The bio-economic model calculates optimal weed control strategies for cultivation of silage maize in North-Rhine-Westphalia and can be used to simulate agri-environmental policy scenarios such as a glyphosate ban. The model can be used to assess changes in the Energy Output and the Load of the used pesticides under different scenarios. The model is described in detail in the following article: Böcker, T., Britz, W., Möhring, N., Finger, R. (2019). "An economic and environmental assessment...
Regional Ocean Modeling System (ROMS) + Biogeochemical Elemental Cycling (BEC) model
LPL Linear Programming Language, CPLEX solver
ROMS+NPZD model data: turbulent and mesoscale contribution to the transport of organic carbon in the Canary Upwelling SystemElisa Lovecchio
Model data produced using the Regional Ocean Modeling System (ROMS) coupled to the Nutrient Phytoplankton Zooplankton Detritus (NPZD) model. The coupled model was run on an Atlantic telescopic grid. The data refer to 24 years (years 30-53) of the simulation, while years 1-29 are not included (spinup). Additional details on the simulation and the Reynolds as well as the Eddy and FIlament flux decompositions can be found in the paper: https://www.biogeosciences-discuss.net/bg-2018-54/
Supplementary data 3D Traction Force Microscopy: Additional datasets for the 3D Traction Force Microscopy Simulation and Evaluation PlatformClaude Nicolas Holenstein
ANSYS Inc.; MATLAB
Bio-economic model on weed control in cultivation of wheat: Herbicide free wheat production in Switzerland (HerbiFree)Thomas Böcker & Robert Finger
Strategies to prevent and control pest pressure are required to efficiently produce high quality food products. However, the use of pesticides is associated with potential risks to humans and the environment, motivating policy actions in Switzerland and other European countries. Especially the widespread use of herbicides is increasingly criticised. The goal of this work to investigate the implications of a ban or a voluntary removal of i) specific pesticides (such as glyphosate) as well as...
The stochastic dynamic optimization model documented in here simulates decisions of an arable farm with respect to long-term investment based on a compound American option. The implemented application is an investment in short-rotation coppice (SRC). SRC uses fast-growing trees that, once they are set-up, are coppiced several times and finally cleared-up. Time and scale of SRC introduction, intermediate harvest quantities, and final reconversion are flexible and constitute decision variables along with cropping shares for competing...
The model is written in GAMS
Source files of models used in ' Free Surface Water Flow - Modeling, Simulation and Control ' developed in Scilab/Xcos v. 5.4.1