NDLI: A weeding-duration model for Abies sachalinensis plantations in Hokkaido, northern Japan

Content Provider	Springer Nature Link
Author	Nakagawa, Masahiko
Copyright Year	2013
Abstract	I developed a weeding-duration model for Sakhalin fir (Abies sachalinensis (Fr. Schmidt) Masters) plantations that employs a generalized linear model. The number of years following planting that weeding is necessary is the response variable, and elevation, slope steepness, maximum snow depth, annual precipitation, geology, soil, site index, slope aspect, and vegetation type are explanatory variables. Among the explanatory variables, geology, soil, slope aspect, and vegetation type are categorical data. A Poisson distribution is assumed for the response variable, with a log-link function. Elevation, slope steepness, maximum snow depth, annual precipitation, site index, and vegetation type had a significant effect on weeding duration. Among the eight models with the smallest Akaike information criterion (AIC), I chose the model with no multicollinearity among the explanatory variables. The weeding-duration model includes site index, maximum snow depth, slope steepness (angle) and vegetation type as explanatory variables; elevation and annual precipitation were not included in the selected model because of multicollinearity with maximum snow depth. This model is useful for cost-benefit analyses of afforestation or reforestation with Abies sachalinensis.
Starting Page	131
Ending Page	136
Page Count	6
File Format	PDF
ISSN	1007662X
Journal	Journal of Forestry Research
Volume Number	24
Issue Number	1
e-ISSN	19930607
Language	English
Publisher	Northeast Forestry University
Publisher Date	2013-01-11
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Abies sachalinensis plantation snow depth site index weeding Forestry
Content Type	Text
Resource Type	Article
Subject	Forestry

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