Resources Science ›› 2019, Vol. 41 ›› Issue (4): 766-774.doi: 10.18402/resci.2019.04.13

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Improvement of farmland fragmentation measurement model based on road network analysis

GE Yujuan, ZHAO Yuluan   

  1. College of Geography and Environmental Science, Guizhou Normal University, Guiyang 550001, China
  • Received:2018-08-29 Revised:2018-12-09 Published:2019-04-25

Abstract: This study used GIS network analysis technique to improve the accuracy of an arable farmland fragmentation measurement model. It first summarized the connotation of arable farmland fragmentation and the existing measurement methods. It proposed that the actual road network is an indispensable indicator for the determination of the degree of arable farmland fragmentation. Second, according to the connotation of arable farmland fragmentation, three indicators farmer’s plot road accessibility index, farmer’s plot area index, and farmer’s plot shape index based on road network were selected, and a new arable farmland fragmentation measurement model was constructed. Finally, an empirical analysis of 206 farming households in a typical study area was carried out with the improved arable farmland fragmentation measurement model to confirm the validity of the model, and to compare the Euclidean distance between the farmhouse and the cultivated land and the road network distance. Then we compared and analyzed the difference between the farmer’s Euclidean distance to the cultivated land and the road network distance using the two distance measurement methods. Compared with the road network distance, the Euclidean distance underestimated the level of cultivated farmland fragmentation. The improved measurement model of this study has positive significance for further research on cultivated farmland fragmentation and its impact on agricultural production input-output.

Key words: land assessment, farmland fragmentation, GIS network analysis technique, road accessibility, farming household, Xiaoba Village,Guizhou Province