一种廉价和简单的方法来演示土壤水分和养分流动

K. A. Nichols, S. Samson-Liebig
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摘要

土壤质量、土壤健康和土壤可持续性是被广泛使用的概念,但很难定义和说明,特别是对非技术观众。本文的目的是开发简单而廉价的方法来定性和定量地估计水入渗速率(IR)、饱和持水量(WHCs)和潜在的硝酸盐氮(NO3-N)损失,并测试这些方法的准确性和精密度。提供了如何组装适当的供应和进行测量的完整细节,但出于演示目的,不需要详细遵循这些方法,特别是使用各种方程来获得定量值。在实地和课堂上,这些示范深受非技术和技术观众的欢迎,并应要求进行示范,并被纳入高中和大学学生的农学课程以及农业教育工作者的培训。在实验室中,对10种基准土进行了试验,并进行了数值比较,并通过干土团聚体分布和水稳定性测量了土壤团聚体。在这些基准土壤中,IR和WHCs随着不同作物轮作和多年生植物覆盖的增加和土壤干扰的减少而增加,而NO3-N损失在合成肥料投入、植物覆盖少和土壤干扰多的土壤中最高。这些结果表明,这里概述的方法可用于证明农业生态系统管理对土壤健康的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Inexpensive and Simple Method to Demonstrate Soil Water and Nutrient Flow

Soil quality, soil health, and soil sustainability are concepts that are being widely used but are difficult to define and illustrate, especially to a non-technical audience. The objectives of this manuscript were to develop simple and inexpensive methodologies to both qualitatively and quantitatively estimate water infiltration rates (IR), water-holding capacity at saturation (WHCs), and potential nitrate-nitrogen (NO3–N) loss and to test the accuracy and precision of these methods. Complete details for how to assemble the appropriate supplies and conduct the measurements are provided, but for demonstrative purposes these methods do not need to be followed in detail, particularly using the various equations to get quantitative values. In the field and classroom, these demonstrations have been well received by non-technical and technical audiences and have been performed by request as well as incorporated into agronomy classes for high school and college students and training for agriculture educators. In the laboratory, these methods were tested on 10 benchmark soils and values were compared with each other and soil aggregation as measured by dry soil aggregate distribution and water stability. In these benchmark soils, IR and WHCs increased with a reduction in soil disturbance and more continuous plant cover due to diverse crop rotation and perennials while NO3–N loss was highest in soils with synthetic fertilizer inputs, little plant cover, and more soil disturbance. These results indicate the methodologies outlined here may be used to demonstrate agroecosystem management's impact on soil health.

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