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Site classification of Eucalyptus urophylla × Eucalyptus grandis plantations in China  ( EI收录)  

文献类型:期刊文献

英文题名:Site classification of Eucalyptus urophylla × Eucalyptus grandis plantations in China

作者:Lu, Haifei[1] Xu, Jianmin[1] Li, Guangyou[1] Liu, Wangshu[1]

第一作者:Lu, Haifei

通信作者:Xu, Jianmin

机构:[1] Key Laboratory of State Forestry Administration on Tropical Forestry, Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 510520, China

年份:2020

卷号:11

期号:8

外文期刊名:Forests

收录:EI(收录号:20203709170020);Scopus(收录号:2-s2.0-85090403526)

基金:Funding: Project supported by the National Key Research and Development Program of China during the 13th five-year plan Period (Grant No. 2016YFD0600503).

语种:英文

外文关键词:Hierarchical clustering - Hierarchical systems - Productivity - Reforestation - Site selection - Textures - Trace elements

摘要:Background and Objectives: It is important to match species needs with site conditions for sustainable forestry. In Eucalyptus urophylla × Eucalyptus grandis plantations in southern Yunnan, China, Species-site mismatches have led to inappropriate expansion and management, which has degraded forests and decreased efficiency in plantation production. Further research is needed to understand the relationship between tree growth and site productivity. We empirically explored site features and classified site types within these plantations in southern Yunnan. Our objective was to develop a theoretical basis for improving site selection for afforestation, and to establish intensive management in that region. Materials and Methods: 130 standard plots were set up in 115-year-old eucalyptus plantations in Pu'er and Lincang. We used quantification theory to examine the relationship between dominant tree growth traits and site factors. Hierarchical cluster analysis and canonical correlation analysis were applied to classify sites and evaluate the growth potential of E. urophylla × E. grandis plantations, respectively. Results: The multiple correlation coefficient between eight site factors (altitude, slope, slope position, aspect, soil depth, texture, bulk density, and litter thickness) and the quantitative growth of the dominant tree was 0.834 (p ? 2020 by the authors.

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