Abstract: With the rapid industrialization and urbanization, rural construction land has gradually occupied the ecological space and changed the thermal environment of land surface. Ecological security has become an increasingly important problem. Taking the rural area which is surrounded by S271 Provincial Highway, S252 Provincial Highway, Lianhuo Highway and S323 Provincial Highway of Xuzhou as an example, we investigated the temporal and spatial changes of temperature of rural land surface, and elucidated the evolving features of LUCC (land-use and land-cover change) and the thermal environment of land surface by constructing prediction functions of thermal effect with land use/cover. There were obvious dynamic differences in land surface temperature in the study area. When the historical temperature of Pizhou was below 10 ℃, surface temperature of cultivated land reached the highest and the residential area was the lowest. When the temperature was between 10 ℃ and 24 ℃, there was subtle difference of surface temperature among all land use types, which was less than 1 ℃. When the temperature was over 24 ℃, the surface temperature of the residential area was the highest while forest land was the lowest. In reference to the evolving features of rural land use, it mainly manifests that the forest land is occupied by both residential area and cultivated land. The evolution is mainly concentrated on the adjacent land plots of the traffic land. In reference to the evolution features of the surface thermal environment under the evolution of rural space, land evolution which mainly attributes to the expansion of residential areas has significantly enhanced the sensitivity and seasonal variation of temperature change in the study area. The thermal environment variation of land surface, which is caused by rural spatial evolution, will be effectively weakened by increasing the proportion of surface vegetation cover of forest land.

Key words: ecological environment, economic development, evolution mechanism, Hebei Province., coupling degree model