Fundamentação teórica dos sistemas de amostragem de solo de acordo com a variabilidade de características químicas.

IF 0.3 Q4 AGRONOMY
M. AndréGuarçoni, V. Alvarez, Fabrício Moreira Sobreira
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引用次数: 5

Abstract

Due to high variability of chemical characteristics, soil sampling is one of the major sources of error in a correction and fertilization program. This critical review aimed to analyze the theoretical foundations that define the soil sampling types used for different cropping systems, assessing the degree of influence of variations in chemical characteristics conferred by each situation. Confronting information from the studies reviewed, we determined that the range of spatial dependence of soil chemical properties is dependent on the distance between previous sampling points. Land stratification in sampling units reduces the occurrence of spatial dependence caused by environmental factors associated with long-distance variations (macro-dependence), but does not prevent the occurrence of spatial dependence at short distances in positions within the stratum itself (meso-dependence). The option to use composite sample analysis from homogeneous field (average fertility) or the soil fertility maps for recommendation of lime and fertilizer, is primarily due to economic issues. The collection of single samples of small volume to calculate local averages, or the formation of composite samples from these “single samples” tends to increase the effectiveness and reliability of fertility maps.
根据化学特性变异性的土壤取样系统的理论基础。
由于化学特性的高度可变性,土壤取样是校正和施肥计划中误差的主要来源之一。这篇重要的综述旨在分析定义不同种植制度所使用的土壤取样类型的理论基础,评估每种情况所赋予的化学特征变化的影响程度。面对研究回顾的信息,我们确定土壤化学性质的空间依赖范围取决于以前采样点之间的距离。采样单位的土地分层减少了与长距离变化相关的环境因素引起的空间依赖性(宏观依赖性),但不能防止地层本身位置短距离上的空间依赖性(中观依赖性)的发生。选择使用同质田的复合样本分析(平均肥力)或土壤肥力图来推荐石灰和肥料,主要是由于经济问题。收集小体积的单一样本来计算当地平均值,或从这些“单一样本”中形成复合样本,往往会提高生育率图的有效性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Terra Latinoamericana
Terra Latinoamericana Environmental Science-Ecology
CiteScore
1.10
自引率
0.00%
发文量
49
审稿时长
16 weeks
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