Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Scientia Agrícola (Online) |
Texto Completo: | https://www.revistas.usp.br/sa/article/view/48825 |
Resumo: | Insight of nutrient release patterns associated with the decomposition of plant residues is important for their effective use as a green manure in food production systems. Thus, this study aimed to evaluate the ability of the Century, APSIM and NDICEA simulation models for predicting the decomposition and N mineralization of crop residues in the tropical Atlantic forest biome, Brazil. The simulation models were calibrated based on actual decomposition and N mineralization rates of three types of crop residues with different chemical and biochemical composition. The models were also validated for different pedo-climatic conditions and crop residues conditions. In general, the accuracy of decomposition and N mineralization improved after calibration. Overall RMSE values for the decomposition and N mineralization of the crop materials varied from 7.4 to 64.6% before models calibration compared to 3.7 to 16.3 % after calibration. Therefore, adequate calibration of the models is indispensable for use them under humid tropical conditions. The NDICEA model generally outperformed the other models. However, the decomposition and N mineralization was not very accurate during the first 30 days of incubation, especially for easily decomposable crop residues. An additional model variable may be required to capture initial microbiological growth as affected by the moisture dynamics of the residues, as is the case in surface residues decomposition models. |
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Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropicsmodelingnutrient cyclingorganic agriculturesoil organic matterInsight of nutrient release patterns associated with the decomposition of plant residues is important for their effective use as a green manure in food production systems. Thus, this study aimed to evaluate the ability of the Century, APSIM and NDICEA simulation models for predicting the decomposition and N mineralization of crop residues in the tropical Atlantic forest biome, Brazil. The simulation models were calibrated based on actual decomposition and N mineralization rates of three types of crop residues with different chemical and biochemical composition. The models were also validated for different pedo-climatic conditions and crop residues conditions. In general, the accuracy of decomposition and N mineralization improved after calibration. Overall RMSE values for the decomposition and N mineralization of the crop materials varied from 7.4 to 64.6% before models calibration compared to 3.7 to 16.3 % after calibration. Therefore, adequate calibration of the models is indispensable for use them under humid tropical conditions. The NDICEA model generally outperformed the other models. However, the decomposition and N mineralization was not very accurate during the first 30 days of incubation, especially for easily decomposable crop residues. An additional model variable may be required to capture initial microbiological growth as affected by the moisture dynamics of the residues, as is the case in surface residues decomposition models.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2012-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/4882510.1590/S0103-90162012000600008Scientia Agricola; v. 69 n. 6 (2012); 393-401Scientia Agricola; Vol. 69 Núm. 6 (2012); 393-401Scientia Agricola; Vol. 69 No. 6 (2012); 393-4011678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/48825/52900Copyright (c) 2015 Scientia Agricolainfo:eu-repo/semantics/openAccessNascimento, Alexandre Ferreira doMendonça, Eduardo de SáLeite, Luiz Fernando CarvalhoScholberg, JohannesNeves, Julio Cesar Lima2012-12-21T11:38:09Zoai:revistas.usp.br:article/48825Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2012-12-21T11:38:09Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics |
title |
Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics |
spellingShingle |
Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics Nascimento, Alexandre Ferreira do modeling nutrient cycling organic agriculture soil organic matter |
title_short |
Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics |
title_full |
Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics |
title_fullStr |
Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics |
title_full_unstemmed |
Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics |
title_sort |
Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics |
author |
Nascimento, Alexandre Ferreira do |
author_facet |
Nascimento, Alexandre Ferreira do Mendonça, Eduardo de Sá Leite, Luiz Fernando Carvalho Scholberg, Johannes Neves, Julio Cesar Lima |
author_role |
author |
author2 |
Mendonça, Eduardo de Sá Leite, Luiz Fernando Carvalho Scholberg, Johannes Neves, Julio Cesar Lima |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Nascimento, Alexandre Ferreira do Mendonça, Eduardo de Sá Leite, Luiz Fernando Carvalho Scholberg, Johannes Neves, Julio Cesar Lima |
dc.subject.por.fl_str_mv |
modeling nutrient cycling organic agriculture soil organic matter |
topic |
modeling nutrient cycling organic agriculture soil organic matter |
description |
Insight of nutrient release patterns associated with the decomposition of plant residues is important for their effective use as a green manure in food production systems. Thus, this study aimed to evaluate the ability of the Century, APSIM and NDICEA simulation models for predicting the decomposition and N mineralization of crop residues in the tropical Atlantic forest biome, Brazil. The simulation models were calibrated based on actual decomposition and N mineralization rates of three types of crop residues with different chemical and biochemical composition. The models were also validated for different pedo-climatic conditions and crop residues conditions. In general, the accuracy of decomposition and N mineralization improved after calibration. Overall RMSE values for the decomposition and N mineralization of the crop materials varied from 7.4 to 64.6% before models calibration compared to 3.7 to 16.3 % after calibration. Therefore, adequate calibration of the models is indispensable for use them under humid tropical conditions. The NDICEA model generally outperformed the other models. However, the decomposition and N mineralization was not very accurate during the first 30 days of incubation, especially for easily decomposable crop residues. An additional model variable may be required to capture initial microbiological growth as affected by the moisture dynamics of the residues, as is the case in surface residues decomposition models. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/48825 10.1590/S0103-90162012000600008 |
url |
https://www.revistas.usp.br/sa/article/view/48825 |
identifier_str_mv |
10.1590/S0103-90162012000600008 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/48825/52900 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2015 Scientia Agricola info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2015 Scientia Agricola |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
dc.source.none.fl_str_mv |
Scientia Agricola; v. 69 n. 6 (2012); 393-401 Scientia Agricola; Vol. 69 Núm. 6 (2012); 393-401 Scientia Agricola; Vol. 69 No. 6 (2012); 393-401 1678-992X 0103-9016 reponame:Scientia Agrícola (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Scientia Agrícola (Online) |
collection |
Scientia Agrícola (Online) |
repository.name.fl_str_mv |
Scientia Agrícola (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
scientia@usp.br||alleoni@usp.br |
_version_ |
1800222791914487808 |