[1]莫钧雄,孙丕苓*,宫巧巧,等.城市绿地时空分异及影响因素——以长江经济带为例[J].山地学报,2024,(2):196-209.[doi:10.16089/j.cnki.1008-2786.000816]
　MO Junxiong,SUN Piling*,GONG Qiaoqiao,et al.Spatial-Temporal Differentiation of Urban Green Space and its Influencing Factors: A Case Study of the Yangtze River Economic Belt, China[J].Mountain Research,2024,(2):196-209.[doi:10.16089/j.cnki.1008-2786.000816]
点击复制

城市绿地时空分异及影响因素——以长江经济带为例
分享到：

《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2024年第2期
页码:
196-209
栏目:
山区发展
出版日期:
2024-03-25

文章信息/Info

Title:
Spatial-Temporal Differentiation of Urban Green Space and its Influencing Factors: A Case Study of the Yangtze River Economic Belt, China
文章编号:
1008-2786-(2024)2-196-14
作者:
莫钧雄1; 孙丕苓1; 2*; 宫巧巧1; 刘庆果1; 沈丹丹1
(1. 曲阜师范大学 地理与旅游学院,山东 日照 276826; 2. 中国农业大学 土地科学与技术学院,北京 100193)
Author(s):
MO Junxiong1;  SUN Piling1; 2*;  GONG Qiaoqiao1;  LIU Qingguo1;  SHEN Dandan1
(1. School of Geography and Tourism, Qufu Normal University, Rizhao 276826, Shandong, China; 2. College of Land Science and Technology, China Agriculture University, Beijing 100193, China)
关键词:
城市绿地;  时空分异;  影响因素;  地理探测器;  长江经济带
Keywords:
urban green space;  spatial-temporal differentiation;  influencing factors;  geodetector;  the Yangtze River Economic Belt
分类号:
K901
DOI:
10.16089/j.cnki.1008-2786.000816
文献标志码:
A
摘要:
城市快速发展改变了城市绿地结构和格局,影响城市环境质量和人类福祉,加剧资源环境约束。已有研究侧重对城市或城市群绿地景观形态、布局以及空间格局特征的研究,对自然环境与人类活动差异明显的流域经济带不同河段城市绿地的时空格局、影响因素及其驱动机制分析不足,缺乏实践指导意义。本文以长江经济带为例,运用空间自相关分析方法及地理探测器模型分析2000—2020年长江经济带城市绿地时空分异及影响因素。结果表明:(1)2000—2020年长江经济带城市绿地面积由 3357.66 km2 增加到 13 425.32 km2,城市绿地率由22.56%增加到39.04%,城市绿地率增速呈现出下游>上游>中游的特征。(2)2000—2020年长江经济带城市绿地呈现显著的空间集聚特征且两极分化明显,高值集聚区呈现向东部转移态势,主要分布于江西、安徽、江苏三省交界地区; 低值集聚区趋于中西部山区集聚,主要分布于四川、云南、贵州、湖北交接地带。(3)长江经济带城市绿地时空分异受气候条件、地形条件、人口规模、城市建设、经济发展、区域政策等因素的共同作用,上中下游地区城市绿地时空分异的关键影响因子不同。各影响因子之间的交互作用对长江经济带城市绿地时空分异呈现双因子增强与非线性增强效应。研究可以为长江经济带城市绿地合理布局与城市可持续发展提供一定参考。
Abstract:
The rapid urbanization in the Yangtze River Economic Belt, China has been significantly reforming the structure and pattern of urban green spaces, exerting profound impacts on urban environment quality and human well-being, and aggravating resource and environment conflicts. Previous studies mostly concerned about morphology, composition and configuration of green space in a city or in city cluster, but there was little knowledge of the spatio-temporal patterns, influencing factors and driving mechanisms of urban green space along different reaches of a typical basin economic zone, where cities in the proximity of the river exhibited distinct differences in resource, natural environment and economy; therefore they lacked of practical guidance significance.
