Assessing productive soil - landscapes in...
URL: https://researchonline.federation.edu.au/vital/access/manager/Repository/vital:11076
Spatial soil information is used to support questions on agriculture and the environment from global to local scales. Historically, soil mapping has been used to inform and guide a multitude of land users with their decisions. Demand for specific spatial soil information is increasing in response from a wider range of users operating across agricultural and environmental domains. To satisfy these demands, users must be provided with practical and relevant spatial soil information. Novel approaches are required to deal with global deficiencies in available soil information. A major limitation to this is the plethora of incongruent legacy data with poor spatial and temporal coverage. This research study initially identifies the specific needs of users for spatial soil information with a focus on the requirements of biophysical modellers. Secondly, error sources that hamper Digital Soil Mapping (DSM) are identified, described and assessed using pH in practical and relevant examples. A final aim is to spatially predict soil properties (e.g. clay mineralogy) that underpin soil chemical behaviour. This is achieved by harmonising legacy data in combination with new spectroscopy techniques and a spatial inference approach. The spatial soil information needs of biophysical modellers in Victoria, Australia were found to be consistent with global needs for information including soil water characteristics, organic carbon and effective rooting depth. To accommodate stochastic and epistemic uncertainties in spatial soil information, uncertainty frameworks proved effective to deal with, and understand the limitations of legacy data in spatial inference models. Robust and reliable spectroscopic models for properties that are linked to functions and services delivered by soil were achieved and used in 3D spatial models. These findings will enable a tactical response through the delivery of pertinent spatial soil information that is contemporary, quality assured and sought by users. Learnings presented should enable producers of spatial soil information to be more comprehensive in their delivery of products that are easy to use, accessible and understood by a growing user community.
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Lisätietoa
| Kenttä | Arvo |
|---|---|
| Data viimeksi päivitetty | tuntematon |
| Metatieto viimeksi päivitetty | 18. joulukuuta 2018 |
| Luotu | tuntematon |
| Muoto | DOCX |
| Lisenssi | Creative Commons Attribution Share-Alike 4.0 |
| Luotu | 7 vuotta sitten |
| Id | c7757323-0438-48f8-8c7d-7de5e0cd4ff6 |
| Package id | dfe5c9b6-2b30-4fa0-9630-0dcc8a23c98d |
| State | active |