首页|Estimating height-diameter relations for structure groups in the natural forests of Northeastern China
Estimating height-diameter relations for structure groups in the natural forests of Northeastern China
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NSTL
Elsevier
? 2022 Elsevier B.V.Tree height-diameter (H-D) models are essential for estimating tree volume and forest production. The development of such models can be especially challenging in multi-species natural forests. We present new generalized mixed-effects models based on a set of 456 sample plots and 77,908 individual tree measurements. Tree species were assigned to one of four structure groups according to their life forms, regeneration modes and stand structure characteristics: (1) Understory tree species with an L-shaped D distribution (UL); (2) Sub-canopy tree species with an L-shaped D distribution (SL); (3) Sub-canopy tree species with a bell-shaped D distribution (SB); and (4) Canopy tree species with a bell-shaped D distribution (CB). A distance-dependent competition index (DCI) was included in the base model of the structure groups, and a mixed-effects model for each group with tree species as random-effect. The four models represent unique allometric relationships for the four structure groups. Model accuracy was improved for all groups after adding DCI. Two sets of mixed-effects H-D models (with or without DCI) are presented to improve the estimates of productivity and carbon stock in the temperate natural forests of Northeastern China. The general approach adopted in this study may serve as an example for similar studies in other multi-species and multi-layered forest stands.
Classification of tree speciesHeight-diameter modelMixed-effect modelMulti-species and multi-layered forestNeighborhood competition
Zhao X.、Wu X.、von Gadow K.、Zhang C.、Cui K.
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Research Center of Forest Management Engineering of State Forestry and Grassland Administration Beijing Forestry University
College of Science Beijing Forestry University Beijing Forestry University
Faculty of Forestry and Forest Ecology Georg-August-University G?ttingen
NSTL
Elsevier
