Impact of meteorological drivers on regional inter-annual crop yield variability in France
By Andrej Ceglar, A. Toreti, R. Lecerf, M. van der Velde, F. Dentener. 2016
151 citations recorded by the source corpus.
Abstract The impact of intra-seasonal climate variability on inter-annual variation in winter wheat and grain maize yields over 92 French administrative regions is assessed. Observed monthly time series of temperature, precipitation and solar radiation during the growing season are analysed together with reported annual crop yields with a statistical approach based on partial least square regression. Results highlight remarkable spatial differences in the contribution of the main meteorological drivers to crop yield variability and in the timing of the maximum impact. Overall, temperature and global solar radiation are identified as the most important variables influencing grain maize yields over the southern, eastern and northern parts of France, while rainfall variability dominates yields over the central and north-western parts of the country. Positive rainfall anomalies during the summer months lead to an increase in maize yields, while positive temperature and radiation anomalies have the opposite effect. Extensive irrigation suppresses the rainfall signal in dry years. Winter wheat yields are predominantly influenced by temperature variations in eastern France and by rainfall variations over the northern, north-western and south-eastern France. In general, variation in global radiation plays a more important role in the southern than in the northern part of the country. Our study contributes to a better understanding of the impact of intra-seasonal climate variability on crop yields. Potential applications of the inferred models are discussed, especially in terms of seasonal crop yield forecasting and validation of dynamic crop model simulations.
Subfields: Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Plant Science
View Paper: https://www.semanticscholar.org/paper/3ff769ccc7b368ac4effffc4fff387dfb4dae86d
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In Ecology, Evolution, Behavior and Systematics
In Plant Science
Citations in the corpus
- Food waste drivers in Europe, from identification to possible interventions (2016, background): “This is a major S2 FW driver for all highly perishable food items [1,4,9,42,54,58,61,107].”
- Wheat yield loss attributable to heat waves, drought and water excess at the global, national and subnational scales (2017, background): “Mediterranean France is more sensitive to drought while the northern part results to be more sensitive to water excess (consistently with Ceglar et al 2016).”