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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

荒漠河岸胡杨(Populus euphratica)树干液流的时滞效应

  • 赵春彦 ,
  • 司建华 ,
  • 冯起 ,
  • 常宗强 ,
  • 鱼腾飞 ,
  • 李炜
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  • 1. 中国科学院寒区旱区环境与工程研究所, 甘肃 兰州 730000;
    2. 中国科学院大学, 北京 100039
赵春彦(1988-),女,甘肃天水人,硕士研究生,主要从事干旱区生态水文研究。Email:15294209589@163.com

收稿日期: 2013-06-16

  修回日期: 2013-07-22

  网络出版日期: 2014-09-20

基金资助

国家自然科学基金项目(91025024);中国科学院西部之光项目和中国科学院重点部署项目(KZZD-EW-04-05)资助

Time Lag Characteristics of Stem Sap Flow of Populus euphratica in Desert Riparian Forest

  • Zhao Chunyan ,
  • Si Jianhua ,
  • Feng Qi ,
  • Chang Zongqiang ,
  • Yu Tengfei ,
  • Li Wei
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  • 1. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;
    2. University of Chinese Academy of science, Beijing 100039

Received date: 2013-06-16

  Revised date: 2013-07-22

  Online published: 2014-09-20

摘要

以2012年4-9月树干液流速率与环境因子的实测数据,分析了荒漠河岸胡杨(Populus euphratica)树干液流的时滞效应。结果表明:不同月份胡杨树干液流速率对不同环境因子的时滞不同;4-9月,胡杨树干液流速率峰值时间比太阳辐射峰值时间晚约1 h,比空气温度峰值时间早约1 h,比水汽压差峰值时间早约2 h,比空气相对湿度谷值时间早约2 h;对影响胡杨树干液流速率的环境因子进行了主成分分析,发现胡杨树干液流速率与1 h以前的第1主成分、第2 主成分相关性最高,相关系数分别为0.864、0.875;对错位前后胡杨树干液流速率与环境因子进行多元线性回归分析发现,在胡杨树干液流的数值模拟中,考虑液流相对于环境因子的时滞效应可以提高模型的拟合精度。

本文引用格式

赵春彦 , 司建华 , 冯起 , 常宗强 , 鱼腾飞 , 李炜 . 荒漠河岸胡杨(Populus euphratica)树干液流的时滞效应[J]. 中国沙漠, 2014 , 34(5) : 1254 -1260 . DOI: 10.7522/j.issn.1000-694X.2013.00439

Abstract

The time lag between the stem sap flow of Populus euphratica and environmental factors were analyzed based on the experimental data of sap flow and environmental factors from April to September, 2012. The results showed that, in different seasons and for different environmental factors,the time lag effect varied obviously.The sap flow velocity of P. euphratica from April to September was lagged behind 1 hours to Photosynthetic radiation, but advanced of 1 hour to air temperature, of 2 hours to relative humidity, of 2 hours to vapor pressure deficit. The correlation coefficient were 0.709、0.766、-0.804 and 0.81. Principal component analysis could be used to simplify the complexity. The time lags of both the first and the second principal components were 1 hour in advance of the sap flow of P. euphratica. The regression analysis showed that with time lag effect considered, model fitting precision would be improved.

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