{"title":"利用土壤形态描述符评价魁北克土壤结构","authors":"Eduardo Chavez Benalcazar , Marc-Olivier Gasser , Jacynthe Dessureault-Rompré , Gi-Mick Wu , Jean-Benoît Mathieu , Catherine Bossé","doi":"10.1016/j.still.2025.106812","DOIUrl":null,"url":null,"abstract":"<div><div>Soil structure is a key factor influencing numerous processes in soil which is not commonly measured but can be assessed in the field using different manual/visual methods. The aim of this work was to develop a visual method based on standardized pedomorphological descriptors which offer a better framework than soil attributes used in the popular VESS technique and to validate its use under Quebec agricultural conditions. The Soil Structure Assessment using Pedomorphological Descriptors (SSAPD) method was developed using data collected from a large-scale soil health inventory and a panel of soil experts to assign rates and weights to pedomorphological descriptors and to calculate a score. The scores produced by SSAPD showed a good relationship with VESS. SSAPD was also able to discriminate between cultivated and control soils with better soil physical condition. Pearson’s correlations were generally weak across all textural groups and horizons; however, a few moderate correlations were observed with expected trends in the Ap horizon. Generalized additive mixed model (GAMM) were used to analyze the relationship between SSAPD and soil properties. The fitted models revealed non-linear relationships between SSAPD and most of the analyzed soil properties across different textural groups specially for clayey and loamy soils. SSAPD’s scoring methodology, based on pedological descriptors and a system of ratings and weights, offers broad potential for calibration and fine-tuning across various parent materials, soil textures, and depths.</div></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"256 ","pages":"Article 106812"},"PeriodicalIF":6.8000,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Soil structure assessment using pedomorphological descriptors – SSAPD in Quebec\",\"authors\":\"Eduardo Chavez Benalcazar , Marc-Olivier Gasser , Jacynthe Dessureault-Rompré , Gi-Mick Wu , Jean-Benoît Mathieu , Catherine Bossé\",\"doi\":\"10.1016/j.still.2025.106812\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Soil structure is a key factor influencing numerous processes in soil which is not commonly measured but can be assessed in the field using different manual/visual methods. The aim of this work was to develop a visual method based on standardized pedomorphological descriptors which offer a better framework than soil attributes used in the popular VESS technique and to validate its use under Quebec agricultural conditions. The Soil Structure Assessment using Pedomorphological Descriptors (SSAPD) method was developed using data collected from a large-scale soil health inventory and a panel of soil experts to assign rates and weights to pedomorphological descriptors and to calculate a score. The scores produced by SSAPD showed a good relationship with VESS. SSAPD was also able to discriminate between cultivated and control soils with better soil physical condition. Pearson’s correlations were generally weak across all textural groups and horizons; however, a few moderate correlations were observed with expected trends in the Ap horizon. Generalized additive mixed model (GAMM) were used to analyze the relationship between SSAPD and soil properties. The fitted models revealed non-linear relationships between SSAPD and most of the analyzed soil properties across different textural groups specially for clayey and loamy soils. SSAPD’s scoring methodology, based on pedological descriptors and a system of ratings and weights, offers broad potential for calibration and fine-tuning across various parent materials, soil textures, and depths.</div></div>\",\"PeriodicalId\":49503,\"journal\":{\"name\":\"Soil & Tillage Research\",\"volume\":\"256 \",\"pages\":\"Article 106812\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soil & Tillage Research\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167198725003666\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"SOIL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soil & Tillage Research","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167198725003666","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
Soil structure assessment using pedomorphological descriptors – SSAPD in Quebec
Soil structure is a key factor influencing numerous processes in soil which is not commonly measured but can be assessed in the field using different manual/visual methods. The aim of this work was to develop a visual method based on standardized pedomorphological descriptors which offer a better framework than soil attributes used in the popular VESS technique and to validate its use under Quebec agricultural conditions. The Soil Structure Assessment using Pedomorphological Descriptors (SSAPD) method was developed using data collected from a large-scale soil health inventory and a panel of soil experts to assign rates and weights to pedomorphological descriptors and to calculate a score. The scores produced by SSAPD showed a good relationship with VESS. SSAPD was also able to discriminate between cultivated and control soils with better soil physical condition. Pearson’s correlations were generally weak across all textural groups and horizons; however, a few moderate correlations were observed with expected trends in the Ap horizon. Generalized additive mixed model (GAMM) were used to analyze the relationship between SSAPD and soil properties. The fitted models revealed non-linear relationships between SSAPD and most of the analyzed soil properties across different textural groups specially for clayey and loamy soils. SSAPD’s scoring methodology, based on pedological descriptors and a system of ratings and weights, offers broad potential for calibration and fine-tuning across various parent materials, soil textures, and depths.
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.