Berger, T., Gimpel, H., Stein, A., Troost, C., Asseng, S., Bichler, M., Bieling, C., Birner, R., Grass, I., Kollmann, J., Leonhardt, S.D., Schurr, F.M., Weisser, W., (2024): Hybrid intelligence for reconciling biodiversity and productivity in agriculture. Nature Food 1–3. https://doi.org/10.1038/s43016-024-00963-6
Berger, U., Bell, A., Barton, C.M., Chappin, E., Dreßler, G., Filatova, T., Fronville, T., Lee, A., van Loon, E., Lorscheid, I., Meyer, M., Müller, B., Piou, C., Radchuk, V., Roxburgh, N., Schüler, L., Troost, C., Wijermans, N., Williams, T.G., Wimmler, M.-C., Grimm, V., (2024): Towards reusable building blocks for agent-based modelling and theory development. Environmental Modelling & Software 175, 106003. https://doi.org/10.1016/j.envsoft.2024.106003
Troost, C., Huber, R., Bell, A.R., van Delden, H., Filatova, T., Le, Q.B., Lippe, M., Niamir, L., Polhill, J.G., Sun, Z., Berger, T., 2023. How to Keep it Adequate: A Protocol for Ensuring Validity in Agent-Based Simulation. Environmental Modelling & Software 159, 105559. (doi.org/10.1016/j.envsoft.2022.105559)
Troost, C., Parussis-Krech, J. Mejaíl, M., Berger, T., 2023. Boosting the Scalability of Farm-Level Models: Efficient Surrogate Modeling of Compositional Simulation Output. Computational Economics, 62(3): 721–759 (doi.org/10.1007/s10614-022-10276-0)
Marohn, C., Troost, C., Warth, B., Bateki, C., Zijlstra, M., Anwar, F., Williams, B., Descheemaeker, K., Berger, T., Asch, F., Dickhoefer, U., Birner, R., Cadisch, G., 2022. Coupled biophysical and decision-making processes in grassland systems in East African savannahs - A modelling framework. Ecological Modelling, 474, 110113 (doi.org/10.1016/j.ecolmodel.2022.110113)
Münzberg, A., Troost, C., Martini, D., Mendoza, F., Srivastava, R., Berger, T., Seuring, L., Reinosch, N., Streck, T., Bernardi, A., 2022. Machine Learning on Simulated and Real Farm Data Based on an Ontology-Controlled Data Infrastructure. In: Martin, A., Hinkelmann, K., Fill, H.-G., Gerber, A., Lenat, D., Stolle, R., van Harmelen, F. (Eds.), Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), Stanford University, Palo Alto, California, USA, March 21-24, 2022. (Open Access)
Carauta, M., Grovermann, C., Heidenreich, A., Berger, T., 2022. How eco-efficient are crop farms in the Southern Amazon region? Insights from combining agent-based simulations with robust order-m eco-efficiency estimation. Science of The Total Environment, Vol. 819, 153072. (doi.org/10.1016/j.scitotenv.2022.153072)
Mössinger, J., Troost, C., Berger, T., 2022. Bridging the gap between models and users: A lightweight mobile interface for optimized farming decisions in interactive modeling sessions. Agricultural Systems 195, 103315. (doi.org/10.1016/j.agsy.2021.103315 Open Access)
Carauta, M., Troost, C., Guzman-Bustamante, I., Hampf, A., Libera, A., Meurer, K., Bönecke, E., Franko, U., de Aragão Ribeiro Rodrigues, R., Berger, T., 2021. Climate-related land use policies in Brazil: How much has been achieved with economic incentives in agriculture? Land Use Policy 109, 105618. (doi.org/10.1016/j.landusepol.2021.105618 Open Access)
Eisele, M., Troost, C., Berger, T., 2021. How Bayesian are farmers when making climate adaptation decisions? A computer laboratory experiment for parameterising models of expectation formation. Journal of Agricultural Economics 72 (3): 805-828 (doi.org/10.1111/1477-9552.12425 Open Access)
Carauta, M., Parussis, J., Hampf, A., Libera, A., Berger, T., 2021. No more double cropping in Mato Grosso, Brazil? Evaluating the potential impact of climate change on the profitability of farm systems. Agricultural Systems 190, 103104. (doi.org/10.1016/j.agsy.2021.103104)
Berger, T., Bernardi, A., Martini, D., Münzberg, A., Parussis, J., Streck, T., Troost, C., 2020. Combining Machine Learning and Simulation Modelling for Better Predictions of Crop Yield and Farmer Income. In: van Griensven, A., Nossent, J., Ames, D. (Eds.) Proceedings 10th International Congress on Environmental Modelling and Software. Brussels, Belgium.
