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 zone (GAEZ) dataset, and the M3 dataset developed by Monfreda, Ramankutty, and Foley. The analysis explores not only the final cropping systems maps but also the interdependencies of each product, methodological differences, and modeling assumptions, which will provide users with information vital for discerning between datasets in selecting a product appropriate for each intended application.

Weather shocks and natural disasters, it has been argued, represent a major threat to national and international security. Our paper contributes to the emerging micro-level strand of the literature on the link between local variations in weather shocks and conflict by focusing on a pixel-level analysis for North and South Sudan at different geographical and time scales between 1997 and 2009. Temperature anomalies are found to strongly affect the risk of conflict. In the future the risk is expected to magnify in a range of 21 to 30 percent under a median scenario, taking into account uncertainties in both the climate projection and the estimate of the response of violence to temperature variations. Extreme temperature shocks are found to strongly affect the likelihood of violence as well, but the predictive power is hindered by substantial uncertainty. Our paper also sheds light on the vulnerability of areas with particular biophysical characteristics or with vulnerable populations.