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Shark and Ray National SDM Project - Predicted habitat suitability for Australian chondrichthyans

This collection contains predicted range and habitat suitability maps for 220 species of chondrichthyans (sharks, rays, and chimaeras) across Australian waters (7°–49°S, 106°–162°E, excluding offshore territories), representing approximately 68% of Australia's known chondrichthyan fauna.


Occurrence records were compiled from 43 heterogeneous data sources, including national and state fisheries observer programs, scientific surveys, biodiversity repositories, acoustic telemetry networks, baited remote underwater video surveys, and beach protection programs, yielding approximately 3.37 million initial records and 2.54 million cleaned records. For all 220 species, an expert validated distribution range surface is provided. For 210 species, two additional habitat suitability prediction layers are included (~5 km resolution), derived at fixed sensitivity thresholds (95% and 90%) representing conservative estimates of the native suitable range.


All outputs underwent structured expert review by taxonomic and regional specialists prior to release. Habitat suitability layers were withheld where predictions were judged to reflect sampling artefact rather than ecological signal, regardless of model performance metrics. Users should be aware that even validated suitability layers carry inherent limitations common to presence-only species distribution models at national scales, including residual sampling bias, static environmental predictors, and coarse spatial resolution (~5 km) that cannot resolve fine-scale habitat features relevant to nearshore or habitat-specialist species. These outputs are best interpreted as broad-scale indicators of environmental suitability rather than fine-scale habitat occupancy maps and should be used alongside other lines of evidence in conservation and management applications. A full description of methods, assumptions, and caveats is provided in the associated publication (De Wysiecki et al. in press).


This work was funded by the Australian Government through the Parks Australia Our Marine Parks Grant (OMPG4-07), led by the Department of Primary Industries and Regional Development of Western Australia (DPIRD) in collaboration with Curtin University.

Simple

Identification info

Date (Publication)
2026-07-31T00:00:00

Resource provider

Institute for Marine and Antarctic Studies

Principal investigator

Department of Primary Industries and Regional Development - Braccini, Matias
ROR ID >

ORCID >

Principal investigator

Curtin University - De Wysiecki, Agustin
ROR ID >

ORCID >

Purpose
Predictions are intended to support marine biodiversity assessment, marine spatial planning, fisheries bycatch risk assessment, and conservation management across Australia's network of marine protected areas.
Credit
AFMA and all State Fisheries Departments, as well as the QLD Shark Control and NSW Shark Meshing programs provided catch and survey data. GlobalArchive and The Fish Collective for providing access to the Australian BRUVs synthesised data for which quality control was provided using CheckEM. IMOS repository provided national telemetry data. More than 20 collaborators across national and state fisheries, universities, and research institutes provided data and expertise during the project.
Status
On going

Point of contact

Department of Primary Industries and Regional Development - Braccini, Matias
Western Australia
Australia
ROR ID >

ORCID >

Point of contact

Curtin University - De Wysiecki, Agustin
Western Autralia
Australia
ROR ID >

ORCID >

Topic category
  • Biota

Extent

N
S
E
W


Temporal extent

Time period
2025-01-10
Maintenance and update frequency
As needed
Keywords (Theme)
  • Species Distribution Models
  • Chondrichthyans
  • Sharks and rays
  • Data Integration
  • Seamap
  • Map predictions
  • Bio-Oracle
  • Modelling Framework
Global Change Master Directory Earth Science Keywords, Version 8.5
  • ANIMAL SCIENCE
  • ANIMAL ECOLOGY AND BEHAVIOR
  • MACROFAUNA
AODN Geographic Extents Vocabulary
  • Countries | Countries | Australia

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
Braccini, M. & De Wysiecki, A. (2026). Shark and Ray National SDM Project - Predicted habitat suitability for Australian chondrichthyans. Data accessed from https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/35916744-f7a6-4dbe-b1e1-f6d213528f0c on [access date].

Resource constraints

Other constraints
This dataset is the intellectual property of DPIRD (WA Government) and Curtin University.
Language
English
Character encoding
UTF8

Distribution Information

OnLine resource
Explore habitat suitability predictions for 220 species of chondrichthyans in Seamap Australia

Resource lineage

Statement
Habitat suitability predictions were generated using a dual-track ensemble species distribution modelling (SDM) framework implemented in R. Species with ≥50 occurrence records (n = 152) were modelled using a standard multi-algorithm ensemble combining eight algorithms (GLM, GAM, GAU, MaxEnt, RF, SVM, GBM, and ANN); species with 20–49 records (n = 68) were modelled using an Ensemble of Small Models (ESM) approach across seven algorithms. Prior to modelling, occurrence records underwent spatial and taxonomic quality control, including coordinate validation, taxonomic standardisation, expert validation through collaborative workshops, and environmental filtering to reduce spatial autocorrelation and sampling bias. Environmental predictors were sourced from Bio-ORACLE v3.0 as decadal averages (2000–2020) at 0.05° resolution (~5 km) and were selected according to each species' primary habitat association (pelagic, epibenthic, or deepwater). Model performance was evaluated using the Continuous Boyce Index and AUC under spatial block cross-validation. Final ensemble predictions were weighted by individual model performance scores and projected across the study region. Post-processing steps included extrapolation masking using the Mobility-Oriented Parity metric and a dispersal-based distance-decay constraint to limit predictions beyond ecologically accessible areas.
Hierarchy level
Dataset

Metadata

Metadata identifier
urn:uuid/35916744-f7a6-4dbe-b1e1-f6d213528f0c

Language
English
Character encoding
UTF8

Distributor

Institute for Marine and Antarctic Studies - (IMAS Data Manager)
IMAS website >

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/35916744-f7a6-4dbe-b1e1-f6d213528f0c

Point of truth URL of this metadata record

Date info (Creation)
2026-05-26T00:00:00
Date info (Revision)
2026-08-12T23:20:51

Metadata standard

Title
ISO 19115-3:2018
 
 

Overviews

Australian sharks & rays species distribution modelling - data preview

Spatial extent

N
S
E
W


Keywords

Bio-Oracle Chondrichthyans Data Integration Map predictions Modelling Framework Seamap Sharks and rays Species Distribution Models
Global Change Master Directory Earth Science Keywords, Version 8.5
ANIMAL ECOLOGY AND BEHAVIOR ANIMAL SCIENCE MACROFAUNA

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Read here the full details and access to the data.

Associated resources

Not available


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