Assessing Urban Greenness Fragmentation and Analysis of Its Associated Factors: A Case Study in Wuhan Metropolitan Area, China

Green vegetation plays a vital role in urban ecosystem services. Rapid urbanization often tends to induce urban vegetation cover fragmentation (UVCF) in cities and suburbs. Mapping the changes in the structure (aggregation) and abundance of urban vegetation cover helps to make improved policies for...

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Autores principales: Husheng Fang, Moquan Sha, Wenjuan Lin, Dai Qiu, Zongyao Sha
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
SVM
Acceso en línea:https://doaj.org/article/9fad5d126e34449091d446bb8b748628
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spelling oai:doaj.org-article:9fad5d126e34449091d446bb8b7486282021-11-25T17:53:03ZAssessing Urban Greenness Fragmentation and Analysis of Its Associated Factors: A Case Study in Wuhan Metropolitan Area, China10.3390/ijgi101107602220-9964https://doaj.org/article/9fad5d126e34449091d446bb8b7486282021-11-01T00:00:00Zhttps://www.mdpi.com/2220-9964/10/11/760https://doaj.org/toc/2220-9964Green vegetation plays a vital role in urban ecosystem services. Rapid urbanization often tends to induce urban vegetation cover fragmentation (UVCF) in cities and suburbs. Mapping the changes in the structure (aggregation) and abundance of urban vegetation cover helps to make improved policies for sustainable urban development. In this paper, a new distance-based landscape indicator to UVCF, Frag, was proposed first. Unlike many other landscape indicators, Frag measures UVCF by considering simultaneously both the structure and abundance of vegetation cover at local scales, and thus provides a more comprehensive perspective in understanding the spatial distribution patterns in urban greenness cover. As a case study, the urban greenness fragmentation indicated by Frag was demonstrated in Wuhan metropolitan area (WMA), China in 2015 and 2020. Support vector machine (SVM) was then designed to examine the impact on the Frag changes from the associated factors, including urbanization and terrain characteristics (elevation and slope). The Frag changes were mapped at different scales and modeled by SVM from the selected factors, which reasonably explained the Frag changes. Sensitivity analysis for the SVM model revealed that urbanization showed the most dominant factor for the Frag changes, followed by terrain elevation and slope. We conclude that Frag is an effective scale-dependent indicator to UVCF that can reflect changes in the structure and abundance of urban vegetation cover, and that modeling the impact of the associated factors on UVCF via the Frag indicator can provide essential information for urban planners.Husheng FangMoquan ShaWenjuan LinDai QiuZongyao ShaMDPI AGarticleurban landscapevegetation fragmentationurbanizationSVMGeography (General)G1-922ENISPRS International Journal of Geo-Information, Vol 10, Iss 760, p 760 (2021)
institution DOAJ
collection DOAJ
language EN
topic urban landscape
vegetation fragmentation
urbanization
SVM
Geography (General)
G1-922
spellingShingle urban landscape
vegetation fragmentation
urbanization
SVM
Geography (General)
G1-922
Husheng Fang
Moquan Sha
Wenjuan Lin
Dai Qiu
Zongyao Sha
Assessing Urban Greenness Fragmentation and Analysis of Its Associated Factors: A Case Study in Wuhan Metropolitan Area, China
description Green vegetation plays a vital role in urban ecosystem services. Rapid urbanization often tends to induce urban vegetation cover fragmentation (UVCF) in cities and suburbs. Mapping the changes in the structure (aggregation) and abundance of urban vegetation cover helps to make improved policies for sustainable urban development. In this paper, a new distance-based landscape indicator to UVCF, Frag, was proposed first. Unlike many other landscape indicators, Frag measures UVCF by considering simultaneously both the structure and abundance of vegetation cover at local scales, and thus provides a more comprehensive perspective in understanding the spatial distribution patterns in urban greenness cover. As a case study, the urban greenness fragmentation indicated by Frag was demonstrated in Wuhan metropolitan area (WMA), China in 2015 and 2020. Support vector machine (SVM) was then designed to examine the impact on the Frag changes from the associated factors, including urbanization and terrain characteristics (elevation and slope). The Frag changes were mapped at different scales and modeled by SVM from the selected factors, which reasonably explained the Frag changes. Sensitivity analysis for the SVM model revealed that urbanization showed the most dominant factor for the Frag changes, followed by terrain elevation and slope. We conclude that Frag is an effective scale-dependent indicator to UVCF that can reflect changes in the structure and abundance of urban vegetation cover, and that modeling the impact of the associated factors on UVCF via the Frag indicator can provide essential information for urban planners.
format article
author Husheng Fang
Moquan Sha
Wenjuan Lin
Dai Qiu
Zongyao Sha
author_facet Husheng Fang
Moquan Sha
Wenjuan Lin
Dai Qiu
Zongyao Sha
author_sort Husheng Fang
title Assessing Urban Greenness Fragmentation and Analysis of Its Associated Factors: A Case Study in Wuhan Metropolitan Area, China
title_short Assessing Urban Greenness Fragmentation and Analysis of Its Associated Factors: A Case Study in Wuhan Metropolitan Area, China
title_full Assessing Urban Greenness Fragmentation and Analysis of Its Associated Factors: A Case Study in Wuhan Metropolitan Area, China
title_fullStr Assessing Urban Greenness Fragmentation and Analysis of Its Associated Factors: A Case Study in Wuhan Metropolitan Area, China
title_full_unstemmed Assessing Urban Greenness Fragmentation and Analysis of Its Associated Factors: A Case Study in Wuhan Metropolitan Area, China
title_sort assessing urban greenness fragmentation and analysis of its associated factors: a case study in wuhan metropolitan area, china
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/9fad5d126e34449091d446bb8b748628
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