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首页> 外文期刊>Geoderma: An International Journal of Soil Science >Study of spatial relationships among some soil physico-chemical properties of a field in central Italy using multivariate geostatistics.
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Study of spatial relationships among some soil physico-chemical properties of a field in central Italy using multivariate geostatistics.

机译：利用多元地统计方法研究意大利中部某地的某些土壤理化性质之间的空间关系。

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摘要

Soil variability within fields results from complex geological and pedological processes, therefore soil variables are expected to be correlated in a scale dependent way. An accurate soil characterization, taking into account soil and spatial variability, will allow the farmer to follow crop management practices fitted with the real soil situation. The study of the scale-dependent correlation structure of some variables was investigated by means of Factorial Kriging Analysis (FKA) developed by Matheron. This analysis consists: modelling of the co-regionalization, analysing the correlation structure between the variables, estimating and mapping the regionalized factors. The present study was conducted in a 4-ha field located in central Italy. Soilsamples were collected at 0-10 and 10-30 cm depth and were then analysed for pH, CEC (cation exchange capacity), total N, Olsen P, exchangeable K, and Na. The analytical results were submitted to classical statistical and geostatistical analysis which showed that plant macro- and micro-nutrients coming from fertilization had led to short-range variation, especially in Na, N, and CEC. The effects of these were superimposed on long-range processes, producing systematic patterns in soil fertility.
机译：田间土壤的变异性是由复杂的地质和土壤学过程造成的，因此，土壤变量有望以比例依赖的方式相互关联。考虑到土壤和空间变异性，对土壤进行准确的定性将使农民能够遵循适合实际土壤情况的作物管理实践。通过Matheron开发的因子Kriging分析（FKA），研究了一些变量的比例相关结构的研究。该分析包括：共区域化建模，分析变量之间的相关结构，估计和映射区域化因素。本研究是在意大利中部一个4公顷的田里进行的。在0-10和10-30 cm深度处收集土壤样品，然后分析其pH，CEC（阳离子交换容量），总氮，奥尔森磷，可交换钾和钠。分析结果提交给经典的统计和地统计学分析，结果表明，施肥产生的植物大量和微量营养素导致了短期变化，尤其是在Na，N和CEC中。这些影响叠加在远程过程上，在土壤肥力方面产生了系统模式。

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