Modeling the spatial distribution of crop cultivated areas at a large regional scale combining system dynamics and a modified Dyna-CLUE: A case from Iran

Agricultural land use pattern is affected by many factors at different scales and effects that are separated by time and space. This will lead to simulation models that optimize or project the cropping pattern changes and incorporate complexities in terms of details and dynamics. Combining System Dynamics (SD) and a modified Conversion of Land Use and its Effects (CLUE) modelling framework, this paper suggests a new dynamic approach for assessing the demand of different crops at country-level and for predicting the spatial distribution of cultivated areas at provincial scale. As example, a case study is presented for Iran, where we have simulated a scenario of future cropping pattern changes during 2015–2040.The results indicated a change in the spatial distribution of cultivated areas during the next years. An increase in the proportion of rice is expected in northern Iran, whereas the proportion of wheat is increasing in the mountainous western areas. Wheat and barley crops are expected to become dominant within the cropping system throughout the country regions.

[1]  Peter M. Senge,et al.  Bookshelf - High Output Management, Built to Last: Successful Habits of Visionary Companies, The Fifth Discipline: The Art & Practice of the Learning Organization , 2006, IEEE Softw..

[2]  R. Shibasaki,et al.  National spatial crop yield simulation using GIS-based crop production model , 2001 .

[3]  Thomas Berger,et al.  An agent-based simulation model of human-environment interactions in agricultural systems , 2011, Environ. Model. Softw..

[4]  H. Akinci,et al.  Agricultural land use suitability analysis using GIS and AHP technique , 2013 .

[5]  Xianjin Huang,et al.  Simulation of farmer decision on land use conversions using decision tree method in Jiangsu Province, China. , 2009 .

[6]  John D. Sterman,et al.  System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .

[7]  Dov Dori,et al.  Project management vs. systems engineering management: A practitioners' view on integrating the project and product domains , 2011, Syst. Eng..

[8]  Yu Zhang,et al.  A simulation model linking crop growth and soil biogeochemistry for sustainable agriculture , 2002 .

[9]  K. Overmars,et al.  Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model , 2009, Landscape Ecology.

[10]  Rüdiger Schaldach,et al.  Coupled simulation of regional land use change and soil carbon sequestration: A case study for the state of Hesse in Germany , 2006, Environ. Model. Softw..

[11]  Hassan Qudrat-Ullah,et al.  On the validation of system dynamics type simulation models , 2010, 2010 International Conference on Information Science and Applications.

[12]  Orazio Giustolisi,et al.  An integrated modelling approach for the assessment of land use change effects on wastewater infrastructures , 2009, Environ. Model. Softw..

[13]  M. Peng,et al.  Modelling and simulating the dynamic environmental factors in post-seismic relief operation , 2014, J. Simulation.

[14]  Iman Mesgari,et al.  SYSTEM DYNAMICS MODELING FOR NATIONAL AGRICULTURAL SYSTEM WITH POLICY RECOMMENDATIONS: APPLICATION TO IRAN , 2017 .

[15]  Y. Pan,et al.  Enterprise behaviour under Cap-and-Trade conditions: an experimental study with system dynamic models , 2016, J. Simulation.

[16]  Yaman Barlas,et al.  Formal aspects of model validity and validation in system dynamics , 1996 .

[17]  Fei Li,et al.  A system dynamics model for analyzing the eco-agriculture system with policy recommendations , 2012 .

[18]  M. Taleai,et al.  A GIS-based agricultural land-use allocation model coupling increase and decrease in land demand , 2014 .

[19]  Jun Wang,et al.  IA-SDSS: A GIS-based land use decision support system with consideration of carbon sequestration , 2010, Environ. Model. Softw..

[20]  J. N. Perry,et al.  Simulation scenarios of spatio-temporal arrangement of crops at the landscape scale , 2010, Environ. Model. Softw..

[21]  Anthony J. Jakeman,et al.  Progress in integrated assessment and modelling , 2002, Environ. Model. Softw..

[22]  J. Forrester.  Industrial Dynamics: A Major Breakthrough for Decision Makers , 2012 .

[23]  Adrian Leip,et al.  Modelling of land cover and agricultural change in Europe: Combining the CLUE and CAPRI-Spat approaches , 2011 .

[24]  Geping Luo,et al.  Combining system dynamic model and CLUE-S model to improve land use scenario analyses at regional scale: A case study of Sangong watershed in Xinjiang, China , 2010 .

[25]  Mahdi Zarghami,et al.  System dynamics modeling for complex urban water systems: Application to the city of Tabriz, Iran , 2012 .

[26]  B. Balassa.  Trade Liberalisation and “Revealed” Comparative Advantage , 1965 .

[27]  PETER H. VERBURG,et al.  Modeling the Spatial Dynamics of Regional Land Use: The CLUE-S Model , 2002, Environmental management.