Acknowledgements We are grateful for Dr. Jens Strauss and the other two anonymous reviewers for their insightful comments on an earlier version of this MS, and appreciate members of the IBCAS Sampling Campaign Teams for their assistance in field investigation. This work was supported by the National Basic Research Program of China on Global Change (2014CB954001 and 2015CB954201), National Natural Science Foundation of China (31322011 and 41371213), and the Thousand Young Talents Program.Peer reviewedPostprin

Brown

Burges

Carvalhais

Chew

Chinese Academy of Sciences

Drake

Epstein

Goward

Grosse

Harden

Holben

Huete

Hugelius

Jobbagy

Kavzoglu

Koven

Lindeman

Mishra

Natali

Nello

Nowinski

Pang

Ping

Post

R Core Team

Rubinstein

Schaedel

Schirrmeister

Schneider Von Deimling

Schuur

Strauss

Tarnocai

Tor-Gunnar

Ueyama

Vermote

Walker

Wang

Were

Whiteman

Yang

Zhang

Zhao

Zhou

Global Change Biology

English

Ding, Jinzhi

Li, Fei

Yang, Guibiao

Chen, Leiyi

Zhang, Beibei

Liu, Li

Fang, Kai

Qin, Shuqi

Chen, Yongliang

Peng, Yunfeng

Ji, Chengjun

He, Honglin

Smith, Pete

Yang, Yuanhe

Research Archive

The permafrost carbon inventory on the Tibetan Plateau : a new evaluation using deep sediment cores

The permafrost organic carbon (OC) stock is of global significance because of its large pool size and the potential positive feedback to climate warming. However, due to the lack of systematic field observations and appropriate upscaling methodologies, substantial uncertainties exist in the permafrost OC budget, which limits our understanding of the fate of frozen carbon in a warming world. In particular, the lack of comprehensive estimates of OC stocks across alpine permafrost means that current knowledge on this issue remains incomplete. Here, we evaluated the pool size and spatial variations of permafrost OC stock to 3m depth on the Tibetan Plateau by combining systematic measurements from a substantial number of pedons (i.e. 342 three-metre-deep cores and 177 50-cm-deep pits) with a machine learning technique (i.e. support vector machine, SVM). We also quantified uncertainties in permafrost carbon budget by conducting Monte Carlo simulations. Our results revealed that the combination of systematic measurements with the SVM model allowed spatially explicit estimates to be made. The OC density (OC amount per unit area, OCD) exhibited a decreasing trend from the south-eastern to the north-western plateau, with the exception that OCD in the swamp meadow was substantially higher than that in surrounding regions. Our results also demonstrated that Tibetan permafrost stored a large amount of OC in the top 3m, with the median OC pool size being 15.31 Pg C (interquartile range: 13.03-17.77Pg C). 44% of OC occurred in deep layers (i.e. 100-300cm), close to the proportion observed across the northern circumpolar permafrost region. The large carbon pool size together with significant permafrost thawing suggests a risk of carbon emissions and positive climate feedback across the Tibetan alpine permafrost region.National Basic Research Program of China on Global Change [2014CB954001,   2015CB954201]; National Natural Science Foundation of China [31322011,   41371213]; Chinese Acedemy of Sciences-Peking University Pioneer   Collaboration Team; Thousand Young Talents ProgramSCI(E)PubMedARTICLEyhyang@ibcas.ac.cn82688-27012

Institutional Repository of Peking University

The permafrost carbon inventory on the Tibetan Plateau: a new evaluation   using deep sediment cores

The permafrost organic carbon (OC) stock is of global significance because of its large pool size and the potential positive feedback to climate warming. However, due to the lack of systematic field observations and appropriate upscaling methodologies, substantial uncertainties exist in the permafrost OC budget, which limits our understanding of the fate of frozen carbon in a warming world. In particular, the lack of comprehensive estimates of OC stocks across alpine permafrost means that current knowledge on this issue remains incomplete. Here, we evaluated the pool size and spatial variations of permafrost OC stock to 3m depth on the Tibetan Plateau by combining systematic measurements from a substantial number of pedons (i.e. 342 three-metre-deep cores and 177 50-cm-deep pits) with a machine learning technique (i.e. support vector machine, SVM). We also quantified uncertainties in permafrost carbon budget by conducting Monte Carlo simulations. Our results revealed that the combination of systematic measurements with the SVM model allowed spatially explicit estimates to be made. The OC density (OC amount per unit area, OCD) exhibited a decreasing trend from the south-eastern to the north-western plateau, with the exception that OCD in the swamp meadow was substantially higher than that in surrounding regions. Our results also demonstrated that Tibetan permafrost stored a large amount of OC in the top 3m, with the median OC pool size being 15.31 Pg C (interquartile range: 13.03-17.77Pg C). 44% of OC occurred in deep layers (i.e. 100-300cm), close to the proportion observed across the northern circumpolar permafrost region. The large carbon pool size together with significant permafrost thawing suggests a risk of carbon emissions and positive climate feedback across the Tibetan alpine permafrost region

of Botany,Chinese Academy Of Sciences

The permafrost carbon inventory on the Tibetan Plateau: a new evaluation using deep sediment cores

Jinzhi Ding

Fei Li

Guibiao Yang

Leiyi Chen

Beibei Zhang

Li Liu

Kai Fang

Shuqi Qin

Yongliang Chen

Yunfeng Peng

Chengjun Ji

Honglin He

Pete Smith

Yuanhe Yang

Crossref

http://ir.igsnrr.ac.cn/bitstream/311030/42913/1/Ding-2016-The%20permafrost%20carbo.pdf

The permafrost carbon inventory on the Tibetan Plateau : a new evaluation using deep sediment cores

Abstract

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Institutional Repository of Peking University

of Botany,Chinese Academy Of Sciences

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