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Understanding the spatiotemporal variation of urban land expansion in oasis cities by integrating remote sensing and multi-dimensional DPSIR-based indicators
Liu, Yaqun1,2; Song, Wei1; Deng, Xiangzheng1,2,3
2019
Source PublicationECOLOGICAL INDICATORS
ISSN1470-160X
Volume96Pages:23-37
Corresponding AuthorSong, Wei(songw@igsnrr.ac.cn)
AbstractRapid urban land expansion not only stimulates socioeconomic development, but can lead to negative impacts that threaten regional food security, ecological construction, and sustainable urban development, including losses of cropland and habitats, the creation of housing bubbles, and reductions in biodiversity. Because these economic-socio-ecological problems are generally more serious in ecologically fragile areas, this study focuses on trends seen in Ganzhou District, a typical oasis city within the Heihe River Basin (HRB) in an arid-to-semi-arid area of China. We apply a remote-sensing (RS)-based method that incorporates 11 dimensional features of Thematic Mapper and Enhanced Thematic Mapper Plus (TM/ETM +) images to map changes in urban land, and also develop a series of multi-dimensional indicators within a drivers, pressures, states, impacts, and responses (DPSIR) framework to quantify urban land expansion. The results of this study show that the urban land area of Ganzhou District in 2016 had expanded by 394.43% from 1987 levels, from 1979.64 ha to 9787.86 ha. These increasing pressures, jointly driven by gross domestic product (GDP), urban population, cropland area, and the industrial structure indicator (ISI), have led to the worsening economic-socio-ecological states and impacts of urban land expansion. Specifically, between 1987 and 2016, expansion intensity (EIPI) and expansion rate pressure indicators (ERPI) increased from 60.27 ha/a to 520.88 ha/a, and from 3.04%/a to 10.21%/a, respectively. Thus, the state indicators of economic development (EDSI), population carrying capacity (FDSI), food security (FSSI), and ecological construction (ECSI) decreased by 2.21 x 10(3) USD/ha, 17.62 population/ha, 34.20, and 10.80, respectively. Moreover, the impact indicators of economic development (EDII), population carrying capacity (FDII), and food security (FSII) decreased by 150.68 x 10(3) USD/ha, 62.12 population/ha, and 27.31, respectively, while the ecological construction impact indicator (ECII) increased by 29.39 between 1997 and 2007 and decreased by 13.31 between 2007 and 2016. Data also show that the area and proportion of cropland and ecological land occupied by urban land expansion increased over time. We therefore propose a series of economic-socio-ecological responses to help limit urban sprawl and foster compact green cities. Measures include planning urban growth boundaries, revitalizing urban centers and brownfields, using and reusing urban land more efficiently, strengthening land regulations, curbing excessive cropland expansion, cultivating more urban green spaces, and optimizing the trade-offs and synergies between multiple conflicting dimensions.
KeywordUrbanization Urban land use changes Economic-socio-ecological indicators Support vector machine Sustainable urban development Urban management and planning
DOI10.1016/j.ecolind.2018.01.029
WOS KeywordHEIHE RIVER-BASIN ; DECISION-SUPPORT-SYSTEM ; ECOSYSTEM SERVICES ; COVER CHANGE ; ENVIRONMENTAL-IMPACT ; ECONOMIC-GROWTH ; LOESS PLATEAU ; CHINA ; URBANIZATION ; PATTERNS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41671177] ; National Natural Science Foundation of China[41501192] ; National Natural Science Foundation of China[91325302]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Environmental Sciences
WOS IDWOS:000464889500004
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/48211
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSong, Wei
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, 11A Datun Rd, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Ctr Chinese Agr Policy, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Liu, Yaqun,Song, Wei,Deng, Xiangzheng. Understanding the spatiotemporal variation of urban land expansion in oasis cities by integrating remote sensing and multi-dimensional DPSIR-based indicators[J]. ECOLOGICAL INDICATORS,2019,96:23-37.
APA Liu, Yaqun,Song, Wei,&Deng, Xiangzheng.(2019).Understanding the spatiotemporal variation of urban land expansion in oasis cities by integrating remote sensing and multi-dimensional DPSIR-based indicators.ECOLOGICAL INDICATORS,96,23-37.
MLA Liu, Yaqun,et al."Understanding the spatiotemporal variation of urban land expansion in oasis cities by integrating remote sensing and multi-dimensional DPSIR-based indicators".ECOLOGICAL INDICATORS 96(2019):23-37.
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