Local adaptation in a warming world: implications of host heterogeneity on the spread of pathogens

Populations vary in how they perceive and tolerate temperature. We can often predict how a population will respond to temperature by its location relative to the equator. However, these signals may be unreliable when exposed to variable environments or future warming. Here I test how robust these signals are to change, and consequently if we can use them for predicting at risk populations. I then attempt to integrate these signals into models that predict how disease will spread under future conditions of warming.