Mendoza Tijerino, F., Troost, C., Berger, T., 2020. Digital Support for Farm Investment Decisions: Climate Change and Economies of Size in Farm Mechanisation. In: van Griensven, A., Nossent, J., Ames, D. (Eds.) Proceedings 10th International Congress on Environmental Modelling and Software. Brussels, Belgium.
Troost C., Berger T., 2020. Formalising validation? Towards criteria for valid conclusions from agent-based simulation. In: van Griensven, A., Nossent, J., Ames, D.P. (Eds.) Proceedings 10th International Congress on Environmental Modelling and Software. Brussels, Belgium.
Troost C., Duan X., Gayler S., Heinlein F., Klein C., Aurbacher J., Demyan M.S., Högy P., Laub M., Ingwersen J., Kremer P., Mendoza Tijerino F., Otto L. H., Poyda A., Warrach-Sagi K., Weber T.K.D., Priesack E., Streck T., Berger T., 2020. The Bioeconomic Modelling System MPMAS-XN: Simulating Short and Long-term Feedback Between Climate, Crop growth, Crop Management and Farm Management. In: van Griensven, A., Nossent, J., Ames, D.P. (Eds.) Proceedings 10th International Congress on Environmental Modelling and Software. Brussels, Belgium.
Marohn, C., Warth, B., Troost, C., Bateki, C., Dickhöfer, U., Berger, T., Asch, F., Birner, R., Cadisch, G., 2020. Landscape-scale interactions between pastures, crops, trees and cattle in savanna grassland systems. In: van Griensven, A., Nossent, J., Ames, D. (Eds.) Proceedings 10th International Congress on Environmental Modelling and Software. Brussels, Belgium.
Hampf, A. C., Carauta, M., Latynskiy, E., Libera, A., Monteiro, L., Sentelhas, P., Troost, C., Berger, T., Nendel, C., 2018. The biophysical and socio-economic dimension of yield gaps in the southern Amazon - A bio-economic modelling approach. Agricultural Systems 165, 1 - 13. (doi.org/10.1016/j.agsy.2018.05.009)
Carauta, M., Latynskiy, E., Mössinger, J., Gil, J., Libera, A., Hampf, A., Monteiro, L., Siebold, M., Berger, T., 2018. Can preferential credit programs speed up the adoption of low-carbon agricultural systems in Mato Grosso, Brazil? Results from bioeconomic microsimulation. Regional Environmental Change 18, 117-128. (doi.org/10.1007/s10113-017-1104-x Open Access)
Huber, R., Bakker, M., Balmann, A., Berger, T., Bithell, M., Brown, C., Grêt-Regamey, A., Xiong, H., Le, Q. B., Mack, G., Meyfroidt, P., Millington, J., Müller, B., Polhill, J. G., Sun, Z., Seidl, R., Troost, C., Finger, R., 2018. Representation of decision-making in European agricultural agent-based models. Agricultural Systems 167, 143 - 160. (doi.org/10.1016/j.agsy.2018.09.007)
Wossen, T., Berger, T., Haile, M., Troost, C., 2018. Impacts of climate variability and food price volatility on household income and food security of farm households in East and West Africa. Agricultural Systems 163, 7-15. (doi.org/ 10.1016/j.agsy.2017.02.006)
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 (6), 693-706. (doi.org/10.1111/agec.12367)
Grovermann, C., Schreinemachers, P., Berger, T., 2017. ‘Smart’ policies to reduce pesticide use and avoid income trade-offs: An agent-based model applied to Thai agriculture. Ecological Economics, 132, 91-103. (doi.org/10.1016/j.ecolecon.2016.09.031)
Latynskiy, E., Berger, T., 2017. Assessing the income effects of group certification for smallholder coffee farmers: Agent-based simulation in Uganda. Journal of Agricultural Economics 68, 727-748. (doi.org/10.1111/1477-9552.12212 Open Access)
Carauta, M., Libera, A.A.D., Latynskiy, E., Hampf, A., Silveira, J.M.F.J., Berger, T., 2016. Integrated assessment of novel two-season production systems in Mato Grosso, Brazil, in: Sauvage, S., Sanchez-Perez, J.M., Rizzoli, A.E. (Eds.), Proceedings of the 8th International Congress on Environmental Modelling and Software. Toulouse, France, pp. 430–437. (Open Access)
