Records |
Author |
Sándor, R.; Ehrhardt, F.; Basso, B.; Bellocchi, G.; Bhatia, A.; Brilli, L.; Migliorati, M.D.A.; Doltra, J.; Dorich, C.; Doro, L.; Fitton, N.; Giacomini, S.J.; Grace, P.; Grant, B.; Harrison, M.T.; Jones, S.; Kirschbaum, M.U.F.; Klumpp, K.; Laville, P.; Léonard, J.; Liebig, M.; Lieffering, M.; Martin, R.; McAuliffe, R.; Meier, E.; Merbold, L.; Moore, A.; Myrgiotis, V.; Newton, P.; Pattey, E.; Recous, S.; Rolinski, S.; Sharp, J.; Massad, R.S.; Smith, P.; Smith, W.; Snow, V.; Wu, L.; Zhang, Q.; Soussana, J.F. |
Title |
C and N models Intercomparison – benchmark and ensemble model estimates for grassland production |
Type |
Journal Article |
Year |
2016 |
Publication |
Advances in Animal Biosciences |
Abbreviated Journal |
Advances in Animal Biosciences |
Volume |
7 |
Issue |
03 |
Pages |
245-247 |
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ISSN |
2040-4700 |
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Notes |
LiveM, ft_macsur |
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no |
Call Number |
MA @ admin @ |
Serial |
4868 |
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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 |
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Volume |
116 |
Issue |
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Pages |
263-266 |
Keywords |
LiveM; MACSUR_ACK |
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TI @ martin.koechy @ |
Serial |
2940 |
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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 |
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Notes |
LiveM, ft_macsur |
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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 |
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Pages |
114-131 |
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0168-1923 |
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CropM, LiveM, ftnotmacsur, IPCC-AR5 |
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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 |
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Volume |
10 |
Issue |
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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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MA @ admin @ |
Serial |
4938 |
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