Data

AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Southern Ocean zooplankton

University of Tasmania, Australia
Hill, Nicole ; Williams, Joel
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25959/0K75-BT33&rft.title=AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Southern Ocean zooplankton&rft.identifier=10.25959/0K75-BT33&rft.description=Zooplankton are important component of the Southern Ocean ecosystem yet so little is known about the distribution of most species and how this has changes through time. The project used existing data collect from the Southern Ocean Continuous Plankton Recorder Program (https://data.aad.gov.au/aadc/cpr/index.cfm). CPR data from 2000 to 2016 was extracted from the database and paired with environmental data (SST, SST anomaly, IOD, SAM, mixed layer depth). Hierarchical Models of Species Communities (HMSC) was used to model the zooplankton community to make inferences and predictions on the distribution of species and how they have changed through time.Maintenance and Update Frequency: asNeededStatement: Hierarchical Modelling of Species Communities (Hmsc), a flexible framework for Joint Species Distribution Modelling (JSDMs), was used to analyse zooplankton community data collected by continuous plankton recorder (CPR) in the Southern OCean. For more information on the methodology behind the CPR sampling please refer to associated publication. CPR data is publically accesible via https://data.aad.gov.au/aadc/cpr/index.cfm. Raw data that went into the Hmsc model is attached. Rasters of the environmental data relevant to zooplankton analysis were sourced from various databases and data products and matched with the CPR data locations For further information on the data and rasters used please refer to the publication. All environmental data used in the modelling are freely available and supplied R code outlines how the data were wrangled and used in the modelling process Annotated R code is provided to: 1) CPR data wrangling 2) Environmental data wrangling 3) Hmsc modelling and evaluation 4) Plotting 5) Predicting and mapping Outputs, including predictive maps, from the Hmsc model are also publicly available.&rft.creator=Hill, Nicole &rft.creator=Williams, Joel &rft.date=2025&rft.coverage=westlimit=67.148438; southlimit=-70.754345; eastlimit=168.398438; northlimit=-35.808904&rft.coverage=westlimit=67.148438; southlimit=-70.754345; eastlimit=168.398438; northlimit=-35.808904&rft_rights=Data, products and services from IMAS are provided as is without any warranty as to fitness for a particular purpose.&rft_rights=This dataset is the intellectual property of the University of Tasmania (UTAS) through the Institute for Marine and Antarctic Studies (IMAS).&rft_rights=&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_rights=https://licensebuttons.net/l/by/4.0/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution 4.0 International License&rft_rights=CC-BY&rft_rights=4.0&rft_rights=http://creativecommons.org/international/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=Cite data as: Hill, N., & Williams, J. (2025). AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Southern Ocean zooplankton [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/0K75-BT33&rft_rights=Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0&rft_subject=oceans&rft_subject=Species distribution model&rft_subject=Joint species distribution model&rft_subject=climate change&rft_subject=sea surface temperature&rft_subject=krill&rft_subject=southern ocean mapping&rft_subject=predictions&rft_subject=copepod&rft_subject=salp&rft_subject=zooplankton&rft_subject=OCEANIC ZONE&rft_subject=PELAGIC&rft_subject=EL NINO SOUTHERN OSCILLATION (ENSO)&rft_subject=EARTH SCIENCE&rft_subject=CLIMATE INDICATORS&rft_subject=ATMOSPHERIC/OCEAN INDICATORS&rft_subject=TELECONNECTIONS&rft_subject=ZOOPLANKTON&rft_subject=BIOSPHERE&rft_subject=AQUATIC ECOSYSTEMS&rft_subject=PLANKTON&rft_subject=SEA SURFACE TEMPERATURE INDICES&rft_subject=Global / Oceans | Global / Oceans | Southern Ocean&rft_subject=Global / Oceans | Global / Oceans | Southern Ocean/ Australia extension&rft_subject=Ecological Impacts of Climate Change&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ECOLOGICAL APPLICATIONS&rft_subject=Marine and Estuarine Ecology (incl. Marine Ichthyology)&rft_subject=BIOLOGICAL SCIENCES&rft_subject=ECOLOGY&rft_subject=Biological Oceanography&rft_subject=EARTH SCIENCES&rft_subject=OCEANOGRAPHY&rft.type=dataset&rft.language=English Access the data

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Data, products and services from IMAS are provided "as is" without any warranty as to fitness for a particular purpose.

This dataset is the intellectual property of the University of Tasmania (UTAS) through the Institute for Marine and Antarctic Studies (IMAS).

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License Text

Cite data as: Hill, N., & Williams, J. (2025). AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Southern Ocean zooplankton [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/0K75-BT33

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Brief description

Zooplankton are important component of the Southern Ocean ecosystem yet so little is known about the distribution of most species and how this has changes through time. The project used existing data collect from the Southern Ocean Continuous Plankton Recorder Program (https://data.aad.gov.au/aadc/cpr/index.cfm). CPR data from 2000 to 2016 was extracted from the database and paired with environmental data (SST, SST anomaly, IOD, SAM, mixed layer depth). Hierarchical Models of Species Communities (HMSC) was used to model the zooplankton community to make inferences and predictions on the distribution of species and how they have changed through time.

Lineage

Maintenance and Update Frequency: asNeeded
Statement: Hierarchical Modelling of Species Communities (Hmsc), a flexible framework for Joint Species Distribution Modelling (JSDMs), was used to analyse zooplankton community data collected by continuous plankton recorder (CPR) in the Southern OCean. For more information on the methodology behind the CPR sampling please refer to associated publication. CPR data is publically accesible via https://data.aad.gov.au/aadc/cpr/index.cfm. Raw data that went into the Hmsc model is attached. Rasters of the environmental data relevant to zooplankton analysis were sourced from various databases and data products and matched with the CPR data locations For further information on the data and rasters used please refer to the publication. All environmental data used in the modelling are freely available and supplied R code outlines how the data were wrangled and used in the modelling process Annotated R code is provided to: 1) CPR data wrangling 2) Environmental data wrangling 3) Hmsc modelling and evaluation 4) Plotting 5) Predicting and mapping Outputs, including predictive maps, from the Hmsc model are also publicly available.

Notes

Credit
Australian Antarctic Program

Issued: 07 03 2025

Data time period: 2000-01-01 to 2016-12-31

This dataset is part of a larger collection

Click to explore relationships graph

168.39844,-35.8089 168.39844,-70.75435 67.14844,-70.75435 67.14844,-35.8089 168.39844,-35.8089

117.773438,-53.2816245

text: westlimit=67.148438; southlimit=-70.754345; eastlimit=168.398438; northlimit=-35.808904

Other Information
(DATA DOWNLOAD - modelled current status of Southern Ocean zooplankton)

uri : https://data.imas.utas.edu.au/attachments/484d6b-81c3-45ec-a7fe-55b503963db4

Identifiers