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Author Pulina, A.; Bellocchi, G.; Seddaiu, G.; Roggero, P.P.
Title Scenario analysis of alternative management options on the forage production and greenhouse gas emissions in Mediterranean grasslands Type Conference Article
Year 2016 Publication Abbreviated Journal
Volume 116 Issue Pages 263-266
Keywords LiveM; MACSUR_ACK
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Notes Approved no
Call Number TI @ martin.koechy @ Serial 2940
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Author Virkajärvi, P.; Korhonen, P.; Bellocchi, G.; Curnel, Y.; Wu, L.; Jégo, G.; Persson, T.; Höglind, M.; Van Oijen, M.; Gustavsson, A.-M.; Kipling, R.P.
Title Modelling responses of forages to climate change with a focus on nutritive value Type Journal Article
Year 2016 Publication Advances in Animal Biosciences Abbreviated Journal Advances in Animal Biosciences
Volume 7 Issue 03 Pages 227-228
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ISSN 2040-4700 ISBN Medium
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Notes LiveM, ft_macsur Approved no
Call Number MA @ admin @ Serial 4876
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Author Graux, A.-I.; Bellocchi, G.; Lardy, R.; Soussana, J.-F.
Title Ensemble modelling of climate change risks and opportunities for managed grasslands in France Type Journal Article
Year 2013 Publication Agricultural and Forest Meteorology Abbreviated Journal Agricultural and Forest Meteorology
Volume 170 Issue Pages 114-131
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ISSN 0168-1923 ISBN Medium
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Notes CropM, LiveM, ftnotmacsur, IPCC-AR5 Approved no
Call Number MA @ admin @ Serial 4926
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Author Brilli, L.; Ferrise, R.; Dibari, C.; Bindi, M.; Bellocchi, G.
Title Needs on model improvement Type Report
Year 2017 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 10 Issue Pages XC1.1-D
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Abstract The need to answer new scientific questions can be satisfied by an increased knowledge of physiological mechanisms which, in turn, can be used for improving the accuracy of simulations of process-based models. In this context, this report highlights areas that need to be further improved to facilitate the operational use of simulation models. It describes missing approaches within simulation models which, if implemented, would likely improve the representation of the dynamics of processes underlying different compartments of crop and grassland systems (e.g. plant growth and development, yield production, GHG emissions), as well as of the livestock production systems.  The following rationale has been used in the organization of this report. We first briefly introduced the need to improve the reliability of existing models. Then, we indicated climate change and its influence on the global carbon balance as the main issue to be addressed by existing crop and grassland (section 2), and livestock (section 3) models. In section 2, among the major aspects that if implemented may reduce the uncertainty inherent to model outputs, we suggested: i) quantifying the effects of climate extremes on biological systems; ii) modelling of multi-species sward; iii) coupling of pest and disease sub-models; iv) improvement of the carry-over effect. In section 3, as the most important aspects to consider in livestock models we indicated: i) impacts and dynamics of pathogens and disease; ii) heat stress effects on livestock; iii) effects on grassland productivity and nutritional values; iv) improvement of GHG emissions dynamics.  In Section 4, remarks are made concerning the need to implement the suggested aspects into the existing models.
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Call Number MA @ admin @ Serial 4938
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Author Bellocchi, G., B.; Brilli, L.; Ferrise, R.; Dibari, C.; Bindi, M.
Title Model comparison and improvement: Links established with other consortia Type Report
Year 2017 Publication FACCE MACSUR Reports Abbreviated Journal
Volume 10 Issue Pages XC1.3-D
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Abstract XC1 has established links to other research activities and consortia on model comparison and improvement. They include the global initiatives AgMIP (http://www.agmip.org ) and GRA (http://www.globalresearchalliance.org), and the EU-FP7 project MODEXTREME (http://modextreme.org ). These links have allowed sharing and communication of recent results and methods, and have created opportunities for future research calls.
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Language English Summary Language Original Title
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Notes Approved no
Call Number MA @ admin @ Serial 4941
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