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

doi:10.13287/j.1001-9332.201809.007

Abstract

Abstract: 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. By substantially increasing the quantity and area of patches, improving the inter-patch connectivity, and increasing landscape fragmentation index appropriately, the “point-line-plane” pattern of park green space system in Nanchang would be optimized and the spatial distribution would be more rational, which could effectively enhance its role in biodiversity conservation, disaster prevention, and risk avoidance. The optimized indices of patch diversity, evenness and aggregation would be significantly increased, the dominance index would be reduced, and the landscape diversity would be more abundant.

WEI Xu-ying, CAI Jun-huo, YE Ying-cong, ZHOU Yang, LIU Chun-qing. Landscape pattern analysis and optimum design of park green space in Nanchang City, China based on GIS.[J]. Chinese Journal of Applied Ecology, 2018, 29(9): 2852-2860.

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