Fine-resolution profile-scale data to depict the impact of tillage treatment and machine traffic on agricultural soil structure and hydrologic properties

Alice Alonso; Manuel Froidevaux; Mathieu Javaux; Eric Laloy; Samuel Mattern; Christian Roisin; Marnik Vanclooster; Charles Bielders

doi:10.1016/j.dib.2023.109759

Fine-resolution profile-scale data to depict the impact of tillage treatment and machine traffic on agricultural soil structure and hydrologic properties

Alice Alonso, Manuel Froidevaux, Mathieu Javaux, Eric Laloy, Samuel Mattern, Christian Roisin, Marnik Vanclooster, Charles Bielders

Engineered and Geosystems Analysis

Research output › peer-review

Abstract

This data article provides high spatial resolution (1 cm) datasets and related figures of the penetrometer resistance (PR) and soil bulk density (BD) data of nine agricultural 50 × 160 cm soil profiles exposed to three tillage treatments and including a wheel track. Soil treatments are moldboard plowing (MP), deep loosening (DL), and minimum tillage (MT). It also provides bulk density data, soil moisture content at various suctions and the parameters of van Genuchten's model for 27 soil cores, and saturated hydraulic conductivity (Ks) of 49 soil cores. Both sample sets were sampled to cover the profile heterogeneity in two agricultural plots subjected to moldboard plowing and minimum tillage. Examples of reuse potential include (i) the use of these spatially explicit data in studies seeking to understand better and integrate the effect of treatment and machine traffic-induced soil structure in soil hydraulic and soil physical quality, and (ii) the development of pedotransfer functions with data incorporating the soil structural heterogeneity. This Data in Brief article complements the companion paper by Alonso et al. (2021) “A hybrid method for characterizing tillage-induced soil physical quality at the profile scale with fine spatial detail” in Soil and Tillage Research [1].

Original language	English
Article number	109759
Number of pages	8
Journal	Data in Brief
Volume	51
DOIs	https://doi.org/10.1016/j.dib.2023.109759
State	Published - Dec 2023

ASJC Scopus subject areas

General

Access to Document

10.1016/j.dib.2023.109759

Cite this

@article{1eacd251e19249888ba6a8fa14e859ed,

title = "Fine-resolution profile-scale data to depict the impact of tillage treatment and machine traffic on agricultural soil structure and hydrologic properties",

abstract = "This data article provides high spatial resolution (1 cm) datasets and related figures of the penetrometer resistance (PR) and soil bulk density (BD) data of nine agricultural 50 × 160 cm soil profiles exposed to three tillage treatments and including a wheel track. Soil treatments are moldboard plowing (MP), deep loosening (DL), and minimum tillage (MT). It also provides bulk density data, soil moisture content at various suctions and the parameters of van Genuchten's model for 27 soil cores, and saturated hydraulic conductivity (Ks) of 49 soil cores. Both sample sets were sampled to cover the profile heterogeneity in two agricultural plots subjected to moldboard plowing and minimum tillage. Examples of reuse potential include (i) the use of these spatially explicit data in studies seeking to understand better and integrate the effect of treatment and machine traffic-induced soil structure in soil hydraulic and soil physical quality, and (ii) the development of pedotransfer functions with data incorporating the soil structural heterogeneity. This Data in Brief article complements the companion paper by Alonso et al. (2021) “A hybrid method for characterizing tillage-induced soil physical quality at the profile scale with fine spatial detail” in Soil and Tillage Research [1].",

keywords = "Agricultural soil tillage, Penetrometer, Soil heterogeneity, Soil hydraulic properties, Soil physical quality, Soil traffic",

author = "Alice Alonso and Manuel Froidevaux and Mathieu Javaux and Eric Laloy and Samuel Mattern and Christian Roisin and Marnik Vanclooster and Charles Bielders",

note = "Score=10 Funding Information: This project was funded by the Public Service of Wallonia, under the INFOSOLS subvention (project number D31-1176 S1 et D31-1213 S1). The authors thank Johan Verswijvel from the Walloon Agricultural Research centre for his support during field measurements, and the farmers who allowed to conduct experiments on their fields. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Publisher Copyright: {\textcopyright} 2023",

year = "2023",

month = dec,

doi = "10.1016/j.dib.2023.109759",

language = "English",

volume = "51",

journal = "Data in Brief",

issn = "2352-3409",

publisher = "Elsevier",

}

TY - JOUR

T1 - Fine-resolution profile-scale data to depict the impact of tillage treatment and machine traffic on agricultural soil structure and hydrologic properties

