Alain N. Choullin , Francis B.T. Silatsa , Etienne Mboua , Martin Jemo , Georges M. Ndzana , Dieudonne Bitondo
{"title":"利用土壤结构视觉评价(VESS)评价喀麦隆西部高地土壤物理退化","authors":"Alain N. Choullin , Francis B.T. Silatsa , Etienne Mboua , Martin Jemo , Georges M. Ndzana , Dieudonne Bitondo","doi":"10.1016/j.still.2025.106881","DOIUrl":null,"url":null,"abstract":"<div><div>Identifying key soil physical indicators is crucial for strengthening efforts to conserve fragile ecosystems and ensure food security. This study investigates the effects of land use, topographic position, and soil texture on the variation of physical soil indicators in the highland of Cameroon. The Visual Evaluation of Soil Structure (VESS) was the primary proxy for assessing structural soil quality. A stratified nested random sampling design was used to sample soils across land use types, specifically the forest (FS), Agroforestry systems (AGF), natural fallow (FLW), Eucalyptus fields (ECP), Crop fields (CRL), and Grazing land (GRL). We found that many soil's physical indicators differed based on land use and textural classes, as did the soil structure, with FS and AGF showing the best values, whilst GRL, CRL, and ECP exhibited the lowest. A deviation of about 50 % emerged between the FS reference and many other land uses for many soil indicators, witnessing a high soil structural swing in the landscape. However, the topographic position did not show a significant variability (<em>p</em> > 0.05) of any soil physical indicators, implying that soil variability is mainly anthropogenic. The soil physical quality index (SQI) sequence for land use is FS > AGF > CRL > FLW > ECP > GRL, with the highest value (0.56) in FS and the lowest in GRL (0.34). The SQI and VESS Scores are strongly and negatively related. The VESS method can serve as a valuable tool for quickly assessing physical land degradation conditions, monitoring soil degradation, and providing decision support in highland agroecosystems.</div></div>","PeriodicalId":49503,"journal":{"name":"Soil & Tillage Research","volume":"256 ","pages":"Article 106881"},"PeriodicalIF":6.8000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Appraising soil physical degradation using the Visual Evaluation of Soil Structure (VESS) in the Western Highlands, Cameroon\",\"authors\":\"Alain N. Choullin , Francis B.T. Silatsa , Etienne Mboua , Martin Jemo , Georges M. Ndzana , Dieudonne Bitondo\",\"doi\":\"10.1016/j.still.2025.106881\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Identifying key soil physical indicators is crucial for strengthening efforts to conserve fragile ecosystems and ensure food security. This study investigates the effects of land use, topographic position, and soil texture on the variation of physical soil indicators in the highland of Cameroon. The Visual Evaluation of Soil Structure (VESS) was the primary proxy for assessing structural soil quality. A stratified nested random sampling design was used to sample soils across land use types, specifically the forest (FS), Agroforestry systems (AGF), natural fallow (FLW), Eucalyptus fields (ECP), Crop fields (CRL), and Grazing land (GRL). We found that many soil's physical indicators differed based on land use and textural classes, as did the soil structure, with FS and AGF showing the best values, whilst GRL, CRL, and ECP exhibited the lowest. A deviation of about 50 % emerged between the FS reference and many other land uses for many soil indicators, witnessing a high soil structural swing in the landscape. However, the topographic position did not show a significant variability (<em>p</em> > 0.05) of any soil physical indicators, implying that soil variability is mainly anthropogenic. The soil physical quality index (SQI) sequence for land use is FS > AGF > CRL > FLW > ECP > GRL, with the highest value (0.56) in FS and the lowest in GRL (0.34). The SQI and VESS Scores are strongly and negatively related. The VESS method can serve as a valuable tool for quickly assessing physical land degradation conditions, monitoring soil degradation, and providing decision support in highland agroecosystems.</div></div>\",\"PeriodicalId\":49503,\"journal\":{\"name\":\"Soil & Tillage Research\",\"volume\":\"256 \",\"pages\":\"Article 106881\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-09-25\",\"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/S0167198725004350\",\"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/S0167198725004350","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}
Appraising soil physical degradation using the Visual Evaluation of Soil Structure (VESS) in the Western Highlands, Cameroon
Identifying key soil physical indicators is crucial for strengthening efforts to conserve fragile ecosystems and ensure food security. This study investigates the effects of land use, topographic position, and soil texture on the variation of physical soil indicators in the highland of Cameroon. The Visual Evaluation of Soil Structure (VESS) was the primary proxy for assessing structural soil quality. A stratified nested random sampling design was used to sample soils across land use types, specifically the forest (FS), Agroforestry systems (AGF), natural fallow (FLW), Eucalyptus fields (ECP), Crop fields (CRL), and Grazing land (GRL). We found that many soil's physical indicators differed based on land use and textural classes, as did the soil structure, with FS and AGF showing the best values, whilst GRL, CRL, and ECP exhibited the lowest. A deviation of about 50 % emerged between the FS reference and many other land uses for many soil indicators, witnessing a high soil structural swing in the landscape. However, the topographic position did not show a significant variability (p > 0.05) of any soil physical indicators, implying that soil variability is mainly anthropogenic. The soil physical quality index (SQI) sequence for land use is FS > AGF > CRL > FLW > ECP > GRL, with the highest value (0.56) in FS and the lowest in GRL (0.34). The SQI and VESS Scores are strongly and negatively related. The VESS method can serve as a valuable tool for quickly assessing physical land degradation conditions, monitoring soil degradation, and providing decision support in highland agroecosystems.
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.