Predicting the distribution of foraging seabirds during a period of heightened environmental variability
Maintenance and Update Frequency: notPlanned Statement: Zooplankton were sampled by oblique tows of a bongo net (mesh size 200 μm; mouth diameter 75 cm). Nets were deployed to 40m. Fish school presence/absence was quantified using a scientific SIMRAD ES60 (Kongsberg Simrad AS) single-beam echo-sound...
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Australian Ocean Data Network
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Online Access: | https://doi.org/10.25959/9wq3-0695 https://researchdata.edu.au/predicting-distribution-foraging-environmental-variability/1668591 |
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ftands:oai:ands.org.au::1668591 2023-10-25T01:44:06+02:00 Predicting the distribution of foraging seabirds during a period of heightened environmental variability Evans, Rhian (pointOfContact) Evans, Rhian (hasPrincipalInvestigator) IMAS Data Manager (pointOfContact) Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) (hasAssociationWith) Lea, Mary-Anne (hasPrincipalInvestigator) Lea, Mary-Anne, Dr (hasPrincipalInvestigator) Mary-Anne Lea (hasPrincipalInvestigator) Spatial: westlimit=147.32664945; southlimit=-43.6245751587; eastlimit=147.846669763; northlimit=-43.0972212643 Temporal: From 2015-10-15 to 2018-01-11 https://doi.org/10.25959/9wq3-0695 https://researchdata.edu.au/predicting-distribution-foraging-environmental-variability/1668591 unknown Australian Ocean Data Network https://researchdata.edu.au/predicting-distribution-foraging-environmental-variability/1668591 9f77ae81-6d2b-4a39-9c6e-bfeaf761bda2 doi:10.25959/9wq3-0695 https://doi.org/10.25959/9wq3-0695 Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) oceans boat-based ocean sampling visual survey procellariiformes penguin EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS | COASTAL EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | AQUATIC ECOSYSTEMS | PLANKTON | ZOOPLANKTON EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS EARTH SCIENCE | BIOSPHERE | ECOLOGICAL DYNAMICS | ECOSYSTEM FUNCTIONS | TROPHIC DYNAMICS EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | ANIMALS/VERTEBRATES | BIRDS | ALBATROSSES/PETRELS AND ALLIES EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | ANIMALS/VERTEBRATES | FISH EARTH SCIENCE | OCEANS | OCEAN ACOUSTICS | ACOUSTIC SCATTERING Marine and Estuarine Ecology (incl. Marine Ichthyology) BIOLOGICAL SCIENCES ECOLOGY Ecological Impacts of Climate Change ENVIRONMENTAL SCIENCES ECOLOGICAL APPLICATIONS dataset ftands https://doi.org/10.25959/9wq3-0695 2023-09-25T23:38:50Z Maintenance and Update Frequency: notPlanned Statement: Zooplankton were sampled by oblique tows of a bongo net (mesh size 200 μm; mouth diameter 75 cm). Nets were deployed to 40m. Fish school presence/absence was quantified using a scientific SIMRAD ES60 (Kongsberg Simrad AS) single-beam echo-sounder system (120 kHz, average ping rate of 1 per second). The transducer was mounted on a pole arm configuration ~1 m under the surface of the water, on the same side of the boat as seabird surveys were carried out. Seabirds were surveyed using visual survey techniques following the method of Tasker et al. (1984). We used binoculars (7 x 50 magnification, Bushnell, Bushnell Corporation, Kansas City, USA) to count and identify seabirds to species level in one forequarter of the ship’s bow to 300m swath width. Credit Sea World Research and Rescue Foundation Inc. (SWR/8/2015) Credit Holsworth Wildlife Research Endowment Credit In kind support - the University of Tasmania Ecosystem data was collected as part of an integrated study of the continental shelf over a 2 and a half year period between November 2015 and January 2018. Data were collected bi-monthly through the spring to autumn (November, January, March, May). Stations were situated perpendicular to shelf bathymetry, ranging in depth from ~50 m to 100 m near the edge of the shelf and were located between 5 km and 15 km from land; encompassing from south Storm Bay, past the southern tip of Bruny Island and into the Southern Ocean (south-east Tasmania, Australia). Data collected focused on each trophic level, characterizing the zooplankton community, fish schools and marine predators. The overarching aim of the study was to investigate the effects of long term warming, and a marine heatwave event on zooplankton dynamics in terms of community response variables and the flow-on effects of changing lower-trophic level dynamics for top predators. Dataset Southern Ocean Research Data Australia (Australian National Data Service - ANDS) Bushnell ENVELOPE(-150.800,-150.800,-85.600,-85.600) Kongsberg ENVELOPE(19.082,19.082,69.123,69.123) Southern Ocean |
institution |
Open Polar |
collection |
Research Data Australia (Australian National Data Service - ANDS) |
op_collection_id |
ftands |
language |
unknown |
topic |
oceans boat-based ocean sampling visual survey procellariiformes penguin EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS | COASTAL EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | AQUATIC ECOSYSTEMS | PLANKTON | ZOOPLANKTON EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS EARTH SCIENCE | BIOSPHERE | ECOLOGICAL DYNAMICS | ECOSYSTEM FUNCTIONS | TROPHIC DYNAMICS EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | ANIMALS/VERTEBRATES | BIRDS | ALBATROSSES/PETRELS AND ALLIES EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | ANIMALS/VERTEBRATES | FISH EARTH SCIENCE | OCEANS | OCEAN ACOUSTICS | ACOUSTIC SCATTERING Marine and Estuarine Ecology (incl. Marine Ichthyology) BIOLOGICAL SCIENCES ECOLOGY Ecological Impacts of Climate Change ENVIRONMENTAL SCIENCES ECOLOGICAL APPLICATIONS |
