First - I know this post has insufficient detail for someone to answer my question directly but wanted to initiate a conversation and see what information might be most useful.
I’ve been working with the HRA on a large study area of coastal wetlands in the Great Lakes. The model works as expected given the stressor inputs we have. The stressors are: 1) location of agricultural land; 2) location of developed land; 3) location of roads; 4) location of public access sites.
We are trying to develop hypothetical scenarios to evaluate the impact of land cover (and other) changes on coastal wetlands. Two of these scenarios are increased agricultural land extent and increased developed land extent. This is where the HRA outputs are confusing - the results for the “baseline” and “scenario” runs are identical even as a float data type.
To create the scenarios I artificially modified the land cover dataset to have more of those land cover types. When looking at the input datasets they are clearly not identical