Scientific Software Project MPMAS

Status: abgeschlossen
Projektbeginn: 01.01.2005
Projektende: 31.12.2037
Projekt-Homepage: https://mp-mas.uni-hohenheim.de/
Schlagworte: sustainability

Beschreibung

MPMAS is a scientific software package for simulating land use change in agriculture and forestry. It combines economic models of farm household decision-making with a range of biophysical models simulating the crop yield response to changes in the crop water supply and changes in soil nutrients.

MPMAS is part of a family of models called multi-agent systems models of land-use/cover change (MAS/LUCC). These models couple a cellular component representing a physical landscape with an agent-based component representing land-use decision-making. MAS/LUCC models have been applied in a wide range of settings yet have in common that agents are autonomous decision-makers who interact and communicate and make decisions that can alter their environment.

Other MAS/LUCC applications have been implemented with software packages such as Cormas, NetLogo, RePast, and Swarm. The main difference between MPMAS and these alternative packages is the use of whole farm mathematical programming to simulate land-use decision-making. With this decision-making component MPMAS is firmly grounded in agricultural economics. MPMAS has been applied in a large number of empirical studies around the world. It is flexible in terms of the spatial extent that it can cover and has been used in small-scale as well as large-scale applications.

Beteiligte Personen

Beteiligte Einrichtungen

Weitere Informationen

MPMAS Homepage

Publikationen im Rahmen des Projekts

‘Smart’ policies to reduce pesticide use and avoid income trade-offs: An agent-based model applied to Thai agriculture
2017: Grovermann, C., Schreinemachers, P., Riwthong, S., Berger, T.
Knowledge-Brokering with Agent-Based Models: Some Experiences from Irrigation-Related Research in Chile
2010: Berger, T., Schilling, C., Troost, C., Latynskiy, E.
Agent-based modeling for ex ante assessment of tree crop innovations: Litchies in northern Thailand
2010: Schreinemachers, P., Potchanasin, C., Berger, T., Roygrong, S.
Agent-based land use models for collaborative learning about agri-environmental policies
2010: Berger, T., Schreinemachers, P.
Farm decisions under dynamic meteorology and the curse of complexity
2010: Arnold T., Uribe H., Troost C., Berger T.
An overview of computational modeling in agricultural and resource economics
2009: Nolan, J., Parker, D., Van Kooten, G. C., Berger, T.
The diffusion of greenhouse agriculture in northern Thailand: Combining econometrics and agent-based modeling
2009: Schreinemachers, P., Berger, T., Sirijinda, A., Praneetvatakul, S.
Step by step calibration of an integrated model system for irrigation management
2008: Arnold T., Berger T., Uribe H.
Multi-agent models for teaching, extension and collaborative learning
2008: Berger T., Schreinemachers P.
Simulating soil fertility and poverty dynamics in Uganda: A bio-economic multi-agent systems approach
2007: Schreinemachers, P., Berger, T., Aune, J. B.
Capturing the Complexity of Water Uses and Water Users within a Multi-Agent Framwork
2007: Berger, T., Birner, R., Díaz, J., McCarthy, N., Wittmer, H.
Creating Agents and Landscapes for Multiagent Systems from Random Samples
2006: Berger, T., Schreinemachers, P.
Multi-Agent Simulation for the Targeting of Development Policies in Less-Favored Areas
2006: Berger, T., Schreinemachers, P., Woelcke, J.
Tradeoffs, efficiency gains and technical change - Modeling water management and land use within a multiple-agent framework
2002: Berger, T., Ringler, C.
Irrigation Management in Chile: Integrated Modeling of Access to Water.
2010: Arnold, T., Uribe, H., Troost, C., Berger, T.
An agent-based simulation model of human-environment interactions in agricultural systems
2011: Schreinemachers, P., Berger, T.
Agricultural commercialization: Risk perceptions, risk management and the role of pesticides in Thailand
2017: Riwthong, S., Schreinemachers, P., Grovermann, C., Berger, T.,
Non-hazardous pesticide concentrations in surface waters: An integrated approach simulating application thresholds and resulting farm income effects
2016: Bannwarth, M. A., Grovermann, C., Ingwersen, J., Lamers, M. Berger, T., Streck, T.
Climate variability, food security and poverty: Agent-based assessment of policy options for farm households in Northern Ghana
2015: Wossen, T., Berger, T.
Climate, energy and environmental policies in agriculture: Simulating likely farmer responses in Southwest Germany
2015: Troost, C., Walter, T., Berger, T.
Quantifying the economic importance of irrigation water reuse in a Chilean watershed using an integrated agent-based model
2015: Arnold, R. T., Troost, C., Berger, T.
Dealing with uncertainty in agent-based simulation: Farm-level modeling of adaptation to climate change in Southwest Germany
2015: Troost, C., Berger, T.
Agent-based Modelling of Climate Adaptation and Mitigation Options in Agriculture
2014: Berger, T., Troost, C.
Assessment of policies for low-carbon agriculture by means of multi-agent simulation
2014: Latynskiy, E., Berger, T., Troost, C.
Climate variability, consumption risk and poverty in semi-arid Northern Ghana: Adaptation options for poor farm households
2014: Wossen, T., Berger, T., Swamikannuh, N., Ramilan, T.
Ex-ante assessment of soil conservation methods in the uplands of Vietnam: An agent-based modeling approach
2013: Quang, D. V., Schreinemachers, P., Berger, T.
A software coupling approach to assess low-cost soil conservation strategies for highland agriculture in Vietnam
2013: Marohn, C., Schreinemachers, P., Quang, D. V., Berger, T., Siripalangkanont, P., Nguyen, T. T., Cadisch, G.
Agent-based modeling of agricultural adaptation to climate change in a mountainous area of Southwest Germany
2012: Troost, C., Calberto, G., Berger, T., Ingwersen, J., Priesack, E., Warrach-Sagi, K., Walter, T.
Interpreting Outputs of a Landscape-Scale Coupled Social-Ecological System
2012: Marohn, C., Schreinemachers, P., Quang, D. V., Siripalangkanont, P., Hörhold, S., Berger, T., Cadisch, G.
Agent-based Modelling in the Agricultural Economics Tradition of Recursive Farm Modelling and Adaptive Micro-Systems
2012: Berger, T., Troost, C.
Agent-based spatial models applied to agriculture: A simulation tool for technology diffusion, resource use changes and policy analysis
2001: Berger, T.