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NT mapping of green turtle foraging habitat

Green turtles (Chelonia mydas) are globally endangered and culturally significant to Indigenous Traditional Owners in northern Australia, yet fine-scale understanding of their foraging habitats remains poorly understood, especially along Australia's remote north-coast. This project mapped green turtle foraging habitats in the Northern Territory, through collaboration with Indigenous Traditional Owners and ranger groups, to assist with their sea country management.


Visual classifications of towed video transect data were used in a Support Vector Machine Learning Model to predict habitat in 379 km² of remotely sensed satellite imagery, overlapping the benthic habitats for two green turtle foraging grounds within the joint managed parks: Trepang Bay, Garig Gunak Barlu Marine Park, and Field Island, Kakadu National Park.


Algae and seagrass made up 30% of the Trepang Bay and 18.05% of the Field Island foraging turtle habitat. The classification accuracy of the model showed a high level of agreement at both sites (0.63 for Trepang Bay and 0.75 for Field Island). These habitats provide good foraging grounds for green turtles and the diversity of marine habitats also allows for a range of different age classes of green turtles to use these sites for a range of other behaviours, e.g. resting and predator avoidance.


The simplicity and repeatability of the field methods used in this study allow for future monitoring of marine habitats in remote areas by ranger groups. The findings are useful for conservation planning, including the development of management plans in the Northern Territory.

Simple

Identification info

Date (Publication)
2025-02-05T00:00:00

Identifier

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

Code
10.25959/gsdm-1z24
Codespace
doi.org
Description
Digital Object Identifier (DOI)

Author

Charles Darwin University - Robson, Natalie
Northern Territory
Australia
ROR ID >

Credit
This project was funded by ARC Linkage Grant LP200100222, partnered with Kakadu National Park, Taronga Conservation Society Australia, Northern Territory Parks and Wildlife Service, Larrakia Nation Rangers, Gumurr-Marthakal Rangers and Sea Darwin. The Ranger Exchange and Sea Ranger operational costs were funded through the INPEX Aboriginal Ranger Grants Program and managed by Larrakia Nation. Author Contributions: Natalie Robson conceived and designed the study, developed the methodology, conducted the data collection, and performed the data analysis, mapping, and manuscript writing. Carol Palmer secured funding through the grant application, conducted fieldwork, and supervised the project. Garnet Hooper contributed to survey design, data analysis, visualization, and statistical interpretation, and provided critical feedback on manuscript writing. Sam Banks contributed to the grant application, survey design, and manuscript feedback. Michele Thums provided critical feedback and contributed to manuscript writing. Alana Grech and Joanna Day contributed to the grant application, survey design, and provided manuscript feedback. Robert Risk, Dylan Cooper, and the Kakadu Rangers made significant contributions to data collection. All authors discussed the results, reviewed, and approved the final manuscript.
Status
Completed

Author

Charles Darwin University - Robson, Natalie
Northern Territory
Australia
ROR ID >

Topic category
  • Biota

Extent

N
S
E
W


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S
E
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Temporal extent

Time period
2022-04-26 2024-08-09
Maintenance and update frequency
Not planned
Global Change Master Directory Earth Science Keywords, Version 8.5
  • MARINE
  • MARINE ECOSYSTEMS
  • BENTHIC
AODN Geographic Extents Vocabulary
  • Coastal Waters (Australia) | Coastal Waters (Australia) | Northern Territory Coast, NT

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: Robson, N. (2025). NT mapping of green turtle foraging habitat [Data set]. Institute for Marine and Antarctic Studies. https://doi.org/10.25959/GSDM-1Z24
Other constraints
This dataset is hosted by the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, on behalf of Charles Darwin University for the purposes of the Seamap Australia collaborative project.
Language
English
Character encoding
UTF8

Content Information

Content type
Physical measurement
Description
Appended to original data for styling purposes for the Seamap Australia Project.
Name
Benthic habitat

Name
SM_HAB_CLS

Distribution Information

Distribution format
  • Shapefile

OnLine resource
SHAPE-ZIP

DATA ACCESS - NT turtle foraging habitat (Shapefile)

OnLine resource
seamap:SeamapAus_NT_greenturtle_habitat_2024

MAP - NT turtle foraging habitat

OnLine resource
View & explore data in Seamap Australia

Resource lineage

Statement
Field surveys were conducted through a Ranger Exchange Program led by Larrakia Nation Rangers, involving six ranger groups. An additional exchange occurred between Garig Gunak Barlu National Park Rangers and Garngi Rangers from Croker Island. Contributing groups included Kakadu National Park Rangers, Garig Gunak Barlu National Park Rangers, Larrakia Nation Rangers, Gumurr-Marthakal Rangers, Kenbi Rangers, Garngi Rangers, Tiwi Rangers, and Mardbalk Rangers. Ground-truthing used a towed video system during neap tides to enhance seabed imagery quality (Carroll et al., 2020; Foster et al., 2020). The system comprised a high-definition GoPro Hero 10 mounted on a lightweight, ballasted PVC frame. A wide-angle dive torch above the camera illuminated the seabed at an oblique angle to reduce backscatter. Transect locations were recorded using a handheld Garmin GPSMap 64 (accuracy <5 m), with depth logged from the vessel’s depth sounder. Images were analyzed using a 10 × 10 grid to quantify percent cover of biota and substrate types. Sessile organisms or substrate elements covering over half a grid square (≥0.5%) were recorded as percent cover, while smaller occurrences were marked as ‘present.’ Motile organisms, such as fish, were counted individually. Habitat profiles were categorized as low, medium, or high. Classification followed the Collaborative and Automated Tools for Analysis of Marine Imagery (CATAMI) (Althaus et al., 2015). Transects were classified by depth as ‘Intertidal’ (<3 m) or ‘Subtidal’ (3–20 m) based on vessel depth sounder data and tidal conditions. Sentinel-2 imagery, with a spatial resolution of 10m², was used in ArcGIS PRO to create the habitat classification maps. After pre-processing the imagery, a supervised pixel-based classification model was used in the Training Samples Manager tool in ArcGIS Pro. All the pixels in the image were then statistically compared by their colour, to the pixels defined by the training samples using a Support Vector Machine Learning Model (SVML).
Hierarchy level
Dataset

Metadata

Metadata identifier
urn:uuid/eb7a16ff-9283-4418-a92a-50493dd8c4d6

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/eb7a16ff-9283-4418-a92a-50493dd8c4d6

Point of truth URL of this metadata record

Date info (Creation)
2025-02-04T00:00:00
Date info (Revision)
2025-04-28T08:00:35

Metadata standard

Title
ISO 19115-3:2018
 
 

Overviews

overview1.png
overview.png

Spatial extent

N
S
E
W


N
S
E
W


Keywords

Global Change Master Directory Earth Science Keywords, Version 8.5
BENTHIC MARINE MARINE ECOSYSTEMS

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Associated resources

Not available


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