Simulation of species-rich grasslands with GRASSMIND
GRASSMIND is an individual- and process-based model designed for simulating the structure and dynamcis of herbaceous communities including:
- competition between individual plants for light, space, soil water and nitrogen
- different management regimes (mowing, irrigation, fertilization)
- climatic changes (drought events, increased temperatures, etc.)
Grasslands have been received increasing attention with the rise of several biodiversity experiments. In such experiments, ecosystem functions like productivity and carbon storage often increased as species-richness raised. On the other hand, some experimental sites show opposite effects.
In order to examine differently emerging relationships between species diversty and ecosystem functions in grasslands, we developed the process-based and individual-oriented grassland model GRASSMIND analogous to our forest model FORMIND. Therein, individual plants compete for light and space aboveground and for soil water and nitrogen belowground. For the latter, we coupled GRASSMIND with the soil model CANDY.