In this study, it took the Yangtze River Economic Belt as a case study; spatial autocorrelation analysis and geodetector were used to analyze the spatial-temporal differentiation of urban green space in cities along the basin for the period of 2000-2020 and associated influential factors.
(1)Total area of urban green space in the Yangtze River Economic Belt increased from 3357.66 km2 to 13 425.32 km2, with a growth rate of 22.56% to 39.04% for 2000-2020. The growth rate of urban green space was in an order of downstream area > upstream area > midstream area.
(2)During 2000-2020, urban green space demonstrated a pattern of spatial agglomeration with obvious polarization. The areas of high-value agglomerations shifted to east, mainly distributed in the border areas of Jiangxi, Anhui, and Jiangsu provinces. The areas of low-value agglomerations tended to cluster in the mountainous mid-west areas, mainly in the intersection zones of Sichuan, Yunnan, Guizhou and Hubei provinces.
(3)The spatial-temporal differentiation of urban green space in the Yangtze River Economic Belt was governed by joint effect of climate, topography, population, urban construction, economic development, regional policy and so on; the dominant factors in the upstream, midstream and downstream regions were different. The interaction of factors showed a significant dual-factor enhancement effect and non-liner enhancement effect on the spatial-temporal differentiation of urban green space. The interactions among all influencing factors produced positive effects of two-factor enhancement and nonlinear enhancement on spatio-temporal differentiation of urban green space in the Yangtze River Economic Zone.
This study would provide valuable references for the design of urban green space and sustainable urban development in the Yangtze River Economic Belt.

参考文献/References:

[1] 吴蓉, 潘卓林, 李志刚, 等. 城市绿地对居民地方依恋的影响研究——以广州市为例[J]. 地理科学进展, 2021, 40(3): 441-456. [WU Rong, PAN Zhuolin, LI Zhigang, et al. Effect of green space on residents' place attachment: A case study of Guangzhou city [J]. Progress in Geography, 2021, 40(3): 441-456] DOI: 10.18306/dlkxjz.2021.03.008
[2] CHOUMERT J. An empirical investigation of public choices for green spaces [J]. Land Use Policy, 2010, 27(4): 1123-1131. DOI: 10.1108/JES-07-2017-0168
[3] KARDANI-YAZD N, KARDANI-YAZD N, DANESHVAR M R M. Strategic spatial analysis of urban greenbelt plans in Mashhad city, Iran [J]. Environmental Systems Research, 2019, 8(1): 1-13. DOI: 10.1186/s40068-019-0158-9
[4] RABBANI G, MADANIAN S, DANESHVAR M R M. Multi-criteria modeling for land suitability evaluation of the urban greenbelts in Iran [J]. Modeling Earth Systems and Environment, 2021, 7(2): 1291-1307. DOI: 10.1007/s40808-020-01002-6
[5] WU Longfeng, KIM S K. Exploring the equality of accessing urban green spaces: A comparative study of 341 Chinese cities [J]. Ecological Indicators, 2021, 121: 107080. DOI: 10.1016/j.ecolind.2020.107080
