Carbon footprint of lamb and Wool production at farm gate and the regional sale in southern Patagonia

• Autores: Peri, Pablo Luis; Rosas, Yamina Micaela; Ladd, Brenton; Díaz-Delgado, Ricardo; Martinez Pastur, Guillermo José
• Año de publicación: 2020
• Idioma: inglés
• Tipo de recurso: artículo
• Fuente: Sustainability 12 (8) : 30772020. (April 2020)
• Materia: Greenhouse Gas Emissions; Lamb Meat; Rangeland; Livestock; Climate; Production Data; Wool Production; Climate Change; Regression Analysis; Processing Plants; Monitoring and Evaluation; Primary Production; Transport; Mitigation; Emisiones de Gases de Efecto Invernadero; Pastizales; Ganado; Cambio Climático; Producción Primaria; Transporte; Mitigación; Santa Cruz (Argentina); Monitoreo y Evaluación; Lamb Production; Producción de Corderos; Carbon Footprint; Huella de Carbono; Región Patagónica
• Institución: Instituto Nacional de Tecnología Agropecuaria

Natural steppe grasslands are the principal food resource for sheep in the Patagonia region, reared for meat and wool. However, there is currently a concern about the relationship between ruminant livestock and climate change due to its contribution to anthropogenic greenhouse gas (GHG) emissions. The objective of this study was to determine the carbon footprints (CF) of sheep meat (lamb) and wool on a range of farms using empirical data collected on farm and then upscaled to the regional scale using models that use topographic, climatic, and vegetation indices as independent variables. At the regional level, the total CF of lamb and wool (the combination of emissions produced on farm, via transport, and via industrial processing) varied from 10.64 to 41.32 kg CO2-eq/kg for lamb meat (carcass) and from 7.83 to 18.70 kg CO2-eq/kg for fine-grade wool. For both, the predominant contribution was from primary production on-farm (75–90%), followed by industrial processing (2–15%), and transportation. We used multiple regression models to produce maps of lamb and wool CF at farm gate across Santa Cruz province. The model for variation of lamb CF explained 95% of the variance on the data and the most significant predictor variables were temperature seasonality and normalized difference vegetation index (NDVI, dimensionless). The most important variables for the model of CF of greasy wool production at farm gate were isothermality, temperature seasonality, and NDVI explained 98%. The lowest CF values of both products (lamb and wool) were located in more productive grasslands. The successful management of livestock GHG emissions becomes an important challenge to the scientific, commercial, and policy communities. The results of CF for lamb and wool production found in the present work assist in characterizing the greenhouse gas emissions profile of livestock products in Southern Patagonia by providing a baseline against which mitigation actions can be planned and progress monitored
EEA SANTA CRUZ
Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.
Fil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral (UNPA). Santa Cruz; Argentina.
Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET); Argentina.
Fil: Rosas, Yamina Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Centro Austral de Investigaciones Científicas (CADIC). Ushuaia, Tierra del Fuego; Argentina.
Fil: Ladd, Brenton. Universidad Científica del Sur. Escuela de Agroforestería. Lima; Perú.
Fil: Díaz-Delgado, Ricardo. Estación Biológica de Doñana (CSIC). Laboratorio de SIG y Teledetección. Sevilla; España.
Fil: Martínez Pastur, Guillermo J. Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET). Centro Austral de Investigaciones Científicas (CADIC).Ushuaia, Tierra del Fuego; Argentina.