CJFR Special Issue now complete and available Open Access

We are pleased to announce a partial special issue of CJFR titled: Quantifying uncertainty in forest measurements and models: Approaches and applications http://www.nrcresearchpress.com/toc/cjfr/46/3.  There are five papers, most of which were presented in the QUEST sessions at the 2014 IUFRO world congress in Salt Lake City, along with an introduction by the session organizers.

Title page

Partial special issue: Quantifying uncertainty in forest measurements and models: approaches and applications / Numéro spécial partiel : Quantification de l’incertitude dans la modélisation et la Quantifying uncertainty in forest measurements and models: approaches and applications D. Paré, G.Z. Gertner, P.Y. Bernier, R.D. Yanai

» Citation

Canadian Journal of Forest Research, 2016, 46(3): v, 10.1139/cjfr-2016-0029

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Articles

Sources of variability in tissue chemistry in northern hardwood species

Yang Yang, Ruth D. Yanai, Farrah R. Fatemi, Carrie R. Levine, Paul J. Lilly, Russell D. Briggs

» Abstract

Canadian Journal of Forest Research, 2016, 46(3): 285-296, 10.1139/cjfr-2015-0302

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Sensitivity and uncertainty analysis of the carbon and water fluxes at the tree scale in Eucalyptus plantations using a metamodeling approach

M. Christina, Y. Nouvellon, J.P. Laclau, J.L. Stape, O.C Campoe, G. le Maire

» Abstract

Canadian Journal of Forest Research, 2016, 46(3): 297-309, 10.1139/cjfr-2015-0173

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·     Supplementary data

Uncertainty of upland soil carbon sink estimate for Finland

Aleksi Lehtonen, Juha Heikkinen

» Abstract

Canadian Journal of Forest Research, 2016, 46(3): 310-322, 10.1139/cjfr-2015-0171

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Random forests and stochastic gradient boosting for predicting tree canopy cover: comparing tuning processes and model performance

Elizabeth A. Freeman, Gretchen G. Moisen, John W. Coulston, Barry T. Wilson

» Abstract

Canadian Journal of Forest Research, 2016, 46(3): 323-339, 10.1139/cjfr-2014-0562

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Evaluating the required scenario set size for stochastic programming in forest management planning: incorporating inventory and growth model uncertainty

Kyle Eyvindson, Annika Kangas

» Abstract

Canadian Journal of Forest Research, 2016, 46(3): 340-347, 10.1139/cjfr-2014-0513

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