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  Adaptation of microbial resource allocation affects modelled long term soil organic matter and nutrient cycling

Wutzler, T., Zaehle, S., Schrumpf, M., Ahrens, B., & Reichstein, M. (2017). Adaptation of microbial resource allocation affects modelled long term soil organic matter and nutrient cycling. Soil Biology and Biochemistry, 115, 322-336. doi:10.1016/j.soilbio.2017.08.031.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-FB1F-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-DC6F-D
Genre: Journal Article

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 Creators:
Wutzler, Thomas1, 2, Author              
Zaehle, Sönke3, 4, Author              
Schrumpf, Marion1, 2, Author              
Ahrens, Bernhard1, Author              
Reichstein, Markus5, Author              
Affiliations:
1Soil Processes, Dr. Marion Schrumpf, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938308              
2Soil and Ecosystem Processes, Dr. M. Schrumpf, Department Biogeochemical Processes, Prof. S. E. Trumbore, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497776              
3Terrestrial Biosphere Modelling, Dr. Sönke Zähle, Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938309              
4Terrestrial Biosphere Modelling, Dr. Sönke Zähle, Department Biogeochemical Integration, Prof. Dr. Martin Heimann, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1497787              
5Department Biogeochemical Integration, Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1688139              

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 Abstract: In order to understand the coupling of carbon (C) and nitrogen (N) cycles, it is necessary to understand C and N-use efficiencies of microbial soil organic matter (SOM) decomposition. While important controls of those efficiencies by microbial community adaptations have been shown at the scale of a soil pore, an abstract simplified representation of community adaptations is needed at ecosystem scale. Therefore we developed the soil enzyme allocation model (SEAM), which takes a holistic, partly optimality based approach to describe C and N dynamics at the spatial scale of an ecosystem and time-scales of years and longer. We explicitly modelled community adaptation strategies of resource allocation to extracellular enzymes and enzyme limitations on SOM decomposition. Using SEAM, we explored whether alternative strategy-hypotheses can have strong effects on SOM and inorganic N cycling. Results from prototypical simulations and a calibration to observations of an intensive pasture site showed that the so-called revenue enzyme allocation strategy was most viable. This strategy accounts for microbial adaptations to both, stoichiometry and amount of different SOM resources, and supported the largest microbial biomass under a wide range of conditions. Predictions of the holistic SEAM model were qualitatively similar to precitions of the SYMPHONY model, which explicitly represents competing microbial guilds. With adaptive enzyme allocation under conditions of high C/N ratio of litter inputs, N that was formerly locked in slowly degrading SOM pools was made accessible, whereas with high N inputs, N was sequestered in SOM and protected from leaching. The findings imply that it is important for ecosystem scale models to account for adaptation of C and N use efficiencies in order to represent C-N couplings. The combination of stoichiometry and optimality principles is a promising route to yield simple formulations of such adaptations at community level suitable for incorporation into land surface models.

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 Dates: 2017-08-282017-092017-12
 Publication Status: Published in print
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 Identifiers: Other: BGC2702
DOI: 10.1016/j.soilbio.2017.08.031
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Title: Soil Biology and Biochemistry
  Other : Soil Biol. Biochem.
Source Genre: Journal
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Publ. Info: Amsterdam [u.a.] : Elsevier
Pages: - Volume / Issue: 115 Sequence Number: - Start / End Page: 322 - 336 Identifier: ISSN: 0038-0717
CoNE: /journals/resource/954925445690