Troost, C., Berger, T., 2016. Simulating structural change in agriculture: Modelling farming households and farm succession. In: Sauvage, S., Sánchez-Pérez, J.M., Rizzoli, A.E. (Eds.), 2016. Proceedings of the 8th International Congress on Environmental Modelling and Software, July 10-14, Toulouse, FRANCE. (Open Access)
Troost, C., Berger, T., 2016. Advances in probabilistic and parallel agent‐based simulation: Modelling climate change adaptation in agriculture. In: Sauvage, S., Sánchez-Pérez, J.M., Rizzoli, A.E. (Eds.), 2016. Proceedings of the 8th International Congress on Environmental Modelling and Software, July 10-14, Toulouse, FRANCE. (Open Access)
Carauta, M., Libera, A.A.D., Chen, R.F.F., Hampf, A., Dantas, I.R.M., Silveira, J.M.F.J., Berger, T., 2016. On-Farm trade-offs for optimal agricultural practices in Mato Grosso, Brazil, in: 54o Congresso Da Sociedade Brasileira de Economia, Administração E Sociologia Rural. Maceió, Brazil. (doi.org/10.25070/rea.v15i3 Open Access)
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. (doi.org/10.1016/j.jenvman.2014.12.001)
Troost, C., 2016. Mikrosimulation landwirtschaftlicher Produktion auf der Schwäbischen Alb. Wirtschaft und Statistik 1/2016. (Open Access)
Troost, C., Berger, T., 2015. Process-based simulation of regional agricultural supply functions in Southwestern Germany using farm-level and agent-based models. In: International Association of Agricultural Economists, 2015 Conference, August 9-14, 2015, Milan, Italy. (doi.org/10.22004/ag.econ.211929 Open Access)
Berger, T., Wossen, T., Troost, C., Latynskiy, E., Tesfaye, K., Gbegbelegbe, S., 2015, Adaptation of farm-households to increasing climate variability in Ethiopia: Bioeconomic modeling of innovation diffusion and policy interventions. International Association of Agricultural Economists, 2015 Conference, August 9-14, 2015, Milan, Italy. (doi.org/10.22004/ag.econ.229062 Open Access)
Troost, C., Berger, T., 2015. Dealing with Uncertainty in Agent-Based Simulation: Farm-Level Modeling of Adaptation to Climate Change in Southwest Germany. American Journal of Agricultural Economics 97: 833-854. (doi.org/10.1093/ajae/aau076 Open Access)
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. (doi.org/10.1016/j.landusepol.2015.01.028 Open Access)
Wossen, T., Berger, T., 2015, Climate variability, food security and poverty: Agent-based assessment of policy options for farm households in Northern Ghana. Environmental Science & Policy 47, 95 - 107. (doi.org/10.1016/j.envsci.2014.11.009)
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 (1), 648-668. (doi.org/ 10.1002/2014WR015382 Open Access)
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. (doi.org/10.1016/j.agsy.2013.10.002)
Wossen, T., Berger, T., Swamikannu, 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. (doi.org/10.1016/j.envdev.2014.07.003)
Berger, T., Troost, C., 2014. Agent-based Modelling of Climate Adaptation and Mitigation Options in Agriculture. Journal of Agricultural Economics, 65, 323-348. (doi.org/10.1111/1477-9552.12045)
Latynskiy, E., Berger, T., Troost, C., 2014. Assessment of Policies for Low-Carbon Agriculture by means of Multi-Agent Simulation. In: Ames, D.P., Quinn, N.W.T., Rizzoli, A.E. (Eds.), Proceedings of the 7th International Congress on Environmental Modelling and Software, June 15-19, San Diego, California, USA. (Open Access)
Marohn, C., Schreinemachers, P., Quang, D.V., Berger, T., Siripalangkanont, P., Nguyen, T.T., Cadisch, G., 2012. A software coupling approach to assess low-cost soil conservation strategies for highland agriculture in Vietnam. Environmental Modelling & Software 45, 116–128. (doi.org/10.1016/j.envsoft.2012.03.020)
Latynskiy, E., Berger, T., 2012. An agent-based network approach for understanding, analyzing and supporting rural producer organizations in agriculture. In: Herausforderungen des globalen Wandels für Agrarentwicklung und Welternährung. Landwirtschaftsverlag, Münster; Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaus e.V., 48; pp. 191–202. (Open Access)
