- Arnold, R. T., Troost, C. & Berger, T. (2015). Quantifying the economic importance of irrigation water reuse in a Chilean watershed using an integrated agent-based model, Water Resources Research, 51: 648-66.
- Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press, Princeton, 248p.
- Bannwarth, M., Grovermann, C., Schreinemachers, P., Ingwersen, J., Lamers, M., Berger, T. & Streck, T. (2016). Non-hazardous pesticide concentrations in surface waters: An integrated approach simulating application thresholds and resulting farm income effects. Journal of Environmental Management, 165: 298 - 312.
- Becu, N., Perez, P., Walker, B., Barreteau, O. & Page, C. L. (2003). Agent-based simulation of a small catchment water management in northern Thailand. Description of the Cath scape model, Ecological Modeling, 170: 319-331.
- Belcher, K. W., Boehm, M. M. & Fulton, M. E. (2004). Agro-ecosystem sustainability: a system simulation model approach. Agricultural Systems, 79 (2): 225-241.
- Berger, T., (2001). Agent-based Spatial Models Applied to Agriculture: A simulation tool for technology diffusion, resource use changes and policy analysis. Agricultural Economics 25: 245-260.
- Berger, T., Troost, C., Wossen, T., Latynskiy, E., Tesfaye, K., & Gbegbelegbe, S., (2017). Can smallholder farmers adapt to climate variability, and how effective are policy interventions? Agent-based simulation results for Ethiopia. Agricultural Economics, 48: 693-706.
- Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems, National Academy of Science, 99: 7280-7287.
- Casti, J. L. (1997). Would-be worlds: How Simulation is Changing the Frontiers of Science. John Wiley and Sons Inc., New York, 242p.
- Clarke, D., Smith, M., & El-Askari, K. (1998). CropWat for Windows: User Guide, Southampton University Press, Cairo, 43p.
- Conte, R., Hegselmann, R., & Terna, P. (1997). Simulation Social Phenomena. American Behavioral Scientist, 42 (10): 1485-1487.
- Crooks, A., Castle, C. and Batty, M. (2008). Key challenges in agent-based modeling for geo-spatial Simulation. Computers, Environment and Urban Systems, 32: 417-430.
- Epstein, J. M. & Axtell, R. L. (1996). Growing Artificial Societies: Social Science from the Bottom Up, MIT Press, Cambridge, 208p.
- FAO, (1994). Integrated Approach to the planning and management of Land Resources. Report of the UN Secretary-General on the Implementation of chapter 10 of Agenda 21 (UNCED) to the Commission on Sustainable Development, Third edition, FAO/AGL, 28 November 1994, Rome.
- FAO, (2013). Statistical Yearbook 2012, Rome: FAO.
- Happe, K., Schnicke, H., Sahrbacher, C. & Kellermann, K. (2009). Will they stay or will they go? Simulating the dynamics of single-holder farms in a dualistic farm structure in Slovakia, Agricultural Economics, 57 (4): 497-511.
- Hazell, P. B. R. & Norton, R. D., (1986). Mathematical Programming for Economic Analysis in Agriculture. MacMillan Publishing Company, New York, 600p.
- Henseler, M., Wirsig, A., Herrmann, S., Krimly, T. & Dabbert, S. (2009). Modeling the impact of global change on regional agricultural land use through an activity-based nonlinear programming approach, Agricultural Systems, 100 (13): 31-42.
- Holden, S. & Shiferaw, B. (2004). Land degradation, drought and food security in a less favored area in the Ethiopian highlands: a bio-economic model with market imperfections, Agricultural Economics, 30 (1): 31-49.
- Jennings, N. R. (2000). On agent-based software engineering. Artificial Intelligence, 117: 277-296.
- Krol, M. S. & Bronstert, A. (2007). Regional integrated modeling of climate change impacts on natural resources and resource usage in semi-arid Northeast Brazil, Environmental Modeling and Software, 22 (2): 259-268.
- Kuyvenhoven, A., Ruben, R. & Kruseman, G. (1998). Technology, market policies and institutional reform for sustainable land use in southern Mali. Agricultural Economics, 19: 53-62.
- Lambin, E. F. (1997). Modeling and monitoring land-cover change processes in tropical regions, Progress in Physical Geography, 21(3): 375-393.
- Le, Q. B., Park, S. J., Vlek, P. L. G. & Cremers, A. B. (2008). Land-Use Dynamic Simulator (LUDAS): a multi-agent system model for simulating spatio-temporal dynamics of coupled human-landscape system. I. Structure and theoretical specification, Ecological Informatics, 3 (2): 135-153.
- Letcher, R. A., Croke, B. F. W., Merritt, W. S. & Jakeman, A. J. (2006). An integrated modeling toolbox for water resources assessment and management in highland catchments: sensitivity analysis and testing. Agricultural Systems, 89 (1): 132-164.
- Lighmann-Zielinska, A. & Jankowski, P. (2010). Exploring normative scenarios of land use development decision with an agent-based simulation laboratory, Computers, Environment and Urban Systems, 34: 409-423.
- Maes, P. (1994). Modeling adaptive autonomous agents. Artificial Life, 1: 135-162.