[6] 李涛. 基于协同论的城市绿地系统布局调适——以上海市为例[J]. 中国园林, 2021, 37(10): 66-70. [LI Tao. Urban green space system layout adjustment based on the synergetic theory: A case of Shanghai [J]. Chinese Landscape Architecture, 2021, 37(10): 66-70] DOI: 10.19775/j.cla.2021.10.0066
[7] 芮旸, 唐蓓佩, 王兴, 等. 国家园林城市时空演变特征及其影响机理[J]. 地理研究, 2018, 37(1): 20-36. [RUI Yang, TANG Beipei, WANG Xing, et al. The spatio-temporal evolutionary characteristics and the impact mechanism of national garden cities in China [J]. Geographical Research, 2018, 37(1): 20-36] DOI: 10.11821/dlyj201801002
[8] 吴啸慧, 刘志强, 王俊帝. 长三角城市群人均公园绿地面积时空分异格局演变及影响因素研究[J]. 中国城市林业, 2019, 17(5): 36-42. [WU Xiaohui, LIU Zhiqiang, WANG Jundi. Evolution of spatial-temporal differentiation pattern of per capita public green space area in the Yangtze River Delta Urban Agglomerations and its influencing factors [J]. Journal of Chinese Urban Forestry, 2019, 17(5): 36-42] DOI: 10.12169/ zgcsly.2018.09.07.0003
[9] LI Fangzheng, ZHANG Fen, LI Xiong, et al. Spatiotemporal patterns of the use of urban green spaces and external factors contributing to their use in central Beijing [J]. International Journal of Environmental Research and Public Health, 2017, 14(3): 237. DOI: 10.3390/ijerph14030237
[10] DONG Qidi, CAI Jun, CHEN Shuo, et al. Spatiotemporal analysis of urban green spatial vitality and the corresponding influencing factors: A case study of Chengdu, China [J]. Land, 2022, 11(10): 1820. DOI: 10.3390/land11101820
[11] 王一茹, 朱国鹏, 刘铁冬. 基于景观指数分析的海口市建成区绿地景观格局动态变化研究[J]. 海南大学学报(自然科学版), 2021, 39(4): 407-413. [WANG Yiru, ZHU Guopeng, LIU Tiedong. Research on the dynamic change of green space landscape pattern in the built-up area of Haikou city based on landscape index analysis [J]. Natural Science Journal of Hainan University, 2021, 39(4): 407-413] DOI: 10.15886/j.cnki.hdxbzkb.2021.0051
[12] 刘琴琴, 李明诗, 王楠, 等. 合肥市公园绿地空间可达性不同度量方法的比较[J]. 生态学杂志, 2023, 42(9): 2276-2285. [LIU Qinqin, LI Mingshi, WANG Nan, et al. Differences in measurement methods for quantifying spatial accessibility of park green spaces in Hefei city [J]. Chinese Journal of Ecology, 2023, 42(9): 2276-2285] DOI: 10.13292/j.1000-4890.202309.028
[13] 朱媛媛, 汪孟, 胡淼, 等. 武汉市公园绿地空间可达性及优化路径研究[J]. 华中师范大学学报(自然科学版), 2023, 57(3): 447-456. [ZHU Yuanyuan, WANG Meng, HU Miao, et al. Spatial accessibility and path optimization of green space in Wuhan city [J]. Journal of Central China Normal University(Natural Sciences), 2023, 57(3): 447-456] DOI: 10.19603/j.cnki.1000-1190.2023.03.015
[14] 幸丽君, 杜赛南, 仝照民, 等. 环境正义视阈下城市公园绿地时空可达性及其影响因素[J]. 生态学报, 2023, 43(13): 5370-5382. [XING Lijun, DU Sainan, TONG Zhaomin, et al. Spatial and temporal accessibility of urban green space and its influencing factors in Wuhan from the perspective of environmental justice [J]. Acta Ecologica Sinica, 2023, 43(13): 5370-5382] DOI: 10.5846/ stxb202203290782
