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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Other Authors: 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
Language:unknown
Published: Australian Ocean Data Network
Subjects:
Online Access:https://doi.org/10.25959/9wq3-0695
https://researchdata.edu.au/predicting-distribution-foraging-environmental-variability/1668591
id ftands:oai:ands.org.au::1668591
record_format openpolar
spelling 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