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  Reconciling 14C and minirhizotron-based estimates of fine-root turnover with survival functions

Ahrens, B., & Reichstein, M. (2014). Reconciling 14C and minirhizotron-based estimates of fine-root turnover with survival functions. Journal of Plant Nutrition and Soil Science, 177(2), 287-296. doi:10.1002/jpln.201300110.

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BGC1884.pdf (Publisher version), 218KB
 
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Ahrens, Bernhard1, Author           
Reichstein, Markus2, Author           
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1Soil Processes, Dr. Marion Schrumpf, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938308              
2Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              

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 Abstract: The turnover of fine-roots is a crucial component for the input of carbon to the soil. The amount of root litter input is depending on estimates of turnover times from different techniques. Turnover times from fine-root cameras (minirhizotrons) often yield 75% higher root litter input estimates than turnover times estimated with the bomb-radiocarbon signature of fine-roots. We introduce a generic framework for the analysis of fine-root 14C with different survival functions. So far, mostly an exponential function has been used to estimate the turnover time and mean age of fine-roots. In the context of the introduced survival function framework we clarify the terms turnover time, mean residence time, mean longevity and mean age commonly used in studies of root turnover. Using a unique time series of fine-root 14C (Fröberg 2012), we test if survival functions other than the exponential function are better in accordance with turnover time estimates commonly found with other methods. A survival function that corresponds to a two-pool model was best in agreement with minirhizotron-based estimates (mean residence time of 1.9 years). We argue that using fine-root 14C and minirhizotron time-to-death data together would give the best constraints on fine-root turnover. At the same time this could allow quantifying systematic biases inherent two both techniques.

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 Dates: 2013-10-072014-01-292014
 Publication Status: Issued
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 Identifiers: Other: BGC1884
DOI: 10.1002/jpln.201300110
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Title: Journal of Plant Nutrition and Soil Science
Source Genre: Journal
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Publ. Info: Weinheim : Wiley-Blackwell
Pages: - Volume / Issue: 177 (2) Sequence Number: - Start / End Page: 287 - 296 Identifier: ISSN: 1436-8730
CoNE: https://pure.mpg.de/cone/journals/resource/1436-8730