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黄土高原水蚀风蚀交错带小流域土壤矿质氮空间变异性
引用本文:佘冬立, 邵明安, 俞双恩. 黄土高原水蚀风蚀交错带小流域土壤矿质氮空间变异性[J]. 农业工程学报, 2010, 26(6): 89-96.
作者姓名:佘冬立  邵明安  俞双恩
作者单位:1.河海大学南方地区高效灌排与农业水土环境教育部重点实验室,河海大学水利水电学院,南京 210098;2.中国科学院教育部水土保持与生态环境研究中心黄土高原土壤侵蚀与旱地农业国家重点实验室,杨凌 712100
基金项目:中央高校基本科研业务费专项资金资助项目(2009B02014);黄土高原土壤侵蚀与旱地农业国家重点实验室基金资助项目(10501-250);国家自然科学基金重点项目(90502006)资助;河海大学自然科学基金资助项目(2009422411)
摘    要:为探明小流域土壤养分特性空间变异规律及其与环境因子的关系,以非均匀取样方法测定了黄土高原水蚀风蚀交错带小流域土壤表层(0~10、10~20、20~40 cm)的硝态氮和铵态氮,采用经典统计和地统计学方法分析了其空间分布特征及变异结构。结果表明:土地利用空间配置成混合利用结构拦截和减少径流侵蚀,形成了土壤矿质氮坡面斑块镶嵌格局。小流域内硝态氮和铵态氮呈中等的空间变异和自相关性,其变异性由土壤系统内部因素包括土壤质地、矿物、成土过程、地形特征和人类活动造成的外部因素包括施肥和耕作等共同控制。建立了土壤矿质氮多元回归预测模型,各回归模型的自变量不同,表明不同土层硝态氮和铵态氮的变异受不同环境因子控制。分析认为合理配置土地利用形成斑块状结构和增加养分投入可以改善研究区土壤质量。

关 键 词:  空间变异管理  土地利用  地统计  回归模型
收稿时间:2009-08-05

Spatial variability of soil mineral nitrogen in a small catchment in the wind-water erosion crisscross zone of Loess Plateau
Spatial variability of soil mineral nitrogen in a small catchment in the wind-water erosion crisscross zone of Loess Plateau[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(6): 89-96.
Authors:She Dongli  Shao Mingan  Yu Shuang'en
Abstract:Objective of this study was to understand the spatial pattern of soil nutrient properties and their relationships with environmental factors in a small catchment. Spatial pattern and variability of surface (0-10, 10-20, 20-40 cm) soil ammonium and nitrate in a small catchment were analyzed combining with classical statistical and geo-statistics with data measured by non-uniform sampling method in the wind-water erosion of the Loess Plateau. Results showed that mixed land uses patterns developed by the spatial arrangement of different land uses could trap the runoff and sediments, which ultimately formed the plaque mosaic patterns of soil mineral nitrogen on the slope. Soil ammonium and nitrate presented moderate variability, and had moderate spatial autocorrelation. The spatial variability could be controlled by intrinsic variations in soil characteristics (texture, mineralogy, soil genesis processes and terrain) and extrinsic variations (soil fertilization and cultivation practices). The study built the spatial multiple regression-prediction models of soil mineral nitrogen under different soil layers. There were different variables entered to these models, which meant that at different soil depths, there were different environmental factors controlled the spatial variability of soil ammonium and nitrate. The results suggested that creating a mosaic pattern by land use arrangement and more nutrient matter input would improve the soil quality effectively on the hilly area of the Plateau.
Keywords:nitrogen   spatial variables measurement   land use   geostatistics   regression-prediction models
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