The IPCC Tool for predicting soil organic carbon changes evaluated for the Pampas, Argentina

The Intergovernmental Panel on Climate Change [IPCC] has developed a methodology for predicting soil organic carbon [SOC] stocks and changes known as the IPCC Tool. We tested the use of this tool for soils of the Pampas Region of Argentina by comparing its predictions with results from a soil survey...

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Detalles Bibliográficos
Autor principal: Berhongaray, Gonzalo
Otros Autores: Alvarez, R.
Formato: Artículo
Lenguaje:Inglés
Materias:
CHANGES
INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE
LAND-USE
MODEL VALIDATION
PAMPAS REGION
SOC
STOCK
Acceso en línea:http://ri.agro.uba.ar/files/intranet/articulo/2013berhongaray.pdf
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Central (FAUBA) de Universidad de Buenos Aires
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520 |a The Intergovernmental Panel on Climate Change [IPCC] has developed a methodology for predicting soil organic carbon [SOC] stocks and changes known as the IPCC Tool. We tested the use of this tool for soils of the Pampas Region of Argentina by comparing its predictions with results from a soil survey performed on 82 farms widely distributed over the region. The sample comprised soils in uncultivated as well as agricultural fields, both under crops or in the pasture phase of a mixed rotation. Using the default parameters, the IPCC Tool could not predict SOC stocks of uncultivated fields with an acceptable performance [R2=0.249; RMSE=27.7tha-1=48.5 percent of the mean SOC stock]. On average, the methodology estimated SOC decreases on cultivation of 21 percent, but measured SOC changes were 10-14 percent. We therefore propose that default parameters values should be calibrated using local data. Using measured SOC stocks from uncultivated fields as reference values and locally calibrated parameters, led to an improvement in the estimation of land use change effect on SOC, but the fit to observed results was still poor [R2=0.403; RMSE=14.9tha-1=31 percent of the mean SOC stock]. Possible causes of this failure of the methodology to capture land-use change effects on SOC are discussed, as well as the performance attained by other methodologies for estimating SOC in the Pampas. 
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700 1 |a Alvarez, R.  |9 39273 
773 |t Agriculture, Ecosystems and Environment  |g vol.181 (2013), p.241-245 
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900 |a ^aBerhongaray^bG.^tDepartment of Biology, Research Group of Plant and Vegetation Ecology [PLECO], University of Antwerp, Belgium 
900 |a ^aAlvarez^bR.^tFacultad de Agronomía, Universidad de Buenos Aires-CONICET, Argentina 
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900 |a STOCK 
900 |a The Intergovernmental Panel on Climate Change [IPCC] has developed a methodology for predicting soil organic carbon [SOC] stocks and changes known as the IPCC Tool. We tested the use of this tool for soils of the Pampas Region of Argentina by comparing its predictions with results from a soil survey performed on 82 farms widely distributed over the region. The sample comprised soils in uncultivated as well as agricultural fields, both under crops or in the pasture phase of a mixed rotation. Using the default parameters, the IPCC Tool could not predict SOC stocks of uncultivated fields with an acceptable performance [R2=0.249; RMSE=27.7tha-1=48.5 percent of the mean SOC stock]. On average, the methodology estimated SOC decreases on cultivation of 21 percent, but measured SOC changes were 10-14 percent. We therefore propose that default parameters values should be calibrated using local data. Using measured SOC stocks from uncultivated fields as reference values and locally calibrated parameters, led to an improvement in the estimation of land use change effect on SOC, but the fit to observed results was still poor [R2=0.403; RMSE=14.9tha-1=31 percent of the mean SOC stock]. Possible causes of this failure of the methodology to capture land-use change effects on SOC are discussed, as well as the performance attained by other methodologies for estimating SOC in the Pampas. 
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