Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.ecocom.2010.02.001 |
Combining system dynamic model and CLUE-S model to improve land use scenario analyses at regional scale: A case study of Sangong watershed in Xinjiang, China | |
Luo, Geping1,3![]() ![]() | |
通讯作者 | Luo, Geping |
来源期刊 | ECOLOGICAL COMPLEXITY
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ISSN | 1476-945X |
出版年 | 2010 |
卷号 | 7期号:2页码:198-207 |
英文摘要 | Uses of models of land use change are primary tools for analyzing the causes and consequences of land use changes, assessing the impacts of land use change on ecosystems and supporting land use planning and policy. However, no single model is able to capture all of key processes essential to explore land use change at different scales and make a full assessment of driving factors and impacts. Based on the multi-scale characteristics of land use change, combination and integration of currently existed models of land use change could be a feasible solution. Taken Sangong watershed as a case study, this paper describes an integrated methodology in which the conversion of land use and its effect model (CLUE), a spatially explicit land use change model, has been combined with a system dynamic model (SD) to analyze land use dynamics at different scales. A SD model is used to calculate area changes in demand for land types as a whole while a CLUE model is used to transfer these demands to land use patterns. Without the spatial consideration, the SD model ensures an appropriate treatment of macro-economic, demographic and technology developments, and changes in economic policies influencing the demand and supply for land use in a specific region. With CLUE model the land use change has been simulated at a high spatial resolution with the spatial consideration of land use suitability, spatial policies and restrictions to satisfy the balance between land use demand and supply. The application of the combination of SD and CLUE model in Sangong watershed suggests that this methodology have the ability to reflect the complex behaviors of land use system at different scales to some extent and be a useful tool for analysis of complex land use driving factors such as land use policies and assessment of its impacts on land use change. The established SD model was fitted or calibrated with the 1987-1998 data and validated with the 1998-2004 data; combining SD model with CLUE-S model, future land use scenarios were analyzed during 2004-2030. This work could be used for better understanding of the possible impacts of land use change on terrestrial ecosystem and provide scientific support for land use planning and managements of the watershed. (C) 2010 Elsevier B.V. All rights reserved. |
英文关键词 | System dynamic model CLUE model Sangong watershed Land use change Scenario analyses |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000279387800009 |
WOS关键词 | DRIVING FORCES ; MANAGEMENT ; SUSTAINABILITY ; OASES |
WOS类目 | Ecology |
WOS研究方向 | Environmental Sciences & Ecology |
来源机构 | 中国科学院新疆生态与地理研究所 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/163882 |
作者单位 | 1.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Xinjiang, Peoples R China; 2.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China; 3.Chinese Acad Sci, XIEG UCR Int Ctr Arid Land Ecol, Urumqi 830011, Xinjiang, Peoples R China |
推荐引用方式 GB/T 7714 | Luo, Geping,Yin, Changying,Chen, Xi,et al. Combining system dynamic model and CLUE-S model to improve land use scenario analyses at regional scale: A case study of Sangong watershed in Xinjiang, China[J]. 中国科学院新疆生态与地理研究所,2010,7(2):198-207. |
APA | Luo, Geping,Yin, Changying,Chen, Xi,Xu, Wenqiang,&Lu, Lei.(2010).Combining system dynamic model and CLUE-S model to improve land use scenario analyses at regional scale: A case study of Sangong watershed in Xinjiang, China.ECOLOGICAL COMPLEXITY,7(2),198-207. |
MLA | Luo, Geping,et al."Combining system dynamic model and CLUE-S model to improve land use scenario analyses at regional scale: A case study of Sangong watershed in Xinjiang, China".ECOLOGICAL COMPLEXITY 7.2(2010):198-207. |
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