Prediction stock of soil organic carbon in Argentina
- Olmedo, Guillermo F.
- Angelini, Marcos E.
- Schulz, Guillermo A.
- Rodríguez, Darío M.
- Taboada, Miguel A.
- Pascale, Carla
- Escobar, Dardo
- Guevara, Mario
- Heuvelink, Gerard B.M.
- Colazo, Juan C.
- Gaitán, Juan J.
- Aleksa, Alicia S.
- Babelis, Germán C.
- Peralta, Alfredo R.
- Peralta, Guillermo
- Rojas, Julieta M
- Sainz Rozas, Hernán R.
- Vizgarra, Lidia A.
Publication date
June 2018
DOIAbstract
We standardized the Stocks soil organic carbon (SOC) at 0-30 cm depth for 5,073 soil samples. We spatially predicted SOC stock (kg/m2) using regression forest and associated prediction uncertainties using quantile regression forest at 1000 m resolution. Global accuracy based on cross-validation. We obtained a RMSE 2.624 and Rsquared 0.464
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