基于2层次线性混合模型的落叶松木材密度模拟

doi:10.11707/j.1001-7488.20130713

Abstract

Abstract:

In this study, the sample data was based on 432 samples of 9 trees from dahurian larch(Larix gmelinii)plantations located in Qitaihe Forest Bureau in Heilongjiang Province. The stepwise regression techniques were used to develop wood density model: WD=β₁+β₂RN+β₃RN²+β₄h. Then, the developed model was fitted using single level and multilevel linear mixed-effects modeling approach based on LME procedure of S-PLUS software. The mixed effects models showed better model fitting results than basic model whatever considering single level and multilevel linear mixed effects. Moreover, the mixed effects model considering height effects and both effects showed more precision than that considering individual tree effects. Model test indicated that mixed effects models not only showed the mean trends of wood density, but also showed the variations among groups.

Key words: wood density, two-level linear mixed model, dahurian larch (Larix gmelinii)

CLC Number:

S757

Li Yaoxiang, Jiang Lichun. Modeling Wood Density with Two-Level Linear Mixed Effects Models for Dahurian Larch[J]. Scientia Silvae Sinicae, 2013, 49(7): 91-98.

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Modeling Wood Density with Two-Level Linear Mixed Effects Models for Dahurian Larch

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