A parsimonious modular approach to building a mechanistic belowground carbon and nitrogen model
Abstract
Abstract Soil decomposition models range from simple empirical functions to those that represent physical, chemical, and biological processes. Here we develop a parsimonious, modular C and N cycle model, the Dual Arrhenius Michaelis‐Menten‐Microbial Carbon and Nitrogen Phyisology (DAMM‐MCNiP), that generates testable hypotheses regarding the effect of temperature, moisture, and substrate supply on C and N cycling. We compared this model to DAMM alone and an empirical model of heterotrophic respiration based on Harvard Forest data. We show that while different model structures explain similar amounts of variation in respiration, they differ in their ability to infer processes that affect C flux. We applied DAMM‐MCNiP to explain an observed seasonal hysteresis in the relationship between respiration and temperature and show using an exudation simulation that the strength of the priming effect depended on the stoichiometry of the inputs. Low C:N inputs stimulated priming of soil organic matter decomposition, but high C:N inputs were preferentially utilized by microbes as a C source with limited priming. The simplicity of DAMM‐MCNiP's simultaneous representations of temperature, moisture, substrate supply, enzyme activity, and microbial growth processes is unique among microbial physiology models and is sufficiently parsimonious that it could be incorporated into larger‐scale models of Cmore »
- Authors:
-
[1];
[2];
[3]
- Department of Biology and PhD Program in Biogeoscience Boston University Boston Massachusetts USA, Climate Sciences Department, Climate and Ecosystem Sciences Division Lawrence Berkeley National Laboratory Berkeley California USA
- Appalachian Laboratory University of Maryland Center for Environmental Sciences Frostburg Maryland USA
- Department of Biology and PhD Program in Biogeoscience Boston University Boston Massachusetts USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1393732
- Grant/Contract Number:
- DE‐SC0006916; DE‐SC0012288; DE‐AC02‐05CH11231
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research. Biogeosciences
- Additional Journal Information:
- Journal Name: Journal of Geophysical Research. Biogeosciences Journal Volume: 122 Journal Issue: 9; Journal ID: ISSN 2169-8953
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Abramoff, Rose Z., Davidson, Eric A., and Finzi, Adrien C. A parsimonious modular approach to building a mechanistic belowground carbon and nitrogen model. United States: N. p., 2017.
Web. doi:10.1002/2017JG003796.
Abramoff, Rose Z., Davidson, Eric A., & Finzi, Adrien C. A parsimonious modular approach to building a mechanistic belowground carbon and nitrogen model. United States. https://doi.org/10.1002/2017JG003796
Abramoff, Rose Z., Davidson, Eric A., and Finzi, Adrien C. Thu .
"A parsimonious modular approach to building a mechanistic belowground carbon and nitrogen model". United States. https://doi.org/10.1002/2017JG003796.
@article{osti_1393732,
title = {A parsimonious modular approach to building a mechanistic belowground carbon and nitrogen model},
author = {Abramoff, Rose Z. and Davidson, Eric A. and Finzi, Adrien C.},
abstractNote = {Abstract Soil decomposition models range from simple empirical functions to those that represent physical, chemical, and biological processes. Here we develop a parsimonious, modular C and N cycle model, the Dual Arrhenius Michaelis‐Menten‐Microbial Carbon and Nitrogen Phyisology (DAMM‐MCNiP), that