[15] SOLTANIFARD H, ROSHANDEL T, GHODRATI S. Assessment and ranking of influencing factors in the relationship between spatial patterns of urban green spaces and socioeconomic indices in Mashhad urban districts, Iran [J]. Modeling Earth Systems and Environment, 2020, 6(3): 1589-1605. DOI: 10.1007/s40808-020-00776-z
[16] WU Longfeng, KIM S K. Does socioeconomic development lead to more equal distribution of green space? Evidence from Chinese cities [J]. Science of the Total Environment, 2021, 757: 143780. DOI: 10.1016/j.scitotenv.2020.143780
[17] 王俊帝, 刘志强, 刘俪胤, 等. 基于地理探测器的中国典型样带建成区绿地率空间分异的影响机理研究[J]. 生态经济, 2020, 36(10): 104-111. [WANG Jundi, LIU Zhiqiang, LIU Liyin, et al. Study on the influencing mechanism of spatial differentiation of green rate of built district of typical transects in China based on Geodetector [J]. Ecological Economy, 2020, 36(10): 104-111]
[18] 刘志强, 周筱雅, 王俊帝. 中国市域建成区绿地率的空间演变[J]. 城市问题, 2019(9): 28-36. [LIU Zhiqiang, ZHOU Xouya, WANG Jundi. Spatial evolution of green space rate in urban built-up areas in China [J]. Urban Problems, 2019(9): 28-36] DOI: 10.13239/j.bjsshkxy.cswt.190904
[19] YIN Jiadi, FU Ping, CHESHMEHZANGI A, et al. Investigating the changes in urban green-space patterns with urban land-use changes: A case study in Hangzhou, China [J]. Remote Sensing, 2022, 14(21): 5410. DOI: 10.3390/rs14215410
[20] 申世广, 刘祥, 孙新旺, 等. 我国设区市绿化覆盖率与绿地率区域耦合差异分析——基于干湿气候区划的视角[J]. 西北林学院学报, 2020, 35(4): 236-241. [SHEN Shiguang, LIU Xiang, SUN Xinwang, et al. Regional coupling difference of green coverage rate and green space rate of the cities with districts in China: A perspective based on day and wet climate zoning [J]. Journal of Northwest Forestry University, 2020, 35(4): 236-241] DOI: 10.3969/j.issn.1001-7461.2020.04.37
[21] MISIUNE I, JULIAN J P, VETEIKIS D. Pull and push factors for use of urban green spaces and priorities for their ecosystem services: Case study of Vilnius, Lithuania [J]. Urban Forestry and Urban Greening, 2021, 58: 126899. DOI: 10.1016/j.ufug.2020.126899
[22] 辛儒鸿, 曾坚, 梁晨. 城市绿地休闲服务供需失衡关键区识别与规划干预优先级划分[J]. 地理学报, 2023, 78(3): 762-774. [XIN Ruhong, ZENG Jian, LIANG Chen. Identification of key areas of supply-demand imbalance of urban green space recreational service and prioritization of planning interventions [J]. Acta Geographica Sinica, 2023, 78(3): 762-774] DOI: 10.11821/dlxb202303016
[23] 牛妍妍, 於家, 陆大伟, 等. 开放性公共场所疏散引导人布局优化研究——以上海市徐汇区滨江绿地空间为例[J]. 地理科学进展, 2023, 42(2): 301-315. [NIU Yanyan, YU Jia, LU Dawei, et al. Allocation optimization of evacuation leaders in open public places: A case study of Binjiang Green Space in Xuhui District, Shanghai [J]. Progress in Geography, 2023, 42(2): 301-315 ] DOI: 10.18306/dlkxjz.2023.02.008
[24] 金云峰, 杜伊, 周艳, 等. 公园城市视角下基于空间治理的区域绿地管控与上海郊野公园规划实践[J].城乡规划, 2019(1): 23-30. [JIN Yunfeng, DU Yi, ZHOU Yan, et al. Regional green space control and Shanghai country park planning practice based on spatial governance from the perspective of park city [J]. Urban and Rural Planning, 2019(1): 23-30] DOI: 10.12049/j.urp.201901003
