A spatial dataset of topsoil texture for the southern Argentine Pampas
We produced a 1-km spatial resolution dataset of soil texture for the southern Argentine Pampas. Variables related to climate have higher prediction performance for soil texture. The soil texture varies gradually becoming finer westward. Prediction of soil properties in the Argentine Pampas can be i...
| Autores principales: | , , , |
|---|---|
| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
2018
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/2129 https://www.sciencedirect.com/science/article/pii/S2352009417301177 https://doi.org/10.1016/j.geodrs.2017.11.003 |
Ejemplares similares: A spatial dataset of topsoil texture for the southern Argentine Pampas
- Digital soil texture map of Argentina and their relationship to soil - forming factors and processes
- Prediction of topsoil properties at field-scale by using C-band SAR data
- The effects of land management (grazing intensity) vs. the effects of topography, soil properties, vegetation type, and climate on soil carbon concentration in Southern Patagonia
- The impact of agriculture on soil texture due to wind erosion
- Performance of cropping patterns across a soil texture gradient in Costa Rica
- The effect of agriculture on topsoil carbon stocks is controlled by land use, climate, and soil properties in the Argentinean Pampas