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  • CN 62-1070/P
  • ISSN 1000-694X
  • 双月刊 创刊于1981年
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生物与土壤

敦煌葡萄液流特征及耗水分析

  • 白岩 ,
  • 朱高峰 ,
  • 张琨 ,
  • 马婷
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  • 兰州大学 西部环境教育部重点实验室 干旱环境与气候变化协同创新中心, 甘肃 兰州 730000
白岩(1987-),男,甘肃靖远人,硕士研究生,主要从事干旱区生态-水文过程研究.Email: baiy13@lzu.edu.cn

收稿日期: 2013-11-25

  修回日期: 2013-12-30

  网络出版日期: 2015-01-20

基金资助

国家自然科学基金项目(31370467);教育部新世纪优秀人才支持计划项目(NCET-11-0219);中央高校基本科研业务费专项(lzujbky-2013-m02)

Analysis of Variation of Sap Flow Velocity and Water Consumption of Grapevine in the Nanhu Oasis, Dunhuang, China

  • Bai Yan ,
  • Zhu Gaofeng ,
  • Zhang Kun ,
  • Ma Ting
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  • Collaborative Innovation Centre for Arid Environments and Climate Change, Key Laboratory of Western China's Environmental Systems with the Ministry of Education, Lanzhou University, Lanzhou 730000, China

Received date: 2013-11-25

  Revised date: 2013-12-30

  Online published: 2015-01-20

摘要

基于热平衡原理,运用FLOW32包裹式植物茎流计对甘肃敦煌南湖地区无核白葡萄液流速率进行长期连续观测,并对多个气象因子开展同步测定,分析探讨不同天气条件下葡萄液流速率及气象因子的日变化特征,进行了液流速率与各气象因子的回归分析,建立了液流速率的多元曲线回归模型,分析了葡萄树的耗水规律.结果表明:在不同天气条件下无核白葡萄树液流速率日变化差异显著,日均液流速率晴天 > 阴天 > 雨天;液流速率与光合有效辐射、水汽压亏缺呈线性相关,与冠层温度、冠层相对湿度呈曲线相关,相关程度大小顺序为光合有效辐射 > 水汽压亏缺 > 冠层温度 > 冠层相对湿度;建立液流速率的多元曲线回归模型,为研究葡萄树潜在耗水能力提供了预测手段;对比分析了无核白葡萄树的耗水量,为当地农业灌溉及种植等提供了合理化建议.

本文引用格式

白岩 , 朱高峰 , 张琨 , 马婷 . 敦煌葡萄液流特征及耗水分析[J]. 中国沙漠, 2015 , 35(1) : 175 -181 . DOI: 10.7522/j.issn.1000-694X.2013.00457

Abstract

By using FLOW32 sap flow sensors, the researchers employ the heat balance method to study sap flow velocity of grapevine in the Nanhu Oasis in Dunhuang, China. After detecting meteorological factors by automatic weather station, the paper analyzes the diurnal fluctuations of sap flow velocity of grapevine under different weather conditions, and conducts simple regression analysis between sap flow velocity of grapevine and meteorological factors, and establishes a multiple linear regression model to analyze the water-consuming pattern of grapevine. The result shows that, sap flow velocity varies in different weather conditions with statistical significance: the daily mean on sunny days is greater than that on cloudy days, with the rainy days the lowest. Analysis of partial correlations and regression analysis between sap flow velocity of grapevine and the main meteorological factors show that, sap flow velocity of grapevine correlates linearly with photosynthetically active radiation (PAR) and vapor pressure deficit (VPD), and correlates curve-linearly with canopy temperature (CT) and canopy relative humidity (CRH) in the pattern of PAR > VPD > CT > CRH. The result of multiple regression modeling can help better predict water consumption of grapevine (R2=0.95), and comparative analysis of water consumption of grapevines can help improve the local agricultural watering and planting.

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