文献类型：期刊文献

英文题名：Morphological Response of Urban Trees to Pruning: A Case Study of Acacia auriculiformis Across Size Classes

作者：Liu, Kaiheng[1] Pei, Nancai[2] Sun, Yanjun[3] Zhou, Jiameng[1,4] Guo, Wei[1] Lai, Can[1]

第一作者：Liu, Kaiheng

通信作者：Guo, W[1];Lai, C[1]

机构：[1]Zhongkai Univ Agr & Engn, Coll Hort & Landscape Architecture, Guangzhou 510225, Peoples R China;[2]Chinese Acad Forestry, Res Inst Trop Forestry, Guangzhou 510520, Peoples R China;[3]Guangdong Ecoengn Polytech, Sch Landscape Architecture, Guangzhou 510520, Peoples R China;[4]Beijing Forestry Univ, Sch Landscape Architecture, Beijing 100083, Peoples R China

年份：2025

卷号：16

期号：12

外文期刊名：FORESTS

收录：;EI(收录号：20260119861955);Scopus(收录号：2-s2.0-105026440858);WOS:【SCI-EXPANDED(收录号:WOS:001648623900001)】；

基金：This research was funded by the Guangzhou Science and Technology Plan Project (Grant No. 2025A04J5172), the National Natural Science Foundation of China (Grant No. 32201620) and the Guangdong Innovation Team for the Higher-educational Institution (Grant No. 2024KCXTD078).

语种：英文

外文关键词：urban trees; pruning; morphological response; size classes; generalized linear mixed models (GLMM)

摘要：Pruning is a regular and essential urban tree maintenance practice aimed at sustaining overall health, ecosystem services, and public safety. However, knowledge of post-pruning recovery dynamics remains limited, which in turn hinders accurate assessments of growth and ecological functions. To address this, we examined recovery dynamics of Acacia auriculiformis, a common urban species. Tree height and crown radius were recorded monthly for 12 months after pruning. Trees were classified into two size groups based on diameter at breast height (DBH, trunk diameter measured at 1.3 m above ground): medium (DBH < 45 cm) and large (DBH >= 45 cm). A generalized linear mixed model (GLMM), appropriate for repeated measures and non-normal data, was fitted using a Tweedie distribution and a log-link function to model the recovery pattern. Results showed continuous growth over time, with medium-sized trees presenting significantly higher crown radius growth than large trees (p = 0.006), while height growth did not differ (p = 0.788). The best model for height included time (AIC = -846.4), whereas crown recovery was best modelled by time and size class (AIC = -1586.6). These findings demonstrate that, in this study, medium-sized A. auriculiformis generally recover faster, especially in crown expansion. This exploratory study suggests that tree size may influence post-pruning recovery and can provide a reference for subsequent differentiated management studies. The morphological modeling further provides preliminary quantitative evidence for annual recovery dynamics in urban A. auriculiformis.