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Testing the effects of scale on benthic habitat modelling in the South-west Corner Marine Park (NESP MaC 2.3)

This dataset presents the results of a seafloor habitat modeling exercise for the 'Capes region' of the South-west Corner Marine Park, southern WA. The model classifies five broad habitat types (hereafter 'ecosystem components'): seagrass, macroalgae, sessile invertebrates, bare consolidated substrata, and bare unconsolidated substrata. Modeling was conducted at two spatial scales to assess the effectiveness of using broad-scale (~250 m) spatial covariates derived from bathymetry in mapping habitat classes and to compare the modelling outcomes with those obtained using finer-resolution input data.


The fine-scale mapping focused on an IUCN II zone near Margaret River, using a seamless 5 m resolution multibeam bathymetry composite. The broad-scale mapping covered multiple IUCN zones, including the southwestern Geographe Australian Marine Park (AMP), the northwestern tip of the South-west Corner AMP, and the Ngari Capes WA State Marine Park. This component used the 250 m resolution 2023 AusBathyTopo grid from Geoscience Australia.


Habitat maps were constructed using

(1) the bathymetry data sources described above;

(2) ground-truthing observations from stereo-BRUV and BOSS camera systems; and

(3) Physical covariates, all smoothed to 5 m or 250 m resolution, for the fine- and broad-scale mapping, respectively.


Source datasets are available from:

• Geoscience Australia's eCat: https://dx.doi.org/10.26186/145281 (5 m multibeam bathymetry) and https://doi.org/10.26186/148758 (250 m DEM bathymetry)

• Squidle+: http://squidle.org/geodata/explore (benthic imagery annotations - see also outputs from NESP MaC Project 2.4: https://doi.org/10.25959/6G5A-3G03)

• AODN Portal: https://portal.aodn.org.au/search (IMOS oceanographic datasets).


This analysis uses the modelling methodology developed in NESP Project 2.1, which extended the ecosystem component modelling to include all temperate Australian shelf waters at a resolution of 250 m ( https://doi.org/10.25959/BVJ7-D984). Analysing the scale effects effects of spatial covarariate inputs was undertaken by NESP Project 2.3, along with exploration of visualisation options regarding prediction certainty in consultation with Parks Australia (management end-users). Further details on sampling design for ground-truthing observations and the modelling techniques are available in the NESP MaC Project 2.1 Final Report: https://www.nespmarinecoastal.edu.au/publication/improving-seabed-habitat-predictions-for-southern-australia. A description on this specific South-west Corner case study and the spatial scale analysis is described in the NESP MaC Project 2.3 Final Report: https://www.nespmarinecoastal.edu.au/publication/improving-knowledge-transfer-to-support-australian-marine-park-decision-making-and-management-effectiveness-evaluation.


A selection of mapping (WMS) services are listed in the 'Downloads & Links' section of this record. See the 'Lineage' section for a full description of the data packages available for download, and for more visualisation options.

Simple

Identification info

Date (Creation)
2024-05-13

Identifier

Title
Information and documentation - Digital object identifier system
Citation identifier
ISO 26324:2012

Code
10.25959/2RKJ-H521
Codespace
doi.org
Description
Digital Object Identifier (DOI)

Principal investigator

Oceans Institute - Langlois, Tim
The University of Western Australia
Western Australia
Australia
ROR ID >

ORCID >

Collaborator

Institute for Marine and Antarctic Studies - Monk, Jacquomo
University of Tasmania
Tasmania
Australia
ROR ID >

ORCID >

Collaborator

Oceans Institute - Spencer, Claude
The University of Western Australia
ROR ID >

ORCID >

Collaborator

Data61 - Wooley, Skipton
CSIRO
ROR ID >

ORCID >

Contributor

Institute for Marine and Antarctic Studies - Flukes, Emma
University of Tasmania
ROR ID >