AU - Alonso, Alice

AU - Froidevaux, Manuel

AU - Javaux, Mathieu

AU - Laloy, Eric

AU - Mattern, Samuel

AU - Roisin, Christian

AU - Vanclooster, Marnik

AU - Bielders, Charles

N1 - Score=10 Funding Information: This project was funded by the Public Service of Wallonia, under the INFOSOLS subvention (project number D31-1176 S1 et D31-1213 S1). The authors thank Johan Verswijvel from the Walloon Agricultural Research centre for his support during field measurements, and the farmers who allowed to conduct experiments on their fields. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Publisher Copyright: © 2023

PY - 2023/12

Y1 - 2023/12

N2 - This data article provides high spatial resolution (1 cm) datasets and related figures of the penetrometer resistance (PR) and soil bulk density (BD) data of nine agricultural 50 × 160 cm soil profiles exposed to three tillage treatments and including a wheel track. Soil treatments are moldboard plowing (MP), deep loosening (DL), and minimum tillage (MT). It also provides bulk density data, soil moisture content at various suctions and the parameters of van Genuchten's model for 27 soil cores, and saturated hydraulic conductivity (Ks) of 49 soil cores. Both sample sets were sampled to cover the profile heterogeneity in two agricultural plots subjected to moldboard plowing and minimum tillage. Examples of reuse potential include (i) the use of these spatially explicit data in studies seeking to understand better and integrate the effect of treatment and machine traffic-induced soil structure in soil hydraulic and soil physical quality, and (ii) the development of pedotransfer functions with data incorporating the soil structural heterogeneity. This Data in Brief article complements the companion paper by Alonso et al. (2021) “A hybrid method for characterizing tillage-induced soil physical quality at the profile scale with fine spatial detail” in Soil and Tillage Research [1].

AB - This data article provides high spatial resolution (1 cm) datasets and related figures of the penetrometer resistance (PR) and soil bulk density (BD) data of nine agricultural 50 × 160 cm soil profiles exposed to three tillage treatments and including a wheel track. Soil treatments are moldboard plowing (MP), deep loosening (DL), and minimum tillage (MT). It also provides bulk density data, soil moisture content at various suctions and the parameters of van Genuchten's model for 27 soil cores, and saturated hydraulic conductivity (Ks) of 49 soil cores. Both sample sets were sampled to cover the profile heterogeneity in two agricultural plots subjected to moldboard plowing and minimum tillage. Examples of reuse potential include (i) the use of these spatially explicit data in studies seeking to understand better and integrate the effect of treatment and machine traffic-induced soil structure in soil hydraulic and soil physical quality, and (ii) the development of pedotransfer functions with data incorporating the soil structural heterogeneity. This Data in Brief article complements the companion paper by Alonso et al. (2021) “A hybrid method for characterizing tillage-induced soil physical quality at the profile scale with fine spatial detail” in Soil and Tillage Research [1].

KW - Agricultural soil tillage

KW - Penetrometer

KW - Soil heterogeneity

KW - Soil hydraulic properties

KW - Soil physical quality

KW - Soil traffic

UR - https://ecm.sckcen.be/OTCS/llisapi.dll/open/81357037

U2 - 10.1016/j.dib.2023.109759

DO - 10.1016/j.dib.2023.109759

M3 - Article

AN - SCOPUS:85177226366

SN - 2352-3409

VL - 51

JO - Data in Brief

JF - Data in Brief

M1 - 109759

ER -