Zhiheng Yang , Xuehua Cui , Yanling Dong , Jiawei Guan , Jing Wang , Zenglei Xi , Chenxi Li
{"title":"协同增强城市生态复原力的时空异质性及其影响因素:来自中国黄河流域的证据","authors":"Zhiheng Yang , Xuehua Cui , Yanling Dong , Jiawei Guan , Jing Wang , Zenglei Xi , Chenxi Li","doi":"10.1016/j.apgeog.2024.103459","DOIUrl":null,"url":null,"abstract":"<div><div>Urban ecological resilience (UER) reflects the ability of cities to adapt to environmental changes and cope with natural disasters. Further, UER is an important perspective for understanding human–land relations in the Yellow River Basin (YRB). We constructed a novel system of UER evaluation indicators from the perspective of synergistic enhancement, with 99 cities in the YRB as objects for the research conducted from 2011 to 2021. The spatiotemporal heterogeneity and network pattern of UER were measured using the Theil index and modified gravity model. The factors influencing UER in the YRB were analysed using a multiscale geographically weighted regression model. The results show that (1) regarding time-series analysis, the UER in the YRB shows a fluctuating upward trend from 20.89 in 2011 to 26.23 in 2021, with the contribution of ecological image being the largest. The UER at different reaches, urban agglomerations, and cities varied considerably. (2) Regarding spatial analysis, the UER has a ‘center-periphery’ spatial distribution pattern dominated by provincial capital cities. The spatial network shows a '几'-shaped distribution pattern similar to the YRB mainstream distribution. Regarding UER connectivity, the ability for cross-regional joint development has improved. (3) The main influencing factors were urbanisation rate, education level, Normalized Difference Vegetation Index, and upgrading of the industrial structure, which represent urban development progress and geographical ecological characteristics. This study expands UER measurement and provides a basis and reference for synergistic enhancement of UER in the YRB.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"173 ","pages":"Article 103459"},"PeriodicalIF":4.0000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatio-temporal heterogeneity and influencing factors in the synergistic enhancement of urban ecological resilience: Evidence from the Yellow River Basin of China\",\"authors\":\"Zhiheng Yang , Xuehua Cui , Yanling Dong , Jiawei Guan , Jing Wang , Zenglei Xi , Chenxi Li\",\"doi\":\"10.1016/j.apgeog.2024.103459\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Urban ecological resilience (UER) reflects the ability of cities to adapt to environmental changes and cope with natural disasters. Further, UER is an important perspective for understanding human–land relations in the Yellow River Basin (YRB). We constructed a novel system of UER evaluation indicators from the perspective of synergistic enhancement, with 99 cities in the YRB as objects for the research conducted from 2011 to 2021. The spatiotemporal heterogeneity and network pattern of UER were measured using the Theil index and modified gravity model. The factors influencing UER in the YRB were analysed using a multiscale geographically weighted regression model. The results show that (1) regarding time-series analysis, the UER in the YRB shows a fluctuating upward trend from 20.89 in 2011 to 26.23 in 2021, with the contribution of ecological image being the largest. The UER at different reaches, urban agglomerations, and cities varied considerably. (2) Regarding spatial analysis, the UER has a ‘center-periphery’ spatial distribution pattern dominated by provincial capital cities. The spatial network shows a '几'-shaped distribution pattern similar to the YRB mainstream distribution. Regarding UER connectivity, the ability for cross-regional joint development has improved. (3) The main influencing factors were urbanisation rate, education level, Normalized Difference Vegetation Index, and upgrading of the industrial structure, which represent urban development progress and geographical ecological characteristics. This study expands UER measurement and provides a basis and reference for synergistic enhancement of UER in the YRB.</div></div>\",\"PeriodicalId\":48396,\"journal\":{\"name\":\"Applied Geography\",\"volume\":\"173 \",\"pages\":\"Article 103459\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Geography\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0143622824002649\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Geography","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0143622824002649","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY","Score":null,"Total":0}
Spatio-temporal heterogeneity and influencing factors in the synergistic enhancement of urban ecological resilience: Evidence from the Yellow River Basin of China
Urban ecological resilience (UER) reflects the ability of cities to adapt to environmental changes and cope with natural disasters. Further, UER is an important perspective for understanding human–land relations in the Yellow River Basin (YRB). We constructed a novel system of UER evaluation indicators from the perspective of synergistic enhancement, with 99 cities in the YRB as objects for the research conducted from 2011 to 2021. The spatiotemporal heterogeneity and network pattern of UER were measured using the Theil index and modified gravity model. The factors influencing UER in the YRB were analysed using a multiscale geographically weighted regression model. The results show that (1) regarding time-series analysis, the UER in the YRB shows a fluctuating upward trend from 20.89 in 2011 to 26.23 in 2021, with the contribution of ecological image being the largest. The UER at different reaches, urban agglomerations, and cities varied considerably. (2) Regarding spatial analysis, the UER has a ‘center-periphery’ spatial distribution pattern dominated by provincial capital cities. The spatial network shows a '几'-shaped distribution pattern similar to the YRB mainstream distribution. Regarding UER connectivity, the ability for cross-regional joint development has improved. (3) The main influencing factors were urbanisation rate, education level, Normalized Difference Vegetation Index, and upgrading of the industrial structure, which represent urban development progress and geographical ecological characteristics. This study expands UER measurement and provides a basis and reference for synergistic enhancement of UER in the YRB.
期刊介绍:
Applied Geography is a journal devoted to the publication of research which utilizes geographic approaches (human, physical, nature-society and GIScience) to resolve human problems that have a spatial dimension. These problems may be related to the assessment, management and allocation of the world physical and/or human resources. The underlying rationale of the journal is that only through a clear understanding of the relevant societal, physical, and coupled natural-humans systems can we resolve such problems. Papers are invited on any theme involving the application of geographical theory and methodology in the resolution of human problems.