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Mapping Soil Texture Using Geostatistical Interpolation Combined With Electromagnetic Induction Measurements
Soil Science Pub Date : 2018-08-01 , DOI: 10.1097/ss.0000000000000213
Aitor García-Tomillo , José Manuel Mirás-Avalos , Jorge Dafonte-Dafonte , Antonio Paz-González

ABSTRACT Soil texture influences many physical and chemical properties that affect fertility and productivity. Assessing the spatial distribution of soil texture is necessary to implement management practices that avoid soil degradation. The objective of this study was to evaluate the usefulness of soil's apparent electrical conductivity (ECa), as measured by electromagnetic induction, to improve the spatial estimation of soil texture. The study was carried out in a 10-ha prairie in NW Spain. The ECa measurements were used to design a sampling scheme of 80 locations, where soil samples were collected from 0- to 20-cm depth and from 20-cm depth to the boundary of the A horizon. Clay, silt, and sand contents were determined at both depths and then were weighted for the entire A horizon. Clay, silt, and sand contents were significantly correlated with ECa (r = 0.48, r = 0.24, r = −0.36, respectively; P < 0.05). Therefore, ECa was used as a secondary variable to interpolate texture maps through regression kriging. Soil texture and ECa showed a strong spatial dependence, and ECa and soil texture maps presented similar spatial distribution patterns. The ECa measurements were useful to design an appropriate sampling strategy, which captured the distribution of soil texture in the studied field. The information provided by the predictive maps is helpful in implementing sustainable soil management practices.

中文翻译:

使用地统计插值法结合电磁感应测量绘制土壤质地图

摘要 土壤质地会影响许多影响肥力和生产力的物理和化学特性。评估土壤质地的空间分布对于实施避免土壤退化的管理实践是必要的。本研究的目的是评估通过电磁感应测量的土壤表观电导率 (ECa) 的有用性,以改善土壤质地的空间估计。该研究是在西班牙西北部一个 10 公顷的草原上进行的。ECa 测量值用于设计 80 个位置的采样方案,从 0 到 20 厘米深度和从 20 厘米深度到 A 层边界收集土壤样品。粘土、淤泥和沙子含量在两个深度都被确定,然后对整个 A 层级进行加权。粘土、淤泥、和含砂量与 ECa 显着相关(分别为 r = 0.48、r = 0.24、r = -0.36;P < 0.05)。因此,ECa 被用作辅助变量,通过回归克里金法对纹理贴图进行插值。土壤质地和ECa表现出强烈的空间依赖性,ECa和土壤质地图呈现相似的空间分布模式。ECa 测量值有助于设计适当的采样策略,该策略捕获研究领域中土壤质地的分布。预测地图提供的信息有助于实施可持续的土壤管理实践。ECa 和土壤质地图呈现出相似的空间分布模式。ECa 测量值有助于设计适当的采样策略,从而捕获所研究田地中土壤质地的分布。预测地图提供的信息有助于实施可持续的土壤管理实践。ECa 和土壤质地图呈现出相似的空间分布模式。ECa 测量值有助于设计适当的采样策略,从而捕获所研究田地中土壤质地的分布。预测地图提供的信息有助于实施可持续的土壤管理实践。
更新日期:2018-08-01
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