High uncertainties detected in the wetlands distribution of the Qinghai-Tibet Plateau based on multisource data
文献类型:期刊论文
作者 | Wang, Jieyi3; Zhu, Qiuan3; Yang, Yan1; Zhang, Xian3; Zhang, Jiang3; Yuan, Minshu3; Chen, Huai4; Peng, Changhui2,3 |
刊名 | LANDSCAPE AND ECOLOGICAL ENGINEERING
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出版日期 | 2019-11-22 |
页码 | 15 |
关键词 | Wetland Qinghai-Tibet Plateau Uncertainty Wetland area Wetland spatial distribution |
ISSN号 | 1860-1871 |
DOI | 10.1007/s11355-019-00402-w |
通讯作者 | Zhu, Qiuan(qiuan.zhu@gmail.com) |
英文摘要 | Twenty wetland-related data products (including remote sensing datasets, compilation datasets and model simulation datasets) were collected to evaluate the characteristics (area and distribution) of the wetlands in the Qinghai-Tibet Plateau (QTP) during four stages (1980s, 1990s, 2000s, and 2010s). We conducted a statistical analysis of the wetland areas from different datasets and compared the pixel consistency regarding wetland spatial distribution. The results showed that high uncertainty exists in the wetland area and low consistency exists in the distribution among the different datasets. The wetland area in the QTP ranged from 1.5 x 10(4) to 121.16 x 10(4) km(2). In the remote sensing datasets, the wetland area in the QTP ranged from 3.25 x 10(4) to 11.28 x 10(4) km(2), the calculated area was between 1.50 x 10(4) and 72.21 x 10(4) km(2) in the compilation datasets, and the area simulated from model datasets was between 3.81 x 10(4) and 121.16 x 10(4) km(2). For the total wetland area in the QTP, the uncertainty in the measured datasets was lower than that in the model simulation datasets. However, for the distribution of wetlands, the measured datasets were more inconsistent than the model datasets. In the measured datasets, as the pixel consistency increased, the corresponding probability throughout the area decreased. The probability of achieving 75% consistency was less than 2%, and was 0.61%, 0.35%, 1%, and 1.43% in the four stages, respectively. In the model products, the probability of achieving 75% consistency was 40.39%. Our study will enrich the global wetland database and contribute to the establishment of a plateau wetland information system, which will be significant for the protection and management of wetlands. |
WOS关键词 | LAND-COVER DATA ; GLOBAL DISTRIBUTION ; IGBP DISCOVER ; PRESENT STATE ; CHINA ; EXTENT ; AREA ; VALIDATION ; PRODUCTS ; GLC2000 |
资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences[XDA2005010404] ; National Natural Science Foundation of China[41571081] ; National Key R&D Program of China[2016YFC0501804] ; National Key R&D Program of China[2016YFC0500203] |
WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000498144100001 |
出版者 | SPRINGER JAPAN KK |
资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Key R&D Program of China |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/130586] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Zhu, Qiuan |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 2.Univ Quebec Montreal, Inst Environm Sci, Montreal, PQ C3H 3P8, Canada 3.Northwest A&F Univ, Coll Forestry, Ctr Ecol Forecasting & Global Change, Taicheng Rd 3, Yangling 712100, Shaanxi, Peoples R China 4.Chinese Acad Sci, Chengdu Inst Biol, Chengdu, Sichuan, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Jieyi,Zhu, Qiuan,Yang, Yan,et al. High uncertainties detected in the wetlands distribution of the Qinghai-Tibet Plateau based on multisource data[J]. LANDSCAPE AND ECOLOGICAL ENGINEERING,2019:15. |
APA | Wang, Jieyi.,Zhu, Qiuan.,Yang, Yan.,Zhang, Xian.,Zhang, Jiang.,...&Peng, Changhui.(2019).High uncertainties detected in the wetlands distribution of the Qinghai-Tibet Plateau based on multisource data.LANDSCAPE AND ECOLOGICAL ENGINEERING,15. |
MLA | Wang, Jieyi,et al."High uncertainties detected in the wetlands distribution of the Qinghai-Tibet Plateau based on multisource data".LANDSCAPE AND ECOLOGICAL ENGINEERING (2019):15. |
入库方式: OAI收割
来源:地理科学与资源研究所
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