...
首页> 外文期刊>Soil Science >SPATIAL DEPENDENCE AND RELATIONSHIPS OF ELECTRICAL CONDUCTIVITY TO SOIL ORGANIC MATTER, PHOSPHORUS, AND POTASSIUM
【24h】

SPATIAL DEPENDENCE AND RELATIONSHIPS OF ELECTRICAL CONDUCTIVITY TO SOIL ORGANIC MATTER, PHOSPHORUS, AND POTASSIUM

机译:电导率对土壤有机质,磷和钾的空间依赖性和关系

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Apparent electrical conductivity (EC_a) can be an indirect indicator of soil nutrient concentrations, and strong relationships between EC_a and nutrients may help delineate fertility management zones. The objectives of this study were to determine therelationships among EC_a, organic matter (OM), P, and K and to assess the spatial dependency and correlation components of such relationships. Spatial correlations and relationships of EC_a with OM, P, and K were determined using geostatistical and regression analyses. EC_a was measured in parallel transects 4.6 m apart in adjacent Indiana (United States) fields with multiple soil series in 2001, 2002, and 2003. Electrical conductivity, OM, P and K were strongly spatially dependent. Spatial correlations between EC_a and these variables were cyclic: positive at distances of &40 m, but negative at distances &70 m. Organic matter, P, and K showed relatively low but significant correlations with EC_a in all the 3 years of study. Maximum correlations wereobtained with OM, P, and K (r=0.55, 0.50, 0.53, respectively) when soil moisture content was relatively higher in 2003. Data separation by soil series improved correlations between EC_a and soil chemical attributes when the soil was a Mollisol, but not for an Alfisol. Regression models showed that EC_a was significantly related to the variables but that EC_a failed to detect concentration changes and explained &7% of the variability of these nutrients. The results suggested that EC_a has limited usefulness in estimating soil chemical properties or in defining possible management zones for OM, P, and K in these soils.
机译:表观电导率(EC_a)可以间接指示土壤养分浓度,EC_a与养分之间的密切关系可以帮助划定肥力管理区。这项研究的目的是确定EC_a,有机质(OM),P和K之间的关系,并评估这种关系的空间依赖性和相关成分。使用地统计和回归分析确定EC_a与OM,P和K的空间相关性和关系。 EC_a在2001年,2002年和2003年在相邻的印第安纳州(美国)多个土壤系列的平行样点中相隔4.6 m进行测量。电导率,OM,P和K在空间上具有高度依赖性。 EC_a与这些变量之间的空间相关性是周期性的:在距离小于40 m时为正,而在距离小于70 m时为负。在整个三年的研究中,有机质,磷和钾与EC_a的相关性均较低,但存在显着相关性。当2003年土壤含水量相对较高时,与OM,P和K的关系最大(分别为r = 0.55、0.50、0.53)。当土壤为Mollisol时,通过土壤序列的数据分离改善了EC_a与土壤化学属性之间的相关性。 ,但不适用于Alfisol。回归模型显示EC_a与变量显着相关,但EC_a无法检测到浓度变化,并解释了这些养分的变异性<7%。结果表明,EC_a在估计土壤化学性质或定义这些土壤中OM,P和K的可能管理区方面的作用有限。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号