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Author |
Wu, L.; Whitmore, A.P.; Bellocchi, G. |
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Title |
Modelling the impact of environmental changes on grassland systems with SPACSYS |
Type |
Journal Article |
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Year |
2015 |
Publication  |
Advances in Animal Biosciences |
Abbreviated Journal |
Advances in Animal Biosciences |
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Volume |
6 |
Issue |
01 |
Pages |
37-39 |
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Keywords |
grassland production; dynamic simulation model; primary production; ecosystem respiration |
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English |
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ISSN |
2040-4700 2040-4719 |
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Notes |
CropM, LiveM, ft_macsur |
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no |
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Call Number |
MA @ admin @ |
Serial |
4655 |
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Author |
Sándor, R.; Ma, S.; Acutis, M.; Barcza, Z.; Ben Touhami, H.; Doro, L.; Hidy, D.; Köchy, M.; Lellei-Kovács, E.; Minet, J.; Perego, A.; Rolinski, S.; Ruget, F.; Seddaiu, G.; Wu, L.; Bellocchi, G. |
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Title |
Uncertainty in simulating biomass yield and carbon–water fluxes from grasslands under climate change |
Type |
Journal Article |
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Year |
2015 |
Publication |
Advances in Animal Biosciences |
Abbreviated Journal |
Advances in Animal Biosciences |
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Volume |
6 |
Issue |
01 |
Pages |
49-51 |
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Keywords |
grassland productivity; carbon balance; model simulation; uncertainty; sensitivity |
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ISSN |
2040-4700 |
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Notes |
CropM, LiveM, ft_macsur |
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no |
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Call Number |
MA @ admin @ |
Serial |
4651 |
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Author |
Rolinski, S.; Weindl, I.; Heinke, J.; Bodirsky, B.L.; Biewald, A.; Lotze-Campen, H. |
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Title |
Pasture harvest, carbon sequestration and feeding potentials under different grazing intensities |
Type |
Journal Article |
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Year |
2015 |
Publication |
Advances in Animal Biosciences |
Abbreviated Journal |
Advances in Animal Biosciences |
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Volume |
6 |
Issue |
01 |
Pages |
43-45 |
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Keywords |
global dynamic vegetation model; LPJmL; grasslands; livestock production |
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Notes |
CropM, LiveM, ft_macsur |
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no |
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MA @ admin @ |
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4541 |
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Author |
Lehtonen, H. |
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Title |
Evaluating adaptation and the production development of Finnish agriculture in climate and global change |
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Journal Article |
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Year |
2015 |
Publication |
Agricultural and Food Science |
Abbreviated Journal |
Agricultural and Food Science |
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Volume |
24 |
Issue |
3 |
Pages |
219-234 |
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Keywords |
agricultural sector modelling; economic adjustment; global prices; climate change; finnish agriculture; crop production; land-use; challenge; ensembles; Finland; Europe; policy |
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Abstract |
Agricultural product prices and policies influence the development of crop yields under climate change through farm level management decisions. On this basis, five main scenarios were specified for agricultural commodity prices and crop yields. An economic agricultural sector model was used in order to assess the impacts of the scenarios on production, land use and farm income in Finland. The results suggest that falling crop yields, if realized due to low prices and restrictive policies, will result in decreasing crop and livestock production and increasing nutrient surplus. Slowly increasing crop yields could stabilise production and increase farm income. Significantly higher crop prices and yields are required, however, for any marked increase in production in Finland. Cereals production would increase relatively more than livestock production, if there were high prices for agricultural products. This is explained by abundant land resources, a high opportunity cost of labour and policies maintaining current dairy and beef production. |
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Address |
2016-07-22 |
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Edition |
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ISSN |
1459-6067 |
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Notes |
TradeM, ft_macsur |
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Call Number |
MA @ admin @ |
Serial |
4750 |
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Author |
Toscano, P.; Genesio, L.; Crisci, A.; Vaccari, F.P.; Ferrari, E.; La Cava, P.; Porter, J.R.; Gioli, B. |
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Title |
Empirical modelling of regional and national durum wheat quality |
Type |
Journal Article |
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Year |
2015 |
Publication |
Agricultural and Forest Meteorology |
Abbreviated Journal |
Agricultural and Forest Meteorology |
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Volume |
204 |
Issue |
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Pages |
67-78 |
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Keywords |
durum wheat; grain protein content; forecasting tool; modelling; gridded data; red winter-wheat; grain quality; climate-change; mediterranean conditions; interannual variability; protein-composition; co2 concentration; vapor-pressure; carbon-dioxide; crop yield |
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Abstract |
The production of durum wheat in the Mediterranean basin is expected to experience increased variability in yield and quality as a consequence of climate change. To assess how environmental variables and agronomic practices affect grain protein content (GPC), a novel approach based on monthly gridded input data has been implemented to develop empirical model, and validated on historical time series to assess its capability to reproduce observed spatial and inter-annual GPC variability. The model was applied in four Italian regions and at the whole national scale and proved reliable and usable for operational purposes also in a forecast ‘real-time’ mode before harvesting. Precipitable water during autumn to winter and air temperature from anthesis to harvest were extremely important influences on GPC; these and additional variables, included in a linear model, were able to account for 95% of the variability in GPC that has occurred in the last 15 years in Italy. Our results are a unique example of the use of modelling as a predictive real-time platform and are a useful tool to understand better and forecast the impacts of future climate change projections on durum wheat production and quality. |
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2016-10-31 |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
0168-1923 |
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Notes |
CropM, ft_macsur |
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Call Number |
MA @ admin @ |
Serial |
4818 |
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