Data

GOBI Biogeographies of the Indian and South West Pacific Oceans

Commonwealth Scientific and Industrial Research Organisation
Dunstan, Piers
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/zs9t-2h36&rft.title=GOBI Biogeographies of the Indian and South West Pacific Oceans&rft.identifier=https://doi.org/10.25919/zs9t-2h36&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=The development of new bioregions draws on experience in CSIRO, Global Ocean Biodiversity Initiative (GOBI) partners, and other collaborators, using approaches currently being trialled in Australia and around the Antarctic margins, and has collaborated with regional and national stakeholders to ensure a consistent approach. This combines approaches CSIRO developed in Australia (Last et al. 2010), used in the Bay of Bengal (BOBLME 2015) with similar approaches that have been used throughout the Indian and Pacific Oceans to derive a single combined bioregionalisation. \nThe new bioregionalisations for the south west Pacific and Indian Oceans incorporate understanding of shallow, deep and pelagic species, ecosystems, physical environments and their likely boundaries based on current information. The expert-based bioregionalisations are be supported by development of statistical analysis of datasets of selected species groups to identify bioregions specific for each taxon, with data from the Biologically or Ecologically Significant Marine Areas (EBSA) process and additional regional biogeography based on new invertebrate and fish collections from CSIRO, University of Tasmania, Museum Victoria and regional partners.\nLineage: The participatory approach for the regionalisation involved two workshops and subsequent refinements between CSIRO scientists and local experts. To prepare for the first workshop, CSIRO scientists collated information from literature sources and local experts to map the physical environment, habitats and species distributions. After the approach was explained to workshop participants, the mapped products, Traditional and Local knowledge were used to describe the regionalisation and to describe the features, processes and interrelationships within each province and between provinces. These relationships were then schematically illustrated by working groups set up for each province. Post-workshop activities refined these draft regionalisations by following up on missing information and ensuring consistency in the descriptions and illustrations. The second workshop reviewed the regionalisations and completed the systems descriptions of each province and linkages between provinces. This latter aspect also facilitated work on trans-boundary issues.&rft.creator=Dunstan, Piers &rft.date=2024&rft.edition=v1&rft.coverage=westlimit=29.0518; southlimit=-34.4439; eastlimit=-112.39710000000001; northlimit=13.3233; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2024.&rft_subject=Indian&rft_subject=South West Pacific&rft_subject=Biogeography&rft_subject=Biogeography and phylogeography&rft_subject=Evolutionary biology&rft_subject=BIOLOGICAL SCIENCES&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
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Data is accessible online and may be reused in accordance with licence conditions

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Brief description

The development of new bioregions draws on experience in CSIRO, Global Ocean Biodiversity Initiative (GOBI) partners, and other collaborators, using approaches currently being trialled in Australia and around the Antarctic margins, and has collaborated with regional and national stakeholders to ensure a consistent approach. This combines approaches CSIRO developed in Australia (Last et al. 2010), used in the Bay of Bengal (BOBLME 2015) with similar approaches that have been used throughout the Indian and Pacific Oceans to derive a single combined bioregionalisation.
The new bioregionalisations for the south west Pacific and Indian Oceans incorporate understanding of shallow, deep and pelagic species, ecosystems, physical environments and their likely boundaries based on current information. The expert-based bioregionalisations are be supported by development of statistical analysis of datasets of selected species groups to identify bioregions specific for each taxon, with data from the Biologically or Ecologically Significant Marine Areas (EBSA) process and additional regional biogeography based on new invertebrate and fish collections from CSIRO, University of Tasmania, Museum Victoria and regional partners.
Lineage: The participatory approach for the regionalisation involved two workshops and subsequent refinements between CSIRO scientists and local experts. To prepare for the first workshop, CSIRO scientists collated information from literature sources and local experts to map the physical environment, habitats and species distributions. After the approach was explained to workshop participants, the mapped products, Traditional and Local knowledge were used to describe the regionalisation and to describe the features, processes and interrelationships within each province and between provinces. These relationships were then schematically illustrated by working groups set up for each province. Post-workshop activities refined these draft regionalisations by following up on missing information and ensuring consistency in the descriptions and illustrations. The second workshop reviewed the regionalisations and completed the systems descriptions of each province and linkages between provinces. This latter aspect also facilitated work on trans-boundary issues.

Available: 2024-05-09

Data time period: 2017-01-01 to 2024-05-30

This dataset is part of a larger collection

Click to explore relationships graph

-112.3971,13.3233 -112.3971,-34.4439 29.0518,-34.4439 29.0518,13.3233 -112.3971,13.3233

-41.67265,-10.5603

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