皖南香榧树干液流对环境因子的响应特性  

Response characteristics of stem sap flow of Torreya grandis to environmental factors in southern Anhui

作　　者：田原 郑兆东 刘璇 汪春霞[1] 闫青 姚荷婷 TIAN Yuan;ZHENG Zhaodong;LIU Xuan;WANG Chunxia;YAN Qing;YAO Heting(College of Life and Environmental Science,Huangshan University,Huangshan 245041,Anhui,China;Hohhot Forestry and Grassland Bureau,Hohhot 010010,Inner Mongolia,China)

机构地区：[1]黄山学院生命与环境科学学院,安徽黄山245041 [2]呼和浩特市林业和草原局,呼和浩特010010

出　　处：《果树学报》2022年第10期1873-1881,共9页Journal of Fruit Science

基　　金：中央财政林业科技推广示范项目(175070050002);安徽省教育厅一般项目(KJHS2021B01);黄山学院人才启动项目(2020xkjq012);大学生创新创业训练计划项目(S202110375073,S202110375074)。

摘　　要：【目的】探究干果树种香榧(Torreya grandis)的树体水分与适生环境水热条件的关系,为香榧经济林生态定位监测提供理论借鉴。【方法】进行为期2 a(年)的香榧树干液流密度、水热因子的生态定位监测,研究树干液流与环境因子的相关性及定量关系。【结果】不同观测周期的环境因子变化特征较为一致,不同观测周期的树干液流密度具有不同变化特征。第1观测周期、第2观测周期的树干液流密度变异系数分别为36.9%和34.2%。不同观测周期的树干液流密度对环境因子响应特性不同,土壤体积含水量对树干液流变化的响应最强,其可以解释42.6%~51.9%的树干液流变化。连续高温日的树干液流密度响应环境因子与以年为观测时间窗口的树干液流密度响应环境因子有所不同,连续高温日的树干液流密度对环境因子的响应未显示出以年为观测时间窗口的土壤体积含水量对树干液流密度的主导作用。【结论】土壤体积含水量对香榧树干液流解释性最强,对其进行定位监测可以定量分析香榧树体水分状态。香榧树干液流对环境因子的响应研究需考虑不同观测时长对结果产生的影响。【Objective】Torreya grandis, a unique nut tree species in China, has high economic and ecological values. At present, it’s still unclear about the quantitative relationship between the distribution of T. grandis and the suitable environment. In this study, T. grandis was used to establish the quantitative relationship between the stem sap flow and the environmental factors. On this basis, we investigated whether the response characteristics of T. grandis stem sap flow to the environmental factors would be affected by different observation periods. It was further verified whether the response of the stem sap flow to the environmental factors under continuous 19 d high temperature was consistent with that in the observation period on annual scale. This study would provide a theoretical reference for the ecological locating monitoring in T. grandis economic forest.【Methods】The method of ecological positioning observation was used to record the changes of the sap flow density of T. grandis every 15 minutes based on thermal diffusion technology. A small automatic weather station was used to simultaneously obtain the data of environmental hydro-thermic factors. The data on the changes of the sap flow density of T.grandis and environmental factors from April 1, 2020 to March 31, 2021 were matched and divided based on the first observation period, the second observation period and the comprehensive observation period with year the scale. In every observation period, consecutive 19 d high temperature was selected as the continuous high temperature days of the observation period. The continuous high temperature days of the comprehensive observation period were the total continuous high temperature days of the two observation periods. The Pearson correlation analysis and stepwise regression analysis were carried out respectively in the first observation period, the second observation period and the comprehensive observation period, including the sap flow density and air temperature, daily maximum air temperature,ai

关 键 词：香榧 液流密度 热扩散法 水热因子 观测时长 树体水分 

分 类 号：S664.5[农业科学—果树学]