中国城市绿地多维特征的空间异质性分析--基于 285 个地级市的研究

Land Pub Date : 2024-07-13 DOI:10.3390/land13071050
Wei Zhao, Dianfeng Liu, Jiqiang Niu, Jianhua He, Feng Xu
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摘要

对城市绿地(UGSs)进行定量测量对增强其生态功能和服务起着基础性作用。目前的研究尚未在全国范围内充分分析城市绿地的多功能特征和多样化效益。本研究从规模、格局和服务三个方面建立了多维指标体系,用以衡量中国 285 个地级市的绿地状况。研究还探讨了不同地理区域和城市发展对城市绿地系统特征的影响。结果表明,"博太线 "两侧人均城市绿地面积差异显著,城市绿地结构以林地为主。中部和东部的城市绿地破碎化程度较高,景观多样性较低,连通性较弱。中国城市绿地的空间可达性从北到南呈现 "低-高-中 "的格局,中东部城市绿地供给的公平性最差。总体而言,绿地综合效益较高的城市主要分布在东北和华北地区。与其他类型城市相比,I 类大城市的 UGS 特征得分更高。这些发现可以为城市建设具有高度社会生态综合效益的绿地系统提供可靠的指导。
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Spatial Heterogeneity Analysis of the Multidimensional Characteristics of Urban Green Spaces in China—A Study Based on 285 Prefecture-Level Cities
Quantitative measurement of urban green spaces (UGSs) plays a fundamental role in enhancing their ecological functions and services. Current studies have not adequately analyzed the multifunctional characteristics and the diverse benefits of urban green spaces at the national scale. This study developed a multidimensional indicator system in terms of scale, pattern, and services to measure green spaces in 285 prefecture-level cities in China. The influences of different geographic zones and urban development on UGS characteristics were also investigated. The results showed that per capita area of urban green spaces were significantly different between the two sides of the “Botai Line”, and the UGS structure was mainly dominated by woodlands. Urban green spaces in the central and east had higher fragmentation, lower landscape diversity, and weaker connectivity. The spatial accessibility of green spaces exhibited a “low–high–medium” pattern from north to south in China, with central-eastern China experiencing the worst equity in green space supply. Overall, cities with higher integrated benefits of green spaces were mainly located in Northeast and North China. Type I large cities had higher ratings for UGS characteristics compared with the other types of cities. These findings can serve as solid guidance for cities seeking to build green space systems with highly integrated socio–ecological benefits.
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