Remote Sensing of Coastal Wetland Degradation Using the Landscape Directional Succession Model
文献类型：期刊论文
| 作者 | Cui, Linlin3,4; Li, Guosheng4; Liao, Huajun2; Ouyang, Ninglei1; Li, Xingyue3; Liu, Dan3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2022-10-01 |
| 卷号 | 14期号:20页码:23 |
| 关键词 | coastal wetlands degradation remote sensing Jiangsu |
| DOI | 10.3390/rs14205273 |
| 通讯作者 | Cui, Linlin(cuilinlin@cuit.edu.cn) |
| 英文摘要 | In recent decades, human activities have impaired the structure, function, and diversity of coastal wetland ecosystems, and there is a need for the rational planning of ecological restoration to curb wetland degradation. However, the challenge remains to quickly and accurately identify degraded wetland areas and their degradation levels. In this study, we used remote sensing interpretation data from 1980 to 2020 and the wetland degradation evaluation method based on a landscape directional succession model to quantify the spatial and temporal characteristics of wetland degradation in Jiangsu Province, China. The key findings showed that 3020.67 km(2) of wetlands became degraded over the 40 years of this study, accounting for 42.74% of the total area of coastal wetlands, and that the overall degradation was mild. This degradation presented significant spatial differences, with the wetland degradation in Yancheng City observed to be more serious than that in Nantong City. Degradation mainly occurred in Sheyang County, Dafeng District, Dongtai City, and Rudong County, and the spatial distribution pattern of severe and moderate degradation, mild degradation, and non-degradation was observed from land to sea in that order. The degradation of wetlands was observed to have obvious stages, and the degradation of coastal wetlands in the study area from 1980 to 2020 showed a significant increasing trend. The comprehensive score of wetland degradation in 2020 (1.67) was 3.70 times that in 1985 (0.45), and the turning point occurred in 2000. The types of wetland degradation were dominated by the transformation of natural wetlands into construction land (coastal industry), fish farming, and arable land, as well as the invasion of exotic species. Although great efforts have been made in recent years to protect and restore coastal wetlands, the development and utilization of coastal wetland resources should be strictly controlled to achieve the goal of sustainable development in coastal areas. |
| WOS关键词 | JIANGSU PROVINCE ; NATURE-RESERVE ; EVOLUTION ; PATTERNS ; YANCHENG |
| 资助项目 | National Key R&D Program of China[2022YFC3200069] ; China Postdoctoral Science Foundation[2019M660780] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000875087500001 |
| 出版者 | MDPI |
| 资助机构 | National Key R&D Program of China ; China Postdoctoral Science Foundation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/186120]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cui, Linlin |
| 作者单位 | 1.Res Ctr Big Data Technol, Nanhu Lab, Jiaxing 314001, Peoples R China 2.SuperMap Software Co Ltd, Beijing 100015, Peoples R China 3.Chengdu Univ Informat Technol, Coll Resources & Environm, Chengdu 610225, Peoples R China 4.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 | Cui, Linlin,Li, Guosheng,Liao, Huajun,et al. Remote Sensing of Coastal Wetland Degradation Using the Landscape Directional Succession Model[J]. REMOTE SENSING,2022,14(20):23. |
| APA | Cui, Linlin,Li, Guosheng,Liao, Huajun,Ouyang, Ninglei,Li, Xingyue,&Liu, Dan.(2022).Remote Sensing of Coastal Wetland Degradation Using the Landscape Directional Succession Model.REMOTE SENSING,14(20),23. |
| MLA | Cui, Linlin,et al."Remote Sensing of Coastal Wetland Degradation Using the Landscape Directional Succession Model".REMOTE SENSING 14.20(2022):23. |
入库方式： OAI收割
来源：地理科学与资源研究所
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