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dc.contributor.authorGutiérrez-Peña, R
dc.contributor.authorMena, Y.
dc.contributor.authorBatalla, I.
dc.contributor.authorMancilla-Leytón, J.M.
dc.date.accessioned2020-10-29T11:48:55Z
dc.date.available2020-10-29T11:48:55Z
dc.date.issued2019
dc.identifier.citationJOURNAL OF ENVIRONMENTAL MANAGEMENT: 232: 993-998 (2019)es_ES
dc.identifier.issn0301-4797
dc.identifier.urihttp://hdl.handle.net/10810/47407
dc.description.abstractThe main objective of this study was to analyze the carbon footprint (CF) of grazing dairy goat systems in a natural park according to their grazing level. A total of 16 representative grazing goat farms in southern Spain were selected and grouped into three farming systems: low productivity grazing farms (LPG), more intensified grazing farms (MIG) and high productivity grazing farms (HPG). Their CF was analyzed, including greenhouse gas emissions and soil C sequestration according to the farms grazing level and milk productivity, taking into account different functional units (one kilogram of fat and protein corrected milk (FPCM) and one hectare) and milk correction. Results showed that all variables differed according to the milk correction applied as the values for cow's milk correction were 41% lower than for sheep's milk correction. Total emissions and contributions of soil carbon sequestration differed according to farming system group; LPG farms had higher total emissions than MIG and HPG farms, however total carbon sequestration was lower in the MIG farms than in the LPG and HPG farms. The CF values ranged from 2.36 to 1.76 kg CO2e kg-1 FPCM for sheep's milk correction and from 1.40 to 1.04 kg CO2e kg-1 FPCM for cow's milk correction. No differences were found between farming system groups in either of the two cases but when calculations took hectare of land as a functional unit, the contribution of MIG farms to the CF was 85% higher than LPG and HPG farms. Therefore it is important to take into account the functional unit used to calculate the CF by analyzing this indicator in a broader context, and including carbon sequestration by grazing livestock in the calculation. In order to reduce the CF of this type of system, it is advisable to make appropriate use of the natural resources and to reach an optimum level of milk productivity, high enough for pastoral livestock farming to be viable. © 2018 Elsevier Ltdes_ES
dc.description.sponsorshipThe authors thank the “ Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria ” (Project INIA- RTA2010-00064-C04-02 ) for funding this research. The authors also acknowledge the INIA and the European Social Fund pre-doctoral contract grant (Rosario Gutiérrez Peña) and would especially like to thank the goat farmers for their contribution.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/INIA- RTA2010-00064-C04-02es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectcarbon footprint; carbon sequestration; comparative study; dairy farming; farming system; goat; grazing; grazing management; greenhouse gas; production system; protected area; agricultural land; animal experiment; animal model; article; calculation; carbon footprint; carbon sequestration; dairy goat; farming system; grazing management; milk; natural resource; nonhuman; productivity; sheep; soil; Spain; Spain; Capra hircus; Ovis arieses_ES
dc.titleCarbon footprint of dairy goat production systems: A comparison of three contrasting grazing levels in the Sierra de Grazalema Natural Park (Southern Spain)es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2018 Elsevier Ltd. All rights reserved.es_ES
dc.rights.holderAtribución-NoComercial-CompartirIgual 3.0 España*
dc.relation.publisherversionhttps://dx.doi.org/10.1016/j.jenvman.2018.12.005es_ES
dc.contributor.funderINIA, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria


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© 2018 Elsevier Ltd. All rights reserved.
Except where otherwise noted, this item's license is described as © 2018 Elsevier Ltd. All rights reserved.