Gaston Matias Mendoza Veirana, Hana Grison, Jeroen Verhegge, Wim Cornelis, Philippe De Smedt
{"title":"Exploring the link between cation exchange capacity and magnetic susceptibility","authors":"Gaston Matias Mendoza Veirana, Hana Grison, Jeroen Verhegge, Wim Cornelis, Philippe De Smedt","doi":"10.5194/egusphere-2024-3306","DOIUrl":null,"url":null,"abstract":"<strong>Abstract.</strong> This study explores the relationship between soil magnetic susceptibility (𝜅) and cation exchange capacity (𝐶𝐸𝐶) across diverse European soils, aiming to enhance pedotransfer functions (PTFs) for soil 𝐶𝐸𝐶 using near-surface electromagnetic geophysics. We hypothesize that soil 𝜅, can improve the prediction of 𝐶𝐸𝐶 by reflecting the soil’s mineralogical composition, particularly in sandy soils. We collected data from 49 soil samples in vertical profiles across Belgium, the Netherlands, and Serbia, including 𝜅 in field conditions (𝜅<sup>∗</sup>), low and high frequency 𝜅 in the laboratory, in-site electrical conductivity (𝜎), iron content, soil texture, humus content, bulk density, water content, water pH, and 𝐶𝐸𝐶. We used these properties as features to develop univariable and multivariable (in pairs) polynomial regressions to predict 𝐶𝐸𝐶 for sandy and clayey soils. Results indicate that 𝜅<sup>∗</sup> significantly improves 𝐶𝐸𝐶 predictions in sandy soils, independent of clay content, with a combined 𝜅<sup>∗ </sup>- 𝜎 model achieving the highest predictive performance (<em>R</em><sup>2</sup> = 0.94). In contrast, laboratory-measured 𝜅 was less effective, likely due to sample disturbance. This study presents a novel 𝐶𝐸𝐶 PTF based on 𝜎 and 𝜅<sup>∗</sup>, offering a rapid, cost-effective method for estimating 𝐶𝐸𝐶 in field conditions. While our findings underscore the value of integrating geophysical measurements into soil characterization, further research is needed to refine the 𝜅- 𝐶𝐸𝐶 relationship and develop a more widely applicable model.","PeriodicalId":48610,"journal":{"name":"Soil","volume":"36 1","pages":""},"PeriodicalIF":5.8000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soil","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.5194/egusphere-2024-3306","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOIL SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract. This study explores the relationship between soil magnetic susceptibility (𝜅) and cation exchange capacity (𝐶𝐸𝐶) across diverse European soils, aiming to enhance pedotransfer functions (PTFs) for soil 𝐶𝐸𝐶 using near-surface electromagnetic geophysics. We hypothesize that soil 𝜅, can improve the prediction of 𝐶𝐸𝐶 by reflecting the soil’s mineralogical composition, particularly in sandy soils. We collected data from 49 soil samples in vertical profiles across Belgium, the Netherlands, and Serbia, including 𝜅 in field conditions (𝜅∗), low and high frequency 𝜅 in the laboratory, in-site electrical conductivity (𝜎), iron content, soil texture, humus content, bulk density, water content, water pH, and 𝐶𝐸𝐶. We used these properties as features to develop univariable and multivariable (in pairs) polynomial regressions to predict 𝐶𝐸𝐶 for sandy and clayey soils. Results indicate that 𝜅∗ significantly improves 𝐶𝐸𝐶 predictions in sandy soils, independent of clay content, with a combined 𝜅∗ - 𝜎 model achieving the highest predictive performance (R2 = 0.94). In contrast, laboratory-measured 𝜅 was less effective, likely due to sample disturbance. This study presents a novel 𝐶𝐸𝐶 PTF based on 𝜎 and 𝜅∗, offering a rapid, cost-effective method for estimating 𝐶𝐸𝐶 in field conditions. While our findings underscore the value of integrating geophysical measurements into soil characterization, further research is needed to refine the 𝜅- 𝐶𝐸𝐶 relationship and develop a more widely applicable model.
SoilAgricultural and Biological Sciences-Soil Science
CiteScore
10.80
自引率
2.90%
发文量
44
审稿时长
30 weeks
期刊介绍:
SOIL is an international scientific journal dedicated to the publication and discussion of high-quality research in the field of soil system sciences.
SOIL is at the interface between the atmosphere, lithosphere, hydrosphere, and biosphere. SOIL publishes scientific research that contributes to understanding the soil system and its interaction with humans and the entire Earth system. The scope of the journal includes all topics that fall within the study of soil science as a discipline, with an emphasis on studies that integrate soil science with other sciences (hydrology, agronomy, socio-economics, health sciences, atmospheric sciences, etc.).