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Author |
Gomara, I.; Bellocchi, G.; Martin, R.; Rodriguez-Fonseca, B.; Ruiz-Ramos, M. |
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Title |
Influence of climate variability on the potential forage production of a mown permanent grassland in the French Massif Central |
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Journal Article |
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Year |
2020 |
Publication |
Agricultural and Forest Meteorology |
Abbreviated Journal |
Agricultural and Forest Meteorology |
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280 |
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107768 |
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Keywords |
climate variability; grasslands; potential yield; climate services; forage production forecasts; french massif central; pasture simulation-model; dry-matter production; atmospheric; circulation; crop yield; SST anomalies; maize yield; managed grasslands; storm track; ENSO; impacts |
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Abstract |
Climate Services (CS) provide support to decision makers across socio-economic sectors. In the agricultural sector, one of the most important CS applications is to provide timely and accurate yield forecasts based on climate prediction. In this study, the Pasture Simulation model (PaSim) was used to simulate, for the period 1959–2015, the forage production of a mown grassland system (Laqueuille, Massif Central of France) under different management conditions, with meteorological inputs extracted from the SAFRAN atmospheric database. The aim was to generate purely climate-dependent timeseries of optimal forage production, a variable that was maximized by brighter and warmer weather conditions at the grassland. A long-term increase was observed in simulated forage yield, with the 1995–2015 average being 29% higher than the 1959–1979 average. Such increase seems consistent with observed rising trends in temperature and CO2, and multi-decadal changes in incident solar radiation. At interannual timescales, sea surface temperature anomalies of the Mediterranean (MED), Tropical North Atlantic (TNA), equatorial Pacific (El Niño Southern Oscillation) and the North Atlantic Oscillation (NAO) index were found robustly correlated with annual forage yield values. Relying only on climatic predictors, we developed a stepwise statistical multi-regression model with leave-one-out cross-validation. Under specific management conditions (e.g., three annual cuts) and from one to five months in advance, the generated model successfully provided a p-value<0.01 in correlation (t-test), a root mean square error percentage (%RMSE) of 14.6% and a 71.43% hit rate predicting above/below average years in terms of forage yield collection. This is the first modeling study on the possible role of large-scale oceanic–atmospheric teleconnections in driving forage production in Europe. As such, it provides a useful springboard to implement a grassland seasonal forecasting system in this continent. |
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2020-06-08 |
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LiveM, ft_macsur |
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MA @ admin @ |
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5233 |
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Rocca, A.; Bellocchi, G.; Giussani, A.; Sanna, M.; Perego, A.; Fumagalli, M.; Carozzi, M.; Chiodini, M.; Bregaglio, S.; Confalonieri, R.; Acutis, M. |
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Title |
Correlation between evaluation model indicators |
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2013 |
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CropM |
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XVI National congress of Agrometeorology. Firenze, Italy, 2013-06-04 to 2013-06-06 |
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MA @ admin @ |
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2748 |
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Saetnan, E.; Kipling, P.; Scollan, D.; Bartley, D.; Bellocchi, G.; Hutchings, J.; Dalgaard, T.; van den Pol-van Dasselaar, A. |
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Title |
MACSUR LiveM – a knowledge-hub for integrated modelling of climate change impacts on livestock production systems: lessons learned and future developments |
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2014 |
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Livestock, Climate Change and Food Security, Madrid, Spain, 2014-05-19 to 2014-05-20 |
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MA @ admin @ |
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2781 |
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Sanna, M.; Bellocchi, G.; Fumagalli, M.; Acutis, M. |
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Title |
Interrelationship and optimal choice of indicators to evaluate performance of agrometeorological models |
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MA @ admin @ |
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2790 |
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Perego, A.; Sanna, M.; Bellocchi, G.; Acutis |
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Title |
Simulazione di flussi di carbonio da ecosistemi pratensi: applicazione del modello colturale ARMOSA al sito di Laqueuille (Francia) |
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2014 |
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LiveM |
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XLIII Congress of the Italian Society for Agronomy, 2014-09-17 to 2014-09-19 |
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MA @ admin @ |
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2713 |
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