Behavior of wood basic density according to environmental variables

• 作 者: Gabriel Marcos Vieira Oliveira JoséMárcio de Mello Carlos Rogério de Mello JoséRoberto Soares Scolforo Eder Pereira Miguel Thiago Campos Monteiro
• 机 构: Brazil Institute of Agricultural and Forestry Defense of Espírito Santo(IDAF),Av.Lourival Lugon Moul
• 出 处: 林业研究（英文版）
• 发表日期: 2022年2期
• 关键词: Biomass Climate variables Geostatistics Hardwood Forest inventory Minas Gerais

The relationships between climate conditions and wood density in tropical forests are still poorly under-stood. To quantify spatial dependence of wood density in the state of Minas Gerais (MG, Brazil), map spatial distri-bution of density, and correlate density with climate vari-ables, we extracted data from the Forest Inventory of Minas Gerais for 1988 trees scaled throughout the territory and measured wood density of discs removed from the trees. Environmental variables were extracted from the database of the Ecological-Economic Zoning of Minas Gerais. For spatial analysis, tree densities were measured at 44 georefer-enced sampling points. The data were subjected to explora-tory analysis, variography, cross-validation, model selection,and ordinary kriging. The relationships between wood den-sity and environmental variables were calculated using dis-persion matrices, linear correlation, and regression. Wood density proved to be highly spatially dependent, reaching a correlation of 96％, and was highly continuous over a dis-tance of 228 km. The distribution of wood density followed a continuous gradient of 514–659 kg -m?3, enabling corre-lation with environment variables. Density was correlated with mean annual precipitation (? 0.57), temperature (0.63), and evapotranspiration (0.83). Geostatistical methods proved useful in predicting wood density in native tropical forests with different climate conditions. Our results confirmed the sensitivity of wood density to climate change, which could affect future carbon stock in forests.