Artículo
The IPCC Tool for predicting soil organic carbon changes evaluated for the Pampas, Argentina
Fecha de publicación:
11/2013
Editorial:
Elsevier Science
Revista:
Agriculture, Ecosystems and Environment
ISSN:
0167-8809
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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 = 27.7 t ha−1 = 48.5% ofthe mean SOC stock). On average,the methodology estimated SOC decreases on cultivation of 21%, but measured SOC changes were 10–14%. 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 = 14.9 t ha−1 = 31% 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.
Palabras clave:
Suelos
,
Secuestro de Carbono
,
Ipcc Tool
,
Región Pampeana
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(OCA PQUE. CENTENARIO)
Articulos de OFICINA DE COORDINACION ADMINISTRATIVA PQUE. CENTENARIO
Articulos de OFICINA DE COORDINACION ADMINISTRATIVA PQUE. CENTENARIO
Citación
Berhongaray, Gonzalo; Alvarez, Roberto; The IPCC Tool for predicting soil organic carbon changes evaluated for the Pampas, Argentina; Elsevier Science; Agriculture, Ecosystems and Environment; 181; 11-2013; 241-245
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