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基于社会-生态功能复合与SPCA的城市 绿地生态网络重要源地识别
仲启铖,张桂莲,张浪*
0
作者简介:
摘要:
:构建基于社会-生态功能复合的城市生态源地综合 评价指标体系,以上海市闵行区城市绿地为对象,运用GIS、 RS、Invest及景观连接度模型等方法计算指标,采用SPCA确 定指标权重,通过空间加权计算和重分类识别重要源地。结果 表明:1)在424个备选源地中,极重要、重要、一般、不重要 和极不重要等级面积占比分别为16.2%、16.1%、25.3%、 23.0%和19.4%;2)共识别极重要、重要源地139个,总面 积18.61km2,平均面积0.134km2,占备选源地总面积的 35.6%,占全区总面积的5.0%;3)区域绿地是重要源地的主 体,其次是公园绿地和附属绿地;4)在规划实践中,可依托区 域绿地开展绿林农湿多要素复合,提升源地总体规模和服务功 能。研究成果可为上海及长三角其他城市精准识别城市绿地生 态网络重要源地提供借鉴。
关键词:  风景园林  城市绿地  生态网络  生态源地  社 会-生态功能  景观连接度
DOI:
基金项目:
Identification of Important Sources of Urban GreenSpace Ecological Network Based on Social-Ecological Function Integration and SPCA
ZHONG Qicheng,ZHANG Guilian,ZHANG Lang
Abstract:
In this paper, the comprehensive evaluation indicator system for urban ecological source based on social-ecological function integration was constructed. Taking urban green spaces in Minhang District of Shanghai as the research objects, various methods such as GIS, RS, Invest model, and landscape connectivity model were used to calculate the indicators. The indicator weight was determined using SPCA, and the importance grading of all candidate sources was achieved through spatial weighting calculation and reclassification. The results show that: 1) Out of the 424 candidate sources, the most important, important, ordinary, unimportant, and extremely unimportant levels account for 16.2%, 16.1%, 25.3%, 23.0%, and 19.4%, respectively. 2) A total of 139 extremely important and important ecological sources were identified, covering an area of 18.61 square kilometers, with an average area of 0.134 square kilometers. These sources account for 35.6% of the area of all candidate sources and 5.0% of the total area of Minghang District. 3) Regional green spaces are the main parts of the important urban ecological sources, followed by park green spaces, and ancillary green spaces. 4) In planning practice, the scale and social-ecological functions of ecological sources can be enhanced by means of a combination of greenspace, forest, farmland, and wetland relying on the regional green spaces. The research results can provide valuable reference to accurately identify important ecological sources of green space ecological networks for Shanghai and other cities in the Yangtze River Delta
Key words:  landscape architecture  urban green space  ecological network  ecological source  social-ecological function  landscape connectivity

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