关键词: 撂荒耕地, 分布特征, 空间自相关, 粮食安全, 关中平原

Abstract: In order to effectively solve the problem of farmland abandonment in Guanzhong Plain of Shaanxi, and ensure the food security, the zonal region across the west and east in Guanzhong Plain of Shaanxi was taken as the study area, the abandoned rate, the nuclear density analysis, and spatial autocorrelation analysis were used to study the spatial distribution pattern of abandoned farmland. The results indicated that the abandoned farmland was mainly dry land. The overall abandonment rate was not high, but it continued to rise. The abandoned farmland was mainly distributed in Qianyang County, Long County and Fengxiang County. Most of the abandoned farmland was distributed in the medium-high and high nuclear density areas. The high nuclear density areas and the medium-high nuclear density areas were mainly distributed in the hilly area of the northeast of Fengxiang County and the mountains of the north of Qianyang County. The medium nuclear density areas were mainly distributed in Long County, Qianyang County and Fengxiang County. The medium-low density areas were mainly distributed in Long County, and the low density areas were distributed in all counties. There was spatial agglomeration in the abandoned farmland. The low agglomeration areas of cold spots were mainly distributed in Dali County, Pucheng County and Fuping County in the east area. The relatively low agglomeration areas of cold spots were mainly distributed in the middle area. The relatively high agglomeration areas of hot spots were mainly distributed in Fengxing County. The high agglomeration areas of hot spots were mainly distributed in Long County and Qianyang County in the west area. The problem of abandoned farmland in Guanzhong Plain could be solved by vigorously carrying out comprehensive land improvement, formulating relevant policies to help and benefit farmers, and strictly implementing the national policy of cultivated land protection.

Key words: abandoned farmland, distribution characteristics, spatial autocorrelation, grain security, Guanzhong Plain