Crop models are essential tools for analysing the effects of climate variability, change on
crop growth and development and the potential impact of adaptation strategies. Despite their …

Process-based models are valuable tools for simulating crop production, estimating
agronomic efficiency and developing optimum management practices to achieve …

Maize (Zea mays L.) production in Northeast China is vulnerable to climate change. Thus,
exploring future adaptation measures for maize is crucial to developing sustainable …

Accurately predicting the impacts of higher temperatures, different precipitation rates and
elevated CO 2 concentrations on crop yields and GHG emissions is required in order to …

The impact of climate change on agricultural systems is a major concern as it can have a
significant effect on the world food supply. The objective of this study was to evaluate climate …

Although widely studied in grassland and forest ecosystems, dissolved organic nitrogen
(DON), an important form of nitrogen (N) lost through leaching, has received little attention in …

Statistical emulation allows combining advantageous features of statistical and process-
based crop models for understanding the effects of future climate changes on crop yields …

Optimized fertilization is an effective strategy for improving nitrogen (N) use efficiency and
maintaining high crop yield, but its long-term impacts on soil organic carbon (C) and …

One challenge in precision nitrogen (N) management is the uncertainty in future weather
conditions at the time of decision-making. Crop growth models require a full season of …

Linked hydro-agronomic modeling systems are often used to evaluate the impact of climate
change or management strategies on both groundwater and crop yield. However, these …