Remote Sensing Based Spatial-Temporal Monitoring of the Changes in Coastline Mangrove Forests in China over the Last 40 Years
文献类型:期刊论文
作者 | Zhang, Junyao1,2; Yang, Xiaomei1,2![]() |
刊名 | REMOTE SENSING
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出版日期 | 2021-05-01 |
卷号 | 13期号:10页码:23 |
关键词 | China's mangrove forests landscape pattern spatial-temporal dynamic change analysis remote sensing |
DOI | 10.3390/rs13101986 |
通讯作者 | Zhang, Tao(zhangt@lreis.ac.cn) |
英文摘要 | As a developing country, China's mangrove landscape pattern has undergone significant temporal and spatial changes over the last four decades. However, we know little about the changes in the mangrove landscape pattern characteristics other than the area at the national scale. The analysis of mangrove landscape pattern changes from different perspectives on a national scale can provide scientific support for mangrove protection and restoration. In this study, the temporal and spatial changes in the pattern of the mangrove landscape over the last 40 years in China were analyzed based on remote sensing data with high classification accuracy (99.3% of 2018). First, according to the natural geographical conditions of the coastal zone and the distribution of the mangroves, the distribution area of the mangroves in China was divided into 31 natural shores. Then, by selecting representative landscape indexes and constructing an integrated landscape index, the spatial-temporal changes in the landscape pattern of China's mangroves over the last 40 years were analyzed based on five perspectives: Total area change, shape complexity, connectivity, fragmentation, and the integrated state of the landscape. From a temporal viewpoint, before 2000, the total area of each shore exhibited a downward trend, and the degree of connectivity deteriorated continuously, but the degree of fragmentation was stable at a low level. After 2000, although the total area improved, the degree of fragmentation gradually increased. The spatial changes are mainly reflected by the fact that the shores in Guangdong and Hainan exhibited significant differences within the same province. Based on the above analysis, corresponding scientific suggestions are proposed from temporal and spatial viewpoints to provide guidance for mangrove management and protection in China and to provide a reference for mangrove research in other regions of the world. |
WOS关键词 | GOOGLE EARTH ENGINE ; LANDSCAPE METRICS ; PROTECTION ; PATTERN ; FRAGMENTATION ; CONSERVATION ; RESTORATION ; PERFORMANCE ; PHILIPPINES ; SENTINEL-2 |
资助项目 | National Key Research and Development Program of China[2016YFC1402003] ; National Science Foundation of China[41421001] ; Innovation Project of Laboratory of Resources and Environmental Information System[O88RAA01YA] |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000662598200001 |
出版者 | MDPI |
资助机构 | National Key Research and Development Program of China ; National Science Foundation of China ; Innovation Project of Laboratory of Resources and Environmental Information System |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/164180] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Zhang, Tao |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Land Satellite Remote Sensing Applicat Ctr LASAC, Beijing 100048, Peoples R China |
推荐引用方式 GB/T 7714 | Zhang, Junyao,Yang, Xiaomei,Wang, Zhihua,et al. Remote Sensing Based Spatial-Temporal Monitoring of the Changes in Coastline Mangrove Forests in China over the Last 40 Years[J]. REMOTE SENSING,2021,13(10):23. |
APA | Zhang, Junyao,Yang, Xiaomei,Wang, Zhihua,Zhang, Tao,&Liu, Xiaoliang.(2021).Remote Sensing Based Spatial-Temporal Monitoring of the Changes in Coastline Mangrove Forests in China over the Last 40 Years.REMOTE SENSING,13(10),23. |
MLA | Zhang, Junyao,et al."Remote Sensing Based Spatial-Temporal Monitoring of the Changes in Coastline Mangrove Forests in China over the Last 40 Years".REMOTE SENSING 13.10(2021):23. |
入库方式: OAI收割
来源:地理科学与资源研究所
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