Integrating soil quality changes to arable agricultural systems following organic matter addition, or adoption of a ley-arable rotation

B. S. Griffiths*, B. C. Ball, T. J. Daniell, P. D. Hallett, R. Neilson, R. E. Wheatley, G. Osler, M. Bohanec

*Corresponding author for this work

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

To study the sustainability of arable agricultural systems we examined a wide range of biological, physical and chemical properties associated with changes in soil quality. We integrated these using a qualitative multi-attribute model supported by the software tool DEXi to achieve a holistic estimation of soil quality. We tested the relative changes in soil quality attributes resulting from the incorporation of cattle slurry or green-waste compost, or from including a ley phase in the production of arable crops. We measured: abundances and biodiversity of the soil biota, physical properties and nutrient concentrations: twice in 2006 and thrice in 2007. These data were used to generate a model of soil quality, which showed that the addition of organic matter or a ley phase did increase soil quality. However, to fully understand the soil system results should be derived from a number of functionally related observations as there were opposing trends in individual observations. Increases in some beneficial attributes (such as decomposition, soil nutrient status and physical condition) were associated with an increased risk of nutrient losses from leaching and gaseous emissions. Assessing soil quality with only a few indicators may not identify these trade-offs. The multi-attribute modelling approach could identify the pathways responsible for changes in soil quality and identify possible environmentally detrimental effects. (C) 2010 Elsevier B.V. All rights reserved.

Original languageEnglish
Pages (from-to)43-53
Number of pages11
JournalApplied Soil Ecology
Volume46
Issue number1
DOIs
Publication statusPublished - Sep 2010

Keywords

  • compost
  • carbon
  • slurry
  • multi-attribute model
  • biodiversity
  • nitrogen
  • resilience
  • nutrient
  • soil quality
  • multiattribute model
  • soil function
  • nitrification
  • crop
  • rotation
  • sustainability
  • bacterial

Cite this

Integrating soil quality changes to arable agricultural systems following organic matter addition, or adoption of a ley-arable rotation. / Griffiths, B. S.; Ball, B. C.; Daniell, T. J.; Hallett, P. D.; Neilson, R.; Wheatley, R. E.; Osler, G.; Bohanec, M.

In: Applied Soil Ecology, Vol. 46, No. 1, 09.2010, p. 43-53.

Research output: Contribution to journalArticle

Griffiths, B. S. ; Ball, B. C. ; Daniell, T. J. ; Hallett, P. D. ; Neilson, R. ; Wheatley, R. E. ; Osler, G. ; Bohanec, M. / Integrating soil quality changes to arable agricultural systems following organic matter addition, or adoption of a ley-arable rotation. In: Applied Soil Ecology. 2010 ; Vol. 46, No. 1. pp. 43-53.
@article{15455237f11f45168dc06b36ab101e2c,
title = "Integrating soil quality changes to arable agricultural systems following organic matter addition, or adoption of a ley-arable rotation",
abstract = "To study the sustainability of arable agricultural systems we examined a wide range of biological, physical and chemical properties associated with changes in soil quality. We integrated these using a qualitative multi-attribute model supported by the software tool DEXi to achieve a holistic estimation of soil quality. We tested the relative changes in soil quality attributes resulting from the incorporation of cattle slurry or green-waste compost, or from including a ley phase in the production of arable crops. We measured: abundances and biodiversity of the soil biota, physical properties and nutrient concentrations: twice in 2006 and thrice in 2007. These data were used to generate a model of soil quality, which showed that the addition of organic matter or a ley phase did increase soil quality. However, to fully understand the soil system results should be derived from a number of functionally related observations as there were opposing trends in individual observations. Increases in some beneficial attributes (such as decomposition, soil nutrient status and physical condition) were associated with an increased risk of nutrient losses from leaching and gaseous emissions. Assessing soil quality with only a few indicators may not identify these trade-offs. The multi-attribute modelling approach could identify the pathways responsible for changes in soil quality and identify possible environmentally detrimental effects. (C) 2010 Elsevier B.V. All rights reserved.",
keywords = "compost, carbon, slurry, multi-attribute model, biodiversity, nitrogen, resilience, nutrient, soil quality, multiattribute model, soil function, nitrification, crop, rotation, sustainability, bacterial",
author = "Griffiths, {B. S.} and Ball, {B. C.} and Daniell, {T. J.} and Hallett, {P. D.} and R. Neilson and Wheatley, {R. E.} and G. Osler and M. Bohanec",
year = "2010",
month = "9",
doi = "10.1016/j.apsoil.2010.06.012",
language = "English",
volume = "46",
pages = "43--53",
journal = "Applied Soil Ecology",
issn = "0929-1393",
publisher = "Elsevier Science B. V.",
number = "1",