spellingShingle |
oceans boat-based ocean sampling visual survey procellariiformes penguin EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS | COASTAL EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | AQUATIC ECOSYSTEMS | PLANKTON | ZOOPLANKTON EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS EARTH SCIENCE | BIOSPHERE | ECOLOGICAL DYNAMICS | ECOSYSTEM FUNCTIONS | TROPHIC DYNAMICS EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | ANIMALS/VERTEBRATES | BIRDS | ALBATROSSES/PETRELS AND ALLIES EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | ANIMALS/VERTEBRATES | FISH EARTH SCIENCE | OCEANS | OCEAN ACOUSTICS | ACOUSTIC SCATTERING Marine and Estuarine Ecology (incl. Marine Ichthyology) BIOLOGICAL SCIENCES ECOLOGY Ecological Impacts of Climate Change ENVIRONMENTAL SCIENCES ECOLOGICAL APPLICATIONS Predicting the distribution of foraging seabirds during a period of heightened environmental variability |
topic_facet |
oceans boat-based ocean sampling visual survey procellariiformes penguin EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS | COASTAL EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | AQUATIC ECOSYSTEMS | PLANKTON | ZOOPLANKTON EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS EARTH SCIENCE | BIOSPHERE | ECOLOGICAL DYNAMICS | ECOSYSTEM FUNCTIONS | TROPHIC DYNAMICS EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | ANIMALS/VERTEBRATES | BIRDS | ALBATROSSES/PETRELS AND ALLIES EARTH SCIENCE | BIOLOGICAL CLASSIFICATION | ANIMALS/VERTEBRATES | FISH EARTH SCIENCE | OCEANS | OCEAN ACOUSTICS | ACOUSTIC SCATTERING Marine and Estuarine Ecology (incl. Marine Ichthyology) BIOLOGICAL SCIENCES ECOLOGY Ecological Impacts of Climate Change ENVIRONMENTAL SCIENCES ECOLOGICAL APPLICATIONS |
description |
Maintenance and Update Frequency: notPlanned Statement: Zooplankton were sampled by oblique tows of a bongo net (mesh size 200 μm; mouth diameter 75 cm). Nets were deployed to 40m. Fish school presence/absence was quantified using a scientific SIMRAD ES60 (Kongsberg Simrad AS) single-beam echo-sounder system (120 kHz, average ping rate of 1 per second). The transducer was mounted on a pole arm configuration ~1 m under the surface of the water, on the same side of the boat as seabird surveys were carried out. Seabirds were surveyed using visual survey techniques following the method of Tasker et al. (1984). We used binoculars (7 x 50 magnification, Bushnell, Bushnell Corporation, Kansas City, USA) to count and identify seabirds to species level in one forequarter of the ship’s bow to 300m swath width. Credit Sea World Research and Rescue Foundation Inc. (SWR/8/2015) Credit Holsworth Wildlife Research Endowment Credit In kind support - the University of Tasmania Ecosystem data was collected as part of an integrated study of the continental shelf over a 2 and a half year period between November 2015 and January 2018. Data were collected bi-monthly through the spring to autumn (November, January, March, May). Stations were situated perpendicular to shelf bathymetry, ranging in depth from ~50 m to 100 m near the edge of the shelf and were located between 5 km and 15 km from land; encompassing from south Storm Bay, past the southern tip of Bruny Island and into the Southern Ocean (south-east Tasmania, Australia). Data collected focused on each trophic level, characterizing the zooplankton community, fish schools and marine predators. The overarching aim of the study was to investigate the effects of long term warming, and a marine heatwave event on zooplankton dynamics in terms of community response variables and the flow-on effects of changing lower-trophic level dynamics for top predators. |
author2 |
Evans, Rhian (pointOfContact) Evans, Rhian (hasPrincipalInvestigator) IMAS Data Manager (pointOfContact) Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) (hasAssociationWith) Lea, Mary-Anne (hasPrincipalInvestigator) Lea, Mary-Anne, Dr (hasPrincipalInvestigator) Mary-Anne Lea (hasPrincipalInvestigator) |
format |
Dataset |
title |
Predicting the distribution of foraging seabirds during a period of heightened environmental variability |
title_short |
Predicting the distribution of foraging seabirds during a period of heightened environmental variability |
title_full |
Predicting the distribution of foraging seabirds during a period of heightened environmental variability |
title_fullStr |
Predicting the distribution of foraging seabirds during a period of heightened environmental variability |
title_full_unstemmed |
Predicting the distribution of foraging seabirds during a period of heightened environmental variability |
title_sort |
predicting the distribution of foraging seabirds during a period of heightened environmental variability |
publisher |
Australian Ocean Data Network |
url |
https://doi.org/10.25959/9wq3-0695 https://researchdata.edu.au/predicting-distribution-foraging-environmental-variability/1668591 |
op_coverage |
Spatial: westlimit=147.32664945; southlimit=-43.6245751587; eastlimit=147.846669763; northlimit=-43.0972212643 Temporal: From 2015-10-15 to 2018-01-11 |
long_lat |
ENVELOPE(-150.800,-150.800,-85.600,-85.600) ENVELOPE(19.082,19.082,69.123,69.123) |
geographic |
Bushnell Kongsberg Southern Ocean |
geographic_facet |
Bushnell Kongsberg Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) |
op_relation |
https://researchdata.edu.au/predicting-distribution-foraging-environmental-variability/1668591 9f77ae81-6d2b-4a39-9c6e-bfeaf761bda2 doi:10.25959/9wq3-0695 https://doi.org/10.25959/9wq3-0695 |
op_doi |
https://doi.org/10.25959/9wq3-0695 |
_version_ |
1780741449859465216 |