Find the EGU on

Tag your tweets with #EGU17

SSS11.4/BG9.41/NP10.5

Complexity and non-linearity in soils (co-organized)
Convener: Ana Maria Tarquis  | Co-Conveners: Conrad Jackisch , Jan Vanderborght , John Koestel , Dani Or , Ute Wollschläger , Eckart Priesack , Diederik Jacques 
Orals
 / Thu, 27 Apr, 08:30–12:15
Posters
 / Attendance Mon, 24 Apr, 17:30–19:00

Soil is not only a vital source for vegetation, but also a hydrologic cycle zone in which numerous biological, physical and chemical interactions occur among the mineral material of the original and deformed rocks, soil life (micro-organisms, plants, animals), and climate (water, air, temperature) at different scales. These various processes and mechanisms, associated with soil formation and genesis, distinct soils very dynamic and highly complex, creating multi-scales of structure. Soil complexity can thus be observed at different physical levels (i.e.,pore and field scales), biological levels (i.e., oxidable organic matter availability, population distribution, etc.), interaction levels (i.e. mineral paths between compartments, etc.), or evolutionary levels (short-term variations on water availability, long term erosion, etc.).
In this session, we invite contributions related to the modelling and quantifying aspects, which improve our understanding of those systems and mechanisms linked with. In particular, we encourage studies applying integrated, cross-disciplinary approaches, whether based on either statistical/theoretical techniques –which allow scaling analysis– or fully formulated physical-biogeochemical models. The potential topics include, but are not limited to: statistical learning, data mining, time series analysis, network analysis, cellular automata, fractal/multifractals, wavelets, genetic algorithms, graph theory, effective-medium approximation, lattice-Boltzmann method, and percolation theory.

A solicited presentation will be given by C. Chierubini et al. on Soil Fractal Percolation

Public information: Combining monitoring, data analysis and modelling towards understanding of complex processes in soils.

Soil systems comprise a multitude of processes across scales and disciplines. Numerous biological, physical and chemical interactions occur among the mineral material, soil organisms, and meteorological conditions at different scales. These processes also determine soils as very dynamic and highly complex systems.


Soil complexity can thus be observed at different physical levels (i.e., pore scale physics, field scale organisation), biological levels (i.e., oxidable organic matter availability, population distribution, etc.), interaction levels (i.e. mineral paths between compartments, etc.), or evolutionary levels (short-term variations in water availability, long-term erosion, etc.). In this session, we invite contributions related to system monitoring and modelling, data processing and system understanding. In particular, we encourage studies applying integrated, cross-disciplinary and cross-scale approaches, whether based on statistical techniques, theoretical conceptualisation or novel physical-biogeochemical models.