Florian Zabel

TL;DR: A fuzzy logic approach was applied to compute global agricultural suitability to grow the 16 most important food and energy crops according to the climatic, soil and topographic conditions at a spatial resolution of 30 arc seconds, showing that climate change will expand suitable cropland by additionally 5.6 million km2, particularly in the Northern high latitudes.

TL;DR: The results suggest that production gains will occur at the costs of biodiversity predominantly in developing tropical regions, while Europe and North America benefit from lower world market prices without putting their own biodiversity at risk.

TL;DR: This article reported new twenty-first-century projections using ensembles of latest-generation crop and climate models, which suggest markedly more pessimistic yield responses for maize, soybean and rice compared to the original ensemble.

TL;DR: Today's global biomass potentials substantially exceed previous estimates and even 2050s' demands, thanks to increasing cropping intensities and the spatial reallocation of crops to their profit-maximizing locations.

TL;DR: In this paper, the authors proposed a multiple decision tree-based approach to test an existing irrigation map based on statistical data and extend the irrigated area using ancillary data, and the results showed that the additional areas are mainly identified within already known irrigated regions where irrigation is more dense than previously estimated.