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How far do experimentally elevated CO 2 levels reach into the surrounding? – An example using the 13 C label of soil organic matter as an archive
Author(s) -
HEIM ALEXANDER,
MOSER NINA,
BLUM HERBERT,
SCHMIDT MICHAEL W. I.
Publication year - 2009
Publication title -
global change biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.146
H-Index - 255
eISSN - 1365-2486
pISSN - 1354-1013
DOI - 10.1111/j.1365-2486.2009.01843.x
Subject(s) - fumigation , transect , environmental science , environmental chemistry , organic matter , soil carbon , carbon dioxide , soil organic matter , soil water , soil science , atmospheric sciences , total organic carbon , chemistry , ecology , geology , biology
During the last two decades, free air CO 2 enrichment (FACE) studies have been conducted to study the effects of rising atmospheric CO 2 concentrations on ecosystems. The distances between fumigated and control plots differ widely among those projects, but no experimental data are available how far into the surrounding area an effect of CO 2 fumigation can be detected. As the CO 2 gas added to the fumigated plots has a different 13 C label than ambient atmospheric CO 2 , its carbon can be traced into plants and soil organic matter (SOM). The Swiss FACE in Eschikon had been conducted for 10 years on a grassland site. After it had ended, we analysed soil samples from three transects extending from the plots to the surrounding area for their organic carbon (C org ) content and carbon isotopic signature. We determined the maximum spatial extension to which carbon originating from the fumigation was incorporated into SOM. A budget of the fumigation gas‐derived C org in the upper 10 cm of the soil showed that approximately 50 kg C were stored within the plots, and an additional 31 kg C were stored in their immediate surroundings up to a distance of 9 m from the gas pipes. The presented approach provides us with a method to determine a posteriori the extension to which the CO 2 fumigation treatment contaminated its immediate surroundings during a FACE experiment. In the presented example, this showed that the distances between plots could have been reduced significantly. Although not generalizable to other experimental settings, the finding indicates that optimizing the spatial layout, e.g. by modelling gas dispersion, will be useful when planning future large‐scale FACE infrastructures. Our approach provides a solid basis to test such gas‐dispersion models on existing FACE sites before planning new sites.