江西省耕地土壤氮素空间变异特征及其主控因素
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张晗(1992-),男,江西永丰人,硕士研究生,主要从事土地(土壤)遥感与信息、生态环境和土壤养分循环研究。E-mail:zhanghan0307@163.com

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国家自然科学基金项目(41361049);江西省自然科学基金项目(20122BAB204012);土壤与农业可持续发展国家重点实验室(中科院南京土壤研究所)开放基金项目(0812201202)


Spatial Variation of Soil Nitrogen and Its Main Controlling Factors in Cultivated Land of Jiangxi Province
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    摘要:

    根据江西省采集的16 823个耕层(0—20 cm)土壤样点数据,运用实地调查、经典统计学及地统计学等分析方法,对江西省耕地土壤氮素含量的空间变异特征及其影响因素进行了深入探讨。结果表明:江西省土壤全氮(TN)含量和碱解氮(AN)平均含量分别为1.57 g/kg和164.13 mg/kg,两者均处于丰富级水平。通过半方差函数分析,土壤TN和AN的块金基台比分别为62.03%和78.97%,两者空间变异特征受到结构性因素和随机性因素的共同影响,但受到随机性因素的影响更大;Kriging插值结果显示,研究区土壤AN与TN含量在空间分布上基本一致,均表现出北高南低的空间分布趋势。回归分析表明,成土母质、土壤类型、地形因子、土壤侵蚀、秸秆还田方式、农田利用方式和氮肥施用量对土壤TN和AN空间变异均有极显著影响(P<0.01)。地形因子中高程和河流动能指数与土壤AN与TN含量呈显著负相关关系(P<0.05);成土母质对TN和AN空间变异具有6.1%和4.1%的独立解释能力,土壤类型对TN和AN的空间变异的独立解释能力分别在4.2%~4.7%和3.1%~4.0%,地形因子对TN和AN空间变异具有4.2%和2.8%的独立解释能力,土壤侵蚀程度对TN和AN空间变异具有6.2%和3.5%的独立解释能力,秸秆还田方式对TN和AN空间变异的具有27.3%和3.3%的独立解释能力,农田利用方式对TN、AN空间变异具有2.9%和2.0%的独立解释能力,氮肥施用量对TN、AN空间变异的独立解释能力分别为18.8%和5.6%。因此,秸秆还田方式和氮肥施用量是引起江西省土壤氮素空间变异性的主控因素。

    Abstract:

    Based on the soil data of 16 823 plow layer (0—20 cm) samples of cultivated land soil collected in Jiangxi Province, the spatial variation characteristics of soil nitrogen and the affecting factors at a province scale were studied by field survey, mathematical statistics analysis and geostatistics analysis methods. The results showed that the average contents of soil total nitrogen (TN) and available nitrogen (AN) were 1.57 g/kg and 164.13 mg/kg, respectively, which indicated that both the TN and AN in the study area were at a rich level. According to semi-variance function analysis, the values of the nugget to sill ratio were 62.03% and 78.97%, respectively, which suggested that the spatial variation of TN and AN in Jiangxi Province were determined by the co-effects of structural and random factors, but the random factors played a more important role. The contents of TN and AN were basically the same in the spatial distribution, which were much higher in the north area than those of south area by using ordinary kriging interpolation. The regression analysis results showed that soil parent materials, soil types, topography, soil erosion, straw returning pattern, farmland use types and nitrogen fertilization rates had very significant impacts on spatial variation of soil TN and AN (P<0.01). Soil TN and AN contents showed significant negative correlations with elevation and river dynamic index (P<0.05). The soil parent materials were able to independent explain 6.1% and 4.1% of soil TN and AN spatial variation, and the independent interpretation ability of soil types to TN and AN spatial variation was 4.2% to 4.7% and 3.1% to 4%, respectively, and topographic factors explained 4.2% of TN variation and 2.8% of AN spatial variation. Soil erosion explained 6.2% and 3.5% of soil TN and AN spatial variation. Straw returning pattern explained 4.2% and 3.3% of spatial variation of TN and AN, respectively. Farmland use types explained soil TN and AN spatial variation by 2.9% and 2.0%, respectively. The independent explanatory ability of nitrogen fertilizer application on spatial variation of TN and AN were 18.8% and 5.6%, respectively. Thus, the straw returning pattern and annual nitrogen fertilizer application rates were the main factors in controlling the spatial variation of soil nitrogen in Jiangxi Province.

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张晗, 欧阳真程, 赵小敏, 郭熙, 李伟峰, 匡丽花, 叶英聪.江西省耕地土壤氮素空间变异特征及其主控因素[J].水土保持学报,2018,32(5):304~312

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  • 收稿日期:2018-02-20
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  • 在线发布日期: 2018-10-16
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