欢迎访问《生态学杂志》官方网站,今天是 分享到:

生态学杂志

• 研究报告 • 上一篇    下一篇

长白山阔叶红松林三种树种树干液流特征及其与环境因子的关系

于萌萌1,2,张新建3,袁凤辉1**,何秀1,关德新1,王安志1,吴家兵1,金昌杰1   

  1. 1森林与土壤生态国家重点实验室, 中国科学院沈阳应用生态研究所, 沈阳 110164; 2中国科学院大学, 北京 100049; 3天津市农业资源与环境研究所, 天津 300192)
  • 出版日期:2014-07-10 发布日期:2014-07-10

Characteristics of sap flow velocities for three tree species in a broad-leaved Korean pine forest of Changbai Mountain, in relation to environmental factors.

YU Meng-meng1,2, ZHANG Xin-jian3, YUAN Feng-hui1**, HE Xiu1, GUAN De-xin1, WANG An-zhi1, WU Jia-bing1, JIN Chang-jie1   

  1. (1State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China; 2University of Chinese Academy of Sciences, Beijing 100049, China; 3Tianjin Institute of Agriculture Resources and Environment, Tianjin, 300192)
  • Online:2014-07-10 Published:2014-07-10

摘要:

使用Granier热扩散式探针法,于2009年6—9月对长白山阔叶红松林3种主要树种(紫椴(Tilia amurensis)、色木槭(Acer mono)和红松(Pinus koraiensis))的树干液流速率进行连续测定,结合环境因子的同步观测,分析各树种树干液流的动态特征,并探讨液流速率与环境因子的关系。结果表明:3个树种的液流速率具有明显的单峰型日变化规律,相同天气条件下,液流启动时间和到达峰值时间相同,但停止时间不同,紫椴停止时间最晚。3个树种的日均液流速率季节变化趋势相同,均在8月份最大,6月份最小,液流速率日均值表现为紫椴>色木槭>红松。相关分析表明,光合有效辐射、饱和水汽压差是影响3个树种液流速率的主要环境因子;建立了依据环境因子推算液流速率的各月逐步回归模型。

 

关键词: 小粒咖啡, 回归分析, 复水, 水氮生产力, 干旱胁迫, 氮肥, 产量

Abstract: Sap flow velocities of Tilia amurensis, Acer mono and Pinus koraiensis in a broad-leaved Korean pine forest of Changbai Mountain were continuously measured from June to September of 2009 using Granier’s thermal dissipation sap flow probe method, with simultaneous measurements of environmental factors. Diurnal and monthly variations of sap flow velocities for the three species and the effects of environmental factors were analyzed. The results showed that diurnal variations of sap flow velocities for three species all displayed singlepeaked curves, and their starting time and peak time were the same. However, their end time showed a difference, and the diurnal end time of sap flow for T. amurensis was the latest. The monthly dynamics of sap flow velocities for the three species also showed a similar pattern, with their maximums appearing in August and minimums in June. Among the three species, the daily average sap flow velocity of T. amurensis was the highest in each month, with the lowest for P. koraiensis. Sap flow velocities of the three species were mainly affected by the photosynthetically active radiation and vapor pressure deficit. Stepwise regression models for predicting sap flow velocities of the three species based on environmental factors were established in each month.

Key words: nitrogen, water and nitrogen productivity, Coffea arabica, drought stress, regression analysis, rewatering, yield