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Bio-economic model on weed control in cultivation of wheat
(2018)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 ...Model -
LevelDynamics_Matlab/Simulink_R2016b_sources
(2017)Models used in 'Free Surface Water Flows - Modeling, Simulation and Control' developed in Matlab/Simulink R2016b.Model -
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LevelDynamics_Scilab/Xcos_v541_sources.7z
(2017)Source files of models used in ' Free Surface Water Flow - Modeling, Simulation and Control ' developed in Scilab/Xcos v. 5.4.1Model -
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Alpine Land-Use Allocation Model (ALUAM)
(2017)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.Model -
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Bio-economic model on weed management in maize production
(2017)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.Model