| Based on the six land fragmentation indices from current land use map of Minle country in 2010, the study aims to investigate the spatial correlation between land fragmentation and agriculture development, and provide a reference for moderate scale of land management, using two principle component indexes that could present land fragmentation according to the principle component analysis. The results showed that (1) the load value between the first principle component F1 and the number of patch, patch density, average patch area and aggregation index were higher than 80.2%, which represented the area and distribution; the load value between the second principle component F2 and the area weighting shape factor, the area weighting patch fractal dimension were higher than 96.6%, which represented the shape index. The bivariate global Moran’ index of F1-per capital net income of farmers and F1-added value of the first industry were 0.449 and 0.442, respectively, which showed a positive spatial correlation between F1 and agricultural development. (2) The bivariate global Moran’ index of F2-per capital net income of farmers and F2-added value of the first industry were 0.467 and 0.5, respectively, showing a positive spatial correlation between F2 and agricultural development. Therefore, there was a positive spatial correlation between land fragmentation and agricultural development, and they matched well in terms of spatial coupling. |