Abstract
CH4 emissions could vary with biotic and abiotic factors at different time scales. However, little is known about temporal dynamics of CH4 flux and its controls in coastal marshes. In this study, CH4 flux was continuously measured with the eddy covariance technique for 2 years in a subtropical salt marsh in eastern China. Wavelet analysis was applied to explore the multi-scale variations of CH4 flux and its controls. Additionally, partial wavelet coherence was used to disentangle confounding effects of measured variables. No consistent diurnal pattern was found in CH4 fluxes. However, the hot-moments of CH4 flux were observed after nighttime high tide on days near the spring tide. Periodic dynamics were also observed at multi-day, semilunar and seasonal scales. Tide height in summer had a negative effect on CH4 flux at the semilunar scale. Air temperature explained most variations in CH4 fluxes at the multi-day scale but CH4 flux was mainly controlled by PAR and GEP at the seasonal scale. Air temperature explained 48% and 56% of annual variations in CH4 fluxes in 2011 and 2012, respectively. In total, the salt marsh acted as a CH4 source (17.6 ± 3.0 g C–CH4 m−2 year−1), which was higher than most studies report for inland wetlands. Our results show that CH4 fluxes exhibit multiple periodicities and its controls vary with time scale; moreover, CH4 flux is strongly modified by tide. This study emphasizes the importance of ecosystem-specific measurements of CH4 fluxes, and more work is needed to estimate regional CH4 budgets.
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References
Baldocchi D (2014) Measuring fluxes of trace gases and energy between ecosystems and the atmosphere—the state and future of the eddy covariance method. Glob Chang Biol 20:3600–3609. https://doi.org/10.1111/gcb.12649
Baldocchi D et al (2001) FLUXNET: a new tool to study the temporal and spatial variability of ecosystem–scale carbon dioxide, water vapor, and energy flux densities. Bull Am Meteorol Soc 82:2415–2434. https://doi.org/10.1175/1520-0477(2001)082<2415:fantts>2.3.co;2
Bartlett KB, Bartlett DS, Harriss RC, Sebacher DI (1987) Methane emissions along a salt marsh salinity gradient. Biogeochemistry 4:183–202. https://doi.org/10.1007/bf02187365
Bridgham SD, Cadillo-Quiroz H, Keller JK, Zhuang Q (2013) Methane emissions from wetlands: biogeochemical, microbial, and modeling perspectives from local to global scales. Glob Chang Biol 19:1325–1346. https://doi.org/10.1111/gcb.12131
Brix H, Sorrel BK, Orr PT (1992) Internal pressurization and convective gas flow in some emergent. Limnol Oceanogr 37:1420–1433. https://doi.org/10.4319/lo.1992.37.7.1420
Bu N-S (2013) Effects of semi-lunar tidal cycling on soil CO2 and CH4 emissions: a case study in the Yangtze River estuary. Fudan University, Shanghai
Bu N-S et al (2015) Effects of semi-lunar tidal cycling on soil CO2 and CH4 emissions: a case study in the Yangtze River estuary, China. Wetl Ecol Manag 23(4):727–736. https://doi.org/10.1007/s11273-015-9415-5
Bubier JL, Moore TR (1994) An ecological perspective on methane emissions from northern wetlands. Trends Ecol Evol 9:460–464. https://doi.org/10.1016/0169-5347(94)90309-3
Chanton JP, Whiting GJ (1996) Methane stable isotopic distributions as indicators of gas transport mechanisms in emergent aquatic plants. Aquat Bot 54:227–236. https://doi.org/10.1016/0304-3770(96)01047-9
Cheng X et al (2007) CH4 and N2O emissions from Spartina alterniflora and Phragmites australis in experimental mesocosms. Chemosphere 68:420–427. https://doi.org/10.1016/j.chemosphere.2007.01.004
