Acknowledgments The authors who contributed to this book chapter are grateful to the Deutsche
Forschungsgemeinschaft (DFG) for funding granted to the Uplands Program (SFB 564) and for
co-funding provided by the National Research Council of Thailand (NRCT) and the Ministry of
Science and Technology in Vietnam. The development of the CropDSS shell was supported in part
by the Thailand Research Fund (TRF) under grant number RDC52O0001. Chakrit Potchanasinh
acknowledges funding received from the Deutscher Akademischer Austausch Dienst (DAAD). We
would like to thank Thilo Streck and Holger L. Fro ¨hlich for their helpful comments, Gary
Morrison for reading through the English, and Peter Elstner for helping with the layout.
References
Affholder F, Jourdain D, Quang DD, Tuong TP, Morize M, Ricome A (2010) Constraints to
farmers’ adoption of direct-seeding mulch-based cropping system: a farm scale modeling
approach applied to the mountainous slopes of Vietnam. Agric Syst 103:51–62
Argent RM (2003) An overview of model integration for environmental applications: components,
frameworks and semantics. Environ Modell Softw 19:219–334
Asean Food Security Information System (AFSIS) (2012) Database for Thailand paddy: planted
area, harvested area, production, and yield 1983–2010. http://afsis.oae.go.th/. Retrieved 17
July 2012
Aune JB, Lal R (1995) The tropical soil productivity calculator – a model for assessing effects of
soil management on productivity. In: Lal R, Stewart BA (eds) Soil management. Experimental
basis for sustainability and environmental quality. Lewis Publishers, London
Balmann A (1997) Farm-based modelling of regional structural change: a cellular automata
approach. Eur Rev Agric Econ 24:85–108
Bangerth F (2006) Flower induction in perennial fruit trees: still an enigma? Acta Hortic
727:177–195, Proceedings Xth IS on Plant Bioregulators in Fruit
Bangerth KF (2009) Floral induction in mature, perennial angiosperm fruit trees: similarities and
discrepancies with annual/biennial plants and the involvement of plant hormones. Sci Hortic
122:153–163
Becu N (2005) Mae Sa multi-agent system project – step 1: working paper 2: June 2005. The
uplands program (SFB 564), University of Hohenheim, Germany
Becu N, Perez P, Walker A, Barreteau O, Le Page C (2003) Agent based simulation of a small
catchment water management in northern Thailand: description of the CATCHSCAPE model.
Ecolo Modell 170(2–3):319–331
Becu N, Neef A, Schreinemachers P, Sangkapitux C (2008) Participatory computer simulation to
support collective decision-making: potential and limits of stakeholder involvement. Land Use
Policy 25(4):498–509
Berger T (2001) Agent-based spatial models applied to agricultural: a simulation tool for technology diffusion, resource use changes, and policy analysis. Agric Econ 25:245–260
Berger T, Schreinemachers P (2006) Creating agents and landscapes for multiagent systems from
random samples. Ecol Soc 11 Art.19
Berger T, Schreinemachers P, Woelcke J (2006) Multi-agent simulation for the targeting of
development policies in less-favored area. Agric Syst 88:28–43
Berger T, Birner R, Dı ´az J, McCarthy N, Wittmer H (2007) Capturing the complexity of water uses
and water users within a multi-agent framework. Water Resour Manage 21:129–148
Boll L (2009) Spatial variability in maize and cassava productivity in the Chieng Khoi watershed,
northwest Vietnam. MSc thesis, Institute for Plant Production and Agroecology in the Tropics
and Subtropics, University of Hohenheim, Stuttgart
Open Access. This chapter is distributed under the terms of the Creative Commons Attribution
Non-commercial License, which permits any noncommercial use, distribution, and reproduction in
any medium, provided the original author(s) and source are credited.
428
C. Marohn et al.
Forschungsgemeinschaft (DFG) for funding granted to the Uplands Program (SFB 564) and for
co-funding provided by the National Research Council of Thailand (NRCT) and the Ministry of
Science and Technology in Vietnam. The development of the CropDSS shell was supported in part
by the Thailand Research Fund (TRF) under grant number RDC52O0001. Chakrit Potchanasinh
acknowledges funding received from the Deutscher Akademischer Austausch Dienst (DAAD). We
would like to thank Thilo Streck and Holger L. Fro ¨hlich for their helpful comments, Gary
Morrison for reading through the English, and Peter Elstner for helping with the layout.
References
Affholder F, Jourdain D, Quang DD, Tuong TP, Morize M, Ricome A (2010) Constraints to
farmers’ adoption of direct-seeding mulch-based cropping system: a farm scale modeling
approach applied to the mountainous slopes of Vietnam. Agric Syst 103:51–62
Argent RM (2003) An overview of model integration for environmental applications: components,
frameworks and semantics. Environ Modell Softw 19:219–334
Asean Food Security Information System (AFSIS) (2012) Database for Thailand paddy: planted
area, harvested area, production, and yield 1983–2010. http://afsis.oae.go.th/. Retrieved 17
July 2012
Aune JB, Lal R (1995) The tropical soil productivity calculator – a model for assessing effects of
soil management on productivity. In: Lal R, Stewart BA (eds) Soil management. Experimental
basis for sustainability and environmental quality. Lewis Publishers, London
Balmann A (1997) Farm-based modelling of regional structural change: a cellular automata
approach. Eur Rev Agric Econ 24:85–108
Bangerth F (2006) Flower induction in perennial fruit trees: still an enigma? Acta Hortic
727:177–195, Proceedings Xth IS on Plant Bioregulators in Fruit
Bangerth KF (2009) Floral induction in mature, perennial angiosperm fruit trees: similarities and
discrepancies with annual/biennial plants and the involvement of plant hormones. Sci Hortic
122:153–163
Becu N (2005) Mae Sa multi-agent system project – step 1: working paper 2: June 2005. The
uplands program (SFB 564), University of Hohenheim, Germany
Becu N, Perez P, Walker A, Barreteau O, Le Page C (2003) Agent based simulation of a small
catchment water management in northern Thailand: description of the CATCHSCAPE model.
Ecolo Modell 170(2–3):319–331
Becu N, Neef A, Schreinemachers P, Sangkapitux C (2008) Participatory computer simulation to
support collective decision-making: potential and limits of stakeholder involvement. Land Use
Policy 25(4):498–509
Berger T (2001) Agent-based spatial models applied to agricultural: a simulation tool for technology diffusion, resource use changes, and policy analysis. Agric Econ 25:245–260
Berger T, Schreinemachers P (2006) Creating agents and landscapes for multiagent systems from
random samples. Ecol Soc 11 Art.19
Berger T, Schreinemachers P, Woelcke J (2006) Multi-agent simulation for the targeting of
development policies in less-favored area. Agric Syst 88:28–43
Berger T, Birner R, Dı ´az J, McCarthy N, Wittmer H (2007) Capturing the complexity of water uses
and water users within a multi-agent framework. Water Resour Manage 21:129–148
Boll L (2009) Spatial variability in maize and cassava productivity in the Chieng Khoi watershed,
northwest Vietnam. MSc thesis, Institute for Plant Production and Agroecology in the Tropics
and Subtropics, University of Hohenheim, Stuttgart
Open Access. This chapter is distributed under the terms of the Creative Commons Attribution
Non-commercial License, which permits any noncommercial use, distribution, and reproduction in
any medium, provided the original author(s) and source are credited.
428
C. Marohn et al.