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Journal Article

Modeling radiocarbon dynamics in soils: SoilR version 1.1

MPS-Authors
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Sierra,  Carlos
Quantitative Ecosystem Ecology, Dr. C. Sierra, Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Müller,  Markus
Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Trumbore,  Susan E.
Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society;

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BGC2026s1.zip
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Citation

Sierra, C., Müller, M., & Trumbore, S. E. (2014). Modeling radiocarbon dynamics in soils: SoilR version 1.1. Geoscientific Model Development, 7(5), 1919-1931. doi:10.5194/gmd-7-1919-2014.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0019-1F76-7
Abstract
Radiocarbon is an important tracer of the global carbon cycle that helps to understand
carbon dynamics in soils. It is useful to estimate rates of organic matter cycling as
well as the mean residence or transit time of carbon in soils. We included a set of
5 functions to model the fate of radiocarbon in soil organic matter within the SoilR package
for the R environment for computing. Here we present the main system equations
and functions to calculate the transfer and release of radiocarbon from different soil
organic matter pools. Similarly, we present functions to calculate the mean transit time
for different pools and the entire soil system. This new version of SoilR also includes
10 a group of datasets describing the amount of radiocarbon in the atmosphere over time,
data necessary to estimate the incorporation of radiocarbon in soils. Also, we present
examples on how to obtain parameters of pool-based models from radiocarbon data
using inverse parameter estimation. This implementation is general enough so it can
also be used to trace the incorporation of radiocarbon in other natural systems that can 15 be represented as linear dynamical systems.