Data

AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Future predictions of HIMI demersal Fish

Name: AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Future predictions of HIMI demersal Fish
Published: 2025

Australian Ocean Data Network

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/SYQT-A046&rft.title=AAP Project 4501: Mapping, predicting and monitoring ecological change in the Southern Ocean - Future predictions of HIMI demersal Fish&rft.identifier=10.25959/SYQT-A046&rft.description=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.Maintenance and Update Frequency: asNeededStatement: 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.&rft.creator=Hill, Nicole &rft.creator=Williams, Joel &rft.date=2025&rft.coverage=westlimit=69.6313; southlimit=-55.9396; eastlimit=78.9917; northlimit=-50.7256&rft.coverage=westlimit=69.6313; southlimit=-55.9396; eastlimit=78.9917; northlimit=-50.7256&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=Creative Commons Attribution 4.0 International License https://creativecommons.org/licenses/by/4.0/&rft_rights=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&rft_rights=Data, products and services from IMAS are provided as is without any warranty as to fitness for a particular purpose.&rft_subject=oceans&rft_subject=Climate change&rft_subject=Marine Protected Areas&rft_subject=Species Distribution Modelling&rft_subject=Joint Species Distribution Modelling&rft_subject=Trawl Survey&rft_subject=Long term monitoring&rft_subject=Patagonia toothfish&rft_subject=Mackerel Icefish&rft_subject=Skates&rft_subject=Macouridae&rft_subject=FISHERIES&rft_subject=FISH&rft_subject=EARTH SCIENCE&rft_subject=BIOLOGICAL CLASSIFICATION&rft_subject=ANIMALS/VERTEBRATES&rft_subject=CLIMATE CHANGE IMPACT ASSESSMENT MODELS&rft_subject=EARTH SCIENCE SERVICES&rft_subject=MODELS&rft_subject=MARINE ECOSYSTEMS&rft_subject=BENTHIC&rft_subject=DEMERSAL&rft_subject=Offshore Islands (Australia) | Offshore Islands (Australia) | Heard & McDonald Islands&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=Fisheries Management&rft_subject=AGRICULTURAL AND VETERINARY SCIENCES&rft_subject=FISHERIES SCIENCES&rft.type=dataset&rft.language=English Access the data

Access data via landing page
https://metadata.imas....

Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Open Licence view details

Creative Commons Attribution 4.0 International License
https://creativecommons.org/licenses/by/4.0/

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

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

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

Access:

Other

Brief description

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.

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 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.

Notes

Credit
Australian Antarctic Program

Issued: 27 02 2025

Data time period: 2000-01-01

This dataset is part of a larger collection

Click to explore relationships graph

text: westlimit=69.6313; southlimit=-55.9396; eastlimit=78.9917; northlimit=-50.7256

Subjects

User Contributed Tags

Other Information

(DATA DOWNLOAD - modelled future predictions of HIMI demersal fish)

uri : https://data.imas.utas.edu.au/attachments/aa0e56e3-6f1a-4d79-a5f5-4156a13f3ce2/ External Link

ror : 00arpt780

Identifiers

DOI : 10.25959/SYQT-A046
global : aa0e56e3-6f1a-4d79-a5f5-4156a13f3ce2

Similar data you may be interested in: