中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatial distribution and changes of permafrost on the Qinghai-Tibet Plateau revealed by statistical models during the period of 1980 to 2010

文献类型:期刊论文

作者Wang, Tianye1,2,3; Wu, Tonghua1; Wang, Ping2; Li, Ren1; Xie, Changwei1; Zou, Defu1
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2019-02-10
卷号650页码:661-670
关键词Permafrost distribution Permafrost changes Qinghai-Tibet Plateau Logistic regression model Multi-criteria analysis
ISSN号0048-9697
DOI10.1016/j.scitotenv.2018.08.398
通讯作者Wu, Tonghua(thuawu@lzb.ac.cn)
英文摘要The Qinghai-Tibet Plateau (QTP), where is underlain by the highest and most extensive mid-altitude permafrost, is undergoing more dramatic climatic warming than its surrounding regions. Mapping the distribution of permafrost is of great importance to assess the impacts of permafrost changes on the regional climate system. In this study, we applied logistic regression model (LRM) andmulti-criteria analysis (MCA) methods to map the decadal permafrost distribution on the QTP and to assess permafrost dynamics from the 1980s to 2000s. The occurrence of permafrost and its impacting factors (i.e., climatic and topographic elements) were constructed from in-situ field investigation-derived permafrost distribution patterns in 4 selected study regions. The validation results indicate that both LRM and MCA could efficiently map the permafrost distribution on the QTP. The areas of permafrost simulated by LRM and MCA are 1.23 x 10(6) km(2) and 1.20 x 10(6) km(2), respectively, between 2008 and 2012. The LRM and MCA modeling results revealed that permafrost area has significantly decreased at a rate of 0.066 x 10(6) km(2) decade(-1) over the past 30 years, and the decrease of permafrost area is accelerating. The sensitivity test results indicated that LRM did well in identifying the spatial distribution of permafrost and seasonally frozen ground, and MCA did well in reflecting permafrost dynamics. More parameters such as vegetation, soil property, and soil moisture are suggested to be integrated into the models to enhance the performance of both models. (C) 2018 Published by Elsevier B.V.
WOS关键词INTERNATIONAL POLAR YEAR ; PAST 50 YEARS ; CLIMATE-CHANGE ; ACTIVE-LAYER ; LOGISTIC-REGRESSION ; THERMAL STATE ; VEGETATION DISTRIBUTION ; MULTICRITERIA APPROACH ; ALPINE PERMAFROST ; NORTHERN MONGOLIA
资助项目Chinese Academy of Sciences[XDA20100103] ; Chinese Academy of Sciences[ZDRW-ZS-2017-4] ; State Key Laboratory of Cryosphere Sciences[SKLCS-ZZ-2018] ; National Natural Science Foundation of China[41721091] ; National Natural Science Foundation of China[41690142] ; National Natural Science Foundation of China[41771076]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000447092700068
出版者ELSEVIER SCIENCE BV
资助机构Chinese Academy of Sciences ; State Key Laboratory of Cryosphere Sciences ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/52640]  
专题中国科学院地理科学与资源研究所
通讯作者Wu, Tonghua
作者单位1.Chinese Acad Sci, Cryosphere Res Stn Qinghai Tibet Plateau, State Key Lab Cryospher Sci, Lanzhou 730000, Peoples R China
2.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Wang, Tianye,Wu, Tonghua,Wang, Ping,et al. Spatial distribution and changes of permafrost on the Qinghai-Tibet Plateau revealed by statistical models during the period of 1980 to 2010[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,650:661-670.
APA Wang, Tianye,Wu, Tonghua,Wang, Ping,Li, Ren,Xie, Changwei,&Zou, Defu.(2019).Spatial distribution and changes of permafrost on the Qinghai-Tibet Plateau revealed by statistical models during the period of 1980 to 2010.SCIENCE OF THE TOTAL ENVIRONMENT,650,661-670.
MLA Wang, Tianye,et al."Spatial distribution and changes of permafrost on the Qinghai-Tibet Plateau revealed by statistical models during the period of 1980 to 2010".SCIENCE OF THE TOTAL ENVIRONMENT 650(2019):661-670.

入库方式: OAI收割

来源:地理科学与资源研究所

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