Carbon Footprint of Lamb and Wool Production at Farm Gate and the Regional Scale in Southern Patagonia

Pablo L. Peri, Yamina M. Rosas, Brenton Ladd, Ricardo Díaz-Delgado and Guillermo Martínez Pastur
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Pablo L. Peri: Instituto Nacional de Tecnología Agropecuaria (INTA), 9400 Río Gallegos, Santa Cruz, Argentina
Yamina M. Rosas: Laboratorio de Recursos Agroforestales, Centro Austral de Investigaciones Científicas (CADIC CONICET), 9410 Ushuaia, Tierra del Fuego, Argentina
Brenton Ladd: Escuela de Agroforestería, Universidad Científica del Sur, Lima 15067, Peru
Ricardo Díaz-Delgado: Laboratorio de SIG y Teledetección, Estación Biológica de Doñana (CSIC), 41092 Sevilla, Spain
Guillermo Martínez Pastur: Laboratorio de Recursos Agroforestales, Centro Austral de Investigaciones Científicas (CADIC CONICET), 9410 Ushuaia, Tierra del Fuego, Argentina

Sustainability, 2020, vol. 12, issue 8, 1-26

Abstract: 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 CO 2 -eq/kg for lamb meat (carcass) and from 7.83 to 18.70 kg CO 2 -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.

Keywords: anthropogenic greenhouse gas (GHG) emissions; rangeland; livestock; climate; lamb production; wool production (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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