POI空间密度与城市森林景观格局的关系

编号 lyqk008973

中文标题 POI空间密度与城市森林景观格局的关系

作者 杨金明  周正广  刘昭福 

作者单位 1. 青岛农业大学园林与林学院 山东青岛 266109;
2. 青岛市城阳区林业发展中心 山东青岛 266109;
3. 青岛高城维林林业规划有限公司 山东青岛 266109;
4. 上海市城市化生态过程与生态恢复重点实验室 上海 200241

期刊名称 中国城市林业 

年份 2021 

卷号 19

期号 5

中文摘要 文章在进行精细城市森林斑块提取基础上，利用公里网格空间划分方法，分析POI （points of interest）空间分布密度与城市森林景观格局指数之间的关系，并借助地理加权回归模型GWR （Geographically Weighted Regression）进行空间异质性分析。研究结果表明：1） POI空间密度与城市森林斑块个数NP、斑块密度PD、边缘密度ED、邻接度指数CONTIG、周长面积分维比指数PAFRAC 5种景观格局指数呈显著正相关关系，与平均斑块面积AREA和聚集度指数AI呈负相关关系；2） POI每平方公里增加1个点，NP，PD和ED将分别增加0.209，0.190和0.118，而AREA和AI分别减少0.001和0.002；3） POI空间密度与森林景观格局的关系具有显著空间异质性。研究结果可为城市森林效益最大化，以及更高频次地服务城市居民提供新的优化视角。

关键词 城市森林  景观格局指数  POI  植物多样性  ArcGIS  GWR 

基金项目 上海市城市化生态过程与生态恢复重点实验室开放基金POI距离梯度上城市森林结构和精细景观格局变化研究（SHUES2020A08）

英文标题 The Relationship between POI Spatial Density and Urban Forest Landscape Pattern

作者英文名 Yang Jinming, Zhou Zhengguang, Liu Zhaofu

单位英文名 1. School of Landscape Architecture and Forestry, Qingdao Agriculture University, Qingdao 266109, Shandong, China;
2. Forestry Development Center, Chengyang District, Qingdao 266109, Shandong, China;
3. Qingdao Gaocheng Weilin Forestry Planning Co., Ltd., Qingdao 266109, Shandong, China;
4. Shanghai Key Lab of Urban Ecological Processes and Eco-Restoration, Shanghai 200241, China

英文摘要 Based on the delineation of fine-resolution urban forest patches, this study analyzes the correlation between the spatial distribution density of the points of interest (POI) and the urban forest landscape metrics using grid cells division method, and then conducted the spatial heterogeneity analysis using the geographically weighted regression(GWR) model. The results show that:1) The spatial density of POI is significantly positively correlated with the number of patches (NP), patch density (PD), edge density (ED), contiguity index (CONTIG) and perimeter-area fractal dimension index (PAFRAC), and is significantly negatively correlated with mean patch area (AREA) and aggregation index (AI); 2) the NP, PD and ED will increase by 0.209, 0.190 and 0.118 respectively, whereas the AREA and AI will decrease by 0.001 and 0.002 respectively, if the POI increases by 1 point per square kilometer; 3) the relationship between the POI spatial density and urban forest landscape pattern has a significant spatial heterogeneity. The study provides a new optimized perspective for maximizing urban forest benefits and offering a higher-frequency service for citizens.

英文关键词 urban forest;landscape metrics;points of interest (POI);plant diversity;ArcGIS;geographically weighted regression (GWR)

起始页码 94

截止页码 98

投稿时间 2020/7/4

作者简介 杨金明(1986-),男,博士,讲师,研究方向为城市森林结构与景观格局。E-mail:jinming0221@163.com

DOI 10.12169/zgcsly.2020.07.04.0002

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