44 Works

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

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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

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.

LevelDynamics_Matlab/Simulink_R2016b_sources

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

LevelDynamics_Scilab/Xcos_v602_sources.7z

Bio-economic model on weed control in cultivation of wheat: Herbicide free wheat production in Switzerland (HerbiFree)

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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...

Bio-economic model on benefits of increasing information accuracy in variable rate technologies

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This bio-economic modeling framework assesses the benefits of different sensor approaches to measuring environmental heterogeneity in the field, ranging from the use of satellite imagery to drones and portable N sensors, in variable rate fertilization. The model is described in detail in the following article: Späti, K., Huber, R., & Finger, R. (2021). Benefits of Increasing Information Accuracy in Variable Rate Technologies. Ecological Economics, 185, 107047.

Ensemble model of dispersed hnRNP A1

Based on the NMR structure of UP1 (PDB 2LYV), the glycine-rich domain (188-320) was modelled using 19 distance distribution restraints. The ensemble model was validated by jack-knife resampling.

Alpine Land-Use Allocation Model (ALUAM)

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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_Scilab/Xcos_v541_sources.7z

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

Registration Year

  • 2022
    4
  • 2021
    9
  • 2020
    11
  • 2019
    6
  • 2018
    10
  • 2017
    4

Resource Types

  • Model
    44