Nonlinear modeling with sandwich estimator approach to analyze soil carbon profile.

Nonlinear modeling with sandwich estimator approach to analyze soil carbon profile.

This study aimed to i) apply the basis of the nonlinear models theory with least squares method using sandwich estimators to a dataset formed by the C content along the soil profile in the Crop-Livestock-Forest Integration system (ILPF); ii) use bootstrap resampling to enhance the precision of the estimates and carbon dynamics along the soil profile.

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Bibliographic Details
Main Authors: BIASE, A. G., AZEVEDO, I. F. S., CHAVES, S. S. de F., MELO, M. N., DIAS, C. T. dos S., MARTORANO, L. G., CAMARGO, P. B. de, SILVA, A. R., REICHARDT, K.
Other Authors: Adriele Giaretta BIASE, ESALQ; Iábita Fabiana Souza AZEVEDO, ESALQ; Siglea Sanna de Freitas CHAVES, ESALQ; Marcello Neiva MELO, UFRA; Carlos Tadeu dos Santos DIAS, ESALQ; LUCIETA GUERREIRO MARTORANO, CPATU; Plínio Barbosa de CAMARGO, ESALQ; ARYSTIDES RESENDE SILVA, CPATU; Klaus REICHARDT, ESALQ.
Format: Anais e Proceedings de eventos biblioteca
Language:English
eng
Published: 2016-11-24
Subjects:Modelagem., Carbono, Solo.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1057111
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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1057111

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