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Author Ewert, F.; Boote, K.J.; Rötter, R.P.; Thorburn, P.; Nendel, C. (eds)
Title (up) Crop modelling for agriculture and food security under global change. Abstracts. International Crop Modelling Symposium iCROPM2016, 15-17 March 2016, Berlin, Germany Type Book Whole
Year 2016 Publication Abbreviated Journal
Volume Issue Pages
Keywords CropM; MACSUR_ACK
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Publisher Place of Publication Berlin Editor Ewert, F.; Boote, K.J.; Rötter, R.P.; Thorburn, P.; Nendel, C.
Language Summary Language Original Title
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Notes Approved no
Call Number MA @ admin @ Serial 2428
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Author Heinschink, K.; Lembacher, F.; Sinabell, F.; Trible, C.
Title (up) Crop production costs in Austria: Comparison of simulated results and farm observations Type Conference Article
Year 2016 Publication Jahrbuch der ÖGA Abbreviated Journal
Volume 26 Issue Pages 33-34
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Area Expedition Conference 26. Jahrestagung der Österreichischen Gesellschaft für Agrarökonomie, 2016-09-15 to 2016-09-16, Vienna, Austria
Notes Approved no
Call Number MA @ admin @ Serial 5025
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Author Rezaei, E.E.; Siebert, S.; Ewert, F.
Title (up) Data aggregation does not reduce signals of heat and drought stress in large area yield simulations Type Conference Article
Year 2016 Publication Abbreviated Journal
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Publisher Place of Publication Berlin (Germany) Editor
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Area Expedition Conference International Crop Modelling Symposium iCROPM 2016, 2016-05-15 to 2016-05-17, Berlin, Germany
Notes Approved no
Call Number MA @ admin @ Serial 4919
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Author Blanco-Penedo et al.
Title (up) Data driven dairy decision for farmers Type Report
Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 8 Issue Pages SP8-2
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Abstract Conference poster PDF
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Notes Approved no
Call Number MA @ admin @ Serial 4855
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Author Bennetzen, E.H.; Smith, P.; Porter, J.R.
Title (up) Decoupling of greenhouse gas emissions from global agricultural production: 1970-2050 Type Journal Article
Year 2016 Publication Global Change Biology Abbreviated Journal Glob. Chang. Biol.
Volume 22 Issue 2 Pages 763-781
Keywords climate change; energy use; global agriculture; greenhouse gas emissions; land use; mitigation; sustainable intensification
Abstract Since 1970 global agricultural production has more than doubled; contributing ~1/4 of total anthropogenic greenhouse gas (GHG) burden in 2010. Food production must increase to feed our growing demands, but to address climate change, GHG emissions must decrease. Using an identity approach, we estimate and analyse past trends in GHG emission intensities from global agricultural production and land-use change and project potential future emissions. The novel Kaya-Porter identity framework deconstructs the entity of emissions from a mix of multiple sources of GHGs into attributable elements allowing not only a combined analysis of the total level of all emissions jointly with emissions per unit area and emissions per unit product. It also allows us to examine how a change in emissions from a given source contributes to the change in total emissions over time. We show that agricultural production and GHGs have been steadily decoupled over recent decades. Emissions peaked in 1991 at ~12 Pg CO2 -eq. yr(-1) and have not exceeded this since. Since 1970 GHG emissions per unit product have declined by 39% and 44% for crop- and livestock-production, respectively. Except for the energy-use component of farming, emissions from all sources have increased less than agricultural production. Our projected business-as-usual range suggests that emissions may be further decoupled by 20-55% giving absolute agricultural emissions of 8.2-14.5 Pg CO2 -eq. yr(-1) by 2050, significantly lower than many previous estimates that do not allow for decoupling. Beyond this, several additional costcompetitive mitigation measures could reduce emissions further. However, agricultural GHG emissions can only be reduced to a certain level and a simultaneous focus on other parts of the food-system is necessary to increase food security whilst reducing emissions. The identity approach presented here could be used as a methodological framework for more holistic food systems analysis.
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Language English Summary Language Original Title
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ISSN 1354-1013 ISBN Medium Article
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Notes CropM, ftnotmacsur Approved no
Call Number MA @ admin @ Serial 4706
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