Species Mixing Improves Tree Growth and Timber Quality of Chinese Fir in Mixtures with Broad-Leaved Species in Central China

Mixed stands of tree species with complementary traits can modulate stand growth and timber quality. At the Fengshushan Forest Farm, mixtures of Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) with Liquidambar formosana Hance, Schima superba Gardner & Champ., Elaeocarpus sylvestris (Lour.) Poir., Cinnamomum camphora (L.) Presl, and Chinese fir monoculture were established. Differences in stand growth and timber quality among these mixtures were assessed and a test was conducted to evaluate the factors influencing the mixture effects. The average diameter at breast height, tree height, stand volume, and individual tree annual increment of mixtures generally exceeded those of Chinese fir monocultures but not necessarily those of broad-leaved monocultures. When the net interaction between species was complementary, overyielding in mixtures occurred (RPfir,bl > 0), which was influenced significantly by stand density, soil properties, and timber quality. The timber quality and wood production of Chinese fir were enhanced by mixture with some broad-leaved species, with reduced slenderness and knottiness in mixtures, and notable increases in medium- (average outturn rates of 56.13%) and large-diameter (11.71%) timber in C. lanceolata/C. camphora mixture. The growth and timber quality of Chinese fir are largely promoted when grown mixed with broad-leaved species. Overyielding at the stand level occurs where Chinese fir compensates for the underperformance of broad-leaved trees.

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Publication Details

Journal
Forests
Published
2024-11-08
DOI
https://doi.org/10.3390/f15111970
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
0.00

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article

Species Mixing Improves Tree Growth and Timber Quality of Chinese Fir in Mixtures with Broad-Leaved Species in Central China

Z. Yin, Jiejie Jiao, Honggang Sun, Jinhu Chen
Forests
Forest ecology and management
article

Species Mixing Improves Tree Growth and Timber Quality of Chinese Fir in Mixtures with Broad-Leaved Species in Central China

Z. Yin, Jiejie Jiao, Honggang Sun, Jinhu Chen
article en

Abstract

Mixed stands of tree species with complementary traits can modulate stand growth and timber quality. At the Fengshushan Forest Farm, mixtures of Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) with Liquidambar formosana Hance, Schima superba Gardner & Champ., Elaeocarpus sylvestris (Lour.) Poir., Cinnamomum camphora (L.) Presl, and Chinese fir monoculture were established. Differences in stand growth and timber quality among these mixtures were assessed and a test was conducted to evaluate the factors influencing the mixture effects. The average diameter at breast height, tree height, stand volume, and individual tree annual increment of mixtures generally exceeded those of Chinese fir monocultures but not necessarily those of broad-leaved monocultures. When the net interaction between species was complementary, overyielding in mixtures occurred (RPfir,bl > 0), which was influenced significantly by stand density, soil properties, and timber quality. The timber quality and wood production of Chinese fir were enhanced by mixture with some broad-leaved species, with reduced slenderness and knottiness in mixtures, and notable increases in medium- (average outturn rates of 56.13%) and large-diameter (11.71%) timber in C. lanceolata/C. camphora mixture. The growth and timber quality of Chinese fir are largely promoted when grown mixed with broad-leaved species. Overyielding at the stand level occurs where Chinese fir compensates for the underperformance of broad-leaved trees.

ForestsVol. 15(11)
Jingdezhen University (CN), Chinese Academy of Forestry (CN), Zhejiang Academy of Forestry (CN)
Key Technologies Research and Development Program
Life in Land
Openalex Percentile: Top 81%
Forest ecology and management
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Species Mixing Improves Tree Growth and Timber Quality of Chinese Fir in Mixtures with Broad-Leaved Species in Central China — Z. Yin, Jiejie Jiao, et al. · Forests (2024) | TGRS Research Map | TGRS