Blue Whale Study aerial surveys, southern Australia 2002-2007
Original provider: Blue Whale Study Inc. Dataset credits: Blue Whale Study Inc. Abstract: Blue whales Balaenoptera musculus aggregate to feed in a regional upwelling system during November–May between the Great Australian Bight (GAB) and Bass Strait. We analyzed sightings from aerial surveys over 6...
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ftands:oai:ands.org.au::1596534 2023-05-15T15:36:25+02:00 Blue Whale Study aerial surveys, southern Australia 2002-2007 Ocean Biodiversity Information System (isManagedBy) https://researchdata.edu.au/blue-whale-study-2002-2007/1596534 unknown Atlas of Living Australia https://researchdata.edu.au/blue-whale-study-2002-2007/1596534 ala.org.au/dr15883 Ocean Biodiversity Information System dataset ftands 2022-12-19T23:51:46Z Original provider: Blue Whale Study Inc. Dataset credits: Blue Whale Study Inc. Abstract: Blue whales Balaenoptera musculus aggregate to feed in a regional upwelling system during November–May between the Great Australian Bight (GAB) and Bass Strait. We analyzed sightings from aerial surveys over 6 upwelling seasons (2001–02 to 2006–07) to assess within-season patterns of blue whale habitat selection, distribution, and relative abundance. Habitat variables were modelled using a general linear model (GLM) that ranked sea surface temperature (SST) and sea surface chlorophyll (SSC) of equal importance, followed by depth, distance to shore, SSC gradient, distance to shelf break, and SST gradient. Further discrimination by hierarchical partitioning indicated that SST accounted for 84.4% of variation in blue whale presence explained by the model, and that probability of sightings increased with increasing SST. The large study area was resolved into 3 zones showing diversity of habitat from the shallow narrow shelf and associated surface upwelling of the central zone, to the relatively deep upper slope waters, broad shelf and variable upwelling of the western zone, and the intermediate features of the eastern zone. Density kernel estimation showed a trend in distribution from the west during November–December, spreading south-eastward along the shelf throughout the central and eastern zones during January–April, with the central zone most consistently utilized. Encounter rates in central and eastern zones peaked in February, coinciding with peak upwelling intensity and primary productivity. Blue whales avoided inshore upwelling centers, selecting SST ~1°C cooler than remotely sensed ambient SST. Whales selected significantly higher SSC in the central and eastern zones than the western zone, where relative abundance was extremely variable. Most animals departed from the feeding ground by late April. Purpose: A primary objective of the present study was to use modelling (i.e., general linear model [GLM]) to assess the ... Dataset Balaenoptera musculus Blue whale Research Data Australia (Australian National Data Service - ANDS) |
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Open Polar |
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Research Data Australia (Australian National Data Service - ANDS) |
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ftands |
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unknown |
description |
Original provider: Blue Whale Study Inc. Dataset credits: Blue Whale Study Inc. Abstract: Blue whales Balaenoptera musculus aggregate to feed in a regional upwelling system during November–May between the Great Australian Bight (GAB) and Bass Strait. We analyzed sightings from aerial surveys over 6 upwelling seasons (2001–02 to 2006–07) to assess within-season patterns of blue whale habitat selection, distribution, and relative abundance. Habitat variables were modelled using a general linear model (GLM) that ranked sea surface temperature (SST) and sea surface chlorophyll (SSC) of equal importance, followed by depth, distance to shore, SSC gradient, distance to shelf break, and SST gradient. Further discrimination by hierarchical partitioning indicated that SST accounted for 84.4% of variation in blue whale presence explained by the model, and that probability of sightings increased with increasing SST. The large study area was resolved into 3 zones showing diversity of habitat from the shallow narrow shelf and associated surface upwelling of the central zone, to the relatively deep upper slope waters, broad shelf and variable upwelling of the western zone, and the intermediate features of the eastern zone. Density kernel estimation showed a trend in distribution from the west during November–December, spreading south-eastward along the shelf throughout the central and eastern zones during January–April, with the central zone most consistently utilized. Encounter rates in central and eastern zones peaked in February, coinciding with peak upwelling intensity and primary productivity. Blue whales avoided inshore upwelling centers, selecting SST ~1°C cooler than remotely sensed ambient SST. Whales selected significantly higher SSC in the central and eastern zones than the western zone, where relative abundance was extremely variable. Most animals departed from the feeding ground by late April. Purpose: A primary objective of the present study was to use modelling (i.e., general linear model [GLM]) to assess the ... |
author2 |
Ocean Biodiversity Information System (isManagedBy) |
format |
Dataset |
title |
Blue Whale Study aerial surveys, southern Australia 2002-2007 |
spellingShingle |
Blue Whale Study aerial surveys, southern Australia 2002-2007 |
title_short |
Blue Whale Study aerial surveys, southern Australia 2002-2007 |
title_full |
Blue Whale Study aerial surveys, southern Australia 2002-2007 |
title_fullStr |
Blue Whale Study aerial surveys, southern Australia 2002-2007 |
title_full_unstemmed |
Blue Whale Study aerial surveys, southern Australia 2002-2007 |
title_sort |
blue whale study aerial surveys, southern australia 2002-2007 |
publisher |
Atlas of Living Australia |
url |
https://researchdata.edu.au/blue-whale-study-2002-2007/1596534 |
genre |
Balaenoptera musculus Blue whale |
genre_facet |
Balaenoptera musculus Blue whale |
op_source |
Ocean Biodiversity Information System |
op_relation |
https://researchdata.edu.au/blue-whale-study-2002-2007/1596534 ala.org.au/dr15883 |
_version_ |
1766366767511240704 |