GEOSTATISTICAL MODELING OF TIMBER VOLUME SPATIAL VARIABILITY FOR Tectona grandis L. F. PRECISION FORESTRY

Considering the hypothesis that the wood volumes present spatial dependence, whose knowledge contributes for the precision forestry, the aim of this work was to estimate the volume spatial variability for timber assortments and identify their spatial patterns on Tectona grandis stands. A dataset of...

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Detalles Bibliográficos
Autores: Pelissari, Allan Libanio, Roveda, Marcelo, Caldeira, Sidney Fernando, Sanquetta, Carlos Roberto, Corte, Ana Paula Dalla, Rodrigues, Carla Krulikowski
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:Brasil
Institución:Universidade Federal de Lavras (UFLA)
Repositorio:Cerne (Online)
Idioma:inglés
OAI Identifier:oai:cerne.ufla.br:article/1535
Acceso en línea:https://cerne.ufla.br/site/index.php/CERNE/article/view/1535
Access Level:acceso abierto
Palabra clave:Taper model
Timber assortments
Spatial dependence
Kriging interpolation
Descripción
Sumario:Considering the hypothesis that the wood volumes present spatial dependence, whose knowledge contributes for the precision forestry, the aim of this work was to estimate the volume spatial variability for timber assortments and identify their spatial patterns on Tectona grandis stands. A dataset of 1,038 trees was used to fit taper models and estimate the total stem, sawlog, and firewood volumes in 273 plots allocated on T. grandis stands at eight years old, which represents the second thinning that enables commercial volumes. Semivariograms models was applied to fit the spatial dependence, and punctual kriging was used to compose volume maps. Geostatistical modeling allowed us to estimate the T. grandis spatial variability and develop timber volume maps. Thus, silvicultural treatments, such as thinning and pruning, as well as for planning spatial interventions, are possible to be recommended for aimed wood products.