文献类型：期刊文献

英文题名：Nonlinear mixed-effect branch growth model development for planted Korean pine in Northeast China

作者：Liu, Jiateng[1] Feng, Jian[2] Gao, Huilin[1] Chen, Dongsheng[3]

第一作者：Liu, Jiateng

通信作者：Gao, HL[1]

机构：[1]Shenyang Agr Univ, Coll Forestry, Shenyang 110866, Liaoning, Peoples R China;[2]Liaoning Acad Forestry Sci, Shenyang 110032, Liaoning, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forestry, State Key Lab Tree Genet & Breeding, Key Lab Tree Breeding & Cultivat,State Forestry &, Beijing 100091, Peoples R China

年份：2024

卷号：38

期号：2

起止页码：409-421

外文期刊名：TREES-STRUCTURE AND FUNCTION

收录：;EI(收录号：20240815605593);Scopus(收录号：2-s2.0-85185527860);WOS:【SCI-EXPANDED(收录号:WOS:001170618200001)】；

基金：We are deeply indebted to the other researchers who contributed to this project. The authors also thank the students who have worked hard in data collection. This study was financed by National Key Research and Development Program of China (No: 2022YFD2201800-02), the Research project on technological innovation and development from National Forestry and Grassland Administration (No: 2023132015).

语种：英文

外文关键词：Branch growth model; Mixed-effects model; Competition variable; Pinus koraiensis plantation

摘要：Branch growth is an important aspect of the tree growth process. Studying the branch growth pattern is important for understanding the growth of trees and optimizing forest management decisions. A total of 48 planted Korean pine sample trees from northeast China were selected, and a total of 327 sample branches were measured for branch diameter growth model development and 323 sample branches for branch length. Based on the aforementioned research objectives and the obtained data, the impact of individual tree variables, branch variables, and forest stand competition variables on branch growth were initially investigated in this study. Finally, we constructed nonlinear mixed-effects models at the individual tree level. The results show that the Mitscherlich growth equation had the best fitting accuracy and was selected as the base model for developing the Korean pine branch growth model. Forest stand competition of the ratio of the basal area of the subject tree to the mean basal area of the stand (CI2) and branch variables of the branch length and branch diameter had the most significant contributions and were selected and introduced into the branch growth models. The branch growth became larger with increasing CI2, branch length and branch diameter, but the effects of the branch height and diameter at the breast height on branch growth should be considered in combination with their parameters and other variables together. In addition, the introduction of random effects effectively improves the fitting accuracy of the branch growth model. Overall, the Korean pine branch growth models developed in this study have good fitting performance and have important theoretical and practical value.