Geographic information system based manure application plan.
Identifieur interne : 000F57 ( Main/Exploration ); précédent : 000F56; suivant : 000F58Geographic information system based manure application plan.
Auteurs : Badri B. Basnet [Australie] ; Armando A. Apan ; Steven R. RaineSource :
- Journal of environmental management [ 0301-4797 ] ; 2002.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Nitrogen, Soil Pollutants.
- chemical : Manure, Soil.
- prevention & control : Water Pollution.
- statistics & numerical data : Geography.
- Agriculture, Animals, Animals, Domestic, Environmental Monitoring, Information Systems.
Abstract
A geographic information system (GIS) based manure application plan has been developed for the site-specific application of animal waste to agricultural fields in the Westbrook sub-catchment of the Murray-Darling Basin, south-east Queensland, Australia. Sites suitable for animal waste application were identified using a GIS based weighted linear combination (WLC) model. The degree of land suitability for animal waste application was determined using a range of social, economic, environmental, and agricultural factors. As eutrophication and toxic blue-green algae blooms are a known problem in the catchment, the manure application rates were limited to the rate of crop phosphorus removal. Maximum manure application rate was calculated spatially by taking the crop nutrient (P2O5) requirement and the manure nutrient (P2O5) content into account. The environmental suitability of the fields receiving animal waste was considered in prescribing the final application rate of solid and liquid manures generated by local animal production facilities. The degree of site suitability of the agricultural fields was also used to suggest manure management practices to minimise the socio-environmental risks and increase the nutrient use efficiency of the applied manure. The amount of ammonium nitrogen (NH4-N) that would be added to the soil by satisfying the P2O5 requirement using manure sources was also calculated and an applied NH4-N map was created. This map could be used to assist farmers identify additional nitrogen requirements after manure application.
PubMed: 11995243
Affiliations:
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- to stream PubMed, to step Curation: 000486
- to stream PubMed, to step Checkpoint: 000486
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Le document en format XML
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<country xml:lang="fr">Australie</country>
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<term>Information Systems</term>
<term>Manure</term>
<term>Nitrogen (analysis)</term>
<term>Soil</term>
<term>Soil Pollutants (analysis)</term>
<term>Water Pollution (prevention & control)</term>
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<front><div type="abstract" xml:lang="en">A geographic information system (GIS) based manure application plan has been developed for the site-specific application of animal waste to agricultural fields in the Westbrook sub-catchment of the Murray-Darling Basin, south-east Queensland, Australia. Sites suitable for animal waste application were identified using a GIS based weighted linear combination (WLC) model. The degree of land suitability for animal waste application was determined using a range of social, economic, environmental, and agricultural factors. As eutrophication and toxic blue-green algae blooms are a known problem in the catchment, the manure application rates were limited to the rate of crop phosphorus removal. Maximum manure application rate was calculated spatially by taking the crop nutrient (P2O5) requirement and the manure nutrient (P2O5) content into account. The environmental suitability of the fields receiving animal waste was considered in prescribing the final application rate of solid and liquid manures generated by local animal production facilities. The degree of site suitability of the agricultural fields was also used to suggest manure management practices to minimise the socio-environmental risks and increase the nutrient use efficiency of the applied manure. The amount of ammonium nitrogen (NH4-N) that would be added to the soil by satisfying the P2O5 requirement using manure sources was also calculated and an applied NH4-N map was created. This map could be used to assist farmers identify additional nitrogen requirements after manure application.</div>
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