NDLI: Applying wavelet-based functional approach in modelling tree taper

Content Provider	Springer Nature Link
Author	Subedi, Nirmal Sharma, Mahadev
Copyright Year	2011
Abstract	The wavelet-based functional approach was evaluated for modelling tree taper of jack pine (Pinus banksiana Lamb.) trees grown in the Canadian boreal forest region.Wavelet-based functional fixed and mixed-effects models were developed to predict tree taper, and these models were evaluated for their predictive accuracy using calibration and evaluation data sets.Diameters predicted using both fixed and mixed-effects taper models were unbiased for calibration data set as the 95% credible limits included 0 at all locations along the boles. The diameters predicted by these models for validation data set, however, were unbiased only at four out of 11 locations as the 95% credible limits of mean bias using fixed effects model did not include 0 at other locations.The study concludes that the wavelet-based taper models are able to describe the taper of the trees used in fitting the model but are unable to capture the mean taper function of the trees not used in fitting the model.
Starting Page	1039
Ending Page	1048
Page Count	10
File Format	PDF
ISSN	12864560
Journal	Annals of Forest Science
Volume Number	68
Issue Number	5
e-ISSN	1297966X
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-08-02
Publisher Institution	Institut National de la Recherche Agronomique (INRA)
Publisher Place	Paris
Access Restriction	Subscribed
Subject Keyword	Pinus banksiana Jack pine Stem profile model Functional taper model Bayesian taper model Tree Biology Forestry Management Forestry Wood Science & Technology Environment
Content Type	Text
Resource Type	Article
Subject	Ecology Forestry

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