Modeling and Simulating Land Abandonment Behavior ofFarmer Households Based on the CBDI

SONG Shi-xiong, LIANG Xiao-ying, MEI Ya-jun, WEN Xin, WANG Yan-ni, MAO Nan-zhao

JOURNAL OF NATURAL RESOURCES ›› 2016, Vol. 31 ›› Issue (11) : 1926-1937.

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JOURNAL OF NATURAL RESOURCES ›› 2016, Vol. 31 ›› Issue (11) : 1926-1937. DOI: 10.11849/zrzyxb.20160030

Modeling and Simulating Land Abandonment Behavior ofFarmer Households Based on the CBDI

  • SONG Shi-xiong, LIANG Xiao-ying, MEI Ya-jun, WEN Xin, WANG Yan-ni, MAO Nan-zhao
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Abstract

Recently, Multi-agent system (MAS), based on the theory of the complexity science, is one of the important methods in the study of LUCC. In this paper, a Category-Belief-Desire-Intention (CBDI) decision-making model based on MAS was constructed. The paper takes the Fengyanggua Village in Mizhi County, Shaanxi Province as an example. The land abandonment behaviors of farmer households were simulated and analyzed based on the NetLogo platform. The Belief-Desire-Intention (BDI) model was also applied. The results of CBDI model and BDI model are compared. Several conclusions were drawn: 1) Compared to the BDI model, the CBDI model (simulation accuracy is 87.19%) improves the accuracy of simulation. 2) The decision making process of farmer households can be shown on NetLogo platform, and the simulation results can give an explicit spatial result. 3) Though the reasons of farmers’ abandoning the land are different, the main reasons are the differences of geographical cognitive and the effects of other farmer households. In the future, some issues should be resolved: 1) the interaction among different kinds of farmer households should be focused and quantified; 2) highly accurate data resources are needed in order to improve the model precision, such as the terrace DEM.

Key words

Category-Belief-Desire-Intention / land abandonment / Multi-agent system / NetLogo

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SONG Shi-xiong, LIANG Xiao-ying, MEI Ya-jun, WEN Xin, WANG Yan-ni, MAO Nan-zhao. Modeling and Simulating Land Abandonment Behavior ofFarmer Households Based on the CBDI[J]. JOURNAL OF NATURAL RESOURCES, 2016, 31(11): 1926-1937 https://doi.org/10.11849/zrzyxb.20160030

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Funding

National Natural Science Foundation of China, No.41271103
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