Soil water content and net precipitation spatial variability in an Atlantic forest remnant
Main Author: | |
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Publication Date: | 2019 |
Other Authors: | , , , , |
Format: | Article |
Language: | eng |
Source: | Acta Scientiarum. Agronomy (Online) |
Download full: | http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43518 |
Summary: | This study was carried out in an Atlantic forest remnant in Southeastern Brazil and aimed to spatially model the soil water content (SWC) and net precipitation (NP) on a monthly time scale and to assess the spatial behavior of these hydrological variables in the different seasons. NP is defined by summing throughfall and stemflow, which have been collected after each rain event and accumulated monthly. Soil moisture measurements were carried out monthly up to a depth of 1.00 m and then integrated to obtain the SWC. The exponential semivariogram model was fitted for both hydrological variables, and the goodness-of-fit was assessed by a cross-validation procedure, spatial dependence degree (SDD) and spatial dependence index (SDI). This model provided adequate performance for SWC and NP mapping according to the cross-validation statistics. Based on the SDD, both variables have been classified as a ‘strong spatial dependence structure’. Nevertheless, when the SDI was assessed, NP showed less spatial dependence, while the SWC maintained almost the same performance. Kriging maps pictured the regional climate seasonality due to higher values of both variables in spring and summer than in autumn and winter seasons. However, correlations between NP and SWC are not expressive in the studied period. |
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Acta Scientiarum. Agronomy (Online) |
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Soil water content and net precipitation spatial variability in an Atlantic forest remnantgeostatistics; latosol-semideciduous forest site; forest hydrology.This study was carried out in an Atlantic forest remnant in Southeastern Brazil and aimed to spatially model the soil water content (SWC) and net precipitation (NP) on a monthly time scale and to assess the spatial behavior of these hydrological variables in the different seasons. NP is defined by summing throughfall and stemflow, which have been collected after each rain event and accumulated monthly. Soil moisture measurements were carried out monthly up to a depth of 1.00 m and then integrated to obtain the SWC. The exponential semivariogram model was fitted for both hydrological variables, and the goodness-of-fit was assessed by a cross-validation procedure, spatial dependence degree (SDD) and spatial dependence index (SDI). This model provided adequate performance for SWC and NP mapping according to the cross-validation statistics. Based on the SDD, both variables have been classified as a ‘strong spatial dependence structure’. Nevertheless, when the SDI was assessed, NP showed less spatial dependence, while the SWC maintained almost the same performance. Kriging maps pictured the regional climate seasonality due to higher values of both variables in spring and summer than in autumn and winter seasons. However, correlations between NP and SWC are not expressive in the studied period.Universidade Estadual de Maringá2019-09-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4351810.4025/actasciagron.v42i1.43518Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e43518Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e435181807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43518/751375148430Copyright (c) 2020 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRodrigues, André FerreiraMello, Carlos Rogério deTerra, Marcela de Castro Nunes SantosSilva, Vinicius OliveiraPereira, Gustavo AlvesSilva, Renato Antônio da2020-11-16T18:51:04Zoai:periodicos.uem.br/ojs:article/43518Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2020-11-16T18:51:04Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Soil water content and net precipitation spatial variability in an Atlantic forest remnant |
title |
Soil water content and net precipitation spatial variability in an Atlantic forest remnant |
spellingShingle |
Soil water content and net precipitation spatial variability in an Atlantic forest remnant Rodrigues, André Ferreira geostatistics; latosol-semideciduous forest site; forest hydrology. |
title_short |
Soil water content and net precipitation spatial variability in an Atlantic forest remnant |
title_full |
Soil water content and net precipitation spatial variability in an Atlantic forest remnant |
title_fullStr |
Soil water content and net precipitation spatial variability in an Atlantic forest remnant |
title_full_unstemmed |
Soil water content and net precipitation spatial variability in an Atlantic forest remnant |
title_sort |
Soil water content and net precipitation spatial variability in an Atlantic forest remnant |
author |
Rodrigues, André Ferreira |
author_facet |
Rodrigues, André Ferreira Mello, Carlos Rogério de Terra, Marcela de Castro Nunes Santos Silva, Vinicius Oliveira Pereira, Gustavo Alves Silva, Renato Antônio da |
author_role |
author |
author2 |
Mello, Carlos Rogério de Terra, Marcela de Castro Nunes Santos Silva, Vinicius Oliveira Pereira, Gustavo Alves Silva, Renato Antônio da |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Rodrigues, André Ferreira Mello, Carlos Rogério de Terra, Marcela de Castro Nunes Santos Silva, Vinicius Oliveira Pereira, Gustavo Alves Silva, Renato Antônio da |
dc.subject.por.fl_str_mv |
geostatistics; latosol-semideciduous forest site; forest hydrology. |
topic |
geostatistics; latosol-semideciduous forest site; forest hydrology. |
description |
This study was carried out in an Atlantic forest remnant in Southeastern Brazil and aimed to spatially model the soil water content (SWC) and net precipitation (NP) on a monthly time scale and to assess the spatial behavior of these hydrological variables in the different seasons. NP is defined by summing throughfall and stemflow, which have been collected after each rain event and accumulated monthly. Soil moisture measurements were carried out monthly up to a depth of 1.00 m and then integrated to obtain the SWC. The exponential semivariogram model was fitted for both hydrological variables, and the goodness-of-fit was assessed by a cross-validation procedure, spatial dependence degree (SDD) and spatial dependence index (SDI). This model provided adequate performance for SWC and NP mapping according to the cross-validation statistics. Based on the SDD, both variables have been classified as a ‘strong spatial dependence structure’. Nevertheless, when the SDI was assessed, NP showed less spatial dependence, while the SWC maintained almost the same performance. Kriging maps pictured the regional climate seasonality due to higher values of both variables in spring and summer than in autumn and winter seasons. However, correlations between NP and SWC are not expressive in the studied period. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-09-20 |
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 |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43518 10.4025/actasciagron.v42i1.43518 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43518 |
identifier_str_mv |
10.4025/actasciagron.v42i1.43518 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/43518/751375148430 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 Acta Scientiarum. Agronomy https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e43518 Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e43518 1807-8621 1679-9275 reponame:Acta Scientiarum. Agronomy (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Agronomy (Online) |
collection |
Acta Scientiarum. Agronomy (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br |
_version_ |
1799305911280336896 |