Cheng X, Luo Y, Xu Q, Lin G, Zhang Q, Chen J, Li B (2010) Seasonal variation in CH4 emission and its 13C-isotopic signature from Spartina alterniflora and Scirpus mariqueter soils in an estuarine wetland. Plant Soil 327:85–94. https://doi.org/10.1007/s11104-009-0033-y
Chmura GL, Anisfeld SC, Cahoon DR, Lynch JC (2003) Global carbon sequestration in tidal, saline wetland soils. Glob Biogeochem Cycles 17(4):1111. https://doi.org/10.1029/2002gb001917
Christensen TR et al (2003) Factors controlling large scale variations in methane emissions from wetlands. Geophys Res Lett 30(7):1414. https://doi.org/10.1029/2002gl016848
Chu H, Chen J, Gottgens JF, Ouyang Z, John R, Czajkowski K, Becker R (2014) Net ecosystem methane and carbon dioxide exchanges in a Lake Erie coastal marsh and a nearby cropland. J Geophys Res 119:722–740. https://doi.org/10.1002/2013jg002520
Dorodnikov M, Knorr KH, Kuzyakov Y, Wilmking M (2011) Plant-mediated CH4 transport and contribution of photosynthates to methanogenesis at a boreal mire: a 14 C pulse-labeling study. Biogeosciences 8:2365–2375. https://doi.org/10.5194/bg-8-2365-2011
Foken T, Gockede M, Mauder M, Mahrt L, Amiro B, Munger W (2004) Post-field data quality control. In: Lee X, Massman W, Law B (eds) Handbook of micrometeorology: a guide for surface flux measurement and aanlysis, vol 29. Kluwer Academic Publishers, Dordrecht, pp 181–208
Granberg G, Mikkela C, Sundh I, Svensson BH, Nilsson M (1997) Sources of spatial variation in methane emission from mires in northern Sweden: a mechanistic approach in statistical modeling. Glob Biogeochem Cycles 11:135–150. https://doi.org/10.1029/96gb03352
Grinsted A, Moore JC, Jevrejeva S (2004) Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Process Geophys 11:561–566. https://doi.org/10.5194/npg-11-561-2004
Hatala JA, Detto M, Baldocchi DD (2012) Gross ecosystem photosynthesis causes a diurnal pattern in methane emission from rice. Geophys Res Lett 39(6):L06409. https://doi.org/10.1029/2012gl051303
Heinsch F, Heilman J, McInnes K, Cobos D, Zuberer D, Roelke D (2004) Carbon dioxide exchange in a high marsh on the Texas Gulf Coast: effects of freshwater availability. Agric For Meteorol 125:159–172. https://doi.org/10.1016/j.agrformat.2004.02.007
Helbig M, Chasmer LE, Kljun N, Quinton WL, Treat CC, Sonnentag O (2017) The positive net radiative greenhouse gas forcing of increasing methane emissions from a thawing boreal forest-wetland landscape. Glob Chang Biol 23:2413–2427. https://doi.org/10.1111/gcb.13520
Holm GO, Perez BC, McWhorter DE, Krauss KW, Johnson DJ, Raynie RC, Killebrew CJ (2016) Ecosystem level methane fluxes from tidal freshwater and brackish marshes of the Mississippi River Delta: implications for coastal wetland carbon projects. Wetlands 36:401–413. https://doi.org/10.1007/s13157-016-0746-7
Homineltenberg J, Mauder M, Droesler M, Heidbach K, Werle P, Schmid HP (2014) Ecosystem scale methane fluxes in a natural temperate bog-pine forest in southern Germany. Agric For Meteorol 198:273–284. https://doi.org/10.1016/j.agrformet.2014.08.017
IPCC (2013) IPCC, 2013: climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge University Press,
Järvi L, Nordbo A, Junninen H, Riikonen A, Moilanen J, Nikinmaa E, Vesala T (2012) Seasonal and annual variation of carbon dioxide surface fluxes in Helsinki, Finland, in 2006–2010. Atmos Chem Phys 12:8475–8489. https://doi.org/10.5194/acp-12-8475-2012
Kirschke S et al (2013) Three decades of global methane sources and sinks. Nat Geosci 6:813–823. https://doi.org/10.1038/ngeo1955
Koebsch F, Jurasinski G, Koch M, Hofmann J, Glatzel S (2015) Controls for multi-scale temporal variation in ecosystem methane exchange during the growing season of a permanently inundated fen. Agric For Meteorol 204:94–105. https://doi.org/10.1016/j.agrformet.2015.02.002
