In Ross et al. (2016), experts from various academic fields assess some of the barriers that aid today’s denial and inaction combating climate change, even with overwhelming evidence from the scientific community. This hesitancy is traced back to a combination of cognitive shortcomings and the difficulty to work collectively on an issue so complex and seemingly indirect. However, the authors provide examples of strategies used to combat said inaction and their efficacy. Continue reading →
The movie Interstellar introduces the idea of food scarcity due to climate change as a valid fear. A modern dust bowl prevents farmers from cultivating essential, staple crops. Famine has become more common around the world in recent years, but areas with advanced infrastructure are more adept at handling tough conditions. In Sub-Saharan Africa, one of the least developed areas of the world, changes in aggregate production will put residents in danger. A recent paper by Wolfram Schlenker (2010) looked to see if the current state of African agriculture is as deprived as predicted. The researchers discovered that the environment in Sub-Saharan Africa is becoming worse every year. Without the proper care, it will become harder to produce copious crops, if any.
Maize (corn) production continues to be a very important source of food, feed, and fuel all around the world, but climate change has raised the concern about being able to maintain the yield rates. A negative relationship between extremely high temperatures (above 30˚C) and yield has already been observed in various regions. Previous studies have not been able to demonstrate which mechanism causes the correlation between extreme temperatures and yield, thus it is possible that the relationship reflects the influence of another variable, such as precipitation rates. There are other possible explanations for the observed relationships. This study explores the mechanisms used in other studies that document the importance of extreme heat on rainfed maize using the process-based Agricultural Production Systems Simulator (APSIM). The study asks three main questions: can APSIM reproduce the empirical relationships—what farmers are seeing on the ground?; if so, what does APSIM imply are the key processes that give rise to these relationships?; how much are these relationships affected by changes in atmospheric CO2? Continue reading →