基于GIS的南昌市公园绿地景观格局分析与优化设计

doi:10.13287/j.1001-9332.201809.007

应用生态学报 ›› 2018, Vol. 29 ›› Issue (9): 2852-2860.doi: 10.13287/j.1001-9332.201809.007

基于GIS的南昌市公园绿地景观格局分析与优化设计

魏绪英^1,2, 蔡军火¹, 叶英聪¹, 周洋¹, 刘纯青^1,3*

¹江西农业大学园林与艺术学院, 南昌 330045;
²江西财经大学艺术学院, 南昌 330032;
³江西农业大学园林设计研究院, 南昌 330045

收稿日期:2018-01-29 出版日期:2018-09-20 发布日期:2018-09-20
通讯作者: E-mail: 515189191@qq.com
作者简介:魏绪英,女,1974年生,博士研究生,讲师.主要从事城市绿地系统规划、风景园林历史与理论研究. E-mail: 1738991352@qq.com
基金资助:
本文由国家自然科学基金项目(31660231)和江西省艺术科学规划重点项目(8027205678)资助

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

WEI Xu-ying^1,2, CAI Jun-huo¹, YE Ying-cong¹, ZHOU Yang¹, LIU Chun-qing^1,3*

¹College of Landscape and Art, Jiangxi Agricultural University, Nanchang 330045, China;
²College of Art, Jiangxi University of Finance and Economics, Nanchang 330032, China;
³Landscape Design and Research Institute, Jiangxi Agricultural University, Nanchang 330045, China.

Received:2018-01-29 Online:2018-09-20 Published:2018-09-20
Supported by:
This work was supported by the National Natural Science Foundation of China (31660231) and Jiangxi Province Key Art Science Planning Program (8027205678).

摘要/Abstract

摘要： 以南昌市主城区的公园绿地现状图为基本信息源,借助GIS技术,建立公园绿地空间数据库;利用FRAGSTATS景观格局软件计算相应的景观指数.在对现有的南昌市公园绿地景观格局进行定量分析的基础上,提出优化策略与方案,并对优化后的景观格局进行评价. 结果表明: 现有公园绿地的斑块空间分布不均衡,且面积差异较大,尤其在人口密集区,公园绿地斑块数量偏少,有效避灾面积明显偏低;通过大幅度增加斑块数、斑块面积,提高斑块间的连通性,并适当提高景观破碎化指数,可以优化南昌市公园绿地系统的“点-线-面”格局,使空间分布更趋合理,有效增强其生物多样性保护与防灾避险功能;优化后的公园绿地的斑块多样性指数、均匀度指数均有大幅度提高,聚集度指数也明显升高,且相应降低了优势度指数,景观多样性更为丰富.

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.

魏绪英, 蔡军火, 叶英聪, 周洋, 刘纯青. 基于GIS的南昌市公园绿地景观格局分析与优化设计[J]. 应用生态学报, 2018, 29(9): 2852-2860.

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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基于GIS的南昌市公园绿地景观格局分析与优化设计

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

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