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  Representing and understanding the carbon cycle using the theory of compartmental dynamical systems

Sierra, C. A., Ceballos-Núñez, V., Metzler, H., & Mueller, M. (2018). Representing and understanding the carbon cycle using the theory of compartmental dynamical systems. Journal of Advances in Modeling Earth Systems, 10(8), 1729-1734. doi:10.1029/2018MS001360.

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http://dx.doi.org/10.1029/2018MS001360 (Publisher version)
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 Creators:
Sierra, Carlos A.1, Author           
Ceballos-Núñez, Veronika2, 3, Author           
Metzler, Holger2, 3, Author           
Mueller, Markus1, Author           
Affiliations:
1Quantitative Ecosystem Ecology, Dr. C. Sierra, Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497777              
2Theoretical Ecosystem Ecology Group, Dr. Carlos Sierra, Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_2074326              
3IMPRS International Max Planck Research School for Global Biogeochemical Cycles, Max Planck Institute for Biogeochemistry, Max Planck Society, Hans-Knöll-Str. 10, 07745 Jena, DE, ou_1497757              

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 Abstract: Models representing exchange of carbon between the atmosphere and the terrestrial biosphere include a large variety of processes and mechanisms, and have increased in complexity in the last decades. These models are no exception of the simulation versus understanding conundrum previously articulated for models of the physical climate, which states that increasing detail in process representation in models, and the simulations they produce, hinders understanding of holistic system behavior. However, recent theoretical progress on the mathematical representation of the carbon cycle in ecosystems may help to provide a general framework for the qualitative understanding of models without compromising detail in process representation. Here we (1) briefly review recent ideas on the theory of transient dynamics of the terrestrial carbon cycle and its matrix representation, pointing out issues of interpretation, (2) show that these ideas can be further generalized in the mathematical concept of nonautonomous compartmental systems, and (3) provide thoughts on how this framework can be used to address a new set of questions in carbon cycle science.

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 Dates: 2018-05-292018-05-292018-08-10
 Publication Status: Issued
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 Identifiers: Other: BGC2964
DOI: 10.1029/2018MS001360
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Title: Journal of Advances in Modeling Earth Systems
  Other : JAMES
Source Genre: Journal
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Publ. Info: Washington, D.C. : American Geophysical Union
Pages: - Volume / Issue: 10 (8) Sequence Number: - Start / End Page: 1729 - 1734 Identifier: ISSN: 1942-2466
CoNE: https://pure.mpg.de/cone/journals/resource/19422466