Temporal and spatial variability of agricultural land loss in relation to policy and accessibility in a low hilly region of southeast China

The temporal and spatial patterns in land use change in a low hilly region in southeast of China was analyzed from maps of converted agricultural land for 1999–2006. The factors driving farm land conversion was analyzed using logistic regression models. The amount of agricultural land loss varied temporally, and the spatial distribution of converted agricultural land patches decreased from low to high altitudes in the study area. Analysis using logistic regression models showed that good accessibility sped up the conversion of agricultural land to other uses, the elevation of a parcel lowered the risk of conversion, and agricultural land conversions are highly correlated with its adjacent or neighboring parcels’ land use, with the probability of being converted decreasing as the distance to nearest construction land increases. In addition, land use policy, especially the land use regulation policy issued by the central government decreased the agricultural land loss, and the more stringent regulation on cultivated land conversion lowered the possibility of conversion from cultivated land to other use.

Figure optionsDownload as PowerPoint slideResearch highlights
► Driving factors of agricultural land loss are analyzed using panel data logit model.
► Lost agricultural land has greatly temporal and spatial variations.
► Good accessibility speeds up the conversion of agricultural land to other uses.
► Land use policy issued by central government decreases agricultural land loss.