Timely assessment of crop growth conditions under heavy metal pollution is of great significance for agricultural decision-making and estimation of crop productivity. The object of this study is to assess the effects of heavy metal stress on physiological functions of rice through the spatial-temporal analysis of the fraction of absorbed photosynthetically active radiation (FAPAR). The calculat...

Hydrologic climate change modelling is hampered by climate-dependent model parameterizations. To reduce this dependency, we extended the regional hydrologic modelling framework SIMGRO to host a two-way coupling between the soil moisture model MetaSWAP and the crop growth simulation model WOFOST, accounting for ecohydrologic feedbacks in terms of radiation fraction that reaches the soil, crop co...

Floods and droughts are the events that most threaten crop production; however, impact of floods on crops is still not fully understood often under-reported. Nowadays, multiple sources information approaches support estimation agricultural losses due to floods. This study aims understand differences in loss estimates provided by two conceptually different (crop models expert-based models), eval...

Against a background of unprecedented climate change, humanity faces the challenge how to increase global food production without compromising natural environment. Crop suitability models can indicate best locations grow different crops and, in doing so, support efficient use land leave space for, or share with, nature. However, challenges downscaling data needed drive these make predictions fo...