the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A Bioavailable Strontium Isoscape of Australia
Abstract. Strontium isotope ratios (⁸⁷Sr/⁸⁶Sr) at the Earth’s surface offer powerful tools for geological, environmental, and archaeological applications. In minerals and biological materials, ⁸⁷Sr/⁸⁶Sr reflects the isotopic composition of the local bedrock and derived soils. In Australia, however, large regional-scale surveys of bioavailable ⁸⁷Sr/⁸⁶Sr remain scarce. Here, we present a new dataset of bioavailable ⁸⁷Sr/⁸⁶Sr ratios from 278 catchment outlet (floodplain) sediment samples, spanning inland southeastern Australia (South Australia, New South Wales, Victoria), northern Western Australia, the Northern Territory, Queensland (north of 21.5° S), and the Yilgarn Craton in southern Western Australia. Combined with more than 20,000 global Sr isotope measurements, this dataset was used to generate a high-resolution isoscape of Australia using random forest regression (Bataille et al., 2020).
Australian bioavailable ⁸⁷Sr/⁸⁶Sr values span a narrower range (0.70501–0.78121) compared to co-located bulk sediment values (0.70480–1.09089) (Caritat et al., 2022, 2023, 2025b), reflecting the influence of soluble and exchangeable mineral phases and atmospheric inputs such as rain and dust. The predicted isoscape reproduces major geological patterns, with higher values over ancient crustal provinces like the Yilgarn Craton and eastern Palaeozoic orogens, and lower values across younger sedimentary basins and coastal margins. Model uncertainty, assessed via prediction standard deviations, is lowest across well-sampled, geologically stable regions and highest in coastal and lithologically complex zones. Compared to existing global and regional isoscapes, our model offers significantly improved coverage and resolution for Australia. This isoscape provides a robust baseline for applications in provenance research, palaeoecology, and environmental geochemistry.
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RC1: 'Comment on essd-2025-277', Anonymous Referee #1, 16 Jul 2025
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A Bioavailable Strontium Isoscape of Australia
Anthony Dosseto, Florian Dux, Clément Bataille, Patrice de Caritat
Abstract
Can you better define the difference between the catchment outlet sediment samples used in this study, and the co-located bulk sediments to which results are compared.
Introduction
Line 49-50: also Sr content and more specifically the elemental Rb/Sr ratio. A high Rb content will move the 87Sr/86Sr ratio little if the Sr content is very high, but will significantly move this ratio if the Sr content is very low. So the Rb/Sr ratio is key. A little comment, but important to note.
Study Area
Material and Methods
Material
Some repetition with Study Area section, these could be combined?
Methods
The 87Sr/86Sr data were not referenced to a specific value for SRM987? If these were, then please provide this reference value to allow easy re-referencing in future to other data sets. Or at least the average for the SRM987 analyses during this project. That should also allow for comparison between datasets generated in different facilities.
Strontium Isoscape Calculation
Results
Bioavailable and Bulk ⁸⁷Sr/⁸⁶Sr Distributions
Fig 3. Colours of histogram differ from legend
Fig 4. Use same colours for regions as in Fig 2. Using consistent colours for the same subsets makes it easier for the reader to “move” between figures
Predicted Isoscape and Regional Patterns
Line 197: the colour range used in Fig 5 makes it very difficult to clearly discern the marine influence in the northern and northwestern Australia. It will take a keen eye to teel the difference between a value of 0.715 and 0.709 using the blue in the colour range.
Prediction Uncertainty
I agree that Fig 6 is critical to assess the model output, but again the colour range used makes it very difficult as most of the figure is variable shades of dark blue.
Model Performance and Variable Importance
Discussion
Line 235: again, it doesn’t matter to the 87Sr/86Sr ratio if the rock is rich in Rb if it is also rich in Sr, and the 87Sr/86Sr value can significantly change if the rock has average or low Rb and EVEN lower Sr. So, Rb/Sr elemental ratio trumps Rb concentration only
Line 245: yes, but it is difficult to use Fig 6 for the purpose of assess local uncertainty with the current colour scheme. Can alternative schemes be tested?
Conclusions
General comment
The Sr isoscape produced is impressive and will indeed be invaluable for future research. I realise this is not included at the moment, but a small test application as example would add greatly to the manuscript. If the authors have some 87Sr/86Sr data for plant material for a specific region or site in Australia at hand – say from some published project – this could be used to show that the isoscape can be used to provenance these to the right place.
Citation: https://doi.org/10.5194/essd-2025-277-RC1
Data sets
A bioavailable strontium isoscape of Australia. Initial contribution P. de Caritat et al. https://dx.doi.org/10.26186/150024
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