[25] PAN Yajun, TENG Tangwei, WANG Shengpeng, et al. Impact and mechanism of urbanization on urban green development in the Yangtze River Economic Belt [J]. Ecological Indicators, 2024, 158: 111612. DOI: 10.1016/j.ecolind.2024.111612
[26] 宋洋, 贺灿飞, 徐阳, 等. 中国城市公园绿地供需时空格局演化及驱动机制[J]. 自然资源学报, 2023, 38(5): 1194-1209. [SONG Yang, HE Canfei, XU Yang, et al. Spatio-temporal evolution and driving mechanism of supply and demand of urban park green space in China [J]. Journal of Natural Resources, 2023, 38(5): 1194-1209] DOI: 10.31497/zrzyxb.20230506
[27] 虞金龙, 施惠珠, 吴筱怡. 城市绿地更新中场所精神的思考——以上海北外滩滨江绿地为例[J]. 中国园林, 2022, 38(10): 38-43. [YU Jinlong, SHI Huizhu, QU Xiaoyi, et al. Thoughts on the genius loci in the renewal of urban green space: A case study of the riverside green space in the North Bund, Shanghai [J]. Chinese Landscape Architecture, 2022, 38(10): 38-43] DOI: 10.19775/j.cla.2022.10.0038
[28] 唐承丽, 陈伟杨, 吴佳敏, 等. 长江经济带开发区空间分布与产业集聚特征研究[J]. 地理科学, 2020, 40(4): 657-664. [TANG Chengli, CHEN Weiyang, WU Jiamin, et al. Spatial distribution and industrial agglomeration characteristics of development zones in the Yangtze River Economic Belt [J]. Scientia Geographica Sinica, 2020, 40(4): 657-664] DOI: 10.13249/j.cnki.sgs.2020.04.018
[29] 辜寄蓉, 唐伟, 郝建明, 等. 长江经济带资源禀赋现状分析——基于地理国情普查[J]. 中国国土资源经济, 2017, 30(7): 46-52. [GU Jirong, TANG Wei, HAO Jianming, et al. Resources endowment along Yangtze River Economic Belt—based on geographical conditions census [J]. Natural Resource Economics of China, 2017, 30(7): 46-52]
[30] 王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116-134. [WANG Jingfeng, XU Chengdong. Geodetector: Principle and prospective [J]. Acta Geographica Sinica, 2017, 72(1): 116-134] DOI: 10.11821/dlxb201701010
[31] CHENG Peng, MIN Min, HU Weiyan, et al. A framework for fairness evaluation and improvement of urban green space: A case of Wuhan metropolitan area in China [J]. Forests, 2021, 12(7): 890. DOI: 10.3390/f12070890
[32] KUANG Wenhui, DOU Yinyin. Investigating the patterns and dynamics of urban green space in China's 70 major cities using satellite remote sensing [J]. Remote Sensing, 2020, 12(12): 1929. DOI: 10.3390/rs12121929
[33] WANG Huimin, LIN Canrui, OU Sihua, et al. Evolutionary characteristics and driving forces of green space in Guangzhou from a zoning perspective [J]. Forests, 2024, 15(1): 135. DOI: 10.3390/f15010135
[34] CHEN Chunyu, BI Linglan, ZHU Kuanfan. Study on spatial-temporal change of urban green space in Yangtze River Economic Belt and its driving mechanism [J]. International Journal of Environmental Research and Public Health, 2021, 18(23): 12498. DOI: 10.3390/ijerph182312498
[35] YANG Zhiqi, FANG Chuanglin, MU Xufang, et al. Urban green space quality in China: Quality measurement, spatial heterogeneity pattern and influencing factor [J]. Urban Forestry and Urban Greening, 2021, 66: 127381. DOI: 10.1016/j.ufug.2021.127381
