Data

Predicted sea snake habitat locations in the North West Marine Region

University of Tasmania, Australia
Udyawer, Vinay
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://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/8114ec84-7907-4ad8-8453-e0b255dc2bd7&rft.title=Predicted sea snake habitat locations in the North West Marine Region&rft.identifier=https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/8114ec84-7907-4ad8-8453-e0b255dc2bd7&rft.description=Sea snake sightings from Baited Remote Underwater Video Stations deployed by the Australian Institute of Marine Science were used to predict locations that are likely important habitats for sea snake populations within the North West Marine Region (NWMR). Presence/Absence of sea snakes were modelled with environmental parameters using Gradient Boosted Regression Tree model to predict habitat suitability within the 1000 m depth contour along the NWMR. This output is a result of work conducted as part of the NESP Marine Hub Project A8- 'Exploring the status of Western Australia's sea snakes'. See project page for more details and updates: https://www.nespmarine.edu.au/project/project-a8-exploring-status-western-australian-sea-snakesMaintenance and Update Frequency: notPlannedStatement: Presence/absence of four genus of sea snake from Baited Remote Underwater Video Stations (BRUVS) deployed by the Australian Institute of Marine Science were used to model habitat suitability within the North West Marine Region using Gradient Boosted Regression Tree Models&rft.creator=Udyawer, Vinay &rft.date=2017&rft.coverage=westlimit=111.75645; southlimit=-26.81647; eastlimit=130.36621; northlimit=-10.40674; projection=GDA94 / Australian Albers (EPSG:3577)&rft.coverage=westlimit=111.75645; southlimit=-26.81647; eastlimit=130.36621; northlimit=-10.40674; projection=GDA94 / Australian Albers (EPSG:3577)&rft_rights= http://creativecommons.org/licenses/by/4.0/&rft_rights=http://i.creativecommons.org/l/by/4.0/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 4.0 International License&rft_rights=http://creativecommons.org/international/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=The data described in this record are the intellectual property of the Australian Institute of Marine Science (AIMS).&rft_rights=Data was sourced from the NESP Marine Biodiversity Hub – the Marine Biodiversity Hub is supported through funding from the Australian Government’s National Environmental Science Program (NESP), administered by the Department of the Environment (DOE).&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=biota&rft_subject=Species Distribution Model&rft_subject=LIZARDS/SNAKES&rft_subject=EARTH SCIENCE&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=ANIMALS/VERTEBRATES&rft_subject=REPTILES&rft_subject=MARINE HABITAT&rft_subject=BIOSPHERE&rft_subject=AQUATIC ECOSYSTEMS&rft_subject=RANGE CHANGES&rft_subject=ECOLOGICAL DYNAMICS&rft_subject=SPECIES/POPULATION INTERACTIONS&rft_subject=Hydrophiinae&rft_subject=Hydrophis&rft_subject=Aipysurus&rft_subject=Emydocephalus&rft_subject=Sea snake&rft_subject=NESP Marine Biodiversity Hub&rft.type=dataset&rft.language=English Access the data
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License Text

The data described in this record are the intellectual property of the Australian Institute of Marine Science (AIMS).

Data was sourced from the NESP Marine Biodiversity Hub – the Marine Biodiversity Hub is supported through funding from the Australian Government’s National Environmental Science Program (NESP), administered by the Department of the Environment (DOE).

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Brief description

Sea snake sightings from Baited Remote Underwater Video Stations deployed by the Australian Institute of Marine Science were used to predict locations that are likely important habitats for sea snake populations within the North West Marine Region (NWMR). Presence/Absence of sea snakes were modelled with environmental parameters using Gradient Boosted Regression Tree model to predict habitat suitability within the 1000 m depth contour along the NWMR. This output is a result of work conducted as part of the NESP Marine Hub Project A8- 'Exploring the status of Western Australia's sea snakes'. See project page for more details and updates: https://www.nespmarine.edu.au/project/project-a8-exploring-status-western-australian-sea-snakes

Lineage

Maintenance and Update Frequency: notPlanned
Statement: Presence/absence of four genus of sea snake from Baited Remote Underwater Video Stations (BRUVS) deployed by the Australian Institute of Marine Science were used to model habitat suitability within the North West Marine Region using Gradient Boosted Regression Tree Models

Notes

Credit
Australian Institute of Marine Science (AIMS)
Credit
National Environmental Science Program (NESP) Marine Biodiversity Hub

Created: 2017-03-08

Data time period: 1999-11-01 to 2016-04-01

This dataset is part of a larger collection

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130.36621,-10.40674 130.36621,-26.81647 111.75645,-26.81647 111.75645,-10.40674 130.36621,-10.40674

121.06133,-18.611605

text: westlimit=111.75645; southlimit=-26.81647; eastlimit=130.36621; northlimit=-10.40674; projection=GDA94 / Australian Albers (EPSG:3577)

Subjects
ANIMALS/VERTEBRATES | AQUATIC ECOSYSTEMS | Aipysurus | BIOLOGICAL CLASSIFICATION | BIOSPHERE | EARTH SCIENCE | ECOLOGICAL DYNAMICS | Emydocephalus | Hydrophiinae | Hydrophis | LIZARDS/SNAKES | MARINE HABITAT | NESP Marine Biodiversity Hub | RANGE CHANGES | REPTILES | SPECIES/POPULATION INTERACTIONS | Sea snake | Species Distribution Model | biota |

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Other Information
(DATA ACCESS - maps of Sea Snake predicted habitats [direct download - EPSG:3577])

uri : https://data.imas.utas.edu.au/attachments/8114ec84-7907-4ad8-8453-e0b255dc2bd7/ProjectA8_Shapefiles.zip

global : 7be029e5-afbd-431e-975a-2c03987b367c

Identifiers
  • global : 8114ec84-7907-4ad8-8453-e0b255dc2bd7
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