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应用生态学报 ›› 2010, Vol. 21 ›› Issue (07): 1627-1634.

• 研究报告 • 上一篇    下一篇

长白山阔叶红松林土壤无机氮空间异质性

徐 媛1,2,张军辉1**,韩士杰1,王树堂1,王存国1,王树起1   

  1. 1中国科学院沈阳应用生态研究所,沈阳 110016;2中国科学院研究生院,北京 100049
  • 出版日期:2010-07-20 发布日期:2010-07-20

Spatial heterogeneity of soil inorganic nitrogen in a broadleaved-Korean pine mixed forest in Changbai Mountains of Northeast China

XU Yuan1,2, ZHANG Jun-hui1, HAN Shi-jie1, WANG Shu-tang1, WANG Cun-guo1, WANG Shu-qi1   

  1. 1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China|2Graduate University of Chinese Academy of Sciences, Beijing 100049, China
  • Online:2010-07-20 Published:2010-07-20

摘要: 利用地统计学方法,研究了长白山阔叶红松林内土壤表层(0~10 cm)铵态氮和硝态氮的空间异质性.结果表明: 长白山阔叶红松林内土壤表层铵态氮和硝态氮的半方差函数可用球状模型或高斯模型拟合.土壤表层铵态氮和硝态氮的空间分布均呈现中等程度的空间自相关,结构比范围分别在0.70%~41.47%和32.26%~52.66%;铵态氮的空间自相关尺度小于硝态氮,变程分别为8.87和9.76 m.土壤表层铵态氮和硝态氮在空间上呈斑块状分布;铵态氮的空间异质性程度高于硝态氮,硝态氮与土壤水分呈显著负相关关系(r=-0.3743,P<0.05),而铵态氮与土壤水分无显著的相关关系.

关键词: 阔叶红松林, 铵态氮, 硝态氮, 空间异质性, 长白山, 青海云杉林,  , 群落结构,  , 空间异质性,  , 地统计学,  , 祁连山

Abstract: Geostatistic methods were applied to study the spatial heterogeneity of top soil (0-10 cm) ammonium N and nitrate N in a broadleaved-Korean pine mixed forest of Changbai Mountains, Northeast China. The semi-variogram of soil ammonium N and nitrate N could be well fitted by spherical or Gaussian model. The spatial distribution of soil ammonium N and nitrate N all exhibited moderate autocorrelation, with the structural ratio being 0.70%-41.47% and 32.26%-52.66%, and theautocorrelation degree of soil ammonium N was smaller than that of soil nitrateN, with the variation distance being 8.87 and 9.76 m, respectively. Spatially, soil ammonium N and nitrate N were distributed in patches, and the spatial heterogeneity of soil ammonium N was higher than that of soil nitrate N. There was a significant negative correlation between soil nitrate N and soil moisture content, while soil ammonium N had less correlation with soil moisture.

Key words: broadleaved-Korean pine mixed forest, ammonium N, nitrate N, spatial heterogeneity, Changbai Mountains, Picea crassifolia forest, community structure, spatial heterogeneity, geostatistics, Qilian Mountains.