Can wood properties be predicted from the morphological traits of a tree? A canonical correlation study of plantation-grown white spruce

Canadian Journal of Forest Research

Volumn 42, Issue 8, 2012, Pages 1518-1529

  Lenz, Patrick ^a   Bernier Cardou, Michèle ^b   Mac, JohnKay ^a   Beaulieu, Jean ^b  

^a UNIVERSITÉ LAVAL   (Canada)

^b LAURENTIAN FORESTRY CENTRE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CANONICAL CORRELATIONS; CELL DIAMETERS; CORRELATION STRUCTURE; FOREST INVENTORY; FOREST PRODUCTS; MICROFIBRIL ANGLES; MORPHOLOGICAL TRAITS; MULTIPLE REGRESSION ANALYSIS; OPERATIONAL PLANNING; PICEA GLAUCA; REMOTE SENSING TECHNIQUES; RING WIDTH; SILVISCAN TECHNOLOGY; SUBCELLULAR STRUCTURE; TREE HEIGHT; WHITE SPRUCE;

MORPHOLOGY; OPTICAL RADAR; REGRESSION ANALYSIS; REMOTE SENSING; WOOD;

FORESTRY;

CANONICAL ANALYSIS; CONIFEROUS TREE; CORRELATION; DIAMETER; ECONOMIC ANALYSIS; FOREST INVENTORY; FOREST PRODUCT; FORESTRY PRODUCTION; HEIGHT; LIDAR; MORPHOLOGY; MULTIPLE REGRESSION; PLANNING PRACTICE; PLANTATION FORESTRY; REMOTE SENSING; WOOD QUALITY;

ANATOMY; PICEA ENGELMANNII; PLANTATIONS; RADAR; REGRESSION ANALYSIS; REMOTE SENSING; WOOD PROPERTIES;

PICEA GLAUCA;

EID: 84864620357     PISSN: 00455067     EISSN: 12086037     Source Type: Journal    
DOI: 10.1139/X2012-087     Document Type: Article

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