Modeling Intersecting Processes of Wetland Shrinkage and Urban Expansion by a Time-Varying Methodology
文献类型:期刊论文
作者 | Xu, Erqi1; Chen, Yimeng2 |
刊名 | SUSTAINABILITY
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出版日期 | 2019-09-01 |
卷号 | 11期号:18页码:24 |
关键词 | wetland loss urban expansion dynamic model intersecting process tradeoff analysis |
DOI | 10.3390/su11184953 |
通讯作者 | Xu, Erqi(xueq@igsnrr.ac.cn) ; Chen, Yimeng(ymchen@hzu.edu.cn) |
英文摘要 | Continuous urban expansion worldwide has resulted in significant wetland degradation and loss. A limited number of studies have addressed the coupling of wetland and urban dynamics, but this relationship remains unclear. In this study, a time-varying methodology of predicting wetland distribution was developed to support decision-making. The novelty of the methodology is its ability to dynamically simulate wetland shrinkage together with urban expansion and reveal conflicts and potential tradeoffs under different scenarios. The developed methodology consists of three modules: a historical change detection of wetland and urban areas module, a spatial urban sprawl simulation and forecasting module that can accommodate different development priorities, and a wetland distribution module with time-varying logistic regression. The methodology was applied and tested in the Tonghu Wetland as a case study. The wetland and urban extents presented a spatially intersecting shift, where wetlands lost more than 40% of their area from 1977 to 2017, while urban areas expanded by 10-fold, threatening wetlands. The increase in the relative importance metric of the time-varying regression model indicated an enhanced influence of urban expansion on the wetland. An accuracy assessment validated a robust statistical result and a good visual fit between spatially distributed wetland occurrence probabilities and the actual distribution of wetland. Incorporating the new variable of urban expansion improved modeling performance and, particularly, realized a greater ability to predict potential wetland loss than provided by the traditional method. Future wetland loss probabilities were visualized under different scenarios. The historical trend scenario predicted continuously expanding urban growth and wetland shrinkage to 2030. However, a specific urban development strategy scenario was designed interactively to control the potential wetland loss. Consideration of such scenarios can facilitate identifying tradeoffs to support wetland conservation. |
WOS关键词 | LAND-COVER CHANGE ; RIVER DELTA ; CELLULAR-AUTOMATON ; URBANIZATION ; GROWTH ; SIMULATION ; DYNAMICS ; IMPACT ; DEFORESTATION ; DISTURBANCE |
资助项目 | National Natural Science Foundation of China[41601095] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040305] ; Huizhou's Science and Technology Special Fund Project[2016X0436051] ; Provincial Key Education-Specialty Innovation Research Project of Guangdong[2018KTSCX216] |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000489104700139 |
出版者 | MDPI |
资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Huizhou's Science and Technology Special Fund Project ; Provincial Key Education-Specialty Innovation Research Project of Guangdong |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/131972] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Xu, Erqi; Chen, Yimeng |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Huizhou Univ, Sch Geog & Tourism, Huizhou 516007, Peoples R China |
推荐引用方式 GB/T 7714 | Xu, Erqi,Chen, Yimeng. Modeling Intersecting Processes of Wetland Shrinkage and Urban Expansion by a Time-Varying Methodology[J]. SUSTAINABILITY,2019,11(18):24. |
APA | Xu, Erqi,&Chen, Yimeng.(2019).Modeling Intersecting Processes of Wetland Shrinkage and Urban Expansion by a Time-Varying Methodology.SUSTAINABILITY,11(18),24. |
MLA | Xu, Erqi,et al."Modeling Intersecting Processes of Wetland Shrinkage and Urban Expansion by a Time-Varying Methodology".SUSTAINABILITY 11.18(2019):24. |
入库方式: OAI收割
来源:地理科学与资源研究所
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