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'Urban-Rural' Gradient Analysis of Landscape Changes around Cities in Mountainous Regions: A Case Study of the Hengduan Mountain Region in Southwest China
Dai, Erfu1,2; Wang, Yahui1,2; Ma, Liang1,2; Yin, Le1,2; Wu, Zhuo3
2018-04-01
Source PublicationSUSTAINABILITY
ISSN2071-1050
Volume10Issue:4Pages:21
Corresponding AuthorWang, Yahui(wangyah.15b@igsnrr.ac.cn)
AbstractIt is of great significance to explore landscape pattern changes around urban areas to maintain regional ecological security and encourage sustainable development. Few studies have focused on the small cities located in the mountain regions. In this study, we established an 'urban-rural' gradient, and combined with landscape metrics to analyze the spatial-temporal changes of the landscape pattern around cities located in the Hengduan Mountain region in China. We also explored the impacts of topography on urban sprawl using the 'relief degree of land surface' index. Our results showed that: (1) There was an inverse relationship between the urban sprawl and restricted topography; (2) From the city center to rural areas, the landscape dominance degree and connectivity decreased initially and then increased, while the diversity presented an opposite trend and the shape complexity increased first and then fluctuated; (3) For temporal changes, in the internal buffers, the landscape dominance degree and connectivity increased, and the shape complexity and diversity decreased. However, in the outer buffers, the landscape showed opposite trends. It is advisable to use gradient and landscape metrics to explore landscape pattern changes. Similar to cities on plains, the landscape around mountain cities exhibits a circular structure, however, it also possesses unique characteristics when facing topographic restrictions.
Keywordlandscape pattern Hengduan Mountain region urban-rural gradient landscape metrics urbanization land use changes
DOI10.3390/su10041019
WOS KeywordLAND-USE CHANGE ; ECOSYSTEM SERVICES ; DRIVING FORCES ; URBANIZATION ; DYNAMICS ; PATTERNS ; ECOLOGY ; COVER ; METRICS ; IMPACT
Indexed BySCI
Language英语
Funding ProjectNational Key Basic Research Program of China (973Program)[2015CB452702] ; National Natural Science Foundation of China[41571098] ; National Natural Science Foundation of China[41530749] ; Key Programs of the Chinese Academy of Sciences[ZDRW-ZS-2016-6-4] ; Major Consulting Project of Strategic Development Institute, Chinese Academy of Sciences[Y02015003]
Funding OrganizationNational Key Basic Research Program of China (973Program) ; National Natural Science Foundation of China ; Key Programs of the Chinese Academy of Sciences ; Major Consulting Project of Strategic Development Institute, Chinese Academy of Sciences
WOS Research AreaScience & Technology - Other Topics ; Environmental Sciences & Ecology
WOS SubjectGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY ; Environmental Sciences ; Environmental Studies
WOS IDWOS:000435188000123
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54676
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Yahui
Affiliation1.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Guangzhou Univ, Sch Geog Sci, Guangzhou 510006, Guangdong, Peoples R China
Recommended Citation
GB/T 7714
Dai, Erfu,Wang, Yahui,Ma, Liang,et al. 'Urban-Rural' Gradient Analysis of Landscape Changes around Cities in Mountainous Regions: A Case Study of the Hengduan Mountain Region in Southwest China[J]. SUSTAINABILITY,2018,10(4):21.
APA Dai, Erfu,Wang, Yahui,Ma, Liang,Yin, Le,&Wu, Zhuo.(2018).'Urban-Rural' Gradient Analysis of Landscape Changes around Cities in Mountainous Regions: A Case Study of the Hengduan Mountain Region in Southwest China.SUSTAINABILITY,10(4),21.
MLA Dai, Erfu,et al."'Urban-Rural' Gradient Analysis of Landscape Changes around Cities in Mountainous Regions: A Case Study of the Hengduan Mountain Region in Southwest China".SUSTAINABILITY 10.4(2018):21.
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