Troost, C., Calberto, G., Berger, T., Ingwersen, J., Priesack, E., Warrach-Sagi, K., Walter, T., 2012. Agent-based modeling of agricultural adaptation to climate change in a mountainous area of South West Germany. In: Seppelt, R., Voinov, A., Lange, S., Bankamp, D. (Eds.), International Environmental Modelling and Software Society (iEMSs): 2012 International Congress on Environmental Modelling and Software: Managing Resources of a Limited Planet, Sixth Biennial Meeting, Leipzig, Germany. (Open Access)
Schreinemachers, P., Berger, T., 2011. An agent-based simulation model of human environment interactions in agricultural systems. Environmental Modelling & Software 26, 845-859. (doi.org/10.1016/j.envsoft.2011.02.004)
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(6), 519–536. (doi.org/10.1111/j.1574-0862.2010.00467.x)
Berger, T., Schilling, C., Troost, C., Latynskiy, E., 2010. Knowledge-Brokering with Agent-Based Models: Some Experiences from Irrigation-Related Research in Chile. In: David A. Swayne, Wanhong Yang, A. A. Voinov, A. Rizzoli, T. Filatova (Eds.), International Environmental Modelling and Software Society (iEMSs) 2010 International Congress on Environmental Modelling and Software, Ottawa, Canada. (Open Access)
Arnold, T., Uribe, H., Troost, C., Berger, T., 2010. Irrigation Management in Chile: Integrated Modeling of Access to Water. In: David A. Swayne, Wanhong Yang, A. A. Voinov, A. Rizzoli, T. Filatova (Eds.), International Environmental Modelling and Software Society (iEMSs) 2010 International Congress on Environmental Modelling and Software, Ottawa, Canada. (Open Access).
Schreinemachers, P., Berger, T., Sirijinda, A., Praneetvatakul, S., 2009. The diffusion of green-house agriculture in northern Thailand: Combining econometrics and agent-based modeling. Canadian Journal of Agricultural Economics 57 (4), 513-536. (doi.org/10.1111/j.1744-7976.2009.01168.x)
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. (doi.org/10.1016/j.ecolecon.2007.07.018)
Berger, T., Birner, R., Díaz, J., McCarthy, N., Wittmer, H., 2007. Capturing the Complexity of Water Uses and Water Users within a Multi-Agent Framework. Water Resources Management 21(1), 129-148. (doi.org/10.1007/s11269-006-9045-z)
Robinson, D.T., Brown, D.G., Parker, D.C., Schreinemachers, P., Janssen, M., Huigen, M., Wittmer, H., Gotts, N., Promburom, P., Irwin, E., Berger, T., Gatzweiler, F., Barnaud, C., 2007. Comparison of empirical methods for building agent-based models in land use science. Journal of Land Use Science 2(1), 31-55. (doi.org/10.1080/17474230701201349)
Schreinemachers, P., Berger, T., 2006. Land-use decisions in developing countries and their representation in multi-agent systems. Journal of Land Use Science 1(1), 29-44. (doi.org/10.1080/17474230600605202)
Berger, T., Schreinemachers, P., 2006. Creating agents and landscapes for multi agent systems from random samples. Ecology and Society 11(2), Art.19. (Open Access)
Berger, T., Schreinemachers, P., Woelcke, J., 2006. Multi-agent simulation for the targeting of development policies in less-favored areas. Agricultural Systems 88, 28-43. (doi.org/10.1016/j.agsy.2005.06.002)
Berger, T., 2004. Innovation as an Alternative to Migration? Exemplary Results from a Multiple-Agent Programming Model applied to Chile. Unruh, J., Krol, M.S., Kliot, N. (Eds.): Environmental Change and its Implications for Population Migration. Advances in Global Change Research, Kluwer Academic Publishers, Dordrecht, 25-46.
Berger, T., Ringler, C., 2002. Trade-offs, Efficiency Gains and Technical Change – Modeling Water Management and Land Use within a Multiple-Agent Framework. Quarterly Journal of International Agriculture 41 (1/2), 119-144.
Berger, T., 2001. Agent-based models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis. Agricultural Economics 25(2/3), 245-260. (doi.org/10.1016/S0169-5150(01)00082-2)
