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Articles
  • OpenAccess
  • The Spatial and Temporal Variation Characteristics of CH4 and CO2 Emission Flux under Different Land Use Types in the Yellow River Delta Wetland  [CGCC 2015]
  • DOI: 10.4236/gep.2015.36005   PP.26 - 32
  • Author(s)
  • Qingfeng Chen, Junjian Ma, Changsheng Zhao, Rongbin Li
  • ABSTRACT

  • The Yellow River Delta Wetland is one of the youngest wetlands, and also the most complete, extensive wetlands in China. The wetland in this delta is ecologically important due to their hydrologic attributes and their roles as ecotones between terrestrial and aquatic ecosystems. In the study, the spatial and temporal variation characteristics of CH4 and CO2 emission flux under five kinds of land use types in the wetland were investigated. The results indicated that the greenhouse gas emission flux, especially the CO2 and CH4, showed distinctly spatial and temporal variation under different land use types in the wetland. In the spring, the emission flux of CO2 was higher than that of CO2 in the autumn, and appeared negative in HW3 and HW4 in the autumn. CH4 emission flux of HW4 and HW5 was negative in the spring and autumn, which indicated that the CH4 emission process was net absorption. Among the five kinds of land use types, the CO2 emission flux of HW4 discharged the largest emission flux reaching 29.3 mg.m-2.h-1, but the CH4 emission flux of HW2 discharged the largest emission flux reaching 0.15 mg.m-2.h-1. From the estuary to the inland, the emission flux of CO2 was decreased at first and then appeared increasing trend, but the emission flux of CH4 was contrary to CO2.

  • KEYWORDS
  • Wetland, CH4 and CO2, Emission Flux, Land Use, Spatial and Temporal Variation
  • References
  • [1]
    Nnoby, R. (1997) Carbon cycle: Inside the Black Box. Nature, 388, 522-523.
    http://dx.doi.org/10.1038/41441
    [2]
    Sahagian, D. and Melack, J. (1998) Global Wetland Distribution and Functional Characterization: Trace Gases and the hydrologic Cycle. IGBP Report 46.
    [3]
    Han, G., Xing, Q., Yu, J., et al. (2014) Agricultural Reclamation Effects on Ecosystem CO2 Exchange of a Coastal Wetland in the Yellow River Delta. Agri-culture, Ecosystems & Environment, 196, 187-198.
    http://dx.doi.org/10.1016/j.agee.2013.09.012
    [4]
    IPCC (International Panel on Climate Change) (1996) Climate Change 1996—Impacts, Adaptations and Mitigation of Climate Change: Scientific Technical Analysis. Contribution of Working Group II to the Second Assessment Report of the IPCC. Cambridge University Press, Cambridge.
    [5]
    Bassi, N., Kumar, M.D., Sharma, A., et al. (2014) Status of Wetlands in India: A Review of Extent, Ecosystem Benefits, Threats and Management Strategies. Journal of Hydrology: Regional Studies, 2, 1-19.
    http://dx.doi.org/10.1016/j.ejrh.2014.07.001
    [6]
    Qi, S. and Fang, L. (2007) Environmental Degradation in the Yellow River Delta, Shandong Province, China. AMBIO: A Journal of the Human Environment, 36, 610-611.
    http://dx.doi.org/10.1579/0044-7447(2007)36[610:EDITYR]2.0.CO;2
    [7]
    Xu, X., Lin, H. and Fu, Z. (2004) Probe into the Method of Regional Ecological Risk Assessment—A Case Study of Wetland in the Yellow River Delta in China. Journal of Environmental Management, 70, 253-262.
    http://dx.doi.org/10.1016/j.jenvman.2003.12.001
    [8]
    Liu, X.Z. and Qi, S.Z. (2011) Wetlands Environmental Degra-dation in the Yellow River Delta, Shandong Province of China. Procedia Environmental Sciences, 11, 701-705.
    http://dx.doi.org/10.1016/j.proenv.2011.12.109
    [9]
    Qin, Y., Yang, Z. and Yang, W. (2010) A Novel Index System for Assessing Ecological Risk under Water Stress in the Yellow River Delta Wetland. Procedia Environmental Sciences, 2, 535-541.
    http://dx.doi.org/10.1016/j.proenv.2010.10.058
    [10]
    Chen, Q.F., Ma, J.J., Liu, J.H., et al. (2013) Characteristics of Greenhouse Gas Emission in the Yellow River Delta Wetland. International Biodeterioration & Biodegradation, 85, 646-651.
    http://dx.doi.org/10.1016/j.ibiod.2013.04.009
    [11]
    Funk, D.W., Noel, L.E. and Freedman, A.H. (2004) En-vironmental Gradients, Plant Distribution, and Species Richness in Arctic Salt Marsh near Prudhoe Bay, Alaska. Wet-lands Ecology and Management, 12, 215-233.
    http://dx.doi.org/10.1023/B:WETL.0000034074.81373.65
    [12]
    He, Q., Cui, B.S., Zhao, X.S., Fu, H.L. and Liao, X.L. (2009) Relationships between Salt Marsh Vegetation Distribution/Diversity and Soil Chemical Factors in the Yellow River Estuary. Acta Ecologica Sinica, 29, 676-686.
    [13]
    Tessier, A., Campbell, P.G.C. and Bisson, M. (1979) Sequen-tial Extraction Procedure for the Speciation of Particulate Trace Metals. Analytical Chemistry, 51, 844-851.
    http://dx.doi.org/10.1021/ac50043a017
    [14]
    APHA (2005) Standard Methods for the Examination of Water and Wastewater. 21st Edition, American Public Health Association, Washington DC.
    [15]
    Li, M. and Li, W. (2009) Review on Carbon Cycle of Wetland Ecosystem. Huazhong Agri. Univ., 28, 116-123.

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