- Courses Summer Term 2018
- Master of Agricultural and Food Economics (AFECO)
- Theodor-Brinkmann-Graduate School
- Modeling structural change and agricultural nutrient flows across scales in regions of North Rhine-Westphalia Gefördert durch das Ministerium für Klimaschutz, Umwelt, Landwirtschaft, Natur- und Verbraucherschutz des Landes Nordrhein-Westfalen im Rahmen des Lehr- und Forschungsschwerpunktes "Umweltverträgliche und Standortgerechte Landwirtschaft", 2016-2018
- Further projects
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FARMDYN - a dynamic mixed integer bio-economic farm scale model
FARMDYN provides a flexible, modular template to simulate different farming systems (dairy, mother cows, pig fattening, piglet production, arable farming, biogas plants) at single farm scale. Main characteristics of the model are:
- Fully dynamic, simulations typically cover several decades, alternatively comparative-static or short run version
- Integer variables capture indivisibilities in investments (machinery, buildings) and labour use
- Selected farm management decisions (e.g. feeding, manure management, labour use) depicted with a sub-annual temporal resolution, partially bi-weekly
- Deterministic or stochastic programming version. The latter treats all variables as state dependent, allows for sceneario tree reduction and covers different risk measures (value at risk, MOTAD ...)
- Farm labour, machinery and stable use are modelled in rich detail
- Arable cropping can be differentiated by tillage type and intensity Different intensities are also available for grassland management
- For dairy farming, the model distinguishes several herds by milk yield potential and lactation phase
- The machinery park is available in different mechanization levels
- Highly differentiated modules for nitrogen fate, while covering German legislation on fertilizer use
The model is currently parameterized for German conditions using highly detailed farm planning data provided by KTBL in combination with farm structural statistics. It offers a complementary approach to other farm scale models used in the institute such as the farm group models integrated in CAPRI or FADN based farm-scale progamming models which both are comparative-static, calibrated against observed farm programs with Positive Mathematical Programming while being far less detailed with regard to technology, and not comprising explicit investement decisions.
The model is realized in GAMS, solved with the industry MIP solver CPLEX, linked to a Graphical User Interface realized in GGIG and hosted on a Software Versioning System. Design of experiments, building on R routines directly called from GAMS, can be used in combination with farm structural statistics to systematically simulate different farm realizations (assets, farm branches) and boundary conditions such as input and output prices or emisisons ceilings using a computing server to solve several instances in parallel. That approach has e.g. been used to estimate a statistical meta model for Marginal Abatement Costs of Green House Gases from dairy farms. Code development and testing follows agreed upon guidelines.
The application and extension of FARMDYN is part of several ongoing research activities at ILR, in cooperation with international and national partners.
- The project "Modeling structural change and agricultural nutrient flows across scales in regions of North Rhine-Westphalia", financed by MKULNV (Ministry for environment and agriculture, state of North Rhine-Westphalia) aims at the analysis of nutrient exchanges between farms in regions of North Rhine-Westphalia based on the combination of FARMDYN with bio-physical and agent based modeling. The project is carried out by the chair of Production Economics and Resource and Environmental Economics at ILR and the Institute of Crop Science and Resource Conservation (2016-2018).
- In the project Understanding spatial interactions and structural change in the dairy production chain with a dynamic regional Agent Based Model covering dairy farms and dairy processing, financed by DFG, dual profit functions for different farming systems are estimated from FARMDYN simulations to source an Agent Based Model (2015-2018).
- Different plant protection strategies are implemented in FARMDYN in the context of the PhD thesis of Thomas Böcker (since 2016).
- The FARMDYN team in Bonn and a group at INRA, Clermont-Ferrand merge their detailed farm scale models. For FARMDYN, that will mean more detail for grass management and a better representation of beef cattle systems, as well as a parameterization for French conditions (since 2016).
The original model version was developed in the project "The relation between indicators for the crediting of emission rights and abatement costs - a systematic modeling approach for dairy farms", financed by the German Science Foundation and carried out by Karin Holm-Müller, Wolfgang Britz, Bernd Lengers and David Schäfer. In the context of the pdh-thesis of Johanna Budde, a first version of the pig module was developed (2012-2013).
The detailed model documentation is available as a Website and as printable PDF:
The documentation refers to a stable release of FARMDYN which represents a properly tested and documented version of the model (launched in September 2016, model revision 500):
Britz W., Lengers, B,. Kuhn, T. and Schäfer, D. (2014): A highly detailed template model for dynamic optimization of farms - FARMDYN, University of Bonn, Institute for Food and Resource Economics, Version September 2016, 147 pages.
FARMDYN contains several features that are currently developed (flagged in documentation as prototype) or not used anymore (flagged as deprecated). These features have not been subject to the intensive testing for the stable release. They are only visible in the developer mode of FARMDYN and listed here.
- Wolfgang Britz, overall model design, solution algorithm, interface, stochastic programming extension
- Till Kuhn, work on fertilization, related environmental indicators and regulations such as the German Fertilizer Directive
- David Schäfer, biogas module, improved pig module, link to ABM
- Thomas Böcker, plant protection strategies
- Bernd Lengers (2011-2014), main contributor of original model version, GHG indicators
- Johanna Budde (2012-2013), first version of pig module
Schäfer, D., Britz, W., Kuhn, T. (2017): Flexible Load of Existing Biogas Plants: A Viable Option to Reduce Environmental Externalities and to Provide Demand-driven Electricity?, German Journal of Agricultural Economics 66(2): 109-123, Link.
Lengers, B., Britz, W., Holm-Müller, K. (2014): What drives marginal abatement costs of greenhouse gases on dairy farms? A meta-modeling approach, Journal of Agricultural Economics 65(3): 579–599 , Link.
