2021
DOI: 10.1101/2021.01.28.428520
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Evaluating the tea bag method as a potential tool for detecting the effects of added nutrients and their interactions with climate on litter decomposition

Abstract: It is acknowledged that exogenous nutrient addition often stimulates early-stage litter decomposition in forests and late-stage decomposition is generally suppressed by nitrogen addition, whereas the interactive effects of nutrient addition and abiotic environmental factors, such as climate, on decomposition remain unclear. The tea bag method, which was developed to provide the decomposition rate constant k of early-stage decomposition and stabilization factor S of labile materials in the late stage, is a pote… Show more

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Cited by 10 publications
(12 citation statements)
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“…The generated mass loss data of green and rooibos tea are not affected by any environmental factors and contain only observation errors: the mass losses of green and rooibos tea independently follow normal distributions with different means and standard deviations. Therefore, the calculated k and S should not be correlated with each other unless the nonindependence of k and S artificially affects the relationship between k and S. In other words, if any correlations are observed, they are due to artificial effects derived from the nonindependence of k and S. Following Mori, Hashimoto, and Sakai (2021), who observed positive correlations between k and S at a study site, we predicted that k and S are positively correlated.…”
Section: Introductionmentioning
confidence: 89%
“…The generated mass loss data of green and rooibos tea are not affected by any environmental factors and contain only observation errors: the mass losses of green and rooibos tea independently follow normal distributions with different means and standard deviations. Therefore, the calculated k and S should not be correlated with each other unless the nonindependence of k and S artificially affects the relationship between k and S. In other words, if any correlations are observed, they are due to artificial effects derived from the nonindependence of k and S. Following Mori, Hashimoto, and Sakai (2021), who observed positive correlations between k and S at a study site, we predicted that k and S are positively correlated.…”
Section: Introductionmentioning
confidence: 89%
“…We note that the asymptote model did not fit the real-world data well, and the discrepancy between the two model types may therefore have been overestimated. However, considering that we could not determine S, and that under-or over estimation of S leads to incorrect estimation of k (Mori et al, 2021b), we concluded that the standard protocol used for the TBI method, which was developed in a terrestrial ecosystem, is not applicable to aquatic ecosystems.…”
Section: Evaluating the Decomposition Constant And Tbi-based Asymptote Models In Aquatic Environmentsmentioning
confidence: 97%
“…This method uses two types of commercially available tea bags (green and rooibos teas, Lipton) as standard materials to calculate the TBI, which consists of two parameters: a stabilization factor S (the stabilized portion of the hydrolysable fraction during decomposition) and the decomposition constant k of an asymptote model (Keuskamp et al, 2013). Due to its cost-effectiveness and ability to collect comparable globally distributed data (Keuskamp et al, 2013), multiple studies have used the TBI (Becker and Kuzyakov, 2018;Fanin et al, 2020;Fujii et al, 2017;Mori et al, 2021b;Mueller et al, 2018;Petraglia et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Our study underlines the importance of considering the effects of different drivers in time and space for a better understanding of litter decomposition processes. Especially analyses of litter chemistry, soil properties, soil biodiversity, and their interactive effects (Mori et al, 2021) on decomposition processes are crucial for improved understanding of this fundamental biogeochemical process.…”
Section: Impacts Of Climate and N Deposition On Litter Mass Lossmentioning
confidence: 99%