不同载畜率下短花针茅草原土壤水分空间异质性的分析

发布时间：2018-08-03 17:16

【摘要】：以短花针茅(Stipa breviflora)草原为研究对象,采用经典统计学和地统计学的方法对不同载畜率样地(不放牧、轻度放牧、中度放牧和重度放牧)的土壤水分进行描述性统计、半变异函数及空间插值分析,旨在研究载畜率对荒漠草原土壤水分空间异质性的影响。结果表明,01)各处理的土壤含水量均随载畜率的增大而逐渐升高,各处理的变异系数(CV)在7.29%~9.79%,均呈弱变异性。2)半变异函数分析显示各处理的土壤水分含量均呈指数模型,不放牧的结构比为74.4%,属于中等程度变异。轻度、中度、重度放牧处理的结构比分别为94.4%、91.2%和96.0%,具有强烈的空间自相关性;3)利用克里格插值法对各样地的未知采样点进行插值分析,发现重度放牧处理土壤水分的空间变异程度最大,不放牧处理土壤水分的空间变异程度最低。所以,载畜率对土壤水分的空间分布有明显的影响。
[Abstract]:Taking Stipa breviflora (Stipa breviflora) steppe as the research object, the soil moisture of different stocking rates (non-grazing, light grazing, moderate grazing and heavy grazing) was analyzed by classical statistics and land statistics. The semivariogram and spatial interpolation were used to study the effect of livestock loading rate on the spatial heterogeneity of soil moisture in desert steppe. The results showed that the soil water content of each treatment increased gradually with the increase of stocking rate, and the coefficient of variation (CV) of each treatment was 7.29 and 9.79, all of them were weakly variable (.2) the semi-variance function analysis showed that the soil moisture content of each treatment was exponential model. The structure ratio of ungrazing is 74. 4%, which belongs to medium degree variation. The structural ratios of light, moderate and heavy grazing treatments were 94.4% and 96.0%, respectively, with strong spatial autocorrelation. It was found that the spatial variation of soil moisture was the largest in heavy grazing treatment and the lowest in non-grazing treatment. Therefore, the livestock loading rate has a significant effect on the spatial distribution of soil moisture.
【作者单位】：内蒙古农业大学生态环境学院;内蒙古鄂尔多斯市环保局;
【基金】：国家自然科学基金(31460110;31170446) 内蒙古农业大学草地资源教育部重点实验室
【分类号】：S812.2

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