ORCID >

Contributor

Oceans Institute - Gibbons, Brooke
The University of Western Australia
ROR ID >

ORCID >

Contributor

Data61 - Hayes, Keith
CSIRO
ROR ID >

ORCID >

Credit
National Environmental Science Program (NESP) Marine and Coastal Hub
Credit
Department of Climate Change, Energy, the Environment and Water (DCCEEW), Australian Government
Credit
In addition to NESP (DCCEEW) funding, this project is matched by an equivalent amount of in-kind support and co-investment from project partners and collaborators.
Status
complete

Point of contact

Oceans Institute - Langlois, Tim
The University of Western Australia
Western Australia
Australia
ROR ID >

ORCID ID >

Point of contact

Institute for Marine and Antarctic Studies - Monk, Jacquomo
University of Tasmania
Tasmania
Australia
ROR ID >

ORCID ID >

Topic category
  • Biota
  • Environment

Extent



Temporal extent

Time period
2020-01-01 2024-01-30

Vertical element

Minimum value
10
Maximum value
250
Identifier
EPSG::5715
Name
MSL depth
Maintenance and update frequency
none-planned

Resource format

Date
Keywords (Theme)
  • National Environmental Science Program (NESP) Marine and Coastal Hub
NASA/GCMD Keywords, Version 8.5
  • KELP FOREST
  • SPONGES
  • MACROALGAE (SEAWEEDS)
  • SEAGRASS
  • BENTHIC
  • MARINE ECOSYSTEMS
Australian and New Zealand Standard Research Classification (ANZSRC): Fields of Research
  • Environmental Science and Management not elsewhere classified
  • Marine and Estuarine Ecology (incl. Marine Ichthyology)
  • Conservation and Biodiversity

Resource constraints

Classification
Unclassified

Resource constraints

Linkage
http://i.creativecommons.org/l/by/4.0/88x31.png

License Graphic

Title
Creative Commons Attribution 4.0 International License


>

Website
http://creativecommons.org/licenses/by/4.0/

License Text

Other constraints
Cite data as: Langlois, T., Monk, J., Spencer, C., Flukes, E., Gibbons, B., & Hayes, K. (2025). Testing the effects of scale on benthic habitat modelling in the South-west Corner Marine Park [Data set]. Institute for Coastal Marine Environment. https://doi.org/10.25959/2RKJ-H521

Resource constraints

Other constraints
This dataset is hosted by the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, on behalf NESP Marine and Coastal Hub Projects 2.1 & 2.3.

Resource constraints

Use limitation
Data was sourced from the NESP Marine and Coastal Hub – the Marine and Coastal Hub is supported through funding from the Australian Government’s National Environmental Science Program (NESP), administered by the Department of Climate Change, Energy, the Environment and Water (DCCEEW).
Language
English
Character encoding
UTF8

Distribution Information

Distribution format
  • GeoTIFF

OnLine resource
DATA ACCESS - Explore and individually download individual data files, ReadMe etc.

OnLine resource
DATA ACCESS - Full data package (.zip of above)

OnLine resource
View & explore South-west Corner finescale (5m) model outputs in Seamap Australia

OnLine resource
View & explore South-west Corner broadscale (250m) model outputs in Seamap Australia

Interact with quantile thresholds by selecting an Ecosystem Component from the layer tab options.

OnLine resource
GitHub repo for South-West Corner benthos and fish survey design and analysis

OnLine resource
Related Publication: NESP 2.1 Final Report - modelling methodology

OnLine resource
Related Publication: NESP 2.3 Final Report - scale-based analysis

