湟水流域农田土壤全氮空间分布特征及其影响因素分析

发布时间：2018-05-21 01:02

本文选题：土壤全氮 + 农田土壤　；参考：《北方园艺》2017年16期

【摘要】：利用湟水流域已有文献中38个农田耕层(0~20cm)土壤全氮数据,采用传统统计学与地统计学相结合的方法,分析了该流域农田土壤全氮空间分布及影响因素。结果表明:土壤全氮均值为1.33g·kg~(-1),变异系数为47.37%,属中等变异。流域农田土壤全氮呈自北向南逐渐递减,由东向西先增加后减少的空间分布格局。按全国土壤全氮分级标准,高值区(1.50g·kg~(-1))集中在海拔较高的大通县、海晏县,低值区(1.00g·kg~(-1))集中于海拔稍低的民和县、湟中县,65.5%的区域达全国平均水平(1.30g·kg~(-1))。影响因子定量分析表明,不同的气候因子、土壤类型、海拔、施肥量都会影响该流域土壤全氮的空间分布,其中气温、海拔、降水为主要影响因子,对全氮变异的独立解释能力分别为35.7%、29.0%、21.3%。该研究初步揭示了湟水流域农田土壤全氮的空间分布特征,可为流域尺度农田的科学管理提供有益参考,并为合理开展施肥工作提供参考依据。
[Abstract]:The spatial distribution and influencing factors of total nitrogen in farmland soil in Huangshui watershed were analyzed by combining traditional statistics with geostatistics. The results showed that the mean value of total nitrogen was 1.33 g / kg ~ (-1) and the coefficient of variation was 47.37%. The total nitrogen of farmland soil decreased gradually from north to south and increased first from east to west and then decreased from east to west. According to the national standard of soil total nitrogen classification, the high value area (1.50 g / kg) was concentrated in Datong County, Haiyan County and low value area (1.00 g / kg) in Minhe County, where the elevation was slightly lower, and 65.5% of the area in Huangzhong County reached the national average level of 1.30 g / kg ~ (-1). The quantitative analysis of influencing factors showed that different climatic factors, soil types, altitude and fertilization amount would affect the spatial distribution of soil total nitrogen in the watershed, and the temperature, altitude and precipitation were the main influencing factors. The independent interpretation of total nitrogen variation was 35.70.29.0 and 21.3respectively. This study revealed the spatial distribution characteristics of total nitrogen in farmland in Huangshui watershed, which can provide a useful reference for the scientific management of farmland on the watershed scale, and provide a reference basis for rational fertilization.
【作者单位】：青海师范大学青海省自然地理与环境地表过程重点实验室;贵州省松桃苗族自治县农牧科技局;
【基金】：国家自然科学基金青年资助项目(41301230) 国家科技基础工作专项资助项目(2014FY110200A04)
【分类号】：S153.6

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