Avaliação do modelo snap para predizer a mineralização de nitrogênio em solos de plantações de eucalipto

6Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The Soil Nitrogen Availability Predictor (SNAP) model predicts daily and annual rates of net N mineralization (NNM) based on daily weather measurements, daily predictions of soil water and soil temperature, and on temperature and moisture modifiers obtained during aerobic incubation (basal rate). The model was based on in situ measurements of NNM in Australian soils under temperate climate. The purpose of this study was to assess this model for use in tropical soils under eucalyptus plantations in São Paulo State, Brazil. Based on field incubations for one month in three, NNM rates were measured at 11 sites (0-20 cm layer) for 21 months. The basal rate was determined in in situ incubations during moist and warm periods (January to March). Annual rates of 150-350 kg ha -1 yr -1 NNM predicted by the SNAP model were reasonably accurate (R 2 = 0.84). In other periods, at lower moisture and temperature, NNM rates were overestimated. Therefore, if used carefully, the model can provide adequate predictions of annual NNM and may be useful in practical applications. For NNM predictions for shorter periods than a year or under suboptimal incubation conditions, the temperature and moisture modifiers need to be recalibrated for tropical conditions.

Cite

CITATION STYLE

APA

Smethurst, P. J., Gonçalves, J. L. de M., Pulito, A. P., Gomes, S., Paul, K., Alvares, C. A., & Arthur Júnior, J. C. (2015). Avaliação do modelo snap para predizer a mineralização de nitrogênio em solos de plantações de eucalipto. Revista Brasileira de Ciencia Do Solo, 39(2), 523–532. https://doi.org/10.1590/01000683rbcs20140379

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free