文献类型：期刊文献

英文题名：Modeling stand- and tree-level growth of Chinese fir plantations

作者：Chen, Hanyue[1,2] Cao, Quang, V[3] Jiang, Yihang[1] Hu, Yuxin[1] Zhang, Jianguo[1] Zhang, Xiongqing[1,2]

第一作者：Chen, Hanyue

通信作者：Zhang, XQ[1];Zhang, XQ[2]

机构：[1]Chinese Acad Forestry, Res Inst Forestry, State Key Lab Efficient Prod Forest Resources, Key Lab Tree Breeding & Cultivat Natl Forestry & G, Beijing 100091, Peoples R China;[2]Nanjing Forestry Univ, Collaborat Innovat Ctr Sustainable Forestry Southe, Nanjing 210037, Peoples R China;[3]Louisiana State Univ, Agr Ctr, Sch Renewable Nat Resources, Baton Rouge, LA 70803 USA

年份：2024

外文期刊名：CANADIAN JOURNAL OF FOREST RESEARCH

收录：;EI(收录号：20242516287212);Scopus(收录号：2-s2.0-85196264315);WOS:【SCI-EXPANDED(收录号:WOS:001217422400001)】；

基金：The authors appreciate the support of the National Key Research and Development Program of China (2021YFD2201304) , the National Natural Science Foundation of China (No. 31670634) , and the National Institute of Food and Agriculture, US Department of Agriculture, McIntire-Stennis project LAB94608. They also would like to thank Dr. Aiguo Duan for the field work.r (2021YFD2201304) , the National Natural Science Founda-tion of China (No. 31670634) , and the National Institute of Food and Agriculture, US Department of Agriculture, McIntire-Stennis project LAB94608. They also would like to thank Dr. Aiguo Duan for the field work.

语种：英文

外文关键词：stand survival; annual growth; quadratic mean diameter; three-fold cross-validation; self-thinning trajectory

摘要：Growth and yield systems are essential tools for enhancing forest management decision-making. This study systematically evaluated three stand-level models and two data types for predicting stand survival and basal area of Chinese fir (Cunning lanceolate (Lamb.) Hook.) plantations in southern China. The first model links survival and diameter through the self-thinning concept. The second model incorporates stand diameter, the previous year's diameter, and stand survival, while the third model treats stand survival and diameter as mutually independent functions of only stand age. Model 2 was the best performer for short-term prediction (2-4 years), whereas Model 3 excelled in longer projection periods (6-10 years). Despite the independent predictions of stand survival and diameter in Model 3, it closely tracked observed self-thinning trajectories in long-term predictions. Tree-level model growth derived from Models 2 and 3 performed optimally for short-term and long-term tree-level predictions, respectively. While limited to four experimental sites, this research contributes theoretical groundwork to growth and yield modeling for Chinese fir plantations.