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 

机构地区：[1]Brazil Institute of Agricultural and Forestry Defense of Espírito Santo(IDAF),Av.Lourival Lugon Moulin,nº300,Centro,Jerônimo Monteiro,ES CEP:29.550-000,Brazil [2]Department of Forestry Sciences,Universidade Federal de Lavras-UFLA,Caixa Postal 3037,Lavras,MG CEP:37.200-000,Brazil [3]Engineering Department,Universidade Federal de Lavras-UFLA,Caixa Postal 3037,Lavras,MG CEP:37.200-000,Brazil [4]Forestry Engineering Department,Faculdade de Tecnologia,University of Brasilia-UnB,Campus Universitário Darcy Ribeiro,Caixa Postal 4357,Asa Norte-Brasília,DF CEP:70910-900,Brazil [5]Department of Forestry Engineering and Technology,Universidade Federal do Paraná-UFPR,Av.Pref.Lothário Meissner,632,Jardim Botânico,Curitiba,PR CEP:80.210-170,Brazil

出　　处：《Journal of Forestry Research》2022年第2期497-505,共9页林业研究（英文版）

摘　　要：The relationships between climate conditions and wood density in tropical forests are still poorly understood.To quantify spatial dependence of wood density in the state of Minas Gerais(MG,Brazil),map spatial distribution of density,and correlate density with climate variables,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 georeferenced sampling points.The data were subjected to exploratory analysis,variography,cross-validation,model selection,and ordinary kriging.The relationships between wood density and environmental variables were calculated using dispersion matrices,linear correlation,and regression.Wood density proved to be highly spatially dependent,reaching a correlation of 96%,and was highly continuous over a distance 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.

关 键 词：BIOMASS Climate variables GEOSTATISTICS HARDWOOD Forest inventory Minas Gerais 

分 类 号：S781.31[农业科学—木材科学与技术]