}

TY - JOUR

T1 - Integrating soil quality changes to arable agricultural systems following organic matter addition, or adoption of a ley-arable rotation

AU - Griffiths, B. S.

AU - Ball, B. C.

AU - Daniell, T. J.

AU - Hallett, P. D.

AU - Neilson, R.

AU - Wheatley, R. E.

AU - Osler, G.

AU - Bohanec, M.

PY - 2010/9

Y1 - 2010/9

N2 - To study the sustainability of arable agricultural systems we examined a wide range of biological, physical and chemical properties associated with changes in soil quality. We integrated these using a qualitative multi-attribute model supported by the software tool DEXi to achieve a holistic estimation of soil quality. We tested the relative changes in soil quality attributes resulting from the incorporation of cattle slurry or green-waste compost, or from including a ley phase in the production of arable crops. We measured: abundances and biodiversity of the soil biota, physical properties and nutrient concentrations: twice in 2006 and thrice in 2007. These data were used to generate a model of soil quality, which showed that the addition of organic matter or a ley phase did increase soil quality. However, to fully understand the soil system results should be derived from a number of functionally related observations as there were opposing trends in individual observations. Increases in some beneficial attributes (such as decomposition, soil nutrient status and physical condition) were associated with an increased risk of nutrient losses from leaching and gaseous emissions. Assessing soil quality with only a few indicators may not identify these trade-offs. The multi-attribute modelling approach could identify the pathways responsible for changes in soil quality and identify possible environmentally detrimental effects. (C) 2010 Elsevier B.V. All rights reserved.

AB - To study the sustainability of arable agricultural systems we examined a wide range of biological, physical and chemical properties associated with changes in soil quality. We integrated these using a qualitative multi-attribute model supported by the software tool DEXi to achieve a holistic estimation of soil quality. We tested the relative changes in soil quality attributes resulting from the incorporation of cattle slurry or green-waste compost, or from including a ley phase in the production of arable crops. We measured: abundances and biodiversity of the soil biota, physical properties and nutrient concentrations: twice in 2006 and thrice in 2007. These data were used to generate a model of soil quality, which showed that the addition of organic matter or a ley phase did increase soil quality. However, to fully understand the soil system results should be derived from a number of functionally related observations as there were opposing trends in individual observations. Increases in some beneficial attributes (such as decomposition, soil nutrient status and physical condition) were associated with an increased risk of nutrient losses from leaching and gaseous emissions. Assessing soil quality with only a few indicators may not identify these trade-offs. The multi-attribute modelling approach could identify the pathways responsible for changes in soil quality and identify possible environmentally detrimental effects. (C) 2010 Elsevier B.V. All rights reserved.

KW - compost

KW - carbon

KW - slurry

KW - multi-attribute model

KW - biodiversity

KW - nitrogen

KW - resilience

KW - nutrient

KW - soil quality

KW - multiattribute model

KW - soil function

KW - nitrification

KW - crop

KW - rotation

KW - sustainability

KW - bacterial

U2 - 10.1016/j.apsoil.2010.06.012

DO - 10.1016/j.apsoil.2010.06.012

M3 - Article

VL - 46

SP - 43

EP - 53

JO - Applied Soil Ecology

JF - Applied Soil Ecology

SN - 0929-1393

IS - 1

ER -