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

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 estimat...

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Veröffentlicht in:Applied soil ecology : a section of Agriculture, ecosystems & environment ecosystems & environment, 2010-09, Vol.46 (1), p.43-53
Hauptverfasser: Griffiths, B.S., Ball, B.C., Daniell, T.J., Hallett, P.D., Neilson, R., Wheatley, R.E., Osler, G., Bohanec, M.
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container_issue 1
container_start_page 43
container_title Applied soil ecology : a section of Agriculture, ecosystems & environment
container_volume 46
creator Griffiths, B.S.
Ball, B.C.
Daniell, T.J.
Hallett, P.D.
Neilson, R.
Wheatley, R.E.
Osler, G.
Bohanec, M.
description 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.
doi_str_mv 10.1016/j.apsoil.2010.06.012
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subjects agricultural land
Agronomy. Soil science and plant productions
arable soils
biodegradation
Biological and medical sciences
cattle manure
Chemical, physicochemical, biochemical and biological properties
Compost
crop rotation
Fundamental and applied biological sciences. Psychology
gas emissions
General agronomy. Plant production
grassland soils
leaching
liquid manure
losses from soil
mathematical models
Multi-attribute model
Organic matter
Other nutrients. Amendments. Solid and liquid wastes. Sludges and slurries
pastures
Physics, chemistry, biochemistry and biology of agricultural and forest soils
Rotation
simulation models
Slurry
soil biology
soil chemical properties
soil fertility
Soil function
soil microorganisms
soil physical properties
Soil quality
Soil science
Soil-plant relationships. Soil fertility. Fertilization. Amendments
sustainable agriculture
trade-offs
yard waste composts
title Integrating soil quality changes to arable agricultural systems following organic matter addition, or adoption of a ley-arable rotation
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