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Performance of the RothC-26.3 model in short-term experiments in Mexican sites and systems

Published online by Cambridge University Press:  10 March 2011

L. GONZÁLEZ-MOLINA ,
J. D. ETCHEVERS-BARRA ,
F. PAZ-PELLAT ,
H. DÍAZ-SOLIS ,
M. H. FUENTES-PONCE ,
S. COVALEDA-OCÓN  and
M. PANDO-MORENO
L. GONZÁLEZ-MOLINA*
Affiliation:
Universidad Autónoma Chapingo. Km. 38.5 Carr. México-Texcoco. Chapingo, Edo. México. México. C.P. 56230
J. D. ETCHEVERS-BARRA
Affiliation:
Edafología, Campus Montecillo, Colegio de Postgraduados, 56230 Montecillo, Estado de México
F. PAZ-PELLAT
Affiliation:
Edafología, Campus Montecillo, Colegio de Postgraduados, 56230 Montecillo, Estado de México
H. DÍAZ-SOLIS
Affiliation:
Edafología, Campus Montecillo, Colegio de Postgraduados, 56230 Montecillo, Estado de México
M. H. FUENTES-PONCE
Affiliation:
Universidad Autónoma Metropolitana-Xochimilco, Laboratorio de Fisiología y Tecnología de Cultivos, Calzada del Hueso 1100, Col. Villa Quietud, 04960, D.F., México
S. COVALEDA-OCÓN
Affiliation:
Edafología, Campus Montecillo, Colegio de Postgraduados, 56230 Montecillo, Estado de México
M. PANDO-MORENO
Affiliation:
Edafología, Campus Montecillo, Colegio de Postgraduados, 56230 Montecillo, Estado de México
*
*To whom all correspondence should be addressed. Email: lucilaag@colpos.mx
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Summary

Information on the performance of the Rothamsted organic carbon turnover model (RothC model) in predicting changes in soil organic carbon (SOC) in short-term experiments is scarce. In Mexico, it was found that these experiments covered not more than 20 years. The purpose of the present study was to evaluate short-term SOC prediction performance of the RothC model in the following systems: (1) farming with residues added (A+R), (2) farming with no added residues (A−R), (3) pure forest stands (F), (4) grasslands (GR) and (5) rangeland (RL). Work was done in five experimental sites: Atécuaro, Michoacán; Santiago Tlalpan, Tlaxcala; El Batán, State of Mexico; Sierra Norte, Oaxaca; and Linares, Nuevo León. Carbon (C) inputs to the soil were plant residues and organic fertilizers, which need to be known to operate the RothC model. The adjustment coefficients for site modelling had R2 values of 0·77–0·95 and model efficiency (EF) was −0·60 to 0·93. When RothC performance was evaluated by a system, R2 values were 0·06–0·92 and EF was −0·24 to 0·90. The low R2 and EF values in rangelands were attributed to the fact that these systems are complex because of heterogeneous vegetation, soil and climate. In general, the evaluation of the RothC model indicates that it can be useful in simulating SOC changes in temperate and warm climate sites and in farming, forest and grassland systems in Mexico.

Type
Climate Change and Agriculture
Information
The Journal of Agricultural Science , Volume 149 , Issue 4 , August 2011 , pp. 415 - 425
Copyright
Copyright © Cambridge University Press 2011

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