Data

Darwin & Bynoe Harbours Predictive Benthic Habitat Mapping

Australian Ocean Data Network
Australian Institute of Marine Science (AIMS)
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://apps.aims.gov.au/metadata/view/af07f423-98d1-4860-801f-845eefd45dfd&rft.title=Darwin & Bynoe Harbours Predictive Benthic Habitat Mapping&rft.identifier=https://apps.aims.gov.au/metadata/view/af07f423-98d1-4860-801f-845eefd45dfd&rft.publisher=Australian Institute of Marine Science (AIMS)&rft.description=The goal of the program was developing comprehensive inventories and maps of the distribution and abundance of physical and biological seabed habitats, seagrasses and benthic assemblages to provide baseline environmental mapping and a description of ecological patterns. The benthic habitat mapping was performed by utilising R/Python and Maxent software within the species distribution modelling domain. We correlated the probability of occurrence of individual benthic habitat classes with the environmental predictors developed form the multibeam hydroacoustic dataset. There are five maps for the probability of occurrence of individual benthic habitat classes: Macroalgae, Seagrass, Hard Corals, Filter feeders and Bare seafloor; and a maximum likelihood map incorporating all the individual layers (1- Macroalgae; 2- Filter Feeders; 3- Seagrass; 4- Hard Corals; 5- Bare seafloor). An updated version of this data are available (2022) Revised predictive benthic habitat map for Darwin Harbour. Report prepared for Department of Environment, Parks and Water Security. Australian Institute of Marine Science, Darwin, 127 pp. See related data link below.Maintenance and Update Frequency: asNeededStatement: The layers are a product of the benthic habitat mapping activities and a direct outcome of the previous collaborative work between the Department of Environment and Natural Resources, Northern Territory Government (DENR), Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS). This program was made possible through offset funds provided by the INPEX-operated Ichthys LNG Project to DENR, and co-investments from GA and AIMS.&rft.creator=Australian Institute of Marine Science (AIMS) &rft.date=2024&rft.coverage=westlimit=130.2085876464844; southlimit=-12.821174850230918; eastlimit=131.05728149414065; northlimit=-12.064837960671113&rft.coverage=westlimit=130.2085876464844; southlimit=-12.821174850230918; eastlimit=131.05728149414065; northlimit=-12.064837960671113&rft_rights= http://creativecommons.org/licenses/by-nc/3.0/au/&rft_rights=http://i.creativecommons.org/l/by-nc/3.0/au/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution-NonCommercial 3.0 Australia License&rft_rights=http://creativecommons.org/international/au/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=Use Limitation: All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science (AIMS). (2019). Darwin & Bynoe Harbours Predictive Benthic Habitat Mapping. https://apps.aims.gov.au/metadata/view/af07f423-98d1-4860-801f-845eefd45dfd, accessed[date-of-access].&rft_rights=Creative Commons Attribution-NonCommercial 3.0 Australia License http://creativecommons.org/licenses/by-nc/3.0/au&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data

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Use Limitation: All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Attribution: Format for citation of metadata sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science (AIMS). (2019). Darwin & Bynoe Harbours Predictive Benthic Habitat Mapping. https://apps.aims.gov.au/metadata/view/af07f423-98d1-4860-801f-845eefd45dfd, accessed[date-of-access]".

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Brief description

The goal of the program was developing comprehensive inventories and maps of the distribution and abundance of physical and biological seabed habitats, seagrasses and benthic assemblages to provide baseline environmental mapping and a description of ecological patterns. The benthic habitat mapping was performed by utilising R/Python and Maxent software within the species distribution modelling domain. We correlated the probability of occurrence of individual benthic habitat classes with the environmental predictors developed form the multibeam hydroacoustic dataset. There are five maps for the probability of occurrence of individual benthic habitat classes: Macroalgae, Seagrass, Hard Corals, Filter feeders and Bare seafloor; and a maximum likelihood map incorporating all the individual layers (1- Macroalgae; 2- Filter Feeders; 3- Seagrass; 4- Hard Corals; 5- Bare seafloor). An updated version of this data are available (2022) Revised predictive benthic habitat map for Darwin Harbour. Report prepared for Department of Environment, Parks and Water Security. Australian Institute of Marine Science, Darwin, 127 pp. See related data link below.

Lineage

Maintenance and Update Frequency: asNeeded
Statement: The layers are a product of the benthic habitat mapping activities and a direct outcome of the previous collaborative work between the Department of Environment and Natural Resources, Northern Territory Government (DENR), Geoscience Australia (GA) and the Australian Institute of Marine Science (AIMS). This program was made possible through offset funds provided by the INPEX-operated Ichthys LNG Project to DENR, and co-investments from GA and AIMS.

Notes

Credit
Geoscience Australia (GA)
Credit
Funding Body: Offset funds from INPEX-operated Ichthys LNG Project to DENR, and co-investments from GA and AIMS.
Credit
Williams, D (AIMS)
Credit
Department of Land Resource Management, Northern Territory Government (DLRM)
Credit
Harries, S (AIMS)

Modified: 09 08 2024

This dataset is part of a larger collection

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131.05728,-12.06484 131.05728,-12.82117 130.20859,-12.82117 130.20859,-12.06484 131.05728,-12.06484

130.63293457031,-12.443006405451

text: westlimit=130.2085876464844; southlimit=-12.821174850230918; eastlimit=131.05728149414065; northlimit=-12.064837960671113

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oceans |

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Identifiers
  • global : af07f423-98d1-4860-801f-845eefd45dfd