Scenario-based simulation of land use in Yingtan (Jiangxi Province, China) using an integrated genetic algorithm-cellular automata-Markov model.

Yingtan is a rapidly urbanizing city in Jiangxi Province, South China. During rapid urbanization, construction land is expanded at the expense of cropland and forest. Although economic benefits are gained, ecological and environmental damage is irreversible.

[Landscape pattern analysis and optimum design of park green space in Nanchang City, China based on GIS.].

Based on the current map data of park green space in the main urban area of Nanchang, the spatial database of park green space was set up with GIS technique, with the corresponding landscape indices being calculated by FRAGSTATS, the software of landscape pattern. Based on analyzing current landscape pattern of green space in Nanchang, the optimization strategy and scheme were proposed and the optimized landscape pattern was evaluated. The results indicated that the spatial distribution of patches in current park green space was uneven and area discrepancy was large, which is especially true in densely populated areas with less patch number of park green space and obviously low available area for disaster shelter.

[Spatial Variability of C-to-N Ratio of Farmland Soil in Jiangxi Province].

Spatial variability of soil carbon-to-nitrogen ratio (C/N) at the provincial scale was analyzed using ordinary kriging methods. The effects of the factors influencing C/N were quantified by regression analysis based on 16,582 points of surface soil samples (0-20 cm) collected during the project of soil-test-based formulated fertilization in Jiangxi Province in 2012. The results showed that soil C/N ranged from 2.