Modelling soil water retention to identify management influence on soil pore characteristics
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anais da Academia Brasileira de Ciências (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000601501 |
Resumo: | Abstract The water retention curve is widely used in studies involving soil. The management systems directly influence soil structure by altering water retention dynamics. Several equations are used to adjust the retention of water in the soil, but most of the time, the choice of these models occurs in an arbitrary way. From this problem, it was proposed with the present study to relate the best mathematical model to water retention, taking into account the different management systems adopted, based on previously established adjustment criteria. For the accomplishment the study, a soil of caulinitic mineralogy and average texture was utilized. The treatments were area under native Cerrado (Savanna), eucalyptus plantation with six and twelve years of cultivation, pasture with two and six years of cultivation, conventional plantation with two and eight years of cultivation, no-till with three and six years of cultivation. From the adjustment criteria for non-linear models, it was found that the management influences the choice of the water retention model. It is possible to observe that the greatest divergences between the models occurred close to the soil saturation zone, and that the Fredlung-Xing model is more efficient in adjusting the water retention curve under conservationist management systems. |
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Anais da Academia Brasileira de Ciências (Online) |
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Modelling soil water retention to identify management influence on soil pore characteristicswater retention modelingwater in soilcropping systemssoil physicsAbstract The water retention curve is widely used in studies involving soil. The management systems directly influence soil structure by altering water retention dynamics. Several equations are used to adjust the retention of water in the soil, but most of the time, the choice of these models occurs in an arbitrary way. From this problem, it was proposed with the present study to relate the best mathematical model to water retention, taking into account the different management systems adopted, based on previously established adjustment criteria. For the accomplishment the study, a soil of caulinitic mineralogy and average texture was utilized. The treatments were area under native Cerrado (Savanna), eucalyptus plantation with six and twelve years of cultivation, pasture with two and six years of cultivation, conventional plantation with two and eight years of cultivation, no-till with three and six years of cultivation. From the adjustment criteria for non-linear models, it was found that the management influences the choice of the water retention model. It is possible to observe that the greatest divergences between the models occurred close to the soil saturation zone, and that the Fredlung-Xing model is more efficient in adjusting the water retention curve under conservationist management systems.Academia Brasileira de Ciências2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000601501Anais da Academia Brasileira de Ciências v.94 n.4 2022reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202220190944info:eu-repo/semantics/openAccessSILVA,RODRIGO F. DAMOURA,ERNANDES G.LISKA,GILBERTO R.OLIVEIRA,GERALDO C. DEFERREIRA,DANIEL F.DIAS JUNIOR,MOACIR SSANTOS,GLENIO G.eng2022-11-22T00:00:00Zoai:scielo:S0001-37652022000601501Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2022-11-22T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false |
dc.title.none.fl_str_mv |
Modelling soil water retention to identify management influence on soil pore characteristics |
title |
Modelling soil water retention to identify management influence on soil pore characteristics |
spellingShingle |
Modelling soil water retention to identify management influence on soil pore characteristics SILVA,RODRIGO F. DA water retention modeling water in soil cropping systems soil physics |
title_short |
Modelling soil water retention to identify management influence on soil pore characteristics |
title_full |
Modelling soil water retention to identify management influence on soil pore characteristics |
title_fullStr |
Modelling soil water retention to identify management influence on soil pore characteristics |
title_full_unstemmed |
Modelling soil water retention to identify management influence on soil pore characteristics |
title_sort |
Modelling soil water retention to identify management influence on soil pore characteristics |
author |
SILVA,RODRIGO F. DA |
author_facet |
SILVA,RODRIGO F. DA MOURA,ERNANDES G. LISKA,GILBERTO R. OLIVEIRA,GERALDO C. DE FERREIRA,DANIEL F. DIAS JUNIOR,MOACIR S SANTOS,GLENIO G. |
author_role |
author |
author2 |
MOURA,ERNANDES G. LISKA,GILBERTO R. OLIVEIRA,GERALDO C. DE FERREIRA,DANIEL F. DIAS JUNIOR,MOACIR S SANTOS,GLENIO G. |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
SILVA,RODRIGO F. DA MOURA,ERNANDES G. LISKA,GILBERTO R. OLIVEIRA,GERALDO C. DE FERREIRA,DANIEL F. DIAS JUNIOR,MOACIR S SANTOS,GLENIO G. |
dc.subject.por.fl_str_mv |
water retention modeling water in soil cropping systems soil physics |
topic |
water retention modeling water in soil cropping systems soil physics |
description |
Abstract The water retention curve is widely used in studies involving soil. The management systems directly influence soil structure by altering water retention dynamics. Several equations are used to adjust the retention of water in the soil, but most of the time, the choice of these models occurs in an arbitrary way. From this problem, it was proposed with the present study to relate the best mathematical model to water retention, taking into account the different management systems adopted, based on previously established adjustment criteria. For the accomplishment the study, a soil of caulinitic mineralogy and average texture was utilized. The treatments were area under native Cerrado (Savanna), eucalyptus plantation with six and twelve years of cultivation, pasture with two and six years of cultivation, conventional plantation with two and eight years of cultivation, no-till with three and six years of cultivation. From the adjustment criteria for non-linear models, it was found that the management influences the choice of the water retention model. It is possible to observe that the greatest divergences between the models occurred close to the soil saturation zone, and that the Fredlung-Xing model is more efficient in adjusting the water retention curve under conservationist management systems. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
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=S0001-37652022000601501 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000601501 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0001-3765202220190944 |
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 |
Academia Brasileira de Ciências |
publisher.none.fl_str_mv |
Academia Brasileira de Ciências |
dc.source.none.fl_str_mv |
Anais da Academia Brasileira de Ciências v.94 n.4 2022 reponame:Anais da Academia Brasileira de Ciências (Online) instname:Academia Brasileira de Ciências (ABC) instacron:ABC |
instname_str |
Academia Brasileira de Ciências (ABC) |
instacron_str |
ABC |
institution |
ABC |
reponame_str |
Anais da Academia Brasileira de Ciências (Online) |
collection |
Anais da Academia Brasileira de Ciências (Online) |
repository.name.fl_str_mv |
Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC) |
repository.mail.fl_str_mv |
||aabc@abc.org.br |
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1754302872552472576 |