Literature DB >> 23504718

Methane emissions from rice paddies natural wetlands, and lakes in China: synthesis and new estimate.

Huai Chen1, Qiu'an Zhu, Changhui Peng, Ning Wu, Yanfen Wang, Xiuqin Fang, Hong Jiang, Wenhua Xiang, Jie Chang, Xiangwen Deng, Guirui Yu.   

Abstract

Sources of methane (CH4 ) become highly variable for countries undergoing a heightened period of development due to both human activity and climate change. An urgent need therefore exists to budget key sources of CH4 , such as wetlands (rice paddies and natural wetlands) and lakes (including reservoirs and ponds), which are sensitive to these changes. For this study, references in relation to CH4 emissions from rice paddies, natural wetlands, and lakes in China were first reviewed and then reestimated based on the review itself. Total emissions from the three CH4 sources were 11.25 Tg CH4  yr(-1) (ranging from 7.98 to 15.16 Tg CH4  yr(-1) ). Among the emissions, 8.11 Tg CH4  yr(-1) (ranging from 5.20 to 11.36 Tg CH4  yr(-1) ) derived from rice paddies, 2.69 Tg CH4  yr(-1) (ranging from 2.46 to 3.20 Tg CH4  yr(-1) ) from natural wetlands, and 0.46 Tg CH4  yr(-1) (ranging from 0.33 to 0.59 Tg CH4  yr(-1) ) from lakes (including reservoirs and ponds). Plentiful water and warm conditions, as well as its large rice paddy area make rice paddies in southeastern China the greatest overall source of CH4 , accounting for approximately 55% of total paddy emissions. Natural wetland estimates were slightly higher than the other estimates owing to the higher CH4 emissions recorded within Qinghai-Tibetan Plateau peatlands. Total CH4 emissions from lakes were estimated for the first time by this study, with three quarters from the littoral zone and one quarter from lake surfaces. Rice paddies, natural wetlands, and lakes are not constant sources of CH4 , but decreasing ones influenced by anthropogenic activity and climate change. A new progress-based model used in conjunction with more observations through model-data fusion approach could help obtain better estimates and insights with regard to CH4 emissions deriving from wetlands and lakes in China.
© 2012 Blackwell Publishing Ltd.

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Year:  2012        PMID: 23504718     DOI: 10.1111/gcb.12034

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  13 in total

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2.  A comparison of methane emissions following rice paddies conversion to crab-fish farming wetlands in southeast China.

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Journal:  Environ Sci Pollut Res Int       Date:  2015-09-16       Impact factor: 4.223

3.  Occurrence and risk assessment of phthalate esters (PAEs) in agricultural soils of the Sanjiang Plain, northeast China.

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4.  Methane and CO2 emissions from China's hydroelectric reservoirs: a new quantitative synthesis.

Authors:  Siyue Li; Quanfa Zhang; Richard T Bush; Leigh A Sullivan
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5.  Northward expansion of paddy rice in northeastern Asia during 2000-2014.

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Journal:  Geophys Res Lett       Date:  2016-04-25       Impact factor: 4.720

6.  Carbon emission from global hydroelectric reservoirs revisited.

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Journal:  Environ Sci Pollut Res Int       Date:  2014-06-19       Impact factor: 4.223

7.  Impact of land use type conversion on carbon storage in terrestrial ecosystems of China: A spatial-temporal perspective.

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Journal:  Sci Rep       Date:  2015-05-15       Impact factor: 4.379

8.  Snapshot of methanogen sensitivity to temperature in Zoige wetland from Tibetan plateau.

Authors:  Li Fu; Tianze Song; Yahai Lu
Journal:  Front Microbiol       Date:  2015-02-19       Impact factor: 5.640

9.  Carbon emissions from land-use change and management in China between 1990 and 2010.

Authors:  Li Lai; Xianjin Huang; Hong Yang; Xiaowei Chuai; Mei Zhang; Taiyang Zhong; Zhigang Chen; Yi Chen; Xiao Wang; Julian R Thompson
Journal:  Sci Adv       Date:  2016-11-02       Impact factor: 14.136

10.  Climate-driven increase of natural wetland methane emissions offset by human-induced wetland reduction in China over the past three decades.

Authors:  Qiuan Zhu; Changhui Peng; Jinxun Liu; Hong Jiang; Xiuqin Fang; Huai Chen; Zhenguo Niu; Peng Gong; Guanghui Lin; Meng Wang; Han Wang; Yanzheng Yang; Jie Chang; Ying Ge; Wenhua Xiang; Xiangwen Deng; Jin-Sheng He
Journal:  Sci Rep       Date:  2016-11-28       Impact factor: 4.379

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