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当前位置: 首页 > 文章 > 干旱区杏李树干液流时滞特征研究 经济林研究 2017 (2) 138-144
Position: Home > Articles > Study on time-lag characteristics of stem sap flow in Prunus salicina×armeniaca at arid areas Nonwood Forest Research 2017 (2) 138-144

干旱区杏李树干液流时滞特征研究

作  者：
李雯雯;徐业勇;魏雅君;冯贝贝;王明;杨红丽;牛莹莹;廖康
单  位：
新疆林业科学院佳木试验站;新疆农业大学特色果树研究中心
关键词：
杏李;树干液流;气象因子;时滞;主成分分析;线性回归
摘  要：
为探讨树干液流速率与气象因子之间的时滞特性,采取PS-TDP8型热耗散式树干液流测定系统持续监测,以掌握树体蒸腾耗水规律,从而为杏李科学灌溉提供理论依据。研究结果表明:杏李生长季液流速率日均最大值在6月18日;决定其第1主成分大小的是温度及水气压亏缺,决定第2主成分大小的是光照强度及空气相对湿度。4—8月液流速率均与1 h前第1、2主成分相关性最大;杏李生长季液流与1 h前光照强度相关性最大,相关系数为0.810,与1 h后的气温、空气相对湿度、水汽压亏缺相关性最大,系数分别为0.757,-0.572,0.736;回归方程中液流与实时气象因子拟合决定系数最大,为0.751。杏李生长季液流速率与实时气象因子回归拟合模型效果最好,体现了杏李在长期树干液流数据模拟中,可以不用考虑液流速率与气象因子的时滞效应。
译  名：
Study on time-lag characteristics of stem sap flow in Prunus salicina×armeniaca at arid areas
作  者：
LI Wenwen;XU Yeyong;WEI Yajun;FENG Beibei;WANG Ming;YANG Hongli;NIU Yingying;LIAO Kang;Featured Fruit Tree Research Center,Xinjiang Agricultural University;Xinjiang Academy of Forestry,Jiamu Test Station;
关键词：
Prunus salicina × armeniaca;;stem sap flow;;meteorological factor;;time-lag;;principal component analysis;;linear regression
摘  要：
In order to understand the time-lag effect between stem sap flow rate and meteorological factors, and to provide some theoretical basis for water management of Prunus salicina×armeniaca, data were continuous monitored by using the PS-TDP8 type thermal dissipation sap flow measurement system, the law of water consumption of tree body was researched. The results showed that the average daily stem sap flow during growth season occured the maximum value in 18 th of June. Determination factors of the first principal component were temperature and water vapor pressure deficit, and determination factors of the second principal component were light intensity and air relative humidity. From April to August, the sap flow rate had the maximum correlation with the first and second principal components before one hour. The sap flow during growth season had the maximum correlation with light intensity before one hour, and the coefficient was 0.810. The sap flow during growth season had the maximum correlation with temperature, air relative humidity, water vapor pressure deficit after one hour, and the coefficients were 0.757,-0.572, 0.736, respectively. There was the maximum fitting coefficient of determination(0.751) between sap flow rate and real-time meteorological factors in regression equation. The regression fitting model of stem sap flow rate during growth season and real-time meteorological factor had the best effect, and it showed that the time-lag effect of sap flow rate and meteorological factors might not be considered in numerical simulation of stem sap flow of P. salicina×armeniaca for a long term.

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