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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:F97614

Preserved specimen of Mactra (Mactra) pura Reeve, 1854 | Pure Trough Shell recorded on 1999-01-02
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Dataset

Data partner OZCAM (Online Zoological Collections of Australian Museums) Provider
Data resource Museums Victoria provider for OZCAM
Institution code Museums Victoria
Supplied institution code "NMV"
Collection Museums Victoria Marine Invertebrates Collection
Supplied collection code "Invertebrates"
Catalog number F97614
Occurrence ID urn:lsid:ozcam.taxonomy.org.au:NMV:Invertebrates:PreservedSpecimen:F97614
Record type Preserved specimen
Supplied basis "PreservedSpecimen"
Preparations Wet|ethanol 70%
Identified by Clarrie Handreck - Marine Research Group  
Collector Marine Research Group of Victoria
License CC0
Supplied as https://creativecommons.org/publicdomain/zero/1.0/legalcode
Rights holder Museums Victoria
Institution ID urn:lsid:biocol.org:col:34978
Language en
Type PhysicalObject
Presence/Absence PRESENT
Supplied as present
Owner institution code NMV
Date identified 1999

Event

Occurrence date 1999-01-02
Supplied date "1999-01-02T00:00:00\1999-01-02T00:00:00"
End day of year 2
Date precision DAY
Start day of year 2

Taxonomy

Higher classification Mollusca | Conchifera | Bivalvia | Heterodonta | Veneroida | Mactroidea | Mactridae | Mactrinae
Scientific name Mactra (Mactra) pura
Supplied scientific name "Mactra (Mactra) pura Reeve, 1854"
Identified to rank species
Common name Pure Trough Shell
Kingdom Animalia
Phylum Mollusca
Class Bivalvia
Order Cardiida
Supplied as "Veneroida"
Family Mactridae
Genus Mactra
Species Mactra pura
Name match metric exactMatch
Scientific name authorship Reeve, 1854
Name parse type SCIENTIFIC
Subgenus Mactra
Nomenclatural code ICZN

Geospatial

Country Australia
State or Territory Victoria
Locality Nr. Griffith point, San Remo
Latitude -38.53
Supplied as: "-38.53"
Longitude 145.37
Supplied as: "145.37"
Datum EPSG:4326
Supplied datum: "WGS84"
Verbatim locality Nr. Griffith point, San Remo
Coordinate precision Unknown
Terrestrial true
Biome TERRESTRIAL
Marine false
Country Code AU

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 nameMactra (Mactra) pura
    Decimal latitude-38.53
    Decimal longitude145.37
    Year1999

    View all data referenced by this publication

    Data quality tests

    Test name Result
    Coordinate uncertainty meters invalid Warning
    Identification date before occurrence date Warning
    Recorded date invalid Warning
    Show/Hide 94 passed properties
    Show/Hide 5 missing properties
    Show/Hide 22 tests that have not been run

    Additional political boundaries information

    Area Management
    Directory of Important Wetlands Western Port
    IMCRA v4.0 Meso-Scale Bioregions (Integrated Marine and Coastal Regionalisation of Australia) Victorian Embayments
    IMCRA v4.0 Provincial Bioregions (Integrated Marine and Coastal Regionalisation of Australia) Bass Strait Shelf Province
    NRM Regions 2010 Port Phillip and Western Port
    NRM Regions 2017 Port Phillip and Western Port
    Natural Resource Management (NRM) Regions 2023 Port Phillip and Western Port
    Area management
    National Landcare Program Management Units 2018 Port Phillip and Western Port
    Biodiversity
    IMCRA 4 Regions Bass Strait Shelf Province
    IMCRA Meso-scale Bioregions Victorian Embayments
    Indigenous
    RATSIB (representative Aboriginal/Torres Strait Islander body) Areas 2024 Victoria
    States including coastal waters Victoria (including Coastal Waters)

    Environmental sampling for this location

    Biodiversity
    Occurrence Density 96697.0 frequency
    Species Richness 2097.0 frequency
    Climate
    Precipitation - annual (Bio12) 831.0 mm
    Precipitation - coldest quarter (Bio19) 261.0 mm
    Precipitation - driest period (Bio14) 8.0 mm
    Precipitation - driest quarter (Bio17) 140.0 mm
    Precipitation - seasonality (Bio15) 24.0 mm
    Precipitation - warmest quarter (Bio18) 140.0 mm
    Precipitation - wettest period (Bio13) 22.0 mm
    Precipitation - wettest quarter (Bio16) 261.0 mm
    Radiation - annual mean (Bio20) 14.7 MJ/m2/day
    Radiation - seasonality (Bio23) 47.0
    Radiation - warmest quarter (Bio26) 21.7 MJ/m2/day
    Temperature - annual mean (Bio01) 14.3 degrees C
    Temperature - annual range (Bio07) 18.3 degrees C
    Temperature - coldest period min (Bio06) 6.3 degrees C
    Temperature - coldest quarter mean (Bio11) 10.4 degrees C
    Temperature - diurnal range mean (Bio02) 8.5 degrees C
    Temperature - driest quarter mean (Bio09) 18.4 degrees C
    Temperature - isothermality (Bio03) 0.46 %
    Temperature - seasonality (Bio04) 1.09
    Temperature - warmest period max (Bio05) 24.6 degrees C
    Temperature - warmest quarter (Bio10) 18.4 degrees C
    Temperature - wettest quarter mean (Bio08) 10.4 degrees C
    WorldClim 2.1: Precipitation - annual 846.0 mm
    WorldClim 2.1: Precipitation - coldest quarter 258.0 mm
    WorldClim 2.1: Precipitation - driest month 39.0 mm
    WorldClim 2.1: Precipitation - driest quarter 147.0 mm
    WorldClim 2.1: Precipitation - seasonality 23.353636 mm
    WorldClim 2.1: Precipitation - warmest quarter 147.0 mm
    WorldClim 2.1: Precipitation - wettest month 88.0 mm
    WorldClim 2.1: Precipitation - wettest quarter 258.0 mm
    WorldClim 2.1: Temperature - annual mean 14.225 °C
    WorldClim 2.1: Temperature - annual range 16.300001 °C
    WorldClim 2.1: Temperature - coldest month min 6.9 °C
    WorldClim 2.1: Temperature - coldest quarter mean 10.4 °C
    WorldClim 2.1: Temperature - diurnal range mean 7.083333 °C
    WorldClim 2.1: Temperature - driest quarter mean 18.233334 °C
    WorldClim 2.1: Temperature - isothermality 43.45603 %
    WorldClim 2.1: Temperature - seasonality 315.22357
    WorldClim 2.1: Temperature - warmest month max 23.2 °C
    WorldClim 2.1: Temperature - warmest quarter mean 18.233334 °C
    WorldClim 2.1: Temperature - wettest quarter mean 10.4 °C
    WorldClim: Temperature - isothermality 47.0 %
    Substrate
    Moisture Index - annual mean (Bio28) 0.74
    Moisture Index - highest quarter mean (Bio32) 1.0