IMAS Metadata Catalogue
AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Future predictions of HIMI demersal Fish
Climate change is already influencing the worlds oceans. The Kerguelen Plateau as been identified as a climate change hotspot. This study aimed to predict and map how climate change will impact the distribution of demersal fishes. This study uses the published modeled (see https://doi.org/10.25959/4GVK-RM21) to take in predicted oceanographic variables under various IPCC climate change predictions. The oceanographic variables are provided by the FESOM model. Hierarchical models of species communities (HMSC) were used to make predictions in the demersal fish distribution for the 2020s, 2030s, 2040s, and 2050s. Predictions were mapped to explore the regions of change. This record contains all the environmental data, R code, and outputs from this project. Raw RSTS data needs to be requested from the AAD under the authorization of AFMA.
Simple
Identification info
- Date (Publication)
- 2025-02-27T00:00:00
Identifier
- Title
- Information and documentation - Digital object identifier system
- Citation identifier
-
ISO 26324:2012
- Code
- 10.25959/SYQT-A046
- Codespace
- doi.org
- Description
- Digital Object Identifier (DOI)
Resource provider
Principal investigator
Collaborator
- Credit
- Australian Antarctic Program
- Status
- On going
Point of contact
Point of contact
- Topic category
-
- Oceans
Extent
))
Temporal extent
- Time period
- 2000-01-01
- Maintenance and update frequency
- As needed
- Keywords (Theme)
-
- Climate change
- Marine Protected Areas
- Species Distribution Modelling
- Joint Species Distribution Modelling
- Trawl Survey
- Long term monitoring
- Keywords (Taxon)
-
- Patagonia toothfish
- Mackerel Icefish
- Skates
- Macouridae
- Global Change Master Directory Earth Science Keywords, Version 8.5
Resource constraints
- Use limitation
- Data, products and services from IMAS are provided "as is" without any warranty as to fitness for a particular purpose.
Resource constraints
- Other constraints
- This dataset is the intellectual property of the University of Tasmania (UTAS) through the Institute for Marine and Antarctic Studies (IMAS).
Resource constraints
- Linkage
-
https://licensebuttons.net/l/by/4.0/88x31.png
License Graphic
- Title
- Creative Commons Attribution 4.0 International License
- Alternate title
- CC-BY
- Edition
- 4.0
- Website
-
https://creativecommons.org/licenses/by/4.0/
License Text
- Other constraints
- Cite data as: Hill, N., & Williams, J. (2025). AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Future predictions of HIMI demersal Fish [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/SYQT-A046
- Language
- English
- Character encoding
- UTF8
Distribution Information
- Distribution format
-
-
CSV, R, R data, .geoTiff
-
CSV, R, R data, .geoTiff
Resource lineage
- Statement
- Hierarchical Modelling of Species Communities (Hmsc), a flexible framework for Joint Species Distribution Modelling (JSDMs), was used to make future prediction of catch per unit effort (CPUE) under various climate change scenarioes (RCP4.5 and 8.5). Data collected from the Heard Island and McDonald Island (HIMI) Random Stratified Trawl Survey (RSTS) program. For more information on the methodology behind the RSTS please refer to associated publication. RSTS data is subject to confidentiality agreements and can be requested through the website (https://data.aad.gov.au/metadata/records/HIMI_RSTS_Strata). Rasters of the predicted environmental conditions relevant to demersal fish analysis were sourced from various databases and data products and matched with the RSTS data locations For further information on the data and rasters used please refer to the publication. All predicted 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) RSTS 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.
- Hierarchy level
- Dataset
Metadata
- Metadata identifier
-
urn:uuid/aa0e56e3-6f1a-4d79-a5f5-4156a13f3ce2
- Language
- English
- Character encoding
- UTF8
Type of resource
- Resource scope
- Dataset
- Name
- IMAS Dataset level record
- Metadata linkage
-
https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/aa0e56e3-6f1a-4d79-a5f5-4156a13f3ce2
Point of truth URL of this metadata record
- Date info (Creation)
- 2025-02-21T00:00:00
- Date info (Revision)
- 2025-03-07T16:09:40
Metadata standard
- Title
- ISO 19115-3:2018
Overviews
Spatial extent
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