High uncertainties detected in the wetlands distribution of the Qinghai-Tibet Plateau based on multisource data

doi:10.1007/s11355-019-00402-w

	High uncertainties detected in the wetlands distribution of the Qinghai-Tibet Plateau based on multisource data
	Wang, Jieyi 3; Zhu, Qiuan 3; Yang, Yan 1; Zhang, Xian 3; Zhang, Jiang 3; Yuan, Minshu 3; Chen, Huai 4; Peng, Changhui 2,3
刊名	LANDSCAPE AND ECOLOGICAL ENGINEERING
	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.
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关键词	LAND-COVER DATA ; GLOBAL DISTRIBUTION ; IGBP DISCOVER ; PRESENT STATE ; CHINA ; EXTENT ; AREA ; VALIDATION ; PRODUCTS ; GLC2000
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
语种	英语
出版者	SPRINGER JAPAN KK
WOS记录号	WOS:000498144100001
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
内容类型	期刊论文
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.