Abstract
Methane (CH4) is the second largest contributor to the greenhouse effect. However, it remains unclear to what extent the CH4 cycle acts as a feedback to climate changes, due to insufficient observational constraints and poor knowledge of wetland extent dynamics. The Tibetan Plateau (TP), which has an average elevation of 4000+ m above sea level, contains one-third of China’s natural wetlands. Rapid climate warming (i.e., ~ 0.5 °C per decade since the 1960s) and increasing precipitation in the region have caused wetlands to dry up and then expand, especially since the 2000s. In this study, we assessed the uncertainty and temporal variation of the CH4 budget during 1979–2012 using a biogeochemical model, in situ measurements and dynamic wetland maps. The results showed that the drying up of wetlands from the 1980s to 1990s completely counteracted the rising CH4 emission rates (0.75 ± 0.18 and 0.77 ± 0.19 Tg CH4 year−1 in the 1980s and 1990s, respectively). However, recent precipitation-induced wetland expansion enhanced emissions to 0.96 ± 0.21 Tg CH4 year−1 in the 2000s, which exceeded the rate of CH4 uptake (0.74 ± 0.06 Tg CH4 year−1 in the 2000s). A nonlinear role played by wetland extent in the CH4 budget was revealed, suggesting that there is a need to incorporate wetland extent dynamics over a longer period into model simulations to understand the variation in wetland CH4 release during past decades. Furthermore, the results also indicate that more hydrological components, e.g., wetland shrinkage and expansion under increasing precipitation and glacial melt, should be taken into consideration when projecting wetland CH4 release on the TP.
Similar content being viewed by others
References
Avis CA, Weaver AJ, Meissner KJ (2011) Reduction in areal extent of high-latitude wetlands in response to permafrost thaw. Nat Geosci 4(7):444–448
Bridgham SD, Cadillo-Quiroz H, Keller JK et al (2013) Methane emissions from wetlands: biogeochemical, microbial, and modeling perspectives from local to global scales. Glob Chang Biol 19(5):1325–1346
Chen H, Yao SP, Wu N et al (2008) Determinants influencing seasonal variations of CH4 emissions from alpine wetlands in Zoige plateau and their implications. J Geophys Res 113:D12303
Chen H, Zhu Q, Peng C et al (2013) Methane emissions from rice paddies natural wetlands, lakes in China: synthesis new estimate. Glob Chang Biol 19(1):19–32
Cramer W, Bondeau A, Woodward FI et al (2001) Global response of terrestrial ecosystem structure and function to CO2 and climate change: results from six dynamic global vegetation models. Glob Chang Biol 7(4):357–373
Curry CL (2007) Modeling the soil consumption of atmospheric CH4 at the global scale. Global Biogeochem Cy 21(4):GB4012. https://doi.org/10.1029/2006GB002818
Deng Y, Cui X, Lüke C et al (2013) Aerobic methanotroph diversity in Riganqiao peatlands on the Qinghai–Tibetan Plateau. Env Microbiol Rep 5(4):566–574
Deng YC, Cui XY, Hernández M et al (2014) Microbial diversity in hummock and hollow soils of three wetlands on the Qinghai-Tibetan Plateau revealed by 16S rRNA pyrosequencing. PLoS One 9(7):e103115
Ding W, Cai Z (2007) Methane emission from natural wetlands in China: summary of years 1995–2004 studies. Pedosphere 17(4):475–486
Ding W, Cai Z, Wang D (2004) Preliminary budget of CH4 emissions from natural wetlands in China. Atmos Environ 38(5):751–759
Editorial Board of Vegetation Map of China, Chinese Academy of Sciences (2001) Vegetation map of the People’s Republic of China (1:1000000). Science Press of China, Beijing
Harris I, Jones PD, Osborn TJ et al (2014) Updated high–resolution grids of monthly climatic observations–CRU TS 3. 10 Dataset. Int J Climatol 34(3):623–642
He J, Yang K (2011) China meteorological forcing dataset. Cold and Arid Regions Science Data Center at Lanzhou. https://doi.org/10.3972/westdc.002.2014.db
Hodson EL, Poulter B, Zimmermann et al (2011) The El Niño-Southern Oscillation and wetland methane interannual variability. Geophys Res Lett 38(8):L08810
Jin H, Wu J, Cheng G et al (1999) Methane emissions from wetlands on the Qinghai-Tibet Plateau. Chinese Sci. Bull. 44(24):2282–2286
Jin Z, Zhuang Q, He JS et al (2015) Net exchanges of methane and carbon dioxide on the Qinghai-Tibetan Plateau from 1979 to 2100. Environ Res Lett 10(8):085007
Jørgensen CJ, Johansen KML, Westergaard-Nielsen A et al (2015) Net regional methane sink in High Arctic soils of northeast Greenland. Nat Geosci 8(1):20–23
