Climate change is now affecting agriculture and food production in every country of the world. Here the authors present the IMPACT model results on yield, production, and net trade of major crops in China, and on daily calorie availability as an overall indicator of food security under climate...

Food security in China affects the livelihood and well-being of one-fifth of the world population. Climate change is now affecting agriculture and food production in every country of the world. Here the authors present the IMPACT model results on yield, production, and net trade of major crops...

This study aims to explore and quantify systematic similarities and differences between four major global cropping systems products: the dataset of monthly irrigated and rainfed crop areas around the year 2000 (MIRCA2000), the spatial production allocation model (SPAM), the global agroecological...

This paper presents an approach of combining biophysical, social, and economic factors for spatially explicit assessment of potential future risks of food insecurity at a global scale over the period of 2000--2020 under a certain scenario. In doing that, two indicators, namely per capita food...

We describe a new crop allocation model that adds further methodological and data enhancements to the available crop downscaling modeling. The model comprises the estimates of crop area, yield and production for 20 major crops under four rainfed and irrigated production systems across a global...

Understanding the complexity of agricultural systems requires insight into the human–environment interactions. In this paper we used survey data to analyze land system change and its relation to farmer’s attitudes in a typical agricultural region of Northeast China, focusing on land tenure,...

The Ni layers with good soft magnetic properties have been successfully electroless deposited on PZT layers. To study the thermodynamics and kinetics of electroless Ni-deposition, the effect of bath parameters such as pH and temperature has been discussed. The structural, magnetic and...

This paper uses semiparametric time-series methods to model the effects of weather variations on the output growth rate of the construction sector. The paper also employs structural time-series methods to model the cyclical paths of weather variables and uses this information to evaluate the...