Dataset

Predicted sea snake habitat locations in the North West Marine Region

Australian Ocean Data Network
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:443/geonetwork/srv/en/metadata.show?uuid=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:443/geonetwork/srv/en/metadata.show?uuid=8114ec84-7907-4ad8-8453-e0b255dc2bd7&rft.publisher=Institute for Marine and Antarctic Studies, University of Tasmania&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-snakesPresence/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=northlimit=-10.40674; southlimit=-26.81647; westlimit=111.75645; eastLimit=130.36621; projection=GDA94 / Australian Albers (EPSG:3577)&rft_rights=Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/&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_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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Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/

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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Full 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

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

Created: 2017-03-08

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

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

121.06133,-18.611605