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With the increasing biofuel demands in recent years, the cultivated lands for biofuel crops, i.e., corn and soybeans, the major sources of ethanol and biodiesel, have been greatly expanding in the northern Great Plains states of the United States. Simulating the spatio-temporal dynamics of biofuel croplands can provide critical information required for assessing the impacts of land-use change on wildlife conservation and water quality. But, yearly agricultural practices such as crop rotations often complicate the spatially explicit modeling of specific crops’ expansion. Our research focused on developing a geospatial modeling framework that is able to distinguish long-term, regional changes in croplands from short-term, local fluctuations (such as rotations), using geographic information systems (GIS) and the land transformation model (LTM). The USDA Cropland Data Layers (CDLs) of North Dakota for 1999, 2000 …