OnLine resource
SWC_finescale_EcosystemComponents5class_mean

MAP - fine-scale ecosystem component model

OnLine resource
SWC_broadscale_EcosystemComponents5class_mean

MAP - broad-scale ecosystem component model

Resource lineage

Statement
This modelling approach used a Bayesian implementation of a multinomial generalised linear model. Ground-truthing benthic annotations for mobile species (e.g. echinodermata) were discarded. All remaining annotations were collapsed into the five broad ecosystem components. See NESP Marine and Coastal Project 2.1 final report for a full description of the sampling design, annotation technique, and modelling approach. A key objective of this work was to compare the habitat modelled using input data at high resolution (where available), with that generated from low resolution bathymetric model data, which is readily available and has full coverage of Australian waters (see Beaman, R. (2024). AusBathyTopo (Australia) 250m 2024 - A national-scale depth model. https://dx.doi.org/10.26186/150050). A secondary objective was to evaluate two approaches for presenting model outputs to better support marine management decisions. Both modeling scales provide predicted mean probability of occurrence for each ecosystem component, while the broad-scale model also incorporates model uncertainty, allowing users to define a minimum acceptable occurrence threshold based on their specific needs. ---FINE-SCALE (5 m) MODEL--- https://data.imas.utas.edu.au/attachments/seamap_predicted_habitat/southwest_corner/finescale This approach models the mean probability of occurrence for each of the five ecosystem components (seagrass, sessile invertebrates, macroalgae, bare consolidated, bare unconsolidated) at 5 metre resolution. The data is packaged in two formats: (1) five individual raster files, each representing the mean probability of occurrence for a different ecosystem component. (2) a single 5-band raster where each band corresponds to the mean probability of occurrence for a different ecosystem component: Band 1 = bare consolidated, band 2 = macroalgae, Band 3 = seagrass, Band 4 = bare unconsolidated, Band 5 = sessile invertebrates See ReadMe file for a full description of the data package. ---BROAD-SCALE (250 m) MODEL--- https://data.imas.utas.edu.au/attachments/seamap_predicted_habitat/southwest_corner/broadscale This approach models the same five ecosystem components at 250 metre resolution and provides outputs in two complementary formats: (1) Continuous Probability Estimates Presents set of three rasters for each ecosystem component, representing: - Lower 95th credible interval (0.025 quantile): the lower bound of the predicted probability range. - Mean probability of occurrence: the central estimate based on the posterior distribution. - Upper 95th credible interval (0.975 quantile): the upper bound of the predicted probability range. (2) Thresholded Probability Estimates Presents a set of rasters capturing model certainty at 10 probability thresholds (0.000001 - 0.9) for each ecosystem component. Each raster represents a specific probability threshold (quantile) and indicates the model's certainty that a given habitat class occurs at or above that threshold. This provides a structured way to assess model confidence across different probability levels. This dual representation allows for both a continuous probability assessment and a threshold-based evaluation of model confidence across different probability levels. See ReadMe file for a full description of the data package.
Hierarchy level
Dataset

Metadata

Metadata identifier
urn:uuid/e1ca78ee-8b4f-42d3-b60a-13bf44faf95b

Language
English
Character encoding
UTF8

Point of contact

Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) - Emma Flukes (NESP Marine and Coastal Hub Data Manager (Southern node))
Parent metadata
  • NESP MaC Project 2.3 - Improving knowledge transfer to support Australian Marine Park decision making and management effectiveness evaluation

Type of resource

Resource scope
Dataset
Metadata linkage
https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/e1ca78ee-8b4f-42d3-b60a-13bf44faf95b

Point of truth URL of this metadata record

Date info (Creation)
2024-05-13T11:44:25
Date info (Revision)
2025-03-03T09:19:08

Metadata standard

Title
ISO 19115-3:2018
 
 

Overviews

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ss03.png
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Spatial extent

Keywords

National Environmental Science Program (NESP) Marine and Coastal Hub
Australian and New Zealand Standard Research Classification (ANZSRC): Fields of Research
Conservation and Biodiversity Environmental Science and Management not elsewhere classified Marine and Estuarine Ecology (incl. Marine Ichthyology)
NASA/GCMD Keywords, Version 8.5
BENTHIC KELP FOREST MACROALGAE (SEAWEEDS) MARINE ECOSYSTEMS SEAGRASS SPONGES

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Read here the full details and access to the data.

Associated resources

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