Urban growth simulation guided by ecological constraints in Beijing city: Methods and implications for spatial planning
文献类型：期刊论文
| 作者 | Deng Yu1,3; Liu Yanxu1; Fu Bojie1,2 |
| 刊名 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
 |
| 出版日期 | 2019-08-01 |
| 卷号 | 243页码:402-410 |
| 关键词 | Urban growth scenario Ecological loss Coupling model Policy tools Urban planning |
| ISSN号 | 0301-4797 |
| DOI | 10.1016/j.jenvman.2019.04.087 |
| 通讯作者 | Fu Bojie(bfu@rcees.ac.cn) |
| 英文摘要 | An ecologically constrained and scenario oriented urban growth simulation provides an effective means to address and mitigate ecological impacts resulting from urban expansion. However, current urban growth simulations usually set ecological indicators as explanatory variables in the model, while ignoring the trade-off relationship between the requirement for additional urban space and the prevention of ecological loss. In this study, ecological loss was set as a constraint parallel to the urban growth simulation indicator system. The Minimum losses of key ecosystem functions were set as constraints in order to realize optimized urban growth pattern. Taking Beijing's urban growth from 2000 to 2010 as a case, we proposed an optimized coupling model with ecological loss as a constraint in urban growth simulation. The results showed a 22.96% reduction in the total amount of ecological loss under the ecological constraint. According to the urban growth simulation, the "constant growth scenario" had the least ecological loss. Moreover, a combination of multiple ecosystem functions is required for describing the ecological constraint. We suggest that ecological constraint in an urban growth simulation model could be an effective policy tool to plan urban expansion and provide more accurate support for the formulation of spatial planning. |
| WOS关键词 | LAND-USE CHANGE ; TIANJIN-HEBEI REGION ; ECOSYSTEM SERVICES ; METROPOLITAN-AREAS ; PROTECTED AREAS ; URBANIZATION ; LANDSCAPE ; IMPACTS ; CHINA ; EXPANSION |
| 资助项目 | National Natural Science Foundation of China[41801059] ; National Natural Science Foundation of China[41601164] ; State Key Laboratory of Earth Surface Processes and Resource Ecology in China[2017-KF-06] ; Youth Innovation Promotion Association, Chinese Academy of Sciences[2019055] ; Programme of Excellent Young Scientists of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences[2017RC202] ; Fundamental Research Funds for the Central Universities in China |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000471089300040 |
| 出版者 | ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD |
| 资助机构 | National Natural Science Foundation of China ; State Key Laboratory of Earth Surface Processes and Resource Ecology in China ; Youth Innovation Promotion Association, Chinese Academy of Sciences ; Programme of Excellent Young Scientists of the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences ; Fundamental Research Funds for the Central Universities in China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/58664]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Fu Bojie |
| 作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Deng Yu,Liu Yanxu,Fu Bojie. Urban growth simulation guided by ecological constraints in Beijing city: Methods and implications for spatial planning[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2019,243:402-410. |
| APA | Deng Yu,Liu Yanxu,&Fu Bojie.(2019).Urban growth simulation guided by ecological constraints in Beijing city: Methods and implications for spatial planning.JOURNAL OF ENVIRONMENTAL MANAGEMENT,243,402-410. |
| MLA | Deng Yu,et al."Urban growth simulation guided by ecological constraints in Beijing city: Methods and implications for spatial planning".JOURNAL OF ENVIRONMENTAL MANAGEMENT 243(2019):402-410. |
入库方式： OAI收割
来源：地理科学与资源研究所
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