Vulnerability mapping is a field of increasing importance as we search for an ecologically and economically sustainable climate-smart land-use system, which is necessary for the development of green infrastructure and agriculture. Vulnerability mapping is a growing field with increasing importance in developing an ecologically and economically sustainable climate-smart land-use system, which may serve the advancement of green infrastructure and agricultural production. The transformation of the climatic regime has an undeniable impact on plant production, but we rarely have long enough data series to scrutinize the unfolding effects of the microregional patterns of the global climate-cereal yield relationship. To fill this gap, three regions of the Northern Hemisphere under continental climate will be analysed, which represent key landscapes concerning global food production and security, contributing to a multi-way knowledge transfer through training, teaching, and different form of communication activities. The relationship between climate indices, maize, and wheat yields will be analyzed applying high geographical resolution data from Northern China, Hungary, and northern states of the US Midwest at a landscape scale by Köppen-Geiger zones using linear, local, and spatial regression and bootstrap resampling tests and developed data visualization techniques. This offers a unique opportunity to comparatively analyze the differences in climate-cereal yield associations by landscape types and regions. The expected results will provide highly supportive factors for planning and managing an ecologically and economically sustainable land-use system.
