User:Felix Nößler/sandbox

= Grassland models = Grassland models are mathematical or statistical models that simulate the dynamics of grasslands. These scientific models are used to predict dynamics and analyse management options.

time steps: daily, monthly, yearly

spatial resolution

Include biomass dynamics of the plants species, soil water, soil nutrients for example soil nitrogen, soil carbon ...

link functions can be used to link functional traits to demographic processes of the plant species.

Types
Empirical, process-based and integrated grassland models are differentiated by.

Empirical models
empirical models, these are statistical models including predict biomass with satellite images (remote sensing technologies)

Process-based models
process-based models, these are dynamic models, models originated from different subdiciplines including ecology,

individuals based model eg grassmind

biogeochemistry (e.g. dynamical global vegetation models often have a submodule for managed grasslands) and agriculture

Integrated models with human decisions
integrated models that include human decisions with human agents

empirical, process-based models (ecological, biogeochemical and agricultural) and process-based models that include human agents.

Application
Grassland models are used to predict dynamics under different climate conditions