Spatial distribution of wood volume in Brazilian savannas

Detalhes bibliográficos
Autor(a) principal: SILVEIRA,EDUARDA M.O.
Data de Publicação: 2019
Outros Autores: REIS,ALINY A. DOS, TERRA,MARCELA C.N.S., WITHEY,KIERAN D., MELLO,JOSÉ M. DE, ACERBI-JÚNIOR,FAUSTO W., FERRAZ FILHO,ANTONIO CARLOS, MELLO,CARLOS R.
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=S0001-37652019000700853
Resumo: Abstract: Here we model and describe the wood volume of Cerrado Sensu Stricto, a highly heterogeneous vegetation type in the Savanna biome, in the state of Minas Gerais, Brazil, integrating forest inventory data with spatial-environmental variables, multivariate regression, and regression kriging. Our study contributes to a better understanding of the factors that affect the spatial distribution of the wood volume of this vegetation type as well as allowing better representation of the spatial heterogeneity of this biome. Wood volume estimates were obtained through regression models using different environmental variables as independent variables. Using the best fitted model, spatial analysis of the residuals was carried out by selecting a semivariogram model for generating an ordinary kriging map, which in turn was used with the fitted regression model in the regression kriging technique. Seasonality of both temperature and precipitation, along with the density of deforestation, explained the variations of wood volume throughout Minas Gerais. The spatial distribution of predicted wood volume of Cerrado Sensu Stricto in Minas Gerais revealed the high variability of this variable (15.32 to 98.38 m3 ha-1) and the decreasing gradient in the southeast-northwest direction.
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spelling Spatial distribution of wood volume in Brazilian savannascerrado sensu strictoforest inventorygeostatisticsregression krigingvolumetryAbstract: Here we model and describe the wood volume of Cerrado Sensu Stricto, a highly heterogeneous vegetation type in the Savanna biome, in the state of Minas Gerais, Brazil, integrating forest inventory data with spatial-environmental variables, multivariate regression, and regression kriging. Our study contributes to a better understanding of the factors that affect the spatial distribution of the wood volume of this vegetation type as well as allowing better representation of the spatial heterogeneity of this biome. Wood volume estimates were obtained through regression models using different environmental variables as independent variables. Using the best fitted model, spatial analysis of the residuals was carried out by selecting a semivariogram model for generating an ordinary kriging map, which in turn was used with the fitted regression model in the regression kriging technique. Seasonality of both temperature and precipitation, along with the density of deforestation, explained the variations of wood volume throughout Minas Gerais. The spatial distribution of predicted wood volume of Cerrado Sensu Stricto in Minas Gerais revealed the high variability of this variable (15.32 to 98.38 m3 ha-1) and the decreasing gradient in the southeast-northwest direction.Academia Brasileira de Ciências2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000700853Anais da Academia Brasileira de Ciências v.91 n.4 2019reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765201920180666info:eu-repo/semantics/openAccessSILVEIRA,EDUARDA M.O.REIS,ALINY A. DOSTERRA,MARCELA C.N.S.WITHEY,KIERAN D.MELLO,JOSÉ M. DEACERBI-JÚNIOR,FAUSTO W.FERRAZ FILHO,ANTONIO CARLOSMELLO,CARLOS R.eng2019-10-17T00:00:00Zoai:scielo:S0001-37652019000700853Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2019-10-17T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Spatial distribution of wood volume in Brazilian savannas
title Spatial distribution of wood volume in Brazilian savannas
spellingShingle Spatial distribution of wood volume in Brazilian savannas
SILVEIRA,EDUARDA M.O.
cerrado sensu stricto
forest inventory
geostatistics
regression kriging
volumetry
title_short Spatial distribution of wood volume in Brazilian savannas
title_full Spatial distribution of wood volume in Brazilian savannas
title_fullStr Spatial distribution of wood volume in Brazilian savannas
title_full_unstemmed Spatial distribution of wood volume in Brazilian savannas
title_sort Spatial distribution of wood volume in Brazilian savannas
author SILVEIRA,EDUARDA M.O.
author_facet SILVEIRA,EDUARDA M.O.
REIS,ALINY A. DOS
TERRA,MARCELA C.N.S.
WITHEY,KIERAN D.
MELLO,JOSÉ M. DE
ACERBI-JÚNIOR,FAUSTO W.
FERRAZ FILHO,ANTONIO CARLOS
MELLO,CARLOS R.
author_role author
author2 REIS,ALINY A. DOS
TERRA,MARCELA C.N.S.
WITHEY,KIERAN D.
MELLO,JOSÉ M. DE
ACERBI-JÚNIOR,FAUSTO W.
FERRAZ FILHO,ANTONIO CARLOS
MELLO,CARLOS R.
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv SILVEIRA,EDUARDA M.O.
REIS,ALINY A. DOS
TERRA,MARCELA C.N.S.
WITHEY,KIERAN D.
MELLO,JOSÉ M. DE
ACERBI-JÚNIOR,FAUSTO W.
FERRAZ FILHO,ANTONIO CARLOS
MELLO,CARLOS R.
dc.subject.por.fl_str_mv cerrado sensu stricto
forest inventory
geostatistics
regression kriging
volumetry
topic cerrado sensu stricto
forest inventory
geostatistics
regression kriging
volumetry
description Abstract: Here we model and describe the wood volume of Cerrado Sensu Stricto, a highly heterogeneous vegetation type in the Savanna biome, in the state of Minas Gerais, Brazil, integrating forest inventory data with spatial-environmental variables, multivariate regression, and regression kriging. Our study contributes to a better understanding of the factors that affect the spatial distribution of the wood volume of this vegetation type as well as allowing better representation of the spatial heterogeneity of this biome. Wood volume estimates were obtained through regression models using different environmental variables as independent variables. Using the best fitted model, spatial analysis of the residuals was carried out by selecting a semivariogram model for generating an ordinary kriging map, which in turn was used with the fitted regression model in the regression kriging technique. Seasonality of both temperature and precipitation, along with the density of deforestation, explained the variations of wood volume throughout Minas Gerais. The spatial distribution of predicted wood volume of Cerrado Sensu Stricto in Minas Gerais revealed the high variability of this variable (15.32 to 98.38 m3 ha-1) and the decreasing gradient in the southeast-northwest direction.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765201920180666
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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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.91 n.4 2019
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
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instname_str Academia Brasileira de Ciências (ABC)
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reponame_str Anais da Academia Brasileira de Ciências (Online)
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