Kaplan JO (2002) Wetlands at the last glacial maximum: distribution and methane emissions. Geophys Res Lett 29(6):3–1–3-4
Kirschke S, Bousquet P, Ciais P et al (2013) Three decades of global methane sources and sinks. Nat Geosci 6(10):813–823
Lau MCY, Stackhouse BT, Layton AC et al (2015) An active atmospheric methane sink in high Arctic mineral cryosols. ISME J 9(8):1880–1891
Li L, Li J, Yao X et al (2014) Changes of the three holy lakes in recent years and quantitative analysis of the influencing factors. Quatern Int 349:339–345
Li T, Zhang W, Zhang Q et al (2015) Impacts of climate and reclamation on temporal variations in CH4 emissions from different wetlands in China: from 1950 to 2010. Biogeosci Discuss 12(9):7055–7091
Liu X, Chen B (2000) Climatic warming in the Tibetan Plateau during recent decades. Int J Climatol 20(14):1729–1742
Luan J, Wu J (2014) Gross photosynthesis explains the ‘artificial bias’ of methane fluxes by static chamber (opaque versus transparent) at the hummocks in a boreal peatland. Environ Res Lett 9(10):105005
Lutz AF, Immerzeel WW, Shrestha AB et al (2014) Consistent increase in High Asia’s runoff due to increasing glacier melt and precipitation. Nat Clim Change 4(7):587–592
Melton JR, Wania R, Hodson EL et al (2013) Present state of global wetland extent and wetland methane modelling: conclusions from a model intercomparison project (WETCHIMP). Biogeosciences 10:753–788
Niu ZG, Zhang HY, Wang XW et al (2012) Mapping wetland changes in China between 1978 and 2008. Chinese Sci Bull 57(22):2813–2823
O'Connor FM, Boucher O, Gedney N et al (2010) Possible role of wetlands, permafrost, and methane hydrates in the methane cycle under future climate change: a review. Rev Geophys 48(4):RG4005
Paudel R, Mahowald NM, Hess PGM et al (2016) Attribution of changes in global wetland methane emissions from pre-industrial to present using CLM4.5-BGC. Environ Res Lett 11(3):034020
Riley WJ, Subin ZM, Lawrence DM et al (2011) Barriers to predicting changes in global terrestrial methane fluxes: analyses using CLM4Me, a methane biogeochemistry model integrated in CESM. Biogeosciences 8(7):1925–1953
Schroeder R, McDonald KC, Chapman BD et al (2015) Development and evaluation of a multi-year fractional surface water data set derived from active/passive microwave remote sensing data. Remote Sens 7(12):16688–16732
Schuur EAG, McGuire AD, Schädel C et al (2015) Climate change and the permafrost carbon feedback. Nature 520(7546):171–179
Sitch S, Smith B, Prentice IC et al (2003) Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model. Glob Chang Biol 9(2):161–185
Song C, Huang B, Richards K et al (2014) Accelerated lake expansion on the Tibetan Plateau in the 2000s: induced by glacial melting or other processes? Water Resour Res 50(4):3170–3186
Song WM, Wang H, Wang GS et al (2015) CH4 emissions from an alpine wetland on the Tibetan Plateau: neglected but vital contribution of non-growing season. J Geophys Res Biogeosci 120(8):1475–1490
Stocker BD, Spahni R, Joos F (2014) DYPTOP: a cost-efficient TOPMODEL implementation to simulate sub-grid spatio-temporal dynamics of global wetlands and peatlands. Geosci Model Dev 7(6):3089–3110
Su F, Zhang L, Ou T et al (2016) Hydrological response to future climate changes for the major upstream river basins in the Tibetan Plateau, Global Planet. Change 136:82–95
Walter BP, Heimann M, Shannon RD et al (1996) A process-based model to derive methane emissions from natural wetlands. Geophys Res Lett 23(25):3731–3734
Wang Y, Chen H, Zhu Q et al (2014) Soil methane uptake by grasslands and forests in China. Soil Biol Biochem 74:70–81
Wania R, Ross I, Prentice IC (2010) Implementation and evaluation of a new CH4 model within a dynamic global vegetation model: LPJ-WHyMe. Geosci Mod Dev 3(2):565–584
Watts JD, Kimball JS, Parmentier FJW et al (2014) A satellite data driven biophysical modeling approach for estimating northern peatland and tundra CO2 and CH4 fluxes. Biogeosciences 11:1961
Wei D, Wang X (2017) Uncertainty and dynamics of natural wetland CH4 release in China: research status and priorities. Atmos Environ 154:95–105
Wei SG, Dai Y, Liu B et al (2013) A China data set of soil properties for land surface modelling. J Adv Mod Earth Sys 5(2):212–224
Wei D, Xu-Ri, Tenzin-Tarchen et al (2015a) Considerable CH4 uptake by alpine grasslands despite the cold climate: in situ measurements on the central Tibetan Plateau, 2008–2013. Glob Chang Biol 21:777–788
