Data

Biological Regionalisation Data for Australia (from CSIRO Bioregionalisation Project 1996)

Australian Ocean Data Network
CSIRO O&A, Information & Data Centre (Point of contact) CSIRO Oceans & Atmosphere - Hobart (Associated with)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://marlin.csiro.au/geonetwork/srv/eng/catalog.search#/metadata/bc1b3741-e021-5039-e044-00144f7bc0f4&rft.title=Biological Regionalisation Data for Australia (from CSIRO Bioregionalisation Project 1996)&rft.identifier=Anzlic Identifier: ANZCW0306001121&rft.publisher=Australian Ocean Data Network&rft.description=This dataset presents an interim provincial-scale bioregionalisation for the shelf region of the Australian EEZ. The regionalisations were derived from RAP (Rapid Assessment Procedure) analyses of available fish distribution data. The dynamic evolution of the marine biota and the extensive mixing of species assemblages is catered for by the introduction of biotones. Bioregions are shown to be extensive and highly diverse, containing species from a number of core provinces. A provincial scale bioregionalisation was derived for the pelagic and demersal systems separately. The pelagic bioregionalisation comprises 4 bioregions (two provinces and two zootones) of much more extensive spatial scale that the demersal bioregionalisation (17 bioregions, 9 provinces and 8 biotones). Distribution maps for approx. 150 key fish species used to construct the bioregions are indexed separately (see graphics link and related datasets). The data are also linked to oceanographic regionalisation data (see documentation link for details).Progress Code: completedMaintenance and Update Frequency: unknownStatement: A biogeographically informative subset of genera was determined using a 'rapid assessment procedure' (RAP) and ranked by a Biogeographic Information Index. This was followed by delphic regionalisation based on fish distribution information supplied by expert taxonomists, an objective analysis of boundary coincidence using all the refined species from a BioTax workshop, and an analysis of the dissimilarity in species distribution as represented by a variation of the Jaccard index (Jaccard, 1912) and its extension to the two-dimensional domain for Bass Strait, as developed in this project. A string analysis was then performed, and two algorithms for peak-detection were employed. The first was a global search which required a peak to be larger by a prescribed factor than the average number of string boundaries in a bin. In the second scheme, denoted as a local peak, the peak was required to be larger by a prescribed factor than the median of a sample from a number of bins adjacent to the bin being examined. Both of these peak detectors were then run for a range of realisation of the parameters of the filters (filter width range of 3 - 9 bins, multiplication factor range 2.5 - 3.5). The results of detection (=1) were then summed for the range of realisations and provided the information used to designate bioregional boundaries and zootones.&rft.creator=Anonymous&rft.date=1998&rft.coverage=westlimit=112; southlimit=-47.5; eastlimit=158; northlimit=-8&rft.coverage=westlimit=112; southlimit=-47.5; eastlimit=158; northlimit=-8&rft_rights=Report: no restrictions. Other data: release with permission of the custodian.&rft_subject=oceans&rft_subject=Earth Science | Biological Classification | Animals/Vertebrates | Fish&rft_subject=Earth Science | Biosphere | Aquatic Ecosystems | Coastal Habitat&rft_subject=Earth Science | Biosphere | Aquatic Ecosystems | Marine Habitat&rft_subject=Earth Science | Biosphere | Ecological Dynamics | Community Dynamics | Community Structure&rft_subject=Earth Science | Biosphere | Ecological Dynamics | Species/Population Interactions | Indigenous/Native Species&rft_subject=Earth Science | Oceans | Coastal Processes | Beaches&rft_subject=Earth Science | Oceans | Coastal Processes | Rocky Coasts&rft_subject=Marine Features (Australia) | Australian EEZ&rft_subject=Marine Bioregionalisation Project (OR2000) 1994-1997&rft.type=dataset&rft.language=English Access the data

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Report: no restrictions. Other data: release with permission of the custodian.

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Full description

This dataset presents an interim provincial-scale bioregionalisation for the shelf region of the Australian EEZ. The regionalisations were derived from RAP (Rapid Assessment Procedure) analyses of available fish distribution data. The dynamic evolution of the marine biota and the extensive mixing of species assemblages is catered for by the introduction of biotones. Bioregions are shown to be extensive and highly diverse, containing species from a number of core provinces. A provincial scale bioregionalisation was derived for the pelagic and demersal systems separately. The pelagic bioregionalisation comprises 4 bioregions (two provinces and two zootones) of much more extensive spatial scale that the demersal bioregionalisation (17 bioregions, 9 provinces and 8 biotones). Distribution maps for approx. 150 key fish species used to construct the bioregions are indexed separately (see graphics link and "related datasets"). The data are also linked to oceanographic regionalisation data (see documentation link for details).

Lineage

Progress Code: completed
Maintenance and Update Frequency: unknown
Statement: A biogeographically informative subset of genera was determined using a 'rapid assessment procedure' (RAP) and ranked by a "Biogeographic Information Index". This was followed by delphic regionalisation based on fish distribution information supplied by expert taxonomists, an objective analysis of boundary coincidence using all the refined species from a BioTax workshop, and an analysis of the dissimilarity in species distribution as represented by a variation of the Jaccard index (Jaccard, 1912) and its extension to the two-dimensional domain for Bass Strait, as developed in this project. A string analysis was then performed, and two algorithms for peak-detection were employed. The first was a global search which required a peak to be larger by a prescribed factor than the average number of string boundaries in a bin. In the second scheme, denoted as a local peak, the peak was required to be larger by a prescribed factor than the median of a sample from a number of bins adjacent to the bin being examined. Both of these peak detectors were then run for a range of realisation of the parameters of the filters (filter width range of 3 - 9 bins, multiplication factor range 2.5 - 3.5). The results of detection (=1) were then summed for the range of realisations and provided the information used to designate bioregional boundaries and zootones.

Notes

Credit
Data and analysis compiled by CSIRO Divisions of Fisheries and Oceanography, 1996. Project funded by ERIN/OR2000 funds.
Credit
CSIRO Division of Fisheries: Vincent Lyne (Project Coordinator)
Credit
Peter Last
Credit
Dr Martin Gomon (seconded from Museum of Victoria)
Credit
Roger Scott
Credit
Suzanne Long
Credit
Alison Phillips
Credit
Dr Brian McArdle (University of Auckland)
Credit
Rev David Peters (Tasmanian Parks and Wildlife)
Credit
Dr Simon Pigot (Tasmanian Parks and Wildlife)
Credit
Dr Patricia Kailola (Fisheries Consultant)

Data time period: 1996

This dataset is part of a larger collection

Click to explore relationships graph

158,-8 158,-47.5 112,-47.5 112,-8 158,-8

135,-27.75

text: westlimit=112; southlimit=-47.5; eastlimit=158; northlimit=-8

Other Information
list of associated fish distribution maps held at ERIN (Graphics Link)

url : https://www.marine.csiro.au/data/trawler/download.cfm?file_id=2036

Bioregion Maps (Graphics Link)

url : https://www.cmar.marine.au/datacentre/ext_marlin_docs/bioregion/bioreg.htm

Bioregionalisation Project Report (Documentation Link)

url : https://www.cmar.marine.au/datacentre/ext_marlin_docs/bioregion/contents.htm

Identifiers
  • Local : Anzlic Identifier: ANZCW0306001121
  • Local : Marlin Record Number: 1121
  • global : bc1b3741-e021-5039-e044-00144f7bc0f4