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Spatial influence of ecological networks on land use intensity
Yang, Jing1; Zeng, Chen1,2; Cheng, YiJiao1
2020-05-15
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume717Pages:17
Corresponding AuthorZeng, Chen(lunarzeng@126.com)
AbstractRapid urbanization resulted in widespread urban expansion and the fragmentation and isolation of large-scale ecological sources. Ecological sustainability has propelled the popularity and implementation of intensive land use programs worldwide, in China particularly. In this study, we explored the spatial spillover effect through ecological networks on intensive urban land use and the underlying driving mechanism using the Wuhan urban agglomeration as the case study area. First, we comprehensively measured land use intensity (LUI) from three dimensions: input, output, and landscape aggregation. Second, ecological sources were identified on the basis of land use maps, and ecological networks were constructed using the "minimum cumulative resistance" model. Then, the "gravity model" was applied to measure the spatial interaction among ecological sources and to construct spatial weight matrices for spatial modeling. Lastly, we devised a spatial Durbin model using the designed "ecological" spatial weight matrices to examine the influencing factors and the potential spatial interactions or constraints. The results showed that the average values of LUI in 2017 were almost 70 times higher than that in 2005 and the Jianghan District had the highest increment (91 times) from 2005 to 2017. LUI was primarily driven by socioeconomic development. Gross domestic product and proportion of tertiary sector exerted positive influences, whereas agricultural output value exhibited a negative effect on LUI in 2005 and 2017. A positive spatial autocorrelation of LUI was observed at the county level, and the spatial spillover effect was confirmed through ecological networks during intensive land use, indicating that ecological spatial influence is an important factor in explaining LUI. The findings help in exploring the spatial influence through ecological networks on LUI at the regional level and provide references for formulating relevant policies to achieve the ecological security of terrestrial ecosystems and coordinated and balanced regional sustainable development. (c) 2020 Elsevier B.V. All rights reserved.
KeywordEcological network Sustainable development Spatial spillover effect Wuhan urban agglomeration
DOI10.1016/j.scitotenv.2020.137151
WOS KeywordWUHAN URBAN AGGLOMERATION ; ECOSYSTEM SERVICES ; SECURITY PATTERN ; COVER PATTERN ; LANDSCAPE ; EXPANSION ; URBANIZATION ; OPTIMIZATION ; CONSERVATION ; CHANGZHOU
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41771563] ; China Postdoctoral Science Foundation[2019T12013] ; Independent Science and Technology Innovation Fund of Huazhong Agricultural University[2662018PY094]
Funding OrganizationNational Natural Science Foundation of China ; China Postdoctoral Science Foundation ; Independent Science and Technology Innovation Fund of Huazhong Agricultural University
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000519994800118
PublisherELSEVIER
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/133372
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZeng, Chen
Affiliation1.Huazhong Agr Univ, Dept Land Management, Wuhan 430070, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Yang, Jing,Zeng, Chen,Cheng, YiJiao. Spatial influence of ecological networks on land use intensity[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020,717:17.
APA Yang, Jing,Zeng, Chen,&Cheng, YiJiao.(2020).Spatial influence of ecological networks on land use intensity.SCIENCE OF THE TOTAL ENVIRONMENT,717,17.
MLA Yang, Jing,et al."Spatial influence of ecological networks on land use intensity".SCIENCE OF THE TOTAL ENVIRONMENT 717(2020):17.
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