Lengers, B., Schiefler, I. & W. Büscher (2013): A comparison of emission calculations using different modeled indicators with 1-year online measurements. Journal of Environmental Monitoring and Assessment, 185:9751-9762. doi:10.1007/s10661-013-3288-y
Lengers, B., Britz, W. and Holm-Müller, K. (2013): Comparison of GHG-emission indicators for dairy farms with respect to induced abatement costs, accuracy and feasibility, Applied Economic Perspectives and Policy, 35(3):451-475. doi:10.1093/aepp/ppt013
Lengers, B. and Britz,
The choice of emission indicators in environmental policy design: an analysis of GHG abatement in different dairy farms based on a bio-economic model approach. Review of Agricultural and Environmental Studies, 93(2), 117-144.
Contributions to conferences and lecture series:
Kuhn, T., Schäfer, D., Britz, W. (2017): Estimating impacts of the revised German fertilizer ordinance on manure transport flows within North Rhine-Westphalia, poster presented at the EAAE XVth Congress, Parma (Italy).
Schäfer, D., Britz, W. (2017): Estimating impacts of the revised German fertilizer ordinance on manure transport flows within North Rhine-Westphalia, poster presented at the EAAE XVth Congress, Parma (Italy).
Seidel, C., Britz, W. (2017): Can we derive plausible land rents based on Mathematical Programming? A critical assessment of a dual profit function estimation from simulated farm programs, selected paper presented at the EAAE XVth Congress, Parma (Italy).
Schäfer, D., Seidel, C., Britz, W. (2016): Estimating Dual Profit Functions to Depict Farmer Behavior in Agent-Based Models – a Meta-Modelling Approach, poster presented at the 56th Annual Conference of the German Association of Agricultural Economists (GEWISOLA), Bonn, 28-30 September 2016.
Remble, A., Britz, W., Keeney, R. (2013): Farm Level Tradeoffs in the Regulation of Greenhouse Gas Emissions, selected paper presented at the Agricultural and Applied Economics Association, 2013 Annual Meeting, August 4-6, 2013, Washington, D.C (USA).
Lengers, B., Britz, W. & K. Holm-Müller (2013): What drives marginal abatement costs of greenhouse gases on dairy farms -a meta-modeling approach. Paper presented at the 2012 AURÖ-Workshop, Frankfurt (Oder), Germany, February 18-19.
Britz, W. and Lengers, B. (2012):
Abatement options for GHG emissions in a dynamic bio-economic model for dairy farms - DAIRYDYN -. Presentation contributed to the CIDRe lecture series “modeling across scales and disciplines”. University of Bonn, 09.10.2012, Bonn. Download
Lengers, B. and Britz, W. (2011):
Farm specific marginal abatement costs for dairy GHG emissions which base upon different emission indicators - a bio-economic model approach , selected paper presented at the 2011 EAAE PhD Workshop, April 27-29, 2011, Nitra (Slovak Republic)
Discussion and technical papers:
Lengers, B., Britz, W. and Holm-Müller, K. (2013): Trade-off of feasibility against accuracy and cost efficiency in choosing indicators for the abatement of GHG-emissions in dairy farming, Discussion Paper 2013: Download
Lengers, B.(2012): Construction of different GHG accounting schemes for approximation of dairy farm emissions. Technical paper referring to DFG-project HO 3780/2-1. Download
Lengers, B. (2012): Up to date relevant GHG abatement options in German agricultural dairy production systems. Technical Paper referring to DFG-project HO 3780/2-1. Institute for Food and Resource Economics, University of Bonn. Download
Lengers, B. (2011): GHG survey of German agriculture -specific view on dairy production systems. Technical paper referring to DFG-project HO 3780/2-1. Download
Last updated: Wednesday, June 13, 2018
- Open PhD Position (65% E 13 TV-L)
- New H2020 research project LIFT, 2018-2022
- Best Paper Award for Böcker, T., Britz, W. and Finger, R. (2017): "Modelling the Effects of a Ban of Glyphosate on Weed Management Strategies in Maize Production" at the GEWISOLA conference 2017
- New H2020 research project SUSTAINBEEF, 2017-2020
- Aus unserer Forschung: Effiziente Politikmassnahmen zur Foerderung von Kurzumtriebsplantagen
- Modelling heterogeneous firms and non-tariff measures in free trade agreements using Computable General Equilibrium (2018) Jafari, Y. and Britz, W. (2018: Modelling heterogeneous firms and non-tariff measures in free trade agreements using Computable General Equilibrium, Economic Modelling, available online 23th April 2018
- Policy analysis of perennial energy crop cultivation at the farm level: Short rotation coppice (SRC) in Germany (2018) Spiegel, A., Britz, W., Djanibekov, U., Finger, R. (2018: Policy analysis of perennial energy crop cultivation at the farm level: Short rotation coppice (SRC) in Germany, Biomass and Bioenergy 110, March 2018: 41-56
- Flexible Load of Existing Biogas Plants: A Viable Option to Reduce Environmental Externalities and to Provide Demand-driven Electricity? (2017) Schäfer, D., Britz, W., Kuhn, T. (2017): Flexible Load of Existing Biogas Plants: A Viable Option to Reduce Environmental Externalities and to Provide Demand-driven Electricity? , German Journal of Agricultural Economics 66(2): 109-123
- Climate change impacts on crop yields, land use and environment in response to crop sowing dates and thermal time requirements (2017) Zimmermann, A., Webber, H., Zhao, G., Ewert, F., Kros, H., Wolf, J., Britz, W., de Vries, W. (2017): Climate change impacts on crop yields, land use and environment in response to crop sowing dates and thermal time requirements , Agricultural Systems (online, print version forthcoming