[36] 崔佳奇, 刘宏涛, 陈媛媛. 中国城市建成区绿化覆盖率变化特征及影响因素分析[J]. 生态环境学报, 2021, 30(2): 331-339. [CUI Jiaqi, LIU Hongtao, CHEN Yuanyuan. Changes in green coverage rate of urban built-up areas in China and influencing factors [J]. Ecology and Environmental Sciences, 2021, 30(2): 331-339] DOI: 10.16258/j.cnki.1674-5906.2021.02.012
[37] ZHAO Juanjuan, CHEN Shengbin, JIANG Bo, et al. Temporal trend of green space coverage in China and its relationship with urbanization over the last two decades [J]. Science of the Total Environment, 2013, 442: 455-465. DOI: 10.1016/j.scitotenv.2012.10.014
[38] WANG Xiaofeng, LI Yuehao, CHU Bingyang, et al. Spatiotemporal dynamics and driving forces of ecosystem changes: A case study of the national barrier zone, China [J]. Sustainability, 2020, 12(16): 6680. DOI: 10.3390/su12166680
[39] ZHAO Liang, CHEN Weizhen. Estimating urban green space production in the macro economy: From public goods to a profitable method of investment [J]. Urban Forestry and Urban Greening, 2018, 33: 16-26. DOI: 10.1016/j.ufug.2018.04.017
[40] WU Zhen, CHEN Ruishan, MEADOWS M E, et al. Changing urban green spaces in Shanghai: Trends, drivers and policy implications [J]. Land Use Policy, 2019, 87: 104080. DOI: 10.1016/j.landusepol.2019.104080

相似文献/References:

[1]李红梅 周秉荣*,申红艳,肖宏斌.青海高原干旱时空分异特征及发生风险研究[J].山地学报,2019,(02):230.[doi:10.16089/j.cnki.1008-2786.000417]
　LI Hongmei,ZHOU Bingrong*,SHEN Hongyan XIAO Hongbing.Research on Temporal and Spatial Differentiation and Occurrence Risks of Drought in Qinghai, China[J].Mountain Research,2019,(2):230.[doi:10.16089/j.cnki.1008-2786.000417]
[2]朱 钰,刘时银*,易 颖,等.“三江并流区”水储量的时空变化特征及其对ENSO的响应[J].山地学报,2020,(2):165.[doi:10.16089/j.cnki.1008-2786.000499]
　ZHU Yu,LIU Shiyin*,YI Ying,et al.Spatiotemporal Changes of Terrestrial Water Storage in Three Parallel River Basins and Its Response to ENSO[J].Mountain Research,2020,(2):165.[doi:10.16089/j.cnki.1008-2786.000499]
[3]苗培培,赵筱青*,普军伟,等.喀斯特山区生态系统服务权衡/协同时空分异研究——以云南广南县为例[J].山地学报,2023,(1):103.[doi:10.16089/j.cnki.1008-2786.000734]
　MIAO Peipei,ZHAO Xiaoqing*,PU Junwei,et al.Spatiotemporal Differentiation of Ecosystem Service Synergy/Trade-Offs in the Mountainous Karst Areas: A Case Study of Guangnan County, Yunnan, China[J].Mountain Research,2023,(2):103.[doi:10.16089/j.cnki.1008-2786.000734]

备注/Memo

备注/Memo:
收稿日期(Received date): 2023- 07-22; 改回日期(Accepted date): 2024- 03-16
基金项目(Foundation item): 国家自然科学基金(42101258); 山东省自然科学基金(ZR2019QD006)。[National Natural Science Foundation of China(42101258); Natural Science Foundation of Shandong(ZR2019QD006)]
作者简介(Biography): 莫钧雄(1997-),男,广西贵港人,硕士研究生,主要研究方向:土地利用变化的生态环境效应及土地利用冲突。[MO Junxiong(1997-), male, born in Guigang, Guangxi, M.Sc. candidate, research on ecological and environmental effects of land use change and land use conflict] E-mail: mjx461@163.com
*通讯作者(Corresponding author): 孙丕苓(1984-),女,博士,副教授,主要研究方向:土地利用/覆被变化及其生态效应与土地利用多功能。[SUN Piling(1984-), female, Ph.D., associate professor, research on land use/cover change, land ecological effects and land use multi-function] E-mail: spling86@qfnu.edu.cn
更新日期/Last Update: 2024-03-30