Study of spatial relationships among some soil physico-chemical properties of a field in central Italy using multivariate geostatistics
Study of spatial relationships among some soil physico-chemical properties of a field in central Italy using multivariate geostatistics
复制标题
DOI：
10.1016/s0016-7061(00)00025-2
复制
发表时间：
2000-08-01
期刊：
影响因子：
6.1
通讯作者：
Martinelli, N
中科院分区：
文献类型：
--
作者：
Castrignanò, A;Giugliarini, L;Martinelli, N
田间土壤变异性是由复杂的地质和土壤学过程引起的，因此土壤变量预计将以尺度依赖的方式相互关联。考虑到土壤和空间变异性，准确的土壤特性将使农民能够遵循适合真实的土壤情况的作物管理做法。利用Matheron提出的因子克立格分析方法（FKA）研究了一些变量的尺度相关结构。该分析包括：协区域化建模、变量间相关结构分析、区域化因子的估计与映射。本研究在位于意大利中部的4公顷农田中进行。在0-10和10-30 cm深度采集土壤样品，然后分析pH、阳离子交换量、全氮、Olsen磷、交换性钾和钠。分析结果提交给不同类型的分析：经典的统计和地统计学分析表明，植物宏量和微量营养元素来自施肥导致短期变化，特别是在钠，氮，CEC。这些影响叠加在长期过程上，产生了土壤肥力的系统模式。(C)2000 Elsevier Science B. V.保留所有权利。
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: modeling of the coregionalization, 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. Soil samples were collected at 0-10 and 10-30 cm depth and were then analysed for pH, (cation exchange capacity) CEC, total N, Olsen P, exchangeable K, and Na. The analytical results were submitted to different kinds of analysis: 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. (C) 2000 Elsevier Science B.V. All rights reserved.