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林业科学 ›› 2012, Vol. 48 ›› Issue (5): 130-135.doi: 10.11707/j.1001-7488.20120520

• 研究简报 • 上一篇    下一篇

亚热带典型丘陵坡地马尾松林土壤N2 O的年通量特征

苏王娟1,2, 付晓青2, 李勇2, 石辉1, 肖润林2, 童成立2, 吴金水2   

  1. 1. 西安建筑科技大学环境与市政工程学院 西安 710055;2. 中国科学院亚热带农业生态研究所亚热带农业生态过程重点实验室 长沙 410125
  • 收稿日期:2011-05-31 修回日期:2012-03-27 出版日期:2012-05-25 发布日期:2012-05-25
  • 通讯作者: 李勇

Annual Nitrous Oxide Fluxes from the Pinus massoniana Woodland in a Typical Hilly Region of the Southern Subtropical China

Su Wangjuan1,2, Fu Xiaoqing2, Li Yong2, Shi Hui1, Xiao Runlin2, Tong Chengli2, Wu Jinshui2   

  1. 1. College of Environment and Municipal Engineering, Xi'an University of Architecture and Technology Xi'an 710055;2. Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences Changsha 410125
  • Received:2011-05-31 Revised:2012-03-27 Online:2012-05-25 Published:2012-05-25

关键词: N2O排放, 马尾松, 亚热带, 环境因子, 森林土壤

Abstract:

Nitrous oxide (N2O) emissions from the Pinus massoniana woodland were continuously measured using a static closed-chamber method for a year of 2010 and gas chromatography in the southern subtropical in China, and the relationship between N2O fluxes and main environmental factors were analyzed. The observation result showed that the mean daily N2O flux during the period was 3.89 g N·hm-2d-1. The N2O fluxes had seasonal variation with the higher fluxes occurring in summer and early autumn, and the lower fluxes in late autumn, winter and spring. The negative fluxes were also observed in winter. The Pearson's correlation analysis indicated that daily N2O fluxes showed positive and significant correlations with daily minimum air temperature, soil temperature at 5 cm depth and soil volumetric water content of the 0~20 cm soil layer, and highly significant correlation with the cumulative precipitation over previous four days and soil mineral nitrogen content of the 0~20 cm soil layer. In addition, a model for predicting N2O emissions from the Pinus massoniana woodland was established using multiple linear regression analysis.

Key words: N2O emissions, Pinus massoniana, subtropical region, environmental factor, forest soil

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