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Comparison of production-phase environmental impact metrics derived at the farm- and national-scale for United States agricultural commodities

Bibliographic Data

ID15549519
AuthorsChristine Costello (0000-0002-2121-6930, University of Missouri, corresponding author), Xiaobo Xue (University at Albany, State University of New York), Robert W Howarth (0000-0001-9531-4288, Cornell University)
Year2015
Volume10
Issue11
Pages114004-114004
Publication date2015-10-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/10/11/114004
OpenAlexW2197928122
LanguageEN
Citations received4
References cited3

Agricultural production is critical for human survival and simultaneously contributes to ecosystem degradation. There is a need for transparent, rapid methods for evaluating the environmental impacts of agricultural production at the system-level in order to develop sustainable food supplies. We have developed a method for estimating the greenhouse gas (GHG), land use and reactive nitrogen inputs associated with the agricultural production phase of major crop and livestock commodities produced in the United States (US). Materials flow analysis (MFA) and life cycle assessment (LCA) techniques were applied to national inventory datasets. The net anthropogenic nitrogen inputs (NANI) toolbox served as the primary accounting tool for LCA and MFA. NANI was updated to create links between nitrogen fertilizer and nitrogen fixation associated with feed crops and animal food commodities. Results for the functional units kilogram (kg) of product and kg of protein for 2002 data fall within ranges of published LCA results from farm-scale studies across most metrics. Exceptions include eutrophication potential for milk and GHGs for chicken and eggs, these exceptions arise due to differing methods and boundary assumptions; suggestions for increasing agreement are identified. Land use for livestock commodities are generally higher than reported by other LCA studies due to the inclusion of all land identified as pasture or grazing land in the US in this study and given that most of the estimates from other LCAs were completed in Europe where land is less abundant. The method provides a view of the entire US agricultural system and could be applied to any year using publically available data. Additionally, utilizing a top-down approach reduces data collection and processing time making it possible to develop environmental inventory metrics rapidly for system-level decision-making

Agricultural land · Agricultural productivity · Agricultural science · Agriculture · Economics · Environmental impact assessment · Environmental protection · Geography · Greenhouse gas · Land use · Life-cycle assessment · Livestock · Natural resource economics · Nitrogen · Production (economics · Reactive nitrogen · Sustainability · Agriculture Sustainability and Environmental Impact · Economic and Environmental Valuation · Environmental Impact and Sustainability · Environmental Science · Ecology

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Unique citing works4
Citations per year0,5
Citation span2018 - 2025 (8)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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