17 Works

Bio-economic model on weed control in maize production (version II)

Thomas G. Böcker, Wolfgang Britz, Niklas Möhring & Robert Finger
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...

ROMS+NPZD model data: turbulent and mesoscale contribution to the transport of organic carbon in the Canary Upwelling System

Elisa Lovecchio
NetCDF files containing the data produced by the model ROMS+NPZD using the Atlantic telescopic grid. Files contain: the results of the Reynolds decmposition fo the 3D organic carbon fluxes into mean and turbulent fluxes, the results of the structure-based eddy and filament decomposition of the3D organic carbon fluxes, the 2-day mean output of the total organic carbon concentration and its turbulent deviation from the mean and of SST and SSH.

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...

A real-option farm-level model on investment in perennial energy crops under risk considerations

Alisa Spiegel, Wolfgang Britz & Robert Finger
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...

Alpine Land-Use Allocation Model (ALUAM)

Robert Huber, Sibyl H. Brunner, Simon Peter & Simon Briner
The Alpine Land-Use Allocation Model (ALUAM) is a spatially explicit, agent-based land-use model. The model is calibrated and validated for the Visp region, an inner-alpine mountain area in Switzerland. ALUAM had been used in various scientific case studies addressing climate change, ecosystem service provision and policy evaluation.

LevelDynamics_Matlab/Simulink_R2016b_sources

Adolf Hermann Glattfelder
Models used in 'Free Surface Water Flows - Modeling, Simulation and Control' developed in Matlab/Simulink R2016b.

LevelDynamics_Scilab/Xcos_v541_sources.7z

Adolf Hermann Glattfelder
Source files of models used in ' Free Surface Water Flow - Modeling, Simulation and Control ' developed in Scilab/Xcos v. 5.4.1

Bio-economic model on weed management in maize production

Thomas Böcker, Wolfgang Britz & Robert Finger
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 is described in detail in the following article: Böcker, T., Britz, W., Finger, R. (2017). Modelling the effects of a glyphosate ban on weed management in silage maize production. Ecological Economic.

Registration Year

  • 2017
    4
  • 2018
    10
  • 2019
    3

Resource Types

  • Model
    17

Data Centers

  • ETH Zürich Research Collection
    17