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Previous research has shown that we believe more in the reality of climate change when we experience warmer-than-usual temperatures. This reflects a psychological process in which easily accessible information from personal weather experiences is used as a heuristic to form climate opinions. This paper replicates and extends upon a research design and results of Egan and Mullin to provide the first systematic European study of the Local Warming Effect. Based on data from 12 European countries, the analysis shows that when objective temperatures increase by two standard deviations (5 °C) relative to normal temperatures, climate opinions are strengthened by around 0.5–1.0 percentage points – comparable to the effect of a full step to the left on a 0–10 political ideology scale. [ABSTRACT FROM AUTHOR]

Climate change is anticipated to affect European agriculture, including the risk of emerging or re-emerging feed and food hazards. Indirectly, climate change may influence such hazards (e.g. the occurrence of mycotoxins) due to geographic shifts in the distribution of major cereal cropping systems and the consequences this may have for crop rotations. This paper analyses the impact of climate on cropping shares of maize, oat and wheat on a 50-km square grid across Europe (45–65°N) and provides model-based estimates of the changes in cropping shares in response to changes in temperature and precipitation as projected for the time period around 2040 by two regional climate models (RCM) with a moderate and a strong climate change signal, respectively. The projected cropping shares are based on the output from the two RCMs and on algorithms derived for the relation between meteorological data and observed cropping shares of maize, oat and wheat. The observed cropping shares show a south-to-north gradient, where maize had its maximum at 45–55°N, oat had its maximum at 55–65°N, and wheat was more evenly distributed along the latitudes in Europe. Under the projected climate changes, there was a general increase in maize cropping shares, whereas for oat no areas showed distinct increases. For wheat, the projected changes indicated a tendency towards higher cropping shares in the northern parts and lower cropping shares in the southern parts of the study area. The present modelling approach represents a simplification of factors determining the distribution of cereal crops, and also some uncertainties in the data basis were apparent. A promising way of future model improvement could be through a systematic analysis and inclusion of other variables, such as key soil properties and socio-economic conditions, influencing the comparative advantages of specific crops. [ABSTRACT FROM PUBLISHER]