How accurate are pedotransfer functions for bulk density for Brazilian soils?

The aim of this study was to evaluate the predictive capability of PTFs available in the literature to estimate soil pb in different regions of Brazil, using different metrics (mean absolute error (MAE), root mean squared error (RMSE), mean error (ME) and regression error characteristic (REC) curve).

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Bibliographic Details
Main Authors: BOSCHI, R. S., BOCCA, F. P., LOPES-ASSAD, M. L. R. C., ASSAD, E. D.
Other Authors: RAQUEL STUCHI BOSCHI, Esalq/USP; FELIPE FERREIRA BOCCA, Feagri/Unicamp; MARIA LEONOR RIBEIRO CASIMIRO LOPES-ASSAD, UFSCar; EDUARDO DELGADO ASSAD, CNPTIA.
Format: Artigo de periódico biblioteca
Language:English
eng
Published: 2018-09-05
Subjects:Base de dados de solos, Densidade de solo, REC curve, Model evaluation, Soil database, Tropical soil, Solo Tropical,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1095103
http://dx.doi.org/10.1590/1678-992X-2016-0357
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Summary:The aim of this study was to evaluate the predictive capability of PTFs available in the literature to estimate soil pb in different regions of Brazil, using different metrics (mean absolute error (MAE), root mean squared error (RMSE), mean error (ME) and regression error characteristic (REC) curve).