Data

North Marine Region benthic environmental classification

Australian Ocean Data Network
CSIRO O&A, Information & Data Centre (Point of contact) Rochester, Wayne (Point of contact)
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=https://marlin.csiro.au/geonetwork/srv/eng/catalog.search#/metadata/94c5bd42-76f8-430a-91c1-76973f68c293&rft.title=North Marine Region benthic environmental classification&rft.identifier=Anzlic Identifier: ANZCW0306006859&rft.publisher=Australian Ocean Data Network&rft.description=The dataset is a map of a benthic environmental classification of the North Marine Region (NMR). The aim of the classification was to summarise the way the physical environment near the seabed varies across the NMR. In particular, we were interested in variation within and across bioregion boundaries. The analysis was performed for the Department of the Environment and Water Resources for use in profiling of the NMR during the development of a marine bioregional plan for the region. The environmental classification process comprised laying a grid of cells over the NMR and sorting the cells into clusters on the basis of their physical environmental attributes. The classification method was unsupervised, model-based clustering with a Gaussian mixture model, and was performed with the MCLUST package for R. With this method, the statistical distributions of the clustering variables are modelled as a mixture of multivariate normal distributions. Clustering is a two-step process. First, the parameters of the mixture model are fitted by maximum likelihood. Second, the model is used to assign grid cells to clusters. The clustering variables were bathymetry, median current stress, sediment gravel percentage and average bottom salinity. The environmental characteristics of the nine clusters were (1) deep; (2) deep; (3) low stress, low gravel, low salinity; (4) average for the region; (5) average for the region; (6) shallow, low stress, high salinity; (7) shallow, low salinity; (8) shallow, high stress, gravel; and (9) shallow, high stress, high salinity.Progress Code: completedMaintenance and Update Frequency: notPlannedStatement: Refer to documentation.&rft.creator=Anonymous&rft.date=2007&rft.coverage=westlimit=127.5; southlimit=-18; eastlimit=142.5; northlimit=-8.5; projection=WGS84&rft.coverage=westlimit=127.5; southlimit=-18; eastlimit=142.5; northlimit=-8.5; projection=WGS84&rft_rights=Data is made available under a Creative Commons Attribution 4.0 International Licence, please see link. Data is supplied 'as is' without any warranty or guarantee except as required by law to be given to you. The data may not be free of error, comprehensive, current or appropriate for your particular purpose. You accept all risk and responsibility for its use. ATTRIBUTION STATEMENT: The dataset [Insert-dataset-name-here] downloaded on [Insert-DD-Mmm-YYYY-here] was provided by CSIRO.&rft_subject=oceans&rft_subject=Earth Science | Biosphere | Aquatic Ecosystems | Benthic Habitat&rft_subject=Earth Science | Biosphere | Aquatic Ecosystems | Marine Habitat&rft_subject=Marine Features (Australia) | Gulf of Carpentaria, NT/QLD&rft_subject=Regional Seas | Arafura Sea&rft_subject=Regional Seas | Timor Sea&rft_subject=Conservation Assessments of 11 Marine Areas - Stage 2 - Remaining 9 Areas&rft.type=dataset&rft.language=English Access the data
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Data is made available under a Creative Commons Attribution 4.0 International Licence, please see link. Data is supplied 'as is' without any warranty or guarantee except as required by law to be given to you. The data may not be free of error, comprehensive, current or appropriate for your particular purpose. You accept all risk and responsibility for its use. ATTRIBUTION STATEMENT: The dataset [Insert-dataset-name-here] downloaded on [Insert-DD-Mmm-YYYY-here] was provided by CSIRO.

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Brief description

The dataset is a map of a benthic environmental classification of the North Marine Region (NMR). The aim of the classification was to summarise the way the physical environment near the seabed varies across the NMR. In particular, we were interested in variation within and across bioregion boundaries. The analysis was performed for the Department of the Environment and Water Resources for use in profiling of the NMR during the development of a marine bioregional plan for the region. The environmental classification process comprised laying a grid of cells over the NMR and sorting the cells into clusters on the basis of their physical environmental attributes. The classification method was unsupervised, model-based clustering with a Gaussian mixture model, and was performed with the MCLUST package for R. With this method, the statistical distributions of the clustering variables are modelled as a mixture of multivariate normal distributions. Clustering is a two-step process. First, the parameters of the mixture model are fitted by maximum likelihood. Second, the model is used to assign grid cells to clusters. The clustering variables were bathymetry, median current stress, sediment gravel percentage and average bottom salinity. The environmental characteristics of the nine clusters were (1) deep; (2) deep; (3) low stress, low gravel, low salinity; (4) average for the region; (5) average for the region; (6) shallow, low stress, high salinity; (7) shallow, low salinity; (8) shallow, high stress, gravel; and (9) shallow, high stress, high salinity.

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Progress Code: completed
Maintenance and Update Frequency: notPlanned
Statement: Refer to documentation.

Notes

Credit
Department of the Environment and Water Resources - funding
Credit
Wayne Rochester

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142.5,-8.5 142.5,-18 127.5,-18 127.5,-8.5 142.5,-8.5

135,-13.25

text: westlimit=127.5; southlimit=-18; eastlimit=142.5; northlimit=-8.5; projection=WGS84

Subjects
Conservation Assessments of 11 Marine Areas - Stage 2 - Remaining 9 Areas | Earth Science | Biosphere | Aquatic Ecosystems | Benthic Habitat | Earth Science | Biosphere | Aquatic Ecosystems | Marine Habitat | Marine Features (Australia) | Gulf of Carpentaria, NT/QLD | Regional Seas | Arafura Sea | Regional Seas | Timor Sea | oceans |

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This work is licensed under a Creative Commons Attribution 4.0 International License (Documentation Link)

uri : https://creativecommons.org/licenses/by/4.0/

Identifiers
  • Local : Anzlic Identifier: ANZCW0306006859
  • Local : Marlin Record Number: 6859
  • global : 94c5bd42-76f8-430a-91c1-76973f68c293
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