Application of dexter’s soil physical quality index: An irish case study

O. Fenton, S. Vero, R.P.O. Schulte, L. O’sullivan, G. Bondi, R.E. Creamer

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)

Abstract

Historically, due to a lack of measured soil physical data, the quality of Irish soils was relatively unknown. Herein, we investigate the physical quality of the national representative profiles of Co. Waterford. To do this, the soil physical quality (SPQ) S-Index, as described by Dexter (2004a,b,c) using the S-theory (which seeks the inflection point of a soil water retention curve [SWRC]), is used. This can be determined using simple (S-Indirect) or complex (S-Direct) soil physical data streams. Both are achievable using existing data for the County Waterford profiles, but until now, the suitability of this S-Index for Irish soils has never been tested. Indirect-S provides a generic characterisation of SPQ for a particular soil horizon, using simplified and modelled information (e.g. texture and SWRC derived from pedo-transfer functions), whereas Direct-S provides more complex site-specific information (e.g. texture and SWRC measured in the laboratory), which relates to properties measured for that exact soil horizon. Results showed a significant correlation between S-Indirect (Si) and S-Direct (Sd). Therefore, the S-Index can be used in Irish soils and presents opportunities for the use of Si at the national scale. Outlier horizons contained >6% organic carbon (OC) and bulk density (Bd) values <1 g/cm3 and were not suitable for Si estimation. In addition, the S-Index did not perform well on excessively drained soils. Overall correlations of Si with Bd and of Si with OC% for the dataset were detected. Future work should extend this approach to the national scale dataset in the Irish Soil Information System.

Original languageEnglish
Pages (from-to)45-53
Number of pages9
JournalIrish Journal of Agricultural and Food Research
Volume56
Issue number1
DOIs
Publication statusPublished - 26 Aug 2017

Fingerprint

soil treatment
Soil
case studies
soil
soil water characteristic
water retention
soil water
soil horizons
soil horizon
bulk density
texture
Dexter
organic carbon
index
carbon
Water
information systems
Carbon
outlier
transfer function

Keywords

  • Agriculture
  • Soil
  • Soil physical quality
  • Soil quality
  • Soil structure

Cite this

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title = "Application of dexter’s soil physical quality index: An irish case study",
abstract = "Historically, due to a lack of measured soil physical data, the quality of Irish soils was relatively unknown. Herein, we investigate the physical quality of the national representative profiles of Co. Waterford. To do this, the soil physical quality (SPQ) S-Index, as described by Dexter (2004a,b,c) using the S-theory (which seeks the inflection point of a soil water retention curve [SWRC]), is used. This can be determined using simple (S-Indirect) or complex (S-Direct) soil physical data streams. Both are achievable using existing data for the County Waterford profiles, but until now, the suitability of this S-Index for Irish soils has never been tested. Indirect-S provides a generic characterisation of SPQ for a particular soil horizon, using simplified and modelled information (e.g. texture and SWRC derived from pedo-transfer functions), whereas Direct-S provides more complex site-specific information (e.g. texture and SWRC measured in the laboratory), which relates to properties measured for that exact soil horizon. Results showed a significant correlation between S-Indirect (Si) and S-Direct (Sd). Therefore, the S-Index can be used in Irish soils and presents opportunities for the use of Si at the national scale. Outlier horizons contained >6{\%} organic carbon (OC) and bulk density (Bd) values <1 g/cm3 and were not suitable for Si estimation. In addition, the S-Index did not perform well on excessively drained soils. Overall correlations of Si with Bd and of Si with OC{\%} for the dataset were detected. Future work should extend this approach to the national scale dataset in the Irish Soil Information System.",
keywords = "Agriculture, Soil, Soil physical quality, Soil quality, Soil structure",
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Application of dexter’s soil physical quality index: An irish case study. / Fenton, O.; Vero, S.; Schulte, R.P.O.; O’sullivan, L.; Bondi, G.; Creamer, R.E.

In: Irish Journal of Agricultural and Food Research, Vol. 56, No. 1, 26.08.2017, p. 45-53.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Application of dexter’s soil physical quality index: An irish case study

AU - Fenton, O.

AU - Vero, S.

AU - Schulte, R.P.O.

AU - O’sullivan, L.

AU - Bondi, G.

AU - Creamer, R.E.

PY - 2017/8/26

Y1 - 2017/8/26

N2 - Historically, due to a lack of measured soil physical data, the quality of Irish soils was relatively unknown. Herein, we investigate the physical quality of the national representative profiles of Co. Waterford. To do this, the soil physical quality (SPQ) S-Index, as described by Dexter (2004a,b,c) using the S-theory (which seeks the inflection point of a soil water retention curve [SWRC]), is used. This can be determined using simple (S-Indirect) or complex (S-Direct) soil physical data streams. Both are achievable using existing data for the County Waterford profiles, but until now, the suitability of this S-Index for Irish soils has never been tested. Indirect-S provides a generic characterisation of SPQ for a particular soil horizon, using simplified and modelled information (e.g. texture and SWRC derived from pedo-transfer functions), whereas Direct-S provides more complex site-specific information (e.g. texture and SWRC measured in the laboratory), which relates to properties measured for that exact soil horizon. Results showed a significant correlation between S-Indirect (Si) and S-Direct (Sd). Therefore, the S-Index can be used in Irish soils and presents opportunities for the use of Si at the national scale. Outlier horizons contained >6% organic carbon (OC) and bulk density (Bd) values <1 g/cm3 and were not suitable for Si estimation. In addition, the S-Index did not perform well on excessively drained soils. Overall correlations of Si with Bd and of Si with OC% for the dataset were detected. Future work should extend this approach to the national scale dataset in the Irish Soil Information System.

AB - Historically, due to a lack of measured soil physical data, the quality of Irish soils was relatively unknown. Herein, we investigate the physical quality of the national representative profiles of Co. Waterford. To do this, the soil physical quality (SPQ) S-Index, as described by Dexter (2004a,b,c) using the S-theory (which seeks the inflection point of a soil water retention curve [SWRC]), is used. This can be determined using simple (S-Indirect) or complex (S-Direct) soil physical data streams. Both are achievable using existing data for the County Waterford profiles, but until now, the suitability of this S-Index for Irish soils has never been tested. Indirect-S provides a generic characterisation of SPQ for a particular soil horizon, using simplified and modelled information (e.g. texture and SWRC derived from pedo-transfer functions), whereas Direct-S provides more complex site-specific information (e.g. texture and SWRC measured in the laboratory), which relates to properties measured for that exact soil horizon. Results showed a significant correlation between S-Indirect (Si) and S-Direct (Sd). Therefore, the S-Index can be used in Irish soils and presents opportunities for the use of Si at the national scale. Outlier horizons contained >6% organic carbon (OC) and bulk density (Bd) values <1 g/cm3 and were not suitable for Si estimation. In addition, the S-Index did not perform well on excessively drained soils. Overall correlations of Si with Bd and of Si with OC% for the dataset were detected. Future work should extend this approach to the national scale dataset in the Irish Soil Information System.

KW - Agriculture

KW - Soil

KW - Soil physical quality

KW - Soil quality

KW - Soil structure

U2 - 10.1515/ijafr-2017-0005

DO - 10.1515/ijafr-2017-0005

M3 - Article

VL - 56

SP - 45

EP - 53

JO - Irish Journal of Agricultural and Food Research

JF - Irish Journal of Agricultural and Food Research

SN - 0791-6833

IS - 1

ER -