Introducing a mechanistic model in digital soil mapping to predict soil organic matter stocks in the Cantabrian region (Spain)
Digital soil mapping (DSM) is an effective mapping technique that supports the increased need for quantitative soil data. In DSM, soil properties are correlated with environmental characteristics using statistical models such as regression. However, many of these relationships are explicitly describ...
| Main Authors: | , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/113606 |
Similar Items: Introducing a mechanistic model in digital soil mapping to predict soil organic matter stocks in the Cantabrian region (Spain)
- When can legacy soil data be used, and when should new data be collected instead?
- A mechanistic understanding of the effect of lime and compost on soil cadmium availability in cacao farms
- The phytosanitary situation of cypress in Spain and the new prospect
- Relative importance of soil organic matter, soil litter and litter fall in the tropics
- Soil data for yield gap assessment and soil suitability index for sustainable intensification
- Emerging ecological trends in West Africa: implications on soil organic matter and other soil quality indicators