A new model framework for infield spatialization of traffic induced soil compaction

IF 6.8 1区农林科学 Q1 SOIL SCIENCE

Soil & Tillage Research Pub Date : 2025-07-31 DOI:10.1016/j.still.2025.106775

A. Calleja-Huerta, L.J. Munkholm, M. Lamandé

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引用次数: 0

Abstract

Commonly used decision support tools used for estimating soil compaction are often based on single-point soil characteristics and thus not able to capture traffic and soil spatial variability in the fields. The aim of this study is to present a model framework that combines spatialization of wheel tracks, traffic intensity, soil deformation and its consequences in key soil physical properties. We compared three machines with different wheel loads, tyre dimensions and axle widths and three different route plans with working widths of 3, 6, and 12 m over a mechanical weeding operation occurring in a 5 ha moist field (pF 2). The field consisted of two different soil types, loamy sand and sandy loam with high and low bulk density spots. To model the effects of traffic we used the empirical model for estimating topsoil deformation from Schjønning (2023). We also estimate risk of subsoil compaction from PTFs. From the spatialization of wheel tracks we were able to identify the different traffic intensities and number of wheel passes for each machinery configuration. By combining topsoil deformation with traffic intensities we were able to identify areas where degree of compactness and air-filled porosity was detrimental for crop growth, and gas diffusion and water-filled pore space indicated high risk of greenhouse gas emissions. This simple model framework has shown promising potential for future decision support tools for assessing the impacts of traffic or estimating the risk of soil compaction during agricultural operations.

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交通致土压实内场空间化的新模型框架

用于估算土壤压实度的常用决策支持工具通常基于单点土壤特征，因此无法捕捉田间交通和土壤空间变异性。本研究的目的是提出一个结合车轮轨迹空间化、交通强度、土壤变形及其对关键土壤物理性质影响的模型框架。我们比较了三种不同车轮载荷、轮胎尺寸和轴宽的机器，以及三种不同的路线规划，工作宽度分别为3,6和12 m，在5 ha的潮湿场地进行机械除草作业（pF 2）。土壤类型分为壤土和砂壤土两种，土壤中存在高、低容重斑点。为了模拟交通的影响，我们使用了Schjønning（2023）的经验模型来估计表土变形。我们还估计了PTFs对底土压实的风险。从车轮轨迹的空间化，我们能够确定不同的交通强度和车轮通过的数量为每个机械配置。通过将表土变形与交通强度相结合，我们能够确定密实度和充气孔隙度对作物生长有害的区域，气体扩散和充满水的孔隙空间表明温室气体排放的高风险。这一简单的模型框架显示了未来决策支持工具的潜力，可用于评估交通影响或估计农业作业期间土壤压实的风险。

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

Soil & Tillage Research 农林科学-土壤科学

CiteScore

13.00

自引率

6.20%

发文量

266

审稿时长

5 months

期刊介绍： Soil & Tillage Research examines the physical, chemical and biological changes in the soil caused by tillage and field traffic. Manuscripts will be considered on aspects of soil science, physics, technology, mechanization and applied engineering for a sustainable balance among productivity, environmental quality and profitability. The following are examples of suitable topics within the scope of the journal of Soil and Tillage Research: The agricultural and biosystems engineering associated with tillage (including no-tillage, reduced-tillage and direct drilling), irrigation and drainage, crops and crop rotations, fertilization, rehabilitation of mine spoils and processes used to modify soils. Soil change effects on establishment and yield of crops, growth of plants and roots, structure and erosion of soil, cycling of carbon and nutrients, greenhouse gas emissions, leaching, runoff and other processes that affect environmental quality. Characterization or modeling of tillage and field traffic responses, soil, climate, or topographic effects, soil deformation processes, tillage tools, traction devices, energy requirements, economics, surface and subsurface water quality effects, tillage effects on weed, pest and disease control, and their interactions.