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Quantifying root lateral distribution and turnover using pine trees with a distinct stable carbon isotope signature
Article first published online: 15 MAR 2005
DOI: 10.1111/j.0269-8463.2005.00928.x
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How to Cite
JOHNSEN, K., MAIER, C. and KRESS, L. (2005), Quantifying root lateral distribution and turnover using pine trees with a distinct stable carbon isotope signature. Functional Ecology, 19: 81–87. doi: 10.1111/j.0269-8463.2005.00928.x
Publication History
- Issue published online: 15 MAR 2005
- Article first published online: 15 MAR 2005
- Received 16 December 2003; revised 29 June 2004; accepted 3 September 2004
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Keywords:
- 13C;
- carbon isotopes;
- carbon sequestration
Summary
- 1In order to help assess spatial competition for below-ground resources, we quantified the effects of fertilization on root biomass quantity and lateral root distribution of mid-rotation Pinus taeda trees. Open-top chambers exposed trees to ambient or ambient plus 200 µmol mol−1 atmospheric CO2 for 31 months.
- 2Tank CO2 was depleted in atmospheric 13C; foliage of elevated CO2 trees had δ13C of −42·9, compared with −29·1 for ambient CO2 trees.
- 3Roots 1 m from the base of elevated CO2-grown trees had more negative δ13C relative to control trees, and this difference was detected, on average, up to 5·8, 3·7 and 3·7 m away from the trees for 0–2, 2–5 and >5 mm root-size classes, respectively. Non-fertilized tree roots extended as far as fertilized trees despite the fact that their above-ground biomass was less than half that of fertilized trees.
- 4These results are informative with respect to root sampling intensity and protocol, and the distances required between experimental manipulations to evaluate below-ground processes of independent treatments.
- 5Fine-root turnover has usually been estimated to range from weeks to 3 years, representing a major avenue of carbon flux. Using a mixing model we calculated that 0–2 mm roots had a mean residence time of 4·5 years indicating relatively slow fine-root turnover, a result that has major implications in modelling C cycling.

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