Spatial distribution of wood volume in Brazilian savannas
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. O...
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| Format: | Article |
| Language: | English |
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Academia Brasileira de Ciências
2019-10-01
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| Series: | Anais da Academia Brasileira de Ciências |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000700853&tlng=en |
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| author | EDUARDA M.O. SILVEIRA ALINY A. DOS REIS MARCELA C.N.S. TERRA KIERAN D. WITHEY JOSÉ M. DE MELLO FAUSTO W. ACERBI-JÚNIOR ANTONIO CARLOS FERRAZ FILHO CARLOS R. MELLO |
| author_facet | EDUARDA M.O. SILVEIRA ALINY A. DOS REIS MARCELA C.N.S. TERRA KIERAN D. WITHEY JOSÉ M. DE MELLO FAUSTO W. ACERBI-JÚNIOR ANTONIO CARLOS FERRAZ FILHO CARLOS R. MELLO |
| author_sort | EDUARDA M.O. SILVEIRA |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-11T16:54:43Z |
| format | Article |
| id | doaj.art-2a4511fae671450d842e27bcbc13fdee |
| institution | Directory Open Access Journal |
| issn | 1678-2690 |
| language | English |
| last_indexed | 2024-04-11T16:54:43Z |
| publishDate | 2019-10-01 |
| publisher | Academia Brasileira de Ciências |
| record_format | Article |
| series | Anais da Academia Brasileira de Ciências |
| spelling | doaj.art-2a4511fae671450d842e27bcbc13fdee2022-12-22T04:13:18ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26902019-10-0191410.1590/0001-3765201920180666Spatial distribution of wood volume in Brazilian savannasEDUARDA M.O. SILVEIRAALINY A. DOS REIShttps://orcid.org/0000-0002-7115-1485MARCELA C.N.S. TERRAKIERAN D. WITHEYJOSÉ M. DE MELLOFAUSTO W. ACERBI-JÚNIORANTONIO CARLOS FERRAZ FILHOCARLOS R. MELLOAbstract: 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000700853&tlng=encerrado sensu strictoforest inventorygeostatisticsregression krigingvolumetry |
| spellingShingle | EDUARDA M.O. SILVEIRA ALINY A. DOS REIS MARCELA C.N.S. TERRA KIERAN D. WITHEY JOSÉ M. DE MELLO FAUSTO W. ACERBI-JÚNIOR ANTONIO CARLOS FERRAZ FILHO CARLOS R. MELLO Spatial distribution of wood volume in Brazilian savannas Anais da Academia Brasileira de Ciências cerrado sensu stricto forest inventory geostatistics regression kriging volumetry |
| title | 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_short | Spatial distribution of wood volume in Brazilian savannas |
| title_sort | spatial distribution of wood volume in brazilian savannas |
| topic | cerrado sensu stricto forest inventory geostatistics regression kriging volumetry |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000700853&tlng=en |
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