An Elevation-Based Stratification Model for Simulating Land Use Change
文献类型：期刊论文
| 作者 | Xu, Erqi; Zhang, Hongqi ; Yao, Lina
|
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2018-11-01 |
| 卷号 | 10期号:11页码:25 |
| 关键词 | land use change simulation model elevation gradient stratification strategy |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs10111730 |
| 通讯作者 | Zhang, Hongqi(zhanghq@igsnrr.ac.cn) |
| 英文摘要 | Land use significantly influences the planet's land surface and associated biogeochemical processes. With fierce conflict between various land uses, it is important to project the land system process to support decision-making. Lack of insight into scale differences of land use change (LUC) increased uncertainties in previous studies. To quantify the differences in LUCs within an elevation gradient, in this study, a novel model, the stratified land use change simulation model (SLUCS), was developed by using an elevation-based stratification strategy. This model consists of four modules. First, an elevation-based stratification module to develop a quantitative method for generating stratifications using elevation and land-use characteristics. Second, a non-spatial land-use demand module to forecast the overall land use area and make zoning constraints to simulate LUCs. Third, a stratified suitability estimation module that uses the stratified logistic regression method to reveal the regional relationship of the driving factors with LUCs at different stratifications. Finally, a spatial allocation of the land-use module, which projects a spatially explicit LUC. The SLUCS model was applied and tested in the Guizhou and Guangxi Karst Mountainous Region. Results validated the effectiveness of the model, and further demonstrated an improved spatial consistency with the reference, a higher accuracy assessment, and a better simulation performance in conversion areas than the traditional method. Three scenarios from 2015 to 2030 with different land-use priorities were designed and projected. Each scenario presented the same LUC trends, but with different magnitudes, including the rapid expansion of built-up land, the restoration of forest and water, and the loss of farmland and grassland. Priority of the socioeconomic development and ecological protection of the scenarios forecasted a sharper increase in the built-up land and in forests than the historical extrapolation scenario. The SLUCS model visually projected the LUC trajectory and competition between land uses, which suggests specific tradeoffs among management strategies to support sustainable land uses. |
| WOS关键词 | COVER CHANGE ; CELLULAR-AUTOMATA ; URBAN-GROWTH ; CLUE-S ; ENVIRONMENTAL STRATIFICATION ; ECOSYSTEM SERVICES ; MOUNTAIN REGIONS ; SYSTEM CHANGE ; CHINA ; POLICY |
| 资助项目 | National Natural Science Foundation of China[41601095] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040305] ; National Basic Research Program of China (973 Program)[2015CB452702] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000451733800061 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Basic Research Program of China (973 Program) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/51409]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Hongqi |
| 作者单位 | Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Erqi,Zhang, Hongqi,Yao, Lina. An Elevation-Based Stratification Model for Simulating Land Use Change[J]. REMOTE SENSING,2018,10(11):25. |
| APA | Xu, Erqi,Zhang, Hongqi,&Yao, Lina.(2018).An Elevation-Based Stratification Model for Simulating Land Use Change.REMOTE SENSING,10(11),25. |
| MLA | Xu, Erqi,et al."An Elevation-Based Stratification Model for Simulating Land Use Change".REMOTE SENSING 10.11(2018):25. |
入库方式： OAI收割
来源：地理科学与资源研究所
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