Empirical models to predict soil nitrogen mineralization

Detalhes bibliográficos
Autor(a) principal: Camargo,Flávio Anastácio de Oliveira
Data de Publicação: 2002
Outros Autores: Gianello,Clesio, Tedesco,Marino José, Riboldi,João, Meurer,Egon José, Bissani,Carlos Alberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782002000300005
Resumo: Empirical models are mathematical equations that can be fitted to experimental results. The use of these models aims to evaluate or predict observed phenomena or experimental data with the objective of helping the development of adequate soil management practices. Based on these considerations, eight mathematical models described in the literature are compared in the present work, using as experimental data the mineral N accumulated during 32 weeks of incubation in Southern Brazilian soils. To obtain mineralization values experimentally, an incubation-washing procedure with 0.01mol L-1 CaCl2 was used. Mineral N was determined at the beginning of the incubation and in the 2nd, 4th, 8th, 16th and 32nd weeks. Among the models, the best fit was obtained with the simple exponential model to describe the mineralization of organic N in the soils. The double exponential models showed quite good fit, but may be superparametrized. In addition, the hypothesis on which these models are based, i.e., the presence of two forms of organic N susceptible to mineralization, cannot be sustained in this study.
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spelling Empirical models to predict soil nitrogen mineralizationpotentially mineralizable Nmathematical modelssimple and double exponentialN poolsEmpirical models are mathematical equations that can be fitted to experimental results. The use of these models aims to evaluate or predict observed phenomena or experimental data with the objective of helping the development of adequate soil management practices. Based on these considerations, eight mathematical models described in the literature are compared in the present work, using as experimental data the mineral N accumulated during 32 weeks of incubation in Southern Brazilian soils. To obtain mineralization values experimentally, an incubation-washing procedure with 0.01mol L-1 CaCl2 was used. Mineral N was determined at the beginning of the incubation and in the 2nd, 4th, 8th, 16th and 32nd weeks. Among the models, the best fit was obtained with the simple exponential model to describe the mineralization of organic N in the soils. The double exponential models showed quite good fit, but may be superparametrized. In addition, the hypothesis on which these models are based, i.e., the presence of two forms of organic N susceptible to mineralization, cannot be sustained in this study.Universidade Federal de Santa Maria2002-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782002000300005Ciência Rural v.32 n.3 2002reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/S0103-84782002000300005info:eu-repo/semantics/openAccessCamargo,Flávio Anastácio de OliveiraGianello,ClesioTedesco,Marino JoséRiboldi,JoãoMeurer,Egon JoséBissani,Carlos Albertoeng2003-11-03T00:00:00ZRevista
dc.title.none.fl_str_mv Empirical models to predict soil nitrogen mineralization
title Empirical models to predict soil nitrogen mineralization
spellingShingle Empirical models to predict soil nitrogen mineralization
Camargo,Flávio Anastácio de Oliveira
potentially mineralizable N
mathematical models
simple and double exponential
N pools
title_short Empirical models to predict soil nitrogen mineralization
title_full Empirical models to predict soil nitrogen mineralization
title_fullStr Empirical models to predict soil nitrogen mineralization
title_full_unstemmed Empirical models to predict soil nitrogen mineralization
title_sort Empirical models to predict soil nitrogen mineralization
author Camargo,Flávio Anastácio de Oliveira
author_facet Camargo,Flávio Anastácio de Oliveira
Gianello,Clesio
Tedesco,Marino José
Riboldi,João
Meurer,Egon José
Bissani,Carlos Alberto
author_role author
author2 Gianello,Clesio
Tedesco,Marino José
Riboldi,João
Meurer,Egon José
Bissani,Carlos Alberto
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Camargo,Flávio Anastácio de Oliveira
Gianello,Clesio
Tedesco,Marino José
Riboldi,João
Meurer,Egon José
Bissani,Carlos Alberto
dc.subject.por.fl_str_mv potentially mineralizable N
mathematical models
simple and double exponential
N pools
topic potentially mineralizable N
mathematical models
simple and double exponential
N pools
description Empirical models are mathematical equations that can be fitted to experimental results. The use of these models aims to evaluate or predict observed phenomena or experimental data with the objective of helping the development of adequate soil management practices. Based on these considerations, eight mathematical models described in the literature are compared in the present work, using as experimental data the mineral N accumulated during 32 weeks of incubation in Southern Brazilian soils. To obtain mineralization values experimentally, an incubation-washing procedure with 0.01mol L-1 CaCl2 was used. Mineral N was determined at the beginning of the incubation and in the 2nd, 4th, 8th, 16th and 32nd weeks. Among the models, the best fit was obtained with the simple exponential model to describe the mineralization of organic N in the soils. The double exponential models showed quite good fit, but may be superparametrized. In addition, the hypothesis on which these models are based, i.e., the presence of two forms of organic N susceptible to mineralization, cannot be sustained in this study.
publishDate 2002
dc.date.none.fl_str_mv 2002-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782002000300005
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782002000300005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-84782002000300005
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.32 n.3 2002
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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