Simulation of Regionally Ecological Land Based on a Cellular Automation Model: A Case Study of Beijing, China
文献类型：SCI/SSCI论文
| 作者 | Xie H. L. ; Kung C. C. ; Zhang Y. T. ; Li X. B. |
| 发表日期 | 2012 |
| 关键词 | ecological land land use cellular automation model ecosystem management urban-growth biodiversity conservation cover change gis integration priorities patterns |
| 英文摘要 | Ecological land is like the "liver" of a city and is very useful to public health. Ecological land change is a spatially dynamic non-linear process under the interaction between natural and anthropogenic factors at different scales. In this study, by setting up natural development scenario, object orientation scenario and ecosystem priority scenario, a Cellular Automation (CA) model has been established to simulate the evolution pattern of ecological land in Beijing in the year 2020. Under the natural development scenario, most of ecological land will be replaced by construction land and crop land. But under the scenarios of object orientation and ecosystem priority, the ecological land area will increase, especially under the scenario of ecosystem priority. When considering the factors such as total area of ecological land, loss of key ecological land and spatial patterns of land use, the scenarios from priority to inferiority are ecosystem priority, object orientation and natural development, so future land management policies in Beijing should be focused on conversion of cropland to forest, wetland protection and prohibition of exploitation of natural protection zones, water source areas and forest parks to maintain the safety of the regional ecosystem. |
| 出处 | International Journal of Environmental Research and Public Health |
| 卷 | 9 |
| 期 | 8 |
| 页 | 2986-3001 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 1660-4601 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/30718]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Xie H. L.,Kung C. C.,Zhang Y. T.,et al. Simulation of Regionally Ecological Land Based on a Cellular Automation Model: A Case Study of Beijing, China. 2012. |
入库方式： OAI收割
来源：地理科学与资源研究所
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