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 fragmen-tation according to the principle component analysis .The results showed that (1 ) the load value between the first princi-ple 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 agricultur-al 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 .%为了探索耕地细碎化与农业经济水平的空间相关关系，为耕地的适度化规模经营提供一定的参考依据，该文基于2010年民乐县土地利用现状图，获得民乐县耕地细碎化6个景观指数，运用主成分分析降维得到能够代表耕地细碎化的2个主成分指标，分析了耕地细碎化与农业经济水平的空间相关性规律。结果表明：（1）第一主成分 F1与斑块数量、斑块密度、斑块平均面积、聚集度指数的载荷值大于80．2％，代表面积与分布指标；第二主成分 F2与面积加权形状因子，面积加权分维数的载荷值大于96．6％，代表形状指数。（2） F1—农户人均纯收入， F1—第一产业增加值的双变量全局莫兰指数分别为0．449、0．442，F1与农业经济水平指标在空间上呈正相关关系。F2—农户人均纯收入，F2—第一产业增加值的双变量全局莫兰指数分别为0．467，0．5，F2与农业经济水平指标在空间上呈正相关关系。由此可见，耕地细碎化与农业经济水平在空间上呈正相关关系，空间耦合性很好。
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