Wei D, Xu-Ri, Tenzin-Tarchen et al (2015b) Revisiting the role of CH4 emissions from alpine wetlands on the Tibetan Plateau: evidence from two in situ measurements at 4758 and 4320 m above sea level. J Geophys Res Biogeosci 120(9):1741–1750
Xu X and Tian H (2012) CH4 exchange between marshland and the atmosphere over China during 1949–2008. Global Biogeochem Cy 26(2):GB2006. https://doi.org/10.1029/2010GB003946
Xu K, Kong C, Liu J et al (2010) Using methane dynamic model to estimate methane emission from natural wetlands in China. Geoinformatics, 18th International Conference on. IEEE 2010:1–4
Xu X, Elias DA, Graham DE et al (2015) A microbial functional group−based module for simulating methane production and consumption: application to an incubated permafrost soil. J Geophys Res Biogeosci, 2015 120(7):1315–1333
Xu X, Yuan F, Hanson PJ et al (2016) Reviews and syntheses: four decades of modeling methane cycling in terrestrial ecosystems. Biogeosci Diss. https://doi.org/10.5194/bg-2016-37
Xue Z, Zhang Z, Lu X et al (2014) Predicted areas of potential distributions of alpine wetlands under different scenarios in the Qinghai-Tibetan Plateau. Glob Planet Chang 123:77–85
Yang RM, Zhu LP, Wang JB et al (2017) Spatiotemporal variations in volume of closed lakes on the Tibetan Plateau and their climatic responses from 1976 to 2013. Climat Change 140:621
Yao T, Thompson L, Yang W et al (2012) Different glacier status with atmospheric circulations in Tibetan Plateau and surroundings. Nat Clim Chang 2(9):663–667
Yvon-Durocher G, Allen AP, Bastviken D et al (2014) Methane fluxes show consistent temperature dependence across microbial to ecosystem scales. Nature 507(7493):488–491
Zhang X, Jiang H (2014) Spatial variations in methane emissions from natural wetlands in China. Inter J Environ Sci Tech 11(1):77–86
Zhang Y, Wang G, Wang Y (2011) Changes in alpine wetland ecosystems of the Qinghai–Tibetan plateau from 1967 to 2004. Environ Monit Assess 180(1–4):189–199
Zhang G, Yao T, Xie H et al (2013) Increased mass over the Tibetan Plateau: from lakes or glaciers? Geophys Res Lett 40(10):2125–2130
Zhang GQ, Yao TD, Shum CK et al (2017) Lake volume and groundwater storage variations in Tibetan Plateau’s endorheic basin. Geophys Res Lett. https://doi.org/10.1002/2017GL073773
Zhao K (1999) Marshes and swamps of China: a compilation. Science Press of China, Beijing
Zhao Y, Liu P, Wang JQ et al (2014) Observation of global background atmospheric concentration in Waliguan, 1991 to 2011. Qinghai Environ 24(1):32–35 (in Chinese with English abstract)
Zhu X, Zhuang Q, Chen M et al (2011) Rising methane emissions in response to climate change in northern Eurasia during the 21st century. Environm Res Lett 6(4):045211
Zhu Q, Peng C, Chen H et al (2015) Estimating global natural wetland methane emissions using process modelling: spatial-temporal patterns and contributions to atmospheric methane fluctuations. Glob Ecol Biogeogr 24(8):959–972
Zhuang Q, Melillo JM, Kicklighter DW et al (2004) Methane fluxes between terrestrial ecosystems and the atmosphere at northern high latitudes during the past century: a retrospective analysis with a process-based biogeochemistry model. Global Biogeochem Cy 18(3):GB3010
Zhuang QL, Chen M, Xu K et al (2013) Response of global soil consumption of atmospheric CH4 to changes in atmospheric climate and nitrogen deposition. Global Biogeochem. Cy. 27(3):650–663
Zhuang QL, Zhu XD, He YJ et al (2015) Influences of changes in wetland inundation extent on net fluxes of carbon dioxide and methane in northern high latitudes from 1993 to 2004. Environ Res Lett 10:095009. https://doi.org/10.1088/1748-9326/10/9/095009
Zobler L (1986) A world soil file for global climate modelling. NASA Technical Memorandum, No. 87802. NASA Goddard Institute for Space Studies, New York, U.S.A.
Acknowledgements
This study was supported by the National Natural Scientific Foundation of China (41671102, 41571205), the National Key Research and Development Program (2016YFC0502002), and the Young Innovation Foundation of the Institute of Mountain Hazards and Environments, CAS (SDS-QN-1604, SDSQB-2016-02). We thank Dr. Rita Wania for sharing the LPJ-WHyMe code and Prof. Niu Zhenguo for sharing the wetland maps of China.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
ESM 1
(DOCX 1363 kb).
Rights and permissions
About this article
Cite this article
Wei, D., Wang, X. Recent climatic changes and wetland expansion turned Tibet into a net CH4 source. Climatic Change 144, 657–670 (2017). https://doi.org/10.1007/s10584-017-2069-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10584-017-2069-y