{"title":"南京大都市区干岛强度时空动态及影响因素","authors":"Miao Liu , Yong Wang , Yan Zeng , Meng Wang","doi":"10.1016/j.ecolind.2025.114155","DOIUrl":null,"url":null,"abstract":"<div><div>With changes in the natural environment and the influence of human activities, the urban dry island (UDI) effect has gradually intensified globally, which has a great impact on the quality of life of urban residents. In this study, we analyzed the spatial and temporal characteristics of the UDI effect based on hourly relative humidity data from 54 meteorological stations in Nanjing metropolis and analyzed the effects of natural and human factors on changes of urban dry island intensity (UDII) using Geodetector tools and partial least squares structural equation modeling (PLS-SEM). The results of this study revealed the following. (1) The UDII in Nanjing metropolis showed a fluctuating downward trend between 2014 and 2020, and there were obvious differences between different seasons and between day and night, with the UDII being stronger at night and in winter. The UDII is strongest in the city center and gradually weakens toward the city periphery. (2) The average effects of human and natural factors in UDII are 0.42 and 0.31, respectively, indicating that human influences play a more prominent role in shaping UDII. (3) Urban structure (US) is a key latent variable that exacerbates UDII, whereas blue–green space (BGS) has a mitigating effect to a certain extent, and meteorological conditions (MC) indirectly exacerbate UDII by acting on blue–green space (BGS). (4) Although natural factors, such as air temperature (AT) and the fraction of vegetation cover (FVC), are also influential, their effects have been heavily modulated by humans in the context of high urbanization, which further highlights the dominant role of humans in UDII. This study provides new perspectives for understanding UDII and a scientific basis for optimizing the urban layout and improving the urban environment.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114155"},"PeriodicalIF":7.0000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatiotemporal dynamics and influencing factors of urban dry island intensity in Nanjing Metropolis, China\",\"authors\":\"Miao Liu , Yong Wang , Yan Zeng , Meng Wang\",\"doi\":\"10.1016/j.ecolind.2025.114155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>With changes in the natural environment and the influence of human activities, the urban dry island (UDI) effect has gradually intensified globally, which has a great impact on the quality of life of urban residents. In this study, we analyzed the spatial and temporal characteristics of the UDI effect based on hourly relative humidity data from 54 meteorological stations in Nanjing metropolis and analyzed the effects of natural and human factors on changes of urban dry island intensity (UDII) using Geodetector tools and partial least squares structural equation modeling (PLS-SEM). The results of this study revealed the following. (1) The UDII in Nanjing metropolis showed a fluctuating downward trend between 2014 and 2020, and there were obvious differences between different seasons and between day and night, with the UDII being stronger at night and in winter. The UDII is strongest in the city center and gradually weakens toward the city periphery. (2) The average effects of human and natural factors in UDII are 0.42 and 0.31, respectively, indicating that human influences play a more prominent role in shaping UDII. (3) Urban structure (US) is a key latent variable that exacerbates UDII, whereas blue–green space (BGS) has a mitigating effect to a certain extent, and meteorological conditions (MC) indirectly exacerbate UDII by acting on blue–green space (BGS). (4) Although natural factors, such as air temperature (AT) and the fraction of vegetation cover (FVC), are also influential, their effects have been heavily modulated by humans in the context of high urbanization, which further highlights the dominant role of humans in UDII. This study provides new perspectives for understanding UDII and a scientific basis for optimizing the urban layout and improving the urban environment.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"179 \",\"pages\":\"Article 114155\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X25010878\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25010878","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Spatiotemporal dynamics and influencing factors of urban dry island intensity in Nanjing Metropolis, China
With changes in the natural environment and the influence of human activities, the urban dry island (UDI) effect has gradually intensified globally, which has a great impact on the quality of life of urban residents. In this study, we analyzed the spatial and temporal characteristics of the UDI effect based on hourly relative humidity data from 54 meteorological stations in Nanjing metropolis and analyzed the effects of natural and human factors on changes of urban dry island intensity (UDII) using Geodetector tools and partial least squares structural equation modeling (PLS-SEM). The results of this study revealed the following. (1) The UDII in Nanjing metropolis showed a fluctuating downward trend between 2014 and 2020, and there were obvious differences between different seasons and between day and night, with the UDII being stronger at night and in winter. The UDII is strongest in the city center and gradually weakens toward the city periphery. (2) The average effects of human and natural factors in UDII are 0.42 and 0.31, respectively, indicating that human influences play a more prominent role in shaping UDII. (3) Urban structure (US) is a key latent variable that exacerbates UDII, whereas blue–green space (BGS) has a mitigating effect to a certain extent, and meteorological conditions (MC) indirectly exacerbate UDII by acting on blue–green space (BGS). (4) Although natural factors, such as air temperature (AT) and the fraction of vegetation cover (FVC), are also influential, their effects have been heavily modulated by humans in the context of high urbanization, which further highlights the dominant role of humans in UDII. This study provides new perspectives for understanding UDII and a scientific basis for optimizing the urban layout and improving the urban environment.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.