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干旱区地理 ›› 2014, Vol. 37 ›› Issue (4): 704-712.

• 气候与水文 • 上一篇    下一篇

干旱区艾比湖湿地土壤呼吸的空间异质性

秦璐1,2,3,吕光辉1,张雪妮1,2,何学敏1,2,王合玲1,2   

  1. (1   新疆绿洲生态教育部重点实验室, 新疆   乌鲁木齐   830046;   2   新疆大学资源与环境科学学院, 新疆   乌鲁木齐   830046;
    3    新疆环境保护科学研究所, 新疆    乌鲁木齐    830011)
  • 收稿日期:2013-09-17 修回日期:2013-11-18 出版日期:2014-07-25
  • 通讯作者: 吕光辉(1963-),男,博士,教授,山东青岛人,主要从事植物生理生态、生态系统生态学与生物多样性研究. Email:ler@xju.edu.cn
  • 作者简介:秦璐(1985-),女,博士生,新疆奎屯人,主要从事区域生态系统与生态建模研究. Email:ql198588@yahoo.cn
  • 基金资助:

    国家自然科学基金重点项目(41130531);新疆大学绿洲生态重点实验室(教育部省部共建)开放课题经费资助项目(XJDX0201- 2012-06)

Spatial heterogeneity of soil respiration at Ebinur Lake Wetland Nature Reserve in arid area

QIN  Lu1,2,LV  Guang-hui1,2,ZHANG  Xue-ni1,2,HE  Xue-min1,2,WANG  He-ling1,2   

  1. (1   Xinjiang Key Laboratory of Oasis Ecology, Urumqi  830046, Xinjiang, China;2   College of Resources and Environment Science, Xinjiang University, Urumqi  830046, Xinjiang, China;3   Xinjiang Academy of Environmental Protection Science, Urumqi  830011, Xinjiang, China)
  • Received:2013-09-17 Revised:2013-11-18 Online:2014-07-25

摘要: 利用LI-8100土壤呼吸测定系统连续一年测定艾比湖湿地3个典型生态系统土壤呼吸,定量研究其与0~50 cm土壤有机碳的关系,在此基础上估算艾比湖湿地97个点的土壤呼吸速率,进一步采用传统和地统计学的方法对土壤呼吸及环境因子的空间异质性进行分析。结果表明:土壤呼吸速率在0.342~10.848 μmol·m-2·s-1之间,平均值为1.109 μmol·m-2·s-1,变异系数为167.37%,属强变异;高斯模型能较好地反映土壤呼吸和0~50 cm土壤有机碳的空间结构特征;土壤呼吸、土壤有机碳和土壤含水量的C0/(C0+C)]均在0%~0.1%之间,反映了土壤呼吸、土壤有机碳和土壤含水量在此研究尺度上具有强烈的空间异质性,且结构性因子影响其空间变异。用Kriging插值法绘制的土壤呼吸空间分布图表明土壤呼吸在空间分布上存在着高度的空间自相关性,在研究区大尺度长时间范围内,土壤有机碳是影响土壤呼吸空间分布的主要因子。总体上,艾比湖湿地自然保护区土壤呼吸呈现东南、西北方向高,中部低的特点,且具有明显的斑块和连续分布的特点。

关键词: 地统计学, Kriging插值, 艾比湖

Abstract: Soil respiration changes not only in time but also in space obviously. Those temporal and spatial variations enhance uncertainties in soil respiration measurements. Understanding the spatial and temporal variation in soil respiration of a region is fundamental for an accurate estimation of soil respiration in the region. Geostatistics method is a spatial analysis method evolved from the traditional statistics analysis,which is not only can effectively reveal the spatial distribution variation characteristics of variables,but also can effectively explain the implications of spatial patterns on ecological processes and functions. With the wide application of geostatistics in ecological research,making conduct research on spatial heterogeneity of soil respiration and variance process on a larger-scale become possible. At the beginning of the century,the scientists abroad conducted research on spatial heterogeneity of soil respiration and its influencing factors using geostatistics method,while those researches in domestic began in recent years. In this paper,the soil respiration of three ecosystems was measured from November 2009 to February 2012 at Ebinur Lake Wetland Nature Reserve,Bortala Mongol Autonomous Prefecture,Xinjiang,China,and quantitative study carried out on the relationship between soil respiration and 0-50cm soil organic carbon,and then simulated soil respiration accomplished at 97 sites in Ebinur Lake Wetland Nature Reserve through model. And at last, the spatial heterogeneity was analyzed of soil respiration and its relation to other environmental factors using both traditional and geostatistics methods. The traditional statistical analysis(descriptive statistics)showed that the soil respiration rate was between 0.342 and 10.848 μmol·m-2·s-1,and the average was 1.109 μmol·m-2·s-1,the coefficients of variation were 167.37%,indicating that spatial variation of soil respiration in this area was strong. When semi-variance analysis of geostatistics was used,the results showed the spatial structure feature of soil respiration rate and soil organic matter at 0-50 cm layer could well be described by Gauss model.The C0/(C0+C)values were all range from 0 to 0.1% for soil respiration, soil organic carbon and soil moisture,indicating that spatial variation of them in this area were strong,and the spatial heterogeneities of them were resulted from structural factors. The ecological progresses influence soil respiration,soil organic carbon and soil moisture which change with time at the same scales. The spatial distribution map of soil respiration rates produced with the Kriging interpolation method shows that there is a high degree of spatial autocorrelation on the spatial distribution of soil respiration; and on the large scale and for a long time,the soil organic carbon content is the main factor to affect the spatial distribution of soil respiration in this study area. On the whole,soil respiration rates are high in the southeast and the northwest and low in the middle region of Ebinur Lake Wetland Nature Reserve,and as for the spatial traits of soil respiration rates, they are characterized by clear plaques distribution and continuous one.

Key words: geostatistics, Kriging interpolation method, Ebinur Lake

中图分类号: 

  • S154.1