长江流域资源与环境 >> 2018, Vol. 27 >> Issue (01): 46-.doi: 10.11870/cjlyzyyhj201801009

• 自然资源 • 上一篇    下一篇

江西省耕地土壤氮素空间变异特征及其影响因素

江叶枫1,2,饶  磊1,郭  熙1,2*,叶英聪1,孙  凯1   

  1. (1.江西农业大学江西省鄱阳湖流域农业资源与生态重点实验室/国土资源与环境学院, 江西 南昌 330045;2.南方粮油作物协同创新中心,湖南 长沙 410000)
  • 出版日期:2018-01-20

Spatial Variability of Farmland Soil Nitrogen of Jiangxi Province and Its Influencing Factors#br#

JIANG Yefeng1,2, RAO Lei1, GUO Xi1,2, YE Yingcong1, SUN Kai1 #br#   

  1. (1.Jiangxi Agricultural University, Key laboratory of Poyang Lake Watershed Agricultural Resources and Ecology of Jiangxi Province/Academy of Land Resource and Environment, Nanchang 330045, China;2. Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China, Changsha 410000, China)
  • Online:2018-01-20

摘要: 为定量探讨省域尺度下土壤氮素空间变异特征及其影响因素。以江西省2012年测土配方施肥项目采集的16 582个耕地表层(0~20 cm)土壤样点数据,运用普通克里格、单因素方差分析与回归分析方法,对土壤氮素空间变异特征及其影响因素进行分析。结果表明:(1)江西省土壤全氮(TN)含量在026~375 g/kg之间,平均值为158 g/kg,变异系数为3101%;碱解氮(AN)含量值域范围为1160~39970 mg/kg,平均值为16431 mg/kg,变异系数为3460%;二者均呈中等程度的变异性。(2)经半方差分析,TN与AN的变程分别为31489和3030 km,TN的空间自相关范围大而AN较小。(3)在空间分布上,高值区主要分布在新余市、抚州市与景德镇市。(4)回归分析与单因素方差分析结果表明,地形因子、耕地利用方式、成土母质、土壤类型和秸秆还田方式对土壤氮素空间变异影响极显著(P<001)。秸秆还田方式对土壤TN与AN空间变异的独立解释能力最高,分别为271%与42%,是影响江西土壤氮素空间变异的主要因素。

Abstract: In order to quantitatively measure the soil nitrogen spatial characteristics of the Jiangxi province, 16582 points data collected from the project of 2012 soiltestbased formulated fertilization were analyzed in this study. The analysis methods included ordinary kriging, oneway variance analysis and regression analysis. The results showed: ①Total nitrogen (TN) ranged from 026 g/kg to 375 g/kg, with an average of 158 g/kg. The coefficient of variation was 3101%, indicating a moderately spatial variability. Available nitrogen (AN) ranged from 1160 mg/kg  to 39970 mg/kg, with an average of 16431 mg/kg. The coefficient of variation was 3460%, showing a moderately spatial variability.②The spatial changes of TN and AN were 31489 km and 3030 km, respectively; the spatial autocorrelation range of TN is larger and AN is smaller.③In the spatial distribution, the high value areas were mainly included the city of Xinyu, Fuzhou and Jingdezhen.④The terrain factors, farmlanduse type, parent material, soil type and straw returning patterns had significant impacts on the spatial variability of soil nitrogen(P<001). Straw returning patterns was the most important factor that influencing on soil nitrogen spatial variation of the Jiangxi province, which could explain 271% of TN spatial variability and 42% of AN spatial variability.

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