Descrição
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 relative importance of a range of biophysical habitat variables in explaining whale distribution (see
Redfern et al. 2006 for a review of cetacean habitat modelling). To do this we used blue whale sighting data from aerial surveys over 6 upwelling seasons, in combination with bathymetric, remote sensing, and temperature logger data. Another objective was to explain within-season patterns of distribution and
relative abundance of foraging blue whales in this upwelling system using density kernel estimation and monthly variabililty in encounter rates. Furthermore, the present study presented an opportunity to assess whether the Bonney Upwelling surface plume, representing a shoaling of the thermocline rarely observed in blue whale feeding grounds elsewhere, provided insights into relationships between whales and upwelling in this region.
Reference: Redfern, J.V., M.C. Ferguson, E.A. Becker, K.D. Hyrenbach et al. 2006. Techniques for cetacean-habitat modelling.
Marine Ecological Progress Series 310:271–295.
Supplemental information:
[2015-06-04] The identification of the species is updated from Balaenoptera musculus to Balaenoptera musculus brevicauda.
Registros de Dados
Os dados deste recurso de ocorrência foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 408 registros.
This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.
Versões
A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.
Como citar
Pesquisadores deveriam citar esta obra da seguinte maneira:
Gill, P. 2015. Blue Whale Study aerial surveys, southern Australia 2002-2007. Data downloaded from OBIS-SEAMAP (http://seamap.env.duke.edu/dataset/971) on yyyy-mm-dd.
Direitos
Pesquisadores devem respeitar a seguinte declaração de direitos:
O editor e o detentor dos direitos deste trabalho é OBIS-SEAMAP. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC 4.0) License.
GBIF Registration
Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: e38a459a-06c4-4056-8f2c-4f0d2fc38605. OBIS-SEAMAP publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por Ocean Biodiversity Information System.
Palavras-chave
Occurrence,Aircraft,Sightings,pygmy blue whales; Observation; Occurrence
Dados externos
Os dados de recurso também estão disponíveis em outros formatos
OBIS-SEAMAP Dataset Page | http://seamap.env.duke.edu/dataset/971 UTF-8 Interactive map |
---|---|
FGDC Metadata | http://seamap.env.duke.edu/dataset/971/xml UTF-8 XML |
Contatos
- Proprietário ●
- Originador ●
- Ponto De Contato
- Provedor Dos Metadados ●
- Distribuidor
Cobertura Geográfica
Australia
Coordenadas delimitadoras | Sul Oeste [-39,383, 134,058], Norte Leste [-35,053, 143,303] |
---|
Cobertura Taxonômica
Scientific names are based on the Integrated Taxonomic Information System (ITIS).
Subespécie | Balaenoptera musculus brevicauda (Pygmy blue whale) |
---|
Cobertura Temporal
Data Inicial / Data final | 2002-01-19 / 2007-05-16 |
---|
Dados Sobre o Projeto
Nenhuma descrição disponível
Título | Blue Whale Study aerial surveys, southern Australia 2002-2007 |
---|---|
Financiamento | NA |
O pessoal envolvido no projeto:
- Proprietário
Métodos de Amostragem
NA
Área de Estudo | NA |
---|
Descrição dos passos do método:
- NA
Dados de Coleção
Nome da Coleção | zd_971 |
---|---|
Identificador da Coleção | zd_971 |
Identificador da Coleção Parental | OBIS-SEAMAP |
Metadados Adicionais
marine, harvested by iOBIS
Propósito | A primary objective of the present study was to use modelling (i.e., general linear model [GLM]) to assess the relative importance of a range of biophysical habitat variables in explaining whale distribution (see
Redfern et al. 2006 for a review of cetacean habitat modelling). To do this we used blue whale sighting data from aerial surveys over 6 upwelling seasons, in combination with bathymetric, remote sensing, and temperature logger data. Another objective was to explain within-season patterns of distribution and
relative abundance of foraging blue whales in this upwelling system using density kernel estimation and monthly variabililty in encounter rates. Furthermore, the present study presented an opportunity to assess whether the Bonney Upwelling surface plume, representing a shoaling of the thermocline rarely observed in blue whale feeding grounds elsewhere, provided insights into relationships between whales and upwelling in this region. Reference: Redfern, J.V., M.C. Ferguson, E.A. Becker, K.D. Hyrenbach et al. 2006. Techniques for cetacean-habitat modelling. Marine Ecological Progress Series 310:271–295. |
---|---|
Identificadores alternativos | http://ipt.env.duke.edu/resource?r=zd_971 |