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Soil carbon dioxide fluxes in a mixed floodplain forest in the Czech Republic

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    0477593 - ÚVGZ 2018 RIV FR eng J - Journal Article
    Acosta, Manuel - Dařenová, Eva - Dušek, Jiří - Pavelka, Marian
    Soil carbon dioxide fluxes in a mixed floodplain forest in the Czech Republic.
    European Journal of Soil Biology. Roč. 82, SEP (2017), s. 35-42. ISSN 1164-5563. E-ISSN 1778-3615
    R&D Projects: GA MŠMT(CZ) LO1415; GA MŠMT(CZ) LD15040
    Research Infrastructure: CzeCOS II - 90061
    Institutional support: RVO:67179843
    Keywords : CO2 * Soil temperature * Soil moisture * Spatial heterogeneity * Q10
    OECD category: Environmental sciences (social aspects to be 5.7)
    Impact factor: 2.068, year: 2017

    Floodplain forests belong among the most productive, dynamic and diverse ecosystems on Earth. Only few studies have focused on the carbon dioxide fluxes of these ecosystems. Therefore, this study investigated the spatial heterogeneity in soil CO2 efflux in a floodplain forest located in the southeast of the Czech Republic. The study also examined which environmental parameters influence soil CO2 efflux. Moreover, using these obtained measurements a soil CO2 efflux model was applied. To achieve the aims of this study, soil CO2 efflux on 30 positions in 16 campaigns was measured from May to November during the growing season 2016. The efflux during the experiment period ranged from 1.59 to 8.54 μmolCO2 m−2 s−1. The highest soil CO2 effluxes were observed during the summer period while the lowest values were measured during the autumn. A strong relationship between soil CO2 efflux and soil temperature was found (R2 = 0.79). The estimated mean Q10 for the whole 30 positions was of 2.23. We determined that the spatial heterogeneity of soil CO2 efflux was 20% during our study. The cumulative amount of carbon forest floor released from our experimental forest site calculated from our model was 7.4 (±1.1) tC ha−1 y−1 for 2016. Such data are important for developing our knowledge and understanding about carbon dynamics and to improve carbon models for these ecosystems types
    Permanent Link: http://hdl.handle.net/11104/0273901

     
     
Number of the records: 1  

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