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Seasonal and inter-annual variability of soil CO2 efflux in a Norway spruce forest over an eight-year study
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SYSNO ASEP 0489008 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Seasonal and inter-annual variability of soil CO2 efflux in a Norway spruce forest over an eight-year study Author(s) Acosta, Manuel (UEK-B) RID, ORCID, SAI
Dařenová, Eva (UEK-B) RID, ORCID, SAI
Krupková, Lenka (UEK-B)
Pavelka, Marian (UEK-B) RID, ORCID, SAISource Title Agricultural and Forest Meteorology. - : Elsevier - ISSN 0168-1923
Roč. 256, jun (2018), s. 93-103Number of pages 11 s. Language eng - English Country NL - Netherlands Keywords Automated chamber system ; Day of the year ; Picea abies ; Soil carbon flux ; Temperature Soil water content Subject RIV EH - Ecology, Behaviour OECD category Ecology R&D Projects LO1415 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) EF16_013/0001609 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Research Infrastructure CzeCOS II - 90061 - Ústav výzkumu globální změny AV ČR, v. v. i. Method of publishing Limited access Institutional support UEK-B - RVO:86652079 UT WOS 000437060700010 EID SCOPUS 85044955942 DOI 10.1016/j.agrformet.2018.03.005 Annotation Automated soil CO2 efflux chamber measurements were carried out over a period of eight years in a young Norway spruce forest in the northeast region of the Czech Republic to determine seasonal and inter-annual variables affecting this flux. The data obtained was summarized and analysed with the aims of estimating long-term carbon losses from the soil and comparing selected models to determine the model best describing soil CO2 efflux. Our results show that seasonal variation in soil CO2 efflux was driven mainly by soil temperature, while inter-annual variation showed the closest relationship with precipitation. The total amount of carbon released from the soil into the atmosphere per season varied from 6.4 to 11.2 tC ha−1 over the eight-year record. One of the variables used in the CO2 efflux models, beside environmental variables, was day of year (DOY). Incorporating this variable into models improved the estimation of soil CO2 efflux dynamics. Therefore, we assume that models incorporating DOY could be used effectively to gap-fill measured soil chamber data. These models could also be appropriate for filling longer gaps on a scale from days to weeks, because DOY, as a single parameter, covers up to 80% of variability in the data. This study also demonstrated the different levels of correlation between investigated climate variables and soil CO2 efflux at seasonal and inter-annual time scales. This highlights the importance of different environmental variables in interpreting long-term soil CO2 efflux data and also modelling the complexity of the processes connected with soil CO2 efflux in Norway spruce forest. Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2019 Electronic address https://www.sciencedirect.com/science/article/pii/S0168192318300856?via%3Dihub
Number of the records: 1