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Carbon transfer, partitioning and residence time in the plant-soil system: a comparison of two ¹³CO₂ labelling techniques


Studer, Mirjam S; Siegwolf, R T W; Abiven, Samuel (2013). Carbon transfer, partitioning and residence time in the plant-soil system: a comparison of two ¹³CO₂ labelling techniques. Biogeosciences Discussions, 10(10):16237-16267.

Abstract

Various ¹³CO₂ labelling approaches exist to trace carbon (C) dynamics in plant-soil systems. However, it is not clear if the different approaches yield the same results. Moreover, there is no consistent way of data analysis to date. In this study we compare with the same experimental setup the two main techniques: the pulse and the continuous labelling. We evaluate how these techniques perform to estimate the C transfer velocity, the C partitioning along time and the C residence time in different plant-soil compartments.
We used identical plant-soil systems (Populus deltoides x nigra, Cambisol soil) to compare the pulse labelling approach (exposure to 99 atom% ¹³CO₂ for three hours, traced for eight days) with a continuous labelling (exposure to 10 atom% ¹³CO₂, traced for 14 days). The experiments were conducted in climate chambers under controlled environmental conditions. Before label addition and at four successive sampling dates, the plant-soil systems were destructively harvested, separated into leaves, petioles, stems, cuttings, roots and soil and the microbial biomass was extracted from the soil. The soil CO₂ efflux was sampled throughout the experiment. To model the C dynamics we used an exponential function to describe the ¹³C signal decline after pulse labelling. For the evaluation of the ¹³C distribution during the continuous labelling we suggest to use a logistic function.
Pulse labelling is best suited to assess the maximum C transfer velocity from the leaves to other compartments. With continuous labelling, the mean transfer velocity through a compartment, including short-term storage pools, can be observed. The C partitioning between the plant-soil compartments was similar for both techniques, but the time of sampling had a large effect: Shortly after labelling the allocation into leaves was overestimated and the soil ¹³CO₂ efflux underestimated. The results of belowground C partitioning were consistent for the two techniques only after eight days of labelling, when the ¹³C import and export was at equilibrium. The C mean residence time estimated by the rate constant of the exponential and logistic function was not valid here. However, the duration of the accumulation phase (continuous labelling) could be used to estimate the C residence time.
Pulse and continuous labelling techniques are both well suited to assess C cycling. With pulse labelling the dynamics of fresh assimilates can be traced, whereas the continuous labelling gives a more integrated result on C cycling, due to the homogeneous labelling of C pools and fluxes. The logistic model suggested here, has the potential to assess different parameters of C cycling independent on the sampling date and with no disputable assumptions.

Abstract

Various ¹³CO₂ labelling approaches exist to trace carbon (C) dynamics in plant-soil systems. However, it is not clear if the different approaches yield the same results. Moreover, there is no consistent way of data analysis to date. In this study we compare with the same experimental setup the two main techniques: the pulse and the continuous labelling. We evaluate how these techniques perform to estimate the C transfer velocity, the C partitioning along time and the C residence time in different plant-soil compartments.
We used identical plant-soil systems (Populus deltoides x nigra, Cambisol soil) to compare the pulse labelling approach (exposure to 99 atom% ¹³CO₂ for three hours, traced for eight days) with a continuous labelling (exposure to 10 atom% ¹³CO₂, traced for 14 days). The experiments were conducted in climate chambers under controlled environmental conditions. Before label addition and at four successive sampling dates, the plant-soil systems were destructively harvested, separated into leaves, petioles, stems, cuttings, roots and soil and the microbial biomass was extracted from the soil. The soil CO₂ efflux was sampled throughout the experiment. To model the C dynamics we used an exponential function to describe the ¹³C signal decline after pulse labelling. For the evaluation of the ¹³C distribution during the continuous labelling we suggest to use a logistic function.
Pulse labelling is best suited to assess the maximum C transfer velocity from the leaves to other compartments. With continuous labelling, the mean transfer velocity through a compartment, including short-term storage pools, can be observed. The C partitioning between the plant-soil compartments was similar for both techniques, but the time of sampling had a large effect: Shortly after labelling the allocation into leaves was overestimated and the soil ¹³CO₂ efflux underestimated. The results of belowground C partitioning were consistent for the two techniques only after eight days of labelling, when the ¹³C import and export was at equilibrium. The C mean residence time estimated by the rate constant of the exponential and logistic function was not valid here. However, the duration of the accumulation phase (continuous labelling) could be used to estimate the C residence time.
Pulse and continuous labelling techniques are both well suited to assess C cycling. With pulse labelling the dynamics of fresh assimilates can be traced, whereas the continuous labelling gives a more integrated result on C cycling, due to the homogeneous labelling of C pools and fluxes. The logistic model suggested here, has the potential to assess different parameters of C cycling independent on the sampling date and with no disputable assumptions.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2013
Deposited On:06 Dec 2013 15:32
Last Modified:08 Dec 2017 00:48
Publisher:Copernicus Publications
ISSN:1810-6285
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.5194/bgd-10-16237-2013

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