2016
DOI: 10.1002/bbb.1629
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Optimizing the water, carbon, and land‐use footprint of bioenergy production in Mexico ‐ Six case studies and the nationwide implications

Abstract: This study aims to answer the question if and how biofuels can be produced in Mexico without aggravating water scarcity, reducing greenhouse gas (GHG) emissions and avoiding indirect land-use changes. We analyzed environmental impacts of six potential maize-bioethanol production systems in Mexico on water resources, land use, and GHG emissions by using a life cycle assessment approach. Three irrigated high-input maize systems and three rain-fed low-yield systems were analyzed. Inventory data was acquired by so… Show more

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Cited by 10 publications
(2 citation statements)
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“…Electricity generated from coal-based sources makes irrigation a key source of GHG emissions from agriculture (Rothausen & Conway, 2011;Zou et al, 2015). When compared with rain-fed agriculture, a greater part of GHG emissions from irrigation-oriented production systems comes from the energy used for irrigation (Grassini & Cassman, 2012;Hennecke et al, 2016). Irrigation-related energy consumption accounted for 13.3% of the total GHG emissions in maize production systems on the Loess Plateau in China .…”
Section: Introductionmentioning
confidence: 99%
“…Electricity generated from coal-based sources makes irrigation a key source of GHG emissions from agriculture (Rothausen & Conway, 2011;Zou et al, 2015). When compared with rain-fed agriculture, a greater part of GHG emissions from irrigation-oriented production systems comes from the energy used for irrigation (Grassini & Cassman, 2012;Hennecke et al, 2016). Irrigation-related energy consumption accounted for 13.3% of the total GHG emissions in maize production systems on the Loess Plateau in China .…”
Section: Introductionmentioning
confidence: 99%
“…Examples of reference equipment capital costs are shown in Tables S10 and S13 of the Supplementary Materials. Hennecke et al (2016) and allocated to straw using average ratio from data in Kim et al (2009).…”
Section: Data Collectionmentioning
confidence: 99%