When modeling the Earth system, scale is essential. One that have been used to analyze different processes and their scale dependence is fractals. Fractal geometry describes the roughness of objects in our surroundings. Most studies apllying fractal analysis are focusing on how a singel process scales and not the interactions with other processes. Here we will work on gathering data and empirical relationships that follow a fractal behavior, such as:
1) changes in soil water holding capacity due to disturbances (natural or anthropogenic)
2) stand dynamics and how competition affects biomass allocation
3) scaling down climate from grid cell to landscape elements.

The aims of this project is to:
*gather fractal relationships (fractal dimensions) from different scales and processes, both from literature and by new data analysis of e.g. remote sensing, plant trait data or existing experiments on how soil structure affects microbial activites.
*investigate how and if the fractal dimensions could be used to be modify the already existing power relationships in LPJ-GUESS, and more specifically if they can be described as a function of another process or time, and example of that could be how the soil returns to its original state after a distrubance such as plowing.
*do some inital implementations in LPJ-GUESS.

With the ultimate aim to investigate how incorporating more detailed representations of sub-grid cell interactions will affect the estimates of future carbon and nitrogen cycling from LPJ-GUESS.
Gällande start-/slutdatum2020/11/012021/12/31