Articles | Volume 15, issue 6
https://doi.org/10.5194/essd-15-2465-2023
https://doi.org/10.5194/essd-15-2465-2023
Data description paper
 | 
14 Jun 2023
Data description paper |  | 14 Jun 2023

Digital soil mapping of lithium in Australia

Wartini Ng, Budiman Minasny, Alex McBratney, Patrice de Caritat, and John Wilford

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-418', Anonymous Referee #1, 08 Feb 2023
    • AC1: 'Reply on RC1', Wartini Ng, 05 May 2023
  • RC2: 'Comment on essd-2022-418', Anonymous Referee #2, 04 Apr 2023
    • AC2: 'Reply on RC2', Wartini Ng, 05 May 2023
  • RC3: 'Comment on essd-2022-418', Anonymous Referee #3, 27 Apr 2023
    • AC3: 'Reply on RC3', Wartini Ng, 05 May 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Wartini Ng on behalf of the Authors (08 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (12 May 2023) by Attila Demény
AR by Wartini Ng on behalf of the Authors (13 May 2023)
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Short summary
With a higher demand for lithium (Li), a better understanding of its concentration and spatial distribution is important to delineate potential anomalous areas. This study uses a framework that combines data from recent geochemical surveys and relevant environmental factors to predict and map Li content across Australia. The map shows high Li concentration around existing mines and other potentially anomalous Li areas. The same mapping principles can potentially be applied to other elements.
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