Plant Community Subsystem

The Plant Community Subsystem interface generates data for the plant growth simulation. There are a number of ways to use the plant growth simulation, from modeling an aggregate community to species by species growth modeling.
Aggregate Community Model
An aggregate community model would be expressed as the entire plant community functional group growing at 100% of maximum expression. This would be appropriate if the entire site had similar values for the functional group characteristics of each species, e.g. if there were 5 or 6 different warm season grasses on the site, with very similar growth traits (base growth temperature, turnover etc.) then an aggregate functional group may be appropriate (this is the way Phygrow 1.0 and 1.2 worked.) An aggregate community model would fall short of requirements if the results were to be used for forage by a nutritional model that needed to know how much of each species there were. An aggregate community model would probably fail for dissimlar growth forms, e.g. a site with 50% warm season grasses and 50% cool season grasses could be simulated as an aggregate community of temperate weather grasses, but at the time between cool season and warm season the model would simulate a healthy standing crop with deep roots, rather than a dying crop of cool season grasses with deep roots (that could reach water but not start new growth due to temperature stress) and a new crop of warm season grasses with shallow roots.
Functional Group Modeling
Functional group modeling provides the granularity to model groups of species with similar growth forms as a unit. An advantage this has over aggregate modeling is that each functional group can have a different reaction to climate changes and stresses. Functional group models have the disadvantage of being site specifc, and lager parameterization requirments (Parameterize x functional groups raater than one aggregate.)
Species Level Modeling
Species level modeling will provide the most accuracy for various plant/climate response, and if well parameterized, allow for easy transition to other communities that contain the same species. Species level modeling provides the best breakdown of what a plant inventory should look like for a site. Species level models need the greatest level of parameterization.
Species/Group Modeling
The recommended approach will be to use a combination of species level modeling and functional group modeling. For any species that comprises 10% or more of the site production, it is probably well worth the time it would take to model it, while species at less than 10% should be grouped into an "other" class or functional group.

Community Editor

Functional Group Editor