- Malleson, N., Heppenstall A., & See, L. (2010). Crime reduction through simulation: An agent-based model of burglary, Computers, Environment and Urban Systems, 34: 236-250.
- Marohn, C., Schreinemachers, P., Quang, D. V., Berger, T., Siripalangkanont, P., Nguyen, T. T. & Cadisch, G. (2013). A software coupling approach to assess low-cost soil conservation strategies for highland agriculture in Vietnam, Environmental Modelling & Software, 45: 116 – 128.
- Matthews, R. (2006). The People and Landscape Model (PALM): towards full integration of human decision-making and biophysical simulation models, Ecological Modeling, 194 (4): 329-343.
- Parker D.C., Manson S. M., Janssen M. A., Hoffmann M. J. & Deadman P., (2003). Multi-agent systems for the simulation of land-use and land-cover change: a review, Annals of the association of American Geographers, 93(2): 314-337.
- Quang, D. V., Schreinemachers, P., & Berger, T., (2014). Ex-ante assessment of soil conservation methods in the uplands of Vietnam: An agent-based modeling approach, Agricultural Systems, 123: 108 – 119.
- Reidsma, P., Ewert, F., Lansink, A.O. & Leemans, R. (2010). Adaptation to climate change and climate variability in European agriculture: the importance of farm level responses, Agronomy, 32 (1): 91-102.
- Roetter, R.P., Berg, M.M., Laborte, A.G., Hengsdijk, H., Wolf, J., Ittersum, M.K. van, Keulen, H., Agustin, E.O., Son, T.T., Lai, N.X. & Guanghuo, W. (2007). Combining farm and regional level modeling for integrated resource management in East and South-east Asia, Environmental Modeling and Software, 22 (2): 149-157.
- Schreinemachers, P. & Berger, T. (2011). An agent-based simulation model of human environment interactions in agricultural systems, Environmental Modeling and Software, 26: 845-859.
- Schreinemachers, P., Berger, T. & Aune, J.B. (2007). Simulating soil fertility and poverty dynamics in Uganda: A bio-economic multi-agent systems approach, Ecological Economics, 64(2): 387-401.
- Schreinemachers, P., Berger, T., Sirijinda, A., & Praneetvatakul, S. (2009). The diffusion of greenhouse agriculture in northern Thailand: Combining econometrics and agent-based modeling, Agricultural Economics, 57(4): 513-536.
- Schreinemachers, P., Potchanasin, C., Berger, T. & Roygrong, S., (2010). Agent-based modeling for ex ante assessment of tree crop innovations: Litchis in northern Thailand, Agricultural Economics, 41: 519-536.
- Schreinemachers, P., Sirijinda, A., Potchanasin, C., Berger, T. & Praneetvatakul, S. (2009). An Agent-Based Land Use Model of the Mae Sa Watershed Area, Thailand. University of Hohenheim Press. Germany and Kasetsart University, Bangkok, 71p.
- Schuler, J., & Sattler. C. (2010). The estimation of agricultural policy effects on soil erosion-An application for the bio-economic model MODAM. Land Use Policy, 27(1): 61-69.
- Smith, M. (1992). CROPWAT, a computer program for irrigation planning and management, FAO Irrigation and Drainage, 46-101.
- Srbljinovic, A. & Skunca, O. (2004). An introduction to agent based modeling and simulation of social processes. Interdisciplinary Description of Complex Systems, 1 (2): 1-8.
- Stephenne, N., & Lambin, E. (2001). A dynamic simulation model of land-use changes in Sudano-sahelian countries of Africa (SALU). Agriculture, Ecosystems and Environment, 85(1): 145-161.
- The World Bank, (2010). World Development Report 2010: Development and Climate Change. Washington DC: The International Bank for Reconstruction and Development, the World Bank.
- Troost, C., Walter, T. & Berger, T. (2015). Climate, energy and environmental policies in agriculture: Simulating likely farmer responses in Southwest Germany, Land Use Policy 46: 50 - 64
- Turner, B.L., D. Skole, S. Sanderson, G. Fischer, L. Fresco & R. Leemans. (1995). Land-Use and Land-Cover Change. Science Research Plan, IGBP Report, 35 (7): 151-172.
- Valbuena, D., Verburg, P. H., Bregt, A. K., & Ligtenberg, A. (2010). An agent-based approach to model land-use change at a regional scale, Landscape Ecology, 25: 185-199.
- Van Oel, P. R., Krol, M.S., Hoekstra, A. Y. & Taddei, R. R. (2010). Feedback mechanisms between water availability and water use in a semi-arid river basin: a spatially explicit multi-agent simulation approach. Environmental Modeling and Software, 25 (4): 433-443.
- Vatn, A., Bakken, L., Bleken, M.A., Baadshaug, O.H., Fykse, H., Haugen, L. E., Lundekvam, H., Morken, J., Romstad, E., Rørstad, P. K., Skjelvag, A.O. & Sogn, T. (2006). A methodology for integrated economic and environmental analysis of pollution from agriculture, Agricultural Systems, 88 (2-3): 270-293.
- Wossen, T., Berger, T., Swamikannuh, N., & Ramilan, T., (2014). Climate variability, consumption risk and poverty in semi-arid Northern Ghana: Adaptation options for poor farm households. Environmental Development 12: 2-15.