Abstract
This research defines a region-specific tuning methodology for internationally accepted soil carbon (C) turnover models. Due to the complex relationships between climate, soil, landscape, and land management leading to cross-field soil C content variations, modelling provides high definition estimates without the cost of intensive sampling. Additionally, balancing science community accuracy and agricultural community practicality within soil C modelling brings soil C estimation to the farm gate through automation, sensitivity simplification and local knowledge integration. The SWARM (South-Western Australian RothC Modelling) Tool exemplifies a globally-applicable methodology which provides fine-scale soil carbon estimation and optimal land selection for carbon sequestration initiatives.
| Original language | English |
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| Qualification | Doctor of Philosophy |
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| Award date | 25 May 2020 |
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| Publication status | Unpublished - 2020 |
Access to Document
- THESIS - DOCTOR OF PHILOSOPHY - OTWAY Jolene - 2020
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