For some, it is sufficient to define "forest" or "swamp." Of course, this is not good enough for my labor of love.
There are existing (more or less accurate) models of vegetation and biome coverage that are very detailed, such as the Global 200 or Kuchler's classification. The problem is that these are often descriptive models rather than prescriptive. That is, if I can physically observe a location, I can classify it. But that is not what I need, since the place I'm trying to classify does not exist except in my mind.
The solution most worldbuilders take is to use one of the older prescriptive models, like Holdridge, Whittaker, or Koppen (I'll use vegetation cover and biome somewhat interchangeably here, despite the technical inaccuracy). Holdrige and Koppen are attractive in particular because their inputs are numbers (such as temperature, precipitation) that are available to me. Koppen is more of a strict climate classfication, while Holdridge speaks more to what sorts of vegetation you'd actually see with boots on the ground.
And here we start to see the problem with researching all these models. Given an area with grassland steppe, we can further classify those using the Laylock Classification. I'd like to avoid getting too much into the weeds (pardon the pun), but I'd like the option to add it into the system later if it will add useful detail.
Useful detail is the key. And understanding that boundary is crucial to not wasting time. I don't need to know that an area is classified as Kuchler #104, Appalachian oak forest. But is useful to know that this is the type of area where oak might be found.
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