[1]王合玲,张辉国,吕光辉.艾比湖流域土壤有机质与土壤因子响应关系的空间非平稳性分析[J].水土保持研究,2016,23(02):224-228.
　WANG Heling,ZHANG Huiguo,Lü Guanghui.Analysis of Spatial Non-stationary Relationships Between Soil Organic Matter and Soil Factors in Ebinur Lake Basin[J].Research of Soil and Water Conservation,2016,23(02):224-228.
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艾比湖流域土壤有机质与土壤因子响应关系的空间非平稳性分析

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 23 期数: 2016年02期 页码: 224-228 栏目: 出版日期: 2016-04-28
Title:
Analysis of Spatial Non-stationary Relationships Between Soil Organic Matter and Soil Factors in Ebinur Lake Basin
作者:
王合玲1,2, 张辉国3, 吕光辉2
1. 新疆财经大学 应用数学学院, 乌鲁木齐 830012;
2. 新疆大学 绿洲生态重点实验室, 乌鲁木齐 830046;
3. 新疆大学 数学与系统科学学院, 乌鲁木齐 830046
Author(s):
WANG Heling1,2, ZHANG Huiguo3, Lü Guanghui2
1. College of Applied Mathematics, Xinjiang University of Finance and Economics, Urumqi 830012, China;
2. Xinjiang Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China;
3. Institute of Mathematics and System Science, Xinjiang University, Urumqi 830046, China
关键词:
土壤有机质; 土壤因子; 空间非平稳性; 地理加权回归模型; 艾比湖流域
Keywords:
soil organic matter; soil factors; spatial non-stationarity; geographically weighted regression; Ebinur Lake Basin
分类号:
S159.2;Q142.3
摘要:
为了研究新疆艾比湖流域土壤有机质（SOM）与土壤因子响应关系的空间非平稳性，文章应用地理加权回归模型（GWR）分析了2009年艾比湖流域49个样点1—120 cm土壤层有机质与土壤酸碱性、电导率和重金属含量之间关系的空间变异特征。研究结果表明：在平均意义下，土壤酸碱性和电导率对SOM含量具有反向影响，而重金属含量的影响是正向的，但是在流域的不同区域以及不同深度土壤层间，各土壤因子对SOM含量的影响空间差异显著、具有非平稳性，流域的东西两端及60—120 cm土壤层的非平稳性尤为显著。模型的残差分析结果证实GWR拟合效果较好。
Abstract:
In order to study the spatial non-stationary relationships between soil organic matter (SOM) and soil factors in Ebinur Lake Basin, according to 49 samples of 1—120 cm soil layer from the Ebinur Lake Basin in 2009, Geographically Weighted Regression (GWR) was employed to analyze spatial heterogeneity regression relationships between SOM and soil factors including soil pH, electrical conductivity and heavy mental contents. The results show that, in an average sense, soil pH and electrical conductivity have the reverse impact on the SOM content, and the impact of the heavy metal contents is positive. However, the regression relationships between SOM contents and each soil factor are significantly spatial non-stationary and vary with the region and soil depth in the basin. Specifically, the spatial non-stationarity is more significant in the eastern and western regions of the basin and the 60—120 cm soil layer. The residual diagnosis indicates that the GWR model is effective.

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备注/Memo

收稿日期:2015-04-02;改回日期:2015-05-12。
基金项目:国家自然科学资助项目（41261087）；教育部人文社会科学青年研究项目（12XJJC91001）；新疆大学博士启动资助项目（BS130103）；新疆财经大学博士项目基金（2014BS003）
作者简介:王合玲(1975-),女,新疆乌鲁木齐人,博士,副教授,硕导,研究方向为空间统计学及区域生态学与生态模型。E-mail:wang_heling@163.com

更新日期/Last Update: 1900-01-01