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Spatial patterns of magnetic susceptibility optimized by anisotropic correction in different Alisols in southern Amazonas, Brazil
Precision Agriculture ( IF 5.4 ) Pub Date : 2021-08-28 , DOI: 10.1007/s11119-021-09843-6
Wildson Benedito Mendes Brito 1 , José Maurício da Cunha 1 , Alan Ferreira Leite de Lima 1 , Thalita Silva Martins 1 , Milton César Costa Campos 2 , Fernando Gomes de Souza 3 , Laércio Santos Silva 4 , Flávio Pereira de Oliveira 5 , Ivanildo Amorim de Oliveira 6
Affiliation  

Changes in primary cover for agricultural crops in Amazonas region influence the phenomenon of spatial variability in soil properties. This phenomenon is still studied assuming that the spatial data is isotropic, but does not consider the anisotropic pattern of soil properties. Thus, the aim of this work was to characterize, identify and correct isotropic patterns of magnetic susceptibility (MS) measurements using anisotropic models that actually represent the spatial aspects of the data. Three cultivation areas and one under native forest, classified as Haplic Alisol, were georeferenced and sampled by a mesh system covering 192 samples per area. Texture, X-ray diffraction and frequency-dependent (χfd) and mass-specific (χlf and χhf) magnetic susceptibility analyzes were performed. Then, classical and geostatistical analyzes were applied to the data, assuming isotropy and anisotropy. All χ frequencies were shown to be spatially dependent, satisfying the isotropy hypothesis. Thereby, the application of anisotropic analysis was able to confirm the presence of all types of anisotropy in Alisols. Anisotropic correction provided an improvement in models that fit the directional trends within the areas, and provided a reduction in the nugget effect and an increase in the correlation ranges. Thus, the generated kriging maps improved the patches of zonal trends of greater or lesser χ that stand out at the level of sub-regions. These zones should, therefore, be used as indicators of variability, paying special attention during their management, especially in research related to the delimitation of specific management zones.



中文翻译:

通过各向异性校正优化巴西亚马孙南部不同 Alisols 的磁化率空间模式

亚马逊地区农作物初级覆盖的变化会影响土壤特性的空间变异现象。假设空间数据是各向同性的,但不考虑土壤特性的各向异性模式,这种现象仍在研究中。因此,这项工作的目的是使用实际代表数据空间方面的各向异性模型来表征、识别和校正磁化率 (MS) 测量的各向同性模式。三个种植区和一个在原生林下,归类为 Haplilic Alisol,通过覆盖每个区域 192 个样本的网格系统进行地理参考和采样。纹理、X 射线衍射和频率相关 (χ fd ) 和质量特异性 (χ lf和 χ hf) 进行了磁化率分析。然后,假设各向同性和各向异性,对数据应用经典和地质统计学分析。所有 χ 频率都显示出空间相关性,满足各向同性假设。因此,各向异性分析的应用能够证实 Alisols 中所有类型的各向异性的存在。各向异性校正改进了适合区域内方向趋势的模型,并减少了金块效应并增加了相关范围。因此,生成的克里金图改善了在子区域水平上突出的或多或少 χ 的带状趋势斑块。因此,应将这些区域用作可变性指标,在管理过程中要特别注意,

更新日期:2021-08-29
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