Agricultural land use and land cover change (Agri鄄LUCC) is one of the key issues among global change and sustainability studies. Year鄄on鄄year progress makes " agricultural land change冶 to be an emerging interdisciplinary science. As an effective tool for understanding the driver, process and consequence of Agri鄄LUCC, spatially鄄explicit land change models have successfully applied in representing agricultural landscapes and its possible developments across scales. Although several breakthroughs have been achieved by traditional land change modeling, there are still many crucial issues remain unsolved, especially the insufficient cognition on the complexity and dynamics of agricultural land systems. Recently, some researchers begin to combine agent鄄based models (ABM, one of the key tools for complex system studies) with land change models, bringing a new emergence of model series in the agricultural land change modeling community, which are called as Agri鄄ABM / LUCCs. Progress in this field can be summarized as: (1) Based on the complexity system theory, most of these models bring theoretical and methodological innovations in analyzing the complexity of agricultural land systems. (2) These models innovatively take land use decisions at individual level into consideration, based on which to recognize the role of decision makers bringing about changes, through their choices, on regional level landscapes. Such " modeling with stakeholders冶 underlines the role of farmers in agricultural transformation, facilitating the expression of diversified decisions on agricultural land use from heterogeneous farmers. (3) Agri鄄ABM / LUCC links " land change driving

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