Long KD, Flanagan LB, Cai T (2010) Diurnal and seasonal variation in methane emissions in a northern Canadian peatland measured by eddy covariance. Glob Chang Biol 16:2420–2435. https://doi.org/10.1111/j.1365-2486.2009.02083.x
Mihanović H, Orlić M, Pasarić Z (2009) Diurnal thermocline oscillations driven by tidal flow around an island in the Middle Adriatic. J Mar Syst 78:S157–S168. https://doi.org/10.1016/j.jmarsys.2009.01.021
Minoda T, Kimura M (1994) Contribution of photosynthesized carbon to the methane emitted from paddy fields. Geophys Res Lett 21:2007–2010. https://doi.org/10.1029/94gl01595
Neubauer SC, Franklin RB, Berrier DJ (2013) Saltwater intrusion into tidal freshwater marshes alters the biogeochemical processing of organic carbon. Biogeosciences 10:8171–8183. https://doi.org/10.5194/bg-10-8171-2013
Ng EK, Chan JC (2012) Geophysical applications of partial wavelet coherence and multiple wavelet coherence. J Atmos Ocean Technol 29:1845–1853. https://doi.org/10.1175/jtech-d-12-00056.1
Nicolini G, Castaldi S, Fratini G, Valentini R (2013) A literature overview of micrometeorological CH4 and N2O flux measurements in terrestrial ecosystems. Atmos Environ 81:311–319. https://doi.org/10.1016/j.atmosenv.2013.09.030
Ouyang Z, Chen J, Becker R, Chu H, Xie J, Shao C, John R (2014) Disentangling the confounding effects of PAR and air temperature on net ecosystem exchange at multiple time scales. Ecol Complex 19:46–58. https://doi.org/10.1016/j.ecocom.2014.04.005
Papale D, Valentini R (2003) A new assessment of European forests carbon exchanges by eddy fluxes and artificial neural network spatialization. Glob Chang Biol 9:525–535. https://doi.org/10.1046/j.1365-2486.2003.00609.x
Poffenbarger HJ, Needelman BA, Megonigal JP (2011) Salinity influence on methane emissions from tidal marshes. Wetlands 31:831–842. https://doi.org/10.1007/s13157-011-0197-0
Reichstein M et al (2005) On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Glob Chang Biol 11(9):1424–1439. https://doi.org/10.1111/j.1365-2486.2005.001002.x
Rinne J et al (2007) Annual cycle of methane emission from a boreal fen measured by the eddy covariance technique. Tellus B 59:449–457. https://doi.org/10.1111/j.1600-0889.2007.00261.x
Rosenqvist Å, Forsberg B, Pimentel T, Rauste Y, Richey J (2002) The use of spaceborne radar data to model inundation patterns and trace gas emissions in the central Amazon floodplain. Int J Remote Sens 23:1303–1328. https://doi.org/10.1080/01430060110092911
Stoy PC et al (2005) Variability in net ecosystem exchange from hourly to inter-annual time scales at adjacent pine and hardwood forests: a wavelet analysis. Tree Physiol 25:887–902. https://doi.org/10.1093/treephys/25.7.887
Sturtevant C, Ruddell BL, Knox SH, Verfaillie J, Matthes JH, Oikawa PY, Baldocchi D (2015) Identifying scale–emergent, nonlinear, asynchronous processes of wetland methane exchange. J Geophys Res 121(1):188–204. https://doi.org/10.1002/2015jg003054
Sun Z, Jiang H, Wang L, Mou X, Sun W (2013a) Seasonal and spatial variations of methane emissions from coastal marshes in the northern Yellow River estuary, China. Plant Soil 369:317–333. https://doi.org/10.1007/s11104-012-1564-1
Sun Z, Wang L, Tian H, Jiang H, Mou X, Sun W (2013b) Fluxes of nitrous oxide and methane in different coastal Suaeda salsa marshes of the Yellow River estuary, China. Chemosphere 90:856–865. https://doi.org/10.1016/j.chemosphere.2012.10.004
Tong C, Wang W-Q, Zeng C-S, Marrs R (2010) Methane (CH4) emission from a tidal marsh in the Min River estuary, southeast China. J Environ Sci Health Part A 45:506–516. https://doi.org/10.1080/10934520903542261
Tong C, Huang JF, Hu ZQ, Jin YF (2013) Diurnal variations of carbon dioxide, methane, and nitrous oxide vertical fluxes in a subtropical estuarine marsh on neap and spring tide days. Estuaries Coasts 36:633–642. https://doi.org/10.1007/s12237-013-9596-1
Van Der Nat F-FW, Middelburg JJ, Van Meteren D, Wielemakers A (1998) Diel methane emission patterns from Scirpus lacustris and Phragmites australis. Biogeochemistry 41(1):1–22. https://doi.org/10.1023/a:1005933100905
Vargas R, Detto M, Baldocchi DD, Allen MF (2010) Multiscale analysis of temporal variability of soil CO2 production as influenced by weather and vegetation. Glob Chang Biol 16:1589–1605. https://doi.org/10.1111/j.1365-2486.2009.02111.x
Wang D, Chen Z, Xu S (2009) Methane emission from Yangtze estuarine wetland, China. J Geophys Res 114(G2):1588–1593
Weston NB, Neubauer SC, Velinsky DJ, Vile MA (2014) Net ecosystem carbon exchange and the greenhouse gas balance of tidal marshes along an estuarine salinity gradient. Biogeochemistry 120:163–189. https://doi.org/10.1007/s10533-014-9989-7
Windsor J, Moore T, Roulet N (1992) Episodic fluxes of methane from subarctic fens. Can J Soil Sci 72:441–452. https://doi.org/10.4141/cjss92-037
Xie X, Zhu WB, Guo HQ, Zhao B (2013) Tides and rainfall affect water table depth of coastal wetland. J Fudan Univ (Nat Sci) 52(6):801–806
Xu L, Lin X, Amen J, Welding K, McDermitt D (2014) Impact of changes in barometric pressure on landfill methane emission. Glob Biogeochem Cycles 28:679–695. https://doi.org/10.1002/2013gb004571
Yamamoto A, Hirota M, Suzuki S, Oe Y, Zhang P, Mariko S (2009) Effects of tidal fluctuations on CO2 and CH4 fluxes in the littoral zone of a brackish-water lake. Limnology 10:229–237. https://doi.org/10.1007/s10201-009-0284-6
Yang S-L, Ding P-X, Chen S-L (2001) Changes in progradation rate of the tidal flats at the mouth of the Changjiang (Yangtze) River, China. Geomorphology 38:167–180. https://doi.org/10.1016/s0169-555x(00)00079-9
Yvon-Durocher G et al (2014) Methane fluxes show consistent temperature dependence across microbial to ecosystem scales. Nature 507:488–491. https://doi.org/10.1038/nature13164
Zhao B, Guo HQ, Yan Y, Wang Q, Li B (2008) A simple waterline approach for tidelands using multi-temporal satellite images: a case study in the Yangtze Delta Estuarine. Coast Shelf Sci 77:134–142. https://doi.org/10.1016/j.ecss.2007.09.022
Acknowledgements
This research was financially supported by the National Natural Science Foundation of China (No. 31170450, 41571083), Shanghai Science and Technology Innovation Action Plan (No. 13JC1400400, 13231203503), Shanghai Committee of Science and Technology (14ZR1435100), and the research fund of the State Key Laboratory of Estuarine and Coastal Research (2015KYYW03). Thanks S.-Y. Li, Z.-F. Xu, Z.-M. Deng, Y. Min, B.-Q. Chen, J.-G. Gao, J. Ma, J. Xiong, Y. Hou for their helpful assistances and advices for the manuscript. Thanks J.-H. Li and L.-K. Xu (in LICOR) for technical support of flux calculations and co-spectral analysis by Eddypro. Thanks to J. H. Matthes for helpful suggestions on this manuscript. Thanks to M. Helbig for his professional revision of the English language. Thanks US-China Carbon Consortium (USCCC). H. Li thanks China Scholarship Council (CSC) for offering a scholarship at the University du Quebec at Montreal (UQAM). The authors would like to thank two anonymous reviewers for their constructive comments and suggestions.
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Li, H., Dai, S., Ouyang, Z. et al. Multi-scale temporal variation of methane flux and its controls in a subtropical tidal salt marsh in eastern China. Biogeochemistry 137, 163–179 (2018). https://doi.org/10.1007/s10533-017-0413-y
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DOI: https://doi.org/10.1007/s10533-017-0413-y