landfire

[IJBG]

• [x] remove forest filter
• [x] add the shrubs to converted landtypes
• [x] want % of land that's in the 106->109 categories (early successional)
• [x] Clip the 2001 -> 2014 intermediate data to just NC and then resave, right now that file is CONUS
• [ ] Add in the 2001 -> 2014 intermediate data.
• [ ] for the model (ie: in the modeling code) - interporlate between missing years. except for 1999/2000, those can just get the 2001 value.

One other way we discussed, but have decided not to implement right now, is to get the dif of pixel heights from 2022-2001 for those pixels that fall into 106-109 in 2001. Rather than dividing by pixels, we would sum the pixel height differences for those pixels across the route/routequarter. This is because we want both how extensive and how much session.

When thinking about modeling, rather than putting all landcover types in one model ie (percent urbanized + percent early sucessional + percent forest) - we can compete models with one explanatoryu variable against each other and look at what component of landcover is the best explanier for each species (and then relate that to UAI/forest association/early successional association)

[IJBG]

Include all shrub in % converted landtype. Taking a pause on this for a bit, need to consult about data utility and will then return