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Fine-root turnover rates of European forests revisited: an analysis of data from sequential coring and ingrowth cores |
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| Authors: | I. Brunner M. R. Bakker R. G. Björk Y. Hirano M. Lukac X. Aranda I. Børja T. D. Eldhuset H. S. Helmisaari C. Jourdan B. Konôpka B. C. López C. Miguel Pérez H. Persson I. Ostonen |
| Affiliation: | 1. Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903, Birmensdorf, Switzerland 2. University of Bordeaux, UMR1220 TCEM, 33175, Gradignan, France 3. INRA, UMR1220 TCEM, 33883, Villenave d’Ornon, France 4. Department of Biological and Environmental Sciences, University of Gothenburg, P.O. Box 461, 405 30, Gothenburg, Sweden 5. Graduate School of Environmental Studies, Nagoya University, Nagoya, 464-8601, Japan 6. School of Agriculture, Policy and Development, University of Reading, Reading, RG6 6AR, UK 7. Ecophysiology, IRTA Torre Marimon, 08140, Caldes de Montbui, Spain 8. Norwegian Forest and Landscape Institute, P.O. Box 115, 1431, ?s, Norway 9. Department of Forest Sciences, University of Helsinki, P.O. Box 27, 00014, Helsinki, Finland 10. CIRAD, UMR Eco&Sols, 2, Place Pierre Viala, 34060, Montpellier, France 11. Forest Research Institute, National Forest Centre, 96001, Zvolen, Slovak Republic 12. Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Kamycka 129, Suchdol, 16521, Prague, Czech Republic 13. CREAF Center for Ecological Research and Forestry Applications, and Ecology Unit of the Department of Plant and Animal Biology and Ecology, Edifici Ciències UAB, 08193, Bellaterra, Spain 14. Department of Ecology, Swedish University of Agricultural Sciences SLU, P.O. Box 7044, 750 07, Uppsala, Sweden 15. Institute of Ecology and Earth Sciences, University of Tartu, Vanemuise 46, 51014, Tartu, Estonia |
| Abstract: | Background and AimsForest trees directly contribute to carbon cycling in forest soils through the turnover of their fine roots. In this study we aimed to calculate root turnover rates of common European forest tree species and to compare them with most frequently published values.MethodsWe compiled available European data and applied various turnover rate calculation methods to the resulting database. We used Decision Matrix and Maximum-Minimum formula as suggested in the literature.ResultsMean turnover rates obtained by the combination of sequential coring and Decision Matrix were 0.86 yr?1 for Fagus sylvatica and 0.88 yr?1 for Picea abies when maximum biomass data were used for the calculation, and 1.11 yr?1 for both species when mean biomass data were used. Using mean biomass rather than maximum resulted in about 30 % higher values of root turnover. Using the Decision Matrix to calculate turnover rate doubled the rates when compared to the Maximum-Minimum formula. The Decision Matrix, however, makes use of more input information than the Maximum-Minimum formula.ConclusionsWe propose that calculations using the Decision Matrix with mean biomass give the most reliable estimates of root turnover rates in European forests and should preferentially be used in models and C reporting. |
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