Journal of Geographical Sciences >
Agent-based model of land system: Theory, application and modelling framework
Dai Erfu (1972–), PhD and Professor, specialized in comprehensive study of physical geography, simulation of LUCC, and climate change. E-mail: daief@igsnrr.ac.cn |
Received date: 2020-03-31
Accepted date: 2020-06-30
Online published: 2020-10-27
Supported by
National Natural Science Foundation of China, No(41571098)
National Natural Science Foundation of China, No(41530749)
National Key R&D Program of China, No(2017YFC1502903)
National Key R&D Program of China, No(2018YFC1508805)
Copyright
Land change science has become an interdisciplinary research direction for understanding human-natural coupling systems. As a process-oriented modelling approach, agent based model (ABM) plays an important role in revealing the driving forces of land change and understanding the process of land change. This paper starts from three aspects: The theory, application and modeling framework of ABM. First, we summarize the theoretical basis of ABM and introduce some related concepts. Then we expound the application and development of ABM in both urban land systems and agricultural land systems, and further introduce the case study of a model on Grain for Green Program in Hengduan Mountainous region, China. On the basis of combing the ABM modeling protocol, we propose the land system ABM modeling framework and process from the perspective of agents. In terms of urban land use, ABM research initially focused on the study of urban expansion based on landscape, then expanded to issues like urban residential separation, planning and zoning, ecological functions, etc. In terms of agricultural land use, ABM application presents more diverse and individualized features. Research topics include farmers’ behavior, farmers’ decision-making, planting systems, agricultural policy, etc. Compared to traditional models, ABM is more complex and difficult to generalize beyond specific context since it relies on local knowledge and data. However, due to its unique bottom-up model structure, ABM has an indispensable role in exploring the driving forces of land change and also the impact of human behavior on the environment.
DAI Erfu , MA Liang , YANG Weishi , WANG Yahui , YIN Le , TONG Miao . Agent-based model of land system: Theory, application and modelling framework[J]. Journal of Geographical Sciences, 2020 , 30(10) : 1555 -1570 . DOI: 10.1007/s11442-020-1799-3
Figure 1 Framework of regional spatial simulation of Grain for Green Program implementation |
Figure 2 Results of Grain for Green Program in Tongdu Town. Initial spatial pattern of cropland in 2010 (a), simulated spatial pattern of cropland in 2015 (b), and returned farmland from 2011 to 2015 (c) |
Figure 3 ODD protocol and its extension |
Figure 4 Agent-based modeling framework from the agent perspective |
Figure 5 Modeling procedure and related approach of ABM |
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