Data

The spatio-temporal distribution of zooplankton communities in the Southern Ocean: high resolution sampling and its implications for long-term monitoring

Australian Antarctic Data Centre
HUNT, BRIAN ; HOSIE, GRAHAM
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/15/5812c740d05df&rft.title=The spatio-temporal distribution of zooplankton communities in the Southern Ocean: high resolution sampling and its implications for long-term monitoring&rft.identifier=10.4225/15/5812c740d05df&rft.publisher=Australian Antarctic Data Centre&rft.description=This thesis was conducted under the auspices of the Southern Ocean Continuous Plankton Recorder (CPR) Survey. The research conducted had the dual aims of providing baseline data for this long-term monitoring program and providing the first detailed analysis of zooplankton communities and distribution patterns in the Southern Ocean south of Australia. Data were principally collected between October 2001 and March 2002, during five voyages. As a primary step I investigated the sampling characteristics of CPR, and assessed the utility of the CPR as a long-term monitoring apparatus in the Southern Ocean. Given the shallow sampling depth of the CPR (~10.5m), a major requirement of this calibration was quantification of the fine-scale vertical distributions zooplankton. This was done through direct comparison of CPR samples with depth integrated NORPAC net hauls. The CPR-NORPAC comparison identified the component of the zooplankton sampled by the CPR and provided a means for comparison between past and present data sets. As a final component of this calibration, it was demonstrated that the CPR was effective at identifying biogeographic boundaries. An essential requirement for the identification of long-term ecological change is baseline data on natural ecosystem variability, particularly seasonality. Therefore, after calibration of the CPR the two fundamental components of spatial and seasonal variability were investigated. Firstly, the fine-scale horizontal structure of zooplankton communities was quantified from a 1170 nautical mile transect, along the 140oE meridian, spanning all of the major oceanographic zones south of Australia. Applying multivariate analyses a unique community zonation was identified which was strongly related to the complex oceanographic environment, characterised by multiple branches of the major fronts. The seasonal component of temporal variability was investigated separately in two major and distinctly different regions, the Seasonal Ice Zone and the Sub-Antarctic / Polar Frontal Zone. Multivariate analyses were used to quantify seasonal changes in species composition, Bray-Curtis dissimilarity, species densities, and the proportional contribution of species to communities. The spatial and temporal variation of zooplankton community structure was discussed in the light of environmental controls, species' vertical distributions, population cycles, and ecosystem functioning. Finally,the application of these data to long-term monitoring was discussed, and recommendations made for future research. The fields in this dataset are: CPR Segment Number Time (GMT) Date Latitude Longitude Segment Length (nautical miles) Salinity Sea Surface Temperature Species Fish Larvae Fish Scales Egg Mass Volume Bongo CTD Depth&rft.creator=HUNT, BRIAN &rft.creator=HOSIE, GRAHAM &rft.date=2004&rft.coverage=northlimit=-47.0086; southlimit=-66.3635; westlimit=139.4778; eastLimit=144.9; projection=WGS84&rft.coverage=northlimit=-47.0086; southlimit=-66.3635; westlimit=139.4778; eastLimit=144.9; projection=WGS84&rft_rights=This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/). Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=ASAC_472_Hunt when using these data.&rft_subject=biota&rft_subject=oceans&rft_subject=ANIMALS/INVERTEBRATES&rft_subject=EARTH SCIENCE&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=ZOOPLANKTON&rft_subject=BIOSPHERE&rft_subject=AQUATIC ECOSYSTEMS&rft_subject=PLANKTON&rft_subject=EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > PELAGIC&rft_subject=AURORA AUSTRALIS&rft_subject=BONGO&rft_subject=CONTINUOUS PLANKTON RECORDER&rft_subject=CPR&rft_subject=CTD&rft_subject=DATE&rft_subject=DEPTH&rft_subject=EGG MASS&rft_subject=FISH LARVAE&rft_subject=FISH SCALES&rft_subject=LATITUDE&rft_subject=LONGITUDE&rft_subject=SALINITY&rft_subject=SEGMENT LENGTH&rft_subject=SEGMENT NUMBER&rft_subject=SOUTHERN OCEAN&rft_subject=SPECIES&rft_subject=TIME&rft_subject=VOLUME&rft_subject=WATER TEMPERATURE&rft_subject=CPR > Continuous Plankton Recorder&rft_subject=SHIPS&rft_subject=R/V AA > R/V Aurora Australis&rft_subject=OCEAN > SOUTHERN OCEAN&rft_subject=GEOGRAPHIC REGION > POLAR&rft_place=Hobart&rft.type=dataset&rft.language=English Access the data

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This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/). Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=ASAC_472_Hunt when using these data.

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Brief description

This thesis was conducted under the auspices of the Southern Ocean Continuous Plankton Recorder (CPR) Survey. The research conducted had the dual aims of providing baseline data for this long-term monitoring program and providing the first detailed analysis of zooplankton communities and distribution patterns in the Southern Ocean south of Australia. Data were principally collected between October 2001 and March 2002, during five voyages. As a primary step I investigated the sampling characteristics of CPR, and assessed the utility of the CPR as a long-term monitoring apparatus in the Southern Ocean. Given the shallow sampling depth of the CPR (~10.5m), a major requirement of this calibration was quantification of the fine-scale vertical distributions zooplankton. This was done through direct comparison of CPR samples with depth integrated NORPAC net hauls. The CPR-NORPAC comparison identified the component of the zooplankton sampled by the CPR and provided a means for comparison between past and present data sets. As a final component of this calibration, it was demonstrated that the CPR was effective at identifying biogeographic boundaries.

An essential requirement for the identification of long-term ecological change is baseline data on natural ecosystem variability, particularly seasonality. Therefore, after calibration of the CPR the two fundamental components of spatial and seasonal variability were investigated. Firstly, the fine-scale horizontal structure of zooplankton communities was quantified from a 1170 nautical mile transect, along the 140oE meridian, spanning all of the major oceanographic zones south of Australia. Applying multivariate analyses a unique community zonation was identified which was strongly related to the complex oceanographic environment, characterised by multiple branches of the major fronts. The seasonal component of temporal variability was investigated separately in two major and distinctly different regions, the Seasonal Ice Zone and the Sub-Antarctic / Polar Frontal Zone. Multivariate analyses were used to quantify seasonal changes in species composition, Bray-Curtis dissimilarity, species densities, and the proportional contribution of species to communities. The spatial and temporal variation of zooplankton community structure was discussed in the light of environmental controls, species' vertical distributions, population cycles, and ecosystem functioning. Finally,the application of these data to long-term monitoring was discussed, and recommendations made for future research.

The fields in this dataset are:

CPR
Segment Number
Time (GMT)
Date
Latitude
Longitude
Segment Length (nautical miles)
Salinity
Sea Surface Temperature
Species
Fish Larvae
Fish Scales
Egg Mass
Volume
Bongo
CTD
Depth

Issued: 2004-12-20

Data time period: 2001-11-02 to 2002-03-11

This dataset is part of a larger collection

Click to explore relationships graph

144.9,-47.0086 144.9,-66.3635 139.4778,-66.3635 139.4778,-47.0086 144.9,-47.0086

142.1889,-56.68605

text: northlimit=-47.0086; southlimit=-66.3635; westlimit=139.4778; eastLimit=144.9; projection=WGS84

Other Information
Identifiers