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Author Britz, W.
Title (up) Importance of considering crop management adaptation in CC impact studies: A Pan-European integrated assessment Type
Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 4 Issue Pages SP4-4
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Area Expedition Conference TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, 25–27 November 2014, Hurdalsjø, Norway
Notes Approved no
Call Number MA @ admin @ Serial 2194
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Author Liu, X.
Title (up) Incentivising for climage change mitigation in the context of adaptation to climate and market changes at the farm level in North Savo region Type
Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 4 Issue Pages SP4-10
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Abstract Authors: Lehtonen, H., Liu, X. & Purola, T. No Label
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Area Expedition Conference TradeM International Workshop 2014 »Economics of integrated assessment approaches for agriculture and the food sector«, 25–27 November 2014, Hurdalsjø, Norway
Notes Approved no
Call Number MA @ admin @ Serial 2200
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Author Heinschink et al.
Title (up) Index-based costs of livestock production (INCAP.l) in Austria – the suckler cow and beef calf production activity Type Report
Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 8 Issue Pages SP8-1
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Abstract Conference presentation PDF
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Area Expedition Conference LiveM2016: International livestock modelling conference – Modelling grassland-livestock systems under climate change
Notes Approved no
Call Number MA @ admin @ Serial 4846
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Author Rivington, M.; Wallach, D.
Title (up) Information to support input data quality and model improvement Type Report
Year 2015 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 6 Issue Pages D-C4.2.4
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Abstract Data quality is a key factor in determining the quality of model estimates and hence a models’ overall utility. Good models run with poor quality explanatory variables and parameters will produce meaningless estimates. Many models are now well developed and have been shown to perform well where and when good quality data is available. Hence a major limitation now to further use of models in new locations and applications is likely to be the availability of good quality data. Improvements in the quality of data may be seen as the starting point of further model improvement, in that better data itself will lead to more accurate model estimates (i.e. through better calibration), and it will facilitate reduction of model residual error by enabling refinements to model equations. This report sets out why data quality is important as well as the basis for additional investment in improving data quality. No Label
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Area Expedition Conference
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Call Number MA @ admin @ Serial 2103
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Author Menardo et al.
Title (up) INNO Mil-CH4 GHG Emissions from Milk Production Type Report
Year 2016 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 8 Issue Pages SP8-4
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Abstract Conference poster PDF
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Area Expedition Conference LiveM2016: International livestock modelling conference – Modelling grassland-livestock systems under climate change
Notes Approved no
Call Number MA @ admin @ Serial 4845
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