Modeling CH4 Emissions from Natural Wetlands on the Tibetan Plateau over the Past 60 Years: Influence of Climate Change and Wetland Loss

Li, Tingting; Zhang, Qing; Zou, Cheng; Ma, Zhijun; Jia, Lü; Luo, Yu; Xu, Jinming; Wang, Guocheng; Wen, Zhang

doi:10.3390/atmos7070090

Cited by 8 publications

(4 citation statements)

References 80 publications

(106 reference statements)

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“…A large discrepancy of wetland extent products largely affects estimations of GHGs emissions from natural wetland (Wei and Wang, 2016). Thus, improving the ability to obtain accurate data on the distribution and extent of wetlands should be a research priority in the future (Li et al, 2016). In addition, the spatial dataset of soil temperature was obtained by the spatial interpolation method, and its uncertainty might also lead to differences of estimated the total GHGs emissions from wetlands on the QTP.…”

Section: Uncertainties In Regional Extrapolation Of Ghgs Emissions Ofmentioning

confidence: 99%

Extrapolation and Uncertainty Evaluation of Carbon Dioxide and Methane Emissions in the Qinghai-Tibetan Plateau Wetlands Since the 1960s

et al. 2020

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Wetlands are important modulators of atmospheric greenhouse gas (GHGs) concentrations. However, little is known about the magnitudes and spatiotemporal patterns of GHGs fluxes in wetlands on the Qinghai-Tibetan Plateau (QTP), the world's largest and highest plateau. In this study, we measured soil temperature and the fluxes of carbon dioxide (CO 2) and methane (CH 4) in an alpine wetland on the QTP from April 2017 to April 2019 by the static chamber method, and from January 2017 to December 2017 by the eddy covariance (EC) method. The CO 2 and CH 4 emission measurements from both methods showed different relationships to soil temperature at different timescales (annual and seasonal). Based on such relationship patterns and soil temperature data (1960-2017), we extrapolated the CO 2 and CH 4 emissions of study site for the past 57 years: the mean CO 2 emission rate was 1096.59 mg C m −2 h −1 on different measurement methods and timescales, with the range of the mean emission rate from 421.17 to 1754.99 mg C m −2 h −1 , while the mean CH 4 emission rate was 32.99 mg C m −2 h −1 , with the ranges of the mean emission rate from 16.95 to 46.25 mg C m −2 h −1. The estimated regional CO 2 and CH 4 emissions from permanent wetlands on the QTP were 94.29 and 2.37 Tg C year −1 , respectively. These results indicate that uncertainties caused by measuring method and timescale should be fully considered when extrapolating wetland GHGs fluxes from local sites to the regional level. Moreover, the results of global warming potential showed that CO 2 dominates the GHG balance of wetlands on the QTP.

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Section: Uncertainties In Regional Extrapolation Of Ghgs Emissions Ofmentioning

confidence: 99%

Extrapolation and Uncertainty Evaluation of Carbon Dioxide and Methane Emissions in the Qinghai-Tibetan Plateau Wetlands Since the 1960s

et al. 2020

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“…The herbaceous parameters in each region were assigned to the wetlands restored from grasslands and croplands (Figures e, S1b). More details of the calibration and validation of this model combination have also been documented in our previous studies. ,, …”

Section: Methodsmentioning

confidence: 89%

“…More details of the calibration and validation of this model combination have also been documented in our previous studies. 22,40,43 The main input data of the model combination include climate (daily air temperature, precipitation, and cloudiness), soil, and hydrology. Upscaling was completed by rasterizing the inputs with 10 km × 10 km gridded data sets across China.…”

Section: ■ Materials and Methodsmentioning

confidence: 99%

Methane Emissions from Wetlands in China and Their Climate Feedbacks in the 21st Century

Canadell

Yang

et al. 2022

Environ. Sci. Technol.

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Wetlands are large sinks of carbon dioxide (CO 2 ) and sources of methane (CH 4 ). Both fluxes can be altered by wetland management (e.g., restoration), leading to changes in the climate system. Here, we use multiple models to assess CH 4 emissions and CO 2 sequestration from the wetlands in China and the impacts on climate under three climate scenarios and four wetland management scenarios with various levels of wetland restoration in the 21st century. We find that wetland restoration leads to increased CH 4 emissions with a national total of 0.32−11.31 Tg yr −1 . These emissions induce an additional radiative forcing of 0.0005−0.0075 W m −2 yr −1 and global annual mean air temperature rise of 0.0003− 0.0053 °C yr −1 , across all future climate and management scenarios. However, wetland restoration also resulted in net CO 2 sequestration, leading to a combined net greenhouse gas sink in all climate management scenarios, except in the highest restoration level combined with the hottest climate scenario. The highest climate cooling was achieved under medium restoration, with the climate scenario consistent with the Paris agreement target of below 2 °C, with a cumulative global warming potential of −3.2 Pg CO 2 -eq (2020− 2100). Wetland restoration in the Qinghai−Tibet Plateau offers the greatest cooling effect.

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“…Several studies have estimated CH 4 emissions from wetlands on the Qinghai-Tibet Plateau for periods from 1995 to 2005 (2.47 TgC•a −1 ) [27], 1949-2008 (0.06 TgC•a −1 ) [16], 1979 to 2012 (0.96 TgC•a −1 ) [28], and 2000 to 2010 (0.22 TgC•a −1 ) [29]. However, CH 4 emissions from Plateau wetlands under future climate conditions remain quite uncertain.…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Variation of Wetland CH4 Emissions from the Qinghai–Tibet Plateau under Future Climate Change Scenarios

et al. 2022

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Wetlands are an important natural source of methane (CH4), so it is important to quantify how their emissions may vary under future climate change conditions. The Qinghai–Tibet Plateau contains more than a third of China’s wetlands. Here, we simulated temporal and spatial variation in CH4 emissions from natural wetlands on the Qinghai–Tibet Plateau from 2008 to 2100 under Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5. Based on the simulation results of the TRIPLEX-GHG model forced with data from 24 CMIP5 models of global climate, we predict that, assuming no change in wetland distribution on the Plateau, CH4 emissions from natural wetlands will increase by 35%, 98% and 267%, respectively, under RCP 2.6, 4.5 and 8.5. The predicted increase in atmospheric CO2 concentration will contribute 10–28% to the increased CH4 emissions from wetlands on the Plateau by 2100. Emissions are predicted to be majorly in the range of 0 to 30.5 g C m−2·a−1 across the Plateau and higher from wetlands in the southern region of the Plateau than from wetlands in central or northern regions. Under RCP8.5, the methane emissions of natural wetlands on the Qinghai–Tibet Plateau increased much more significantly than that under RCP2.6 and RCP4.5.

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Modeling CH4 Emissions from Natural Wetlands on the Tibetan Plateau over the Past 60 Years: Influence of Climate Change and Wetland Loss

Cited by 8 publications

References 80 publications

Extrapolation and Uncertainty Evaluation of Carbon Dioxide and Methane Emissions in the Qinghai-Tibetan Plateau Wetlands Since the 1960s

Extrapolation and Uncertainty Evaluation of Carbon Dioxide and Methane Emissions in the Qinghai-Tibetan Plateau Wetlands Since the 1960s

Methane Emissions from Wetlands in China and Their Climate Feedbacks in the 21st Century

Temporal and Spatial Variation of Wetland CH4 Emissions from the Qinghai–Tibet Plateau under Future Climate Change Scenarios

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