I am running the HQ model to observe the degradation of two types of crops corn and hay. I ran the model for each crop and then ran the model with both plants together. I observed that the degradation of corn was higher than that of both corn and hay combined. I wanted to know how does the algorithm account for the interaction between two or more threats.
Specifically, how does the model account for the degradation and the interactions between the threats based on the pixels of the input map data? For instance, an input map from the Crop Data Layer which provides LULC maps with pixel sizes of 30 x 30m. Does the model account for the degradation that one pixel of a particular threat has on each surrounding pixel of the same threat? In what way is this considered?
I am trying to get a better understanding of the pixel interactions within the model. Specifically, how does a single pixel of a threat affect the surrounding pixels? I ask this because I am curious if the degradation is being double-counted.