Henrik Eckersten

TL;DR: In this paper, the authors presented a general picture of agroclimatic conditions in western and central Europe (study area lays between 8.5°W−27°E and 37°63°N), which allows for a more general assessment of climate-change impacts.

TL;DR: The relative mean absolute error (rMAE) of most models using aggregated soil data was in the range or larger than the inter-annual or inter-model variability in yields, and distinct error patterns indicate that the rMAE may be estimated from few soil variables.

TL;DR: In this paper, the coincidence of yield variations with weather variables for major field crops using long-term datasets and reveal whether there are commonalities across the European agricultural regions was investigated.

TL;DR: This analysis incorporates consideration of the following set of questions for a particular host, pathogen, host–pathogen combination, or geographic region, which can support evaluation of the level of model complexity likely to be required for analysing climate-change impacts mediated by disease.

TL;DR: In this paper, the authors used a country-by-country, bottom-up approach to establish statistical estimates of actual grain yield, and compare these to modelled estimates of potential yields for either irrigated or rainfed conditions.