Change of impervious surface area and its impacts on urban landscape: an example of Shenyang between 2010 and 2017

Introduction One of the most striking features of urbanization is the replacement of the original natural land cover type by artificial impervious surface area (ISA). However, the extent of the contribution of various environmental factors, especially the growth of 3D space to ISA expansion, and the...

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Autores principales:	Wen Wu, Chunlin Li, Miao Liu, Yuanman Hu, Chunliang Xiu
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2020
Materias:	urban impervious surface landscape pattern boosted regression tree linear spectral mixture model driver analysis Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/cbe69ed67fcd41cb86b20747660f5e94
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spelling	oai:doaj.org-article:cbe69ed67fcd41cb86b20747660f5e942021-12-02T16:25:31ZChange of impervious surface area and its impacts on urban landscape: an example of Shenyang between 2010 and 20172332-887810.1080/20964129.2020.1767511https://doaj.org/article/cbe69ed67fcd41cb86b20747660f5e942020-12-01T00:00:00Zhttp://dx.doi.org/10.1080/20964129.2020.1767511https://doaj.org/toc/2332-8878Introduction One of the most striking features of urbanization is the replacement of the original natural land cover type by artificial impervious surface area (ISA). However, the extent of the contribution of various environmental factors, especially the growth of 3D space to ISA expansion, and the scope and mechanism of their influences in dramatically expanding cities, are yet to be determined. The boosted regression tree (BRT) model was adopted to analyze the main influencing factors and driving mechanisms of ISA change in Shenyang, China between 2010 and 2017. Outcomes The nearly complete-coverage ISA (≥0.7) increased from 42% in 2010 to 47% in 2017. The percentage of landscape with a high ISA fraction increased, while the landscape evenness and diversity of ISA decreased. The BRT analysis revealed that elevation, regional population density, and landscape class had the largest influences on the change of urban ISA, contributing 22.55%, 18.16%, and 11.18% to the model, respectively. Conclusion Overall, topographic and socioeconomic factors had the greatest influence on urban ISA change in Shenyang, followed by land use type and building pattern indices. The trend of high aggregation was strong in large commercial and residential areas. The 3D expansion of the city had an influence on its areal expansion.Wen WuChunlin LiMiao LiuYuanman HuChunliang XiuTaylor & Francis Grouparticleurban impervious surfacelandscape patternboosted regression treelinear spectral mixture modeldriver analysisEcologyQH540-549.5ENEcosystem Health and Sustainability, Vol 6, Iss 1 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	urban impervious surface landscape pattern boosted regression tree linear spectral mixture model driver analysis Ecology QH540-549.5
spellingShingle	urban impervious surface landscape pattern boosted regression tree linear spectral mixture model driver analysis Ecology QH540-549.5 Wen Wu Chunlin Li Miao Liu Yuanman Hu Chunliang Xiu Change of impervious surface area and its impacts on urban landscape: an example of Shenyang between 2010 and 2017
description	Introduction One of the most striking features of urbanization is the replacement of the original natural land cover type by artificial impervious surface area (ISA). However, the extent of the contribution of various environmental factors, especially the growth of 3D space to ISA expansion, and the scope and mechanism of their influences in dramatically expanding cities, are yet to be determined. The boosted regression tree (BRT) model was adopted to analyze the main influencing factors and driving mechanisms of ISA change in Shenyang, China between 2010 and 2017. Outcomes The nearly complete-coverage ISA (≥0.7) increased from 42% in 2010 to 47% in 2017. The percentage of landscape with a high ISA fraction increased, while the landscape evenness and diversity of ISA decreased. The BRT analysis revealed that elevation, regional population density, and landscape class had the largest influences on the change of urban ISA, contributing 22.55%, 18.16%, and 11.18% to the model, respectively. Conclusion Overall, topographic and socioeconomic factors had the greatest influence on urban ISA change in Shenyang, followed by land use type and building pattern indices. The trend of high aggregation was strong in large commercial and residential areas. The 3D expansion of the city had an influence on its areal expansion.
format	article
author	Wen Wu Chunlin Li Miao Liu Yuanman Hu Chunliang Xiu
author_facet	Wen Wu Chunlin Li Miao Liu Yuanman Hu Chunliang Xiu
author_sort	Wen Wu
title	Change of impervious surface area and its impacts on urban landscape: an example of Shenyang between 2010 and 2017
title_short	Change of impervious surface area and its impacts on urban landscape: an example of Shenyang between 2010 and 2017
title_full	Change of impervious surface area and its impacts on urban landscape: an example of Shenyang between 2010 and 2017
title_fullStr	Change of impervious surface area and its impacts on urban landscape: an example of Shenyang between 2010 and 2017
title_full_unstemmed	Change of impervious surface area and its impacts on urban landscape: an example of Shenyang between 2010 and 2017
title_sort	change of impervious surface area and its impacts on urban landscape: an example of shenyang between 2010 and 2017
publisher	Taylor & Francis Group
publishDate	2020
url	https://doaj.org/article/cbe69ed67fcd41cb86b20747660f5e94
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Change of impervious surface area and its impacts on urban landscape: an example of Shenyang between 2010 and 2017

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