.4 degrees C
    Temperature - annual range (Bio07) 17.0 degrees C
    Temperature - coldest period min (Bio06) 5.2 degrees C
    Temperature - coldest quarter mean (Bio11) 9.9 degrees C
    Temperature - diurnal range mean (Bio02) 9.0 degrees C
    Temperature - driest quarter mean (Bio09) 10.9 degrees C
    Temperature - isothermality (Bio03) 0.53 %
    Temperature - seasonality (Bio04) 0.96
    Temperature - warmest period max (Bio05) 22.1 degrees C
    Temperature - warmest quarter (Bio10) 17.0 degrees C
    Temperature - wettest quarter mean (Bio08) 15.8 degrees C
    WorldClim 2.1: Precipitation - annual 699.0 mm
    WorldClim 2.1: Precipitation - coldest quarter 171.0 mm
    WorldClim 2.1: Precipitation - driest month 37.0 mm
    WorldClim 2.1: Precipitation - driest quarter 158.0 mm
    WorldClim 2.1: Precipitation - seasonality 20.177906 mm
    WorldClim 2.1: Precipitation - warmest quarter 166.0 mm
    WorldClim 2.1: Precipitation - wettest month 83.0 mm
    WorldClim 2.1: Precipitation - wettest quarter 219.0 mm
    WorldClim 2.1: Temperature - annual mean 12.9875 °C
    WorldClim 2.1: Temperature - annual range 18.1 °C
    WorldClim 2.1: Temperature - coldest month min 4.0 °C
    WorldClim 2.1: Temperature - coldest quarter mean 9.2 °C
    WorldClim 2.1: Temperature - diurnal range mean 9.708333 °C
    WorldClim 2.1: Temperature - driest quarter mean 11.5 °C
    WorldClim 2.1: Temperature - isothermality 53.6372 %
    WorldClim 2.1: Temperature - seasonality 303.0611
    WorldClim 2.1: Temperature - warmest month max 22.1 °C
    WorldClim 2.1: Temperature - warmest quarter mean 16.7 °C
    WorldClim 2.1: Temperature - wettest quarter mean 15.516666 °C
    Substrate
    Moisture Index - annual mean (Bio28) 0.71
    Moisture Index - highest quarter mean (Bio32) 0.93