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Forests 2015, 6(10), 3369-3394;

Modeling Wood Fibre Length in Black Spruce (Picea mariana (Mill.) BSP) Based on Ecological Land Classification

Department of Biology and Chemistry, Nipissing University, North Bay, ON P1B 8L7, Canada
Natural Resources Canada, Canadian Forest Service, Canadian Wood Fibre Centre, Sault Ste. Marie, ON P6A 2E5, Canada
Present Address: Department of Agricultural and Environmental Sciences, Tennessee State University, Nashville, TN 37209-1561, USA
Author to whom correspondence should be addressed.
Academic Editors: Lisa Samuelson and Eric J. Jokela
Received: 30 July 2015 / Revised: 10 September 2015 / Accepted: 16 September 2015 / Published: 24 September 2015
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Effective planning to optimize the forest value chain requires accurate and detailed information about the resource; however, estimates of the distribution of fibre properties on the landscape are largely unavailable prior to harvest. Our objective was to fit a model of the tree-level average fibre length related to ecosite classification and other forest inventory variables depicted at the landscape scale. A series of black spruce increment cores were collected at breast height from trees in nine different ecosite groups within the boreal forest of northeastern Ontario, and processed using standard techniques for maceration and fibre length measurement. Regression tree analysis and random forests were used to fit hierarchical classification models and find the most important predictor variables for the response variable area-weighted mean stem-level fibre length. Ecosite group was the best predictor in the regression tree. Longer mean fibre-length was associated with more productive ecosites that supported faster growth. The explanatory power of the model of fitted data was good; however, random forests simulations indicated poor generalizability. These results suggest the potential to develop localized models linking wood fibre length in black spruce to landscape-level attributes, and improve the sustainability of forest management by identifying ideal locations to harvest wood that has desirable fibre characteristics. View Full-Text
Keywords: tracheid; ecosite; hierarchical classification; boreal forest tracheid; ecosite; hierarchical classification; boreal forest

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Townshend, E.; Pokharel, B.; Groot, A.; Pitt, D.; Dech, J.P. Modeling Wood Fibre Length in Black Spruce (Picea mariana (Mill.) BSP) Based on Ecological Land Classification. Forests 2015, 6, 3369-3394.

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