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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2021
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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) |
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urban landscape vegetation fragmentation urbanization SVM Geography (General) G1-922 |
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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 |
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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 |
work_keys_str_mv |
AT hushengfang assessingurbangreennessfragmentationandanalysisofitsassociatedfactorsacasestudyinwuhanmetropolitanareachina AT moquansha assessingurbangreennessfragmentationandanalysisofitsassociatedfactorsacasestudyinwuhanmetropolitanareachina AT wenjuanlin assessingurbangreennessfragmentationandanalysisofitsassociatedfactorsacasestudyinwuhanmetropolitanareachina AT daiqiu assessingurbangreennessfragmentationandanalysisofitsassociatedfactorsacasestudyinwuhanmetropolitanareachina AT zongyaosha assessingurbangreennessfragmentationandanalysisofitsassociatedfactorsacasestudyinwuhanmetropolitanareachina |
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1718411876167057408 |