Wen Shuo, Shi Zhongjie, Zhang Xiao, Pan Leilei, Kwon Semyung, Li Yuheng, Yang Xiaohui, Li Hanzhi
Research Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China.
Research Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091, China.
Plants (Basel). 2023 Jul 7;12(13):2584. doi: 10.3390/plants12132584.
(1) Background: The forest of var. is an important semi-arid ecosystem in Hulunbuir sandy land that plays a key role in the carbon cycle and wind erosion control. It is crucial to explore the main factors affecting the radial growth of trees of var. . (2) Methods: The study established the tree-ring chronology of var. and analyzed the relationships among the radial growth, competition index, and climate variables using correlation analysis and a linear mixed effect model to explore the influence of competition and climate on radial growth of var. . (3) Results: The results indicated that tree growth is mainly affected by the maximum average temperature (T) and precipitation in June and July of the current year and that tree growth significantly decreased with increasing competition pressure. Analysis of the linear mixed effect model showed that tree age, competition intensity, self-calibrating Palmer drought severity index (scPDSI) from May to July, and vapor pressure deficit (VPD) have a significant impact on radial growth. (4) Conclusions: The competition plays a dominant role in radial growth of var. compared to climate factors. This study helps to understand the growth mechanism of var. forests under climate change and provides a scientific basis for effective management of semi-arid forests.
(1) 背景：沙地樟子松林是呼伦贝尔沙地重要的半干旱生态系统，在碳循环和防风蚀方面发挥着关键作用。探究影响沙地樟子松径向生长的主要因素至关重要。(2) 方法：本研究建立了沙地樟子松的树轮年表，并运用相关分析和线性混合效应模型分析了径向生长、竞争指数与气候变量之间的关系，以探究竞争和气候对沙地樟子松径向生长的影响。(3) 结果：结果表明，树木生长主要受当年6月和7月的最高平均温度（T）和降水量影响，且随着竞争压力的增加树木生长显著下降。线性混合效应模型分析表明，树龄、竞争强度、5月至7月的自校准帕尔默干旱严重指数（scPDSI）以及水汽压亏缺（VPD）对径向生长有显著影响。(4) 结论：与气候因素相比，竞争在沙地樟子松径向生长中起主导作用。本研究有助于理解气候变化下沙地樟子松林的生长机制，并为半干旱森林的有效管理提供科学依据。
