Data/hora: 11/06/2024 12:45:48

Provedor de dados: | 42
País: | Brazil
Título: | Spatial distribution of wood volume in Brazilian savannas
Autores: | 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.
Data: | 2019-01-01
Ano: | 2019
Palavras-chave: | Cerrado sensu stricto; Forest inventory; Geostatistics; Regression kriging; Volumetry.
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.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000700853
Editor: | Academia Brasileira de Ciências
Relação: | 10.1590/0001-3765201920180666
Formato: | text/html
Fonte: | Anais da Academia Brasileira de Ciências  v.91 n.4 2019
Fonte: | info:eu-repo/semantics/openAccess