Operationalising digital soil mapping – Lessons from Australia

Kidd, Darren and Searle, Ross and Grundy, Mike and McBratney, Alex and Robinson, Nathan and O'Brien, Lauren and Zund, Peter and Arrouays, Dominique and Thomas, Mark and Padarian, Jose and Jones, Edward and Bennett, John McLean and Minasny, Budiman and Holmes, Karen and Malone, Brendan P. and Liddicoat, Craig and Meier, Elizabeth A. and Stockmann, Uta and Wilson, Peter and Wilford, John and Payne, Jim and Ringrose-Voase, Anthony and Slater, Brian and Odgers, Nathan and Gray, Jonathan and van Gool, Dennis and Andrews, Kaitlyn and Harms, Ben and Stower, Liz and Triantafilis, John (2020) Operationalising digital soil mapping – Lessons from Australia. Geoderma Regional, 23:e00335. pp. 1-21.

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Australia has advanced the science and application of Digital Soil Mapping (DSM). Over the past decade, DSM in Australia has evolved from being purely research focused to become ‘operational’, where it is embedded into many soil-agency land resource assessment programs around the country. This has resulted from a series of ‘drivers’, such as an increased need for better quality and more complete soil information, and ‘enablers’, such as existing soil information systems, covariate development, serendipitous project funding, collaborations, and Australian DSM ‘champions’. However, these accomplishments were not met without some barriers along the way, such as a need to demonstrate and prove the science to the soil science community, and rapidly enable the various soil agencies' capacity to implement DSM. The long history of soil mapping in Australia has influenced the evolution and culmination of the operational DSM procedures, products and infrastructure in widespread use today, which is highlighted by several recent and significant Australian operational DSM case-studies at various extents. A set of operational DSM ‘workflows’ and ‘lessons learnt’ have also emerged from Australian DSM applications, which may provide some useful information and templates for other countries hoping to fast-track their own operational DSM capacity. However, some persistent themes were identified, such as applicable scale, and communicating uncertainty and map quality to end-users, which will need further development to progress operational DSM.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Sustainable Agricultural Systems (1 Aug 2018 -)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 - 31 Dec 2021)
Date Deposited: 23 Feb 2022 04:16
Last Modified: 28 Mar 2022 03:34
Uncontrolled Keywords: Australia; Digital soil assessment; Digital soil mapping; Land resource assessment; Multiple soil classes; Operational
Fields of Research (2008): 05 Environmental Sciences > 0502 Environmental Science and Management > 050209 Natural Resource Management
05 Environmental Sciences > 0503 Soil Sciences > 050302 Land Capability and Soil Degradation
07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070101 Agricultural Land Management
Fields of Research (2020): 41 ENVIRONMENTAL SCIENCES > 4106 Soil sciences > 410602 Pedology and pedometrics
30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3002 Agriculture, land and farm management > 300202 Agricultural land management
Socio-Economic Objectives (2008): D Environment > 96 Environment > 9614 Soils > 961499 Soils not elsewhere classified
Socio-Economic Objectives (2020): 18 ENVIRONMENTAL MANAGEMENT > 1806 Terrestrial systems and management > 180605 Soils
Identification Number or DOI: https://doi.org/10.1016/j.geodrs.2020.e00335
URI: http://eprints.usq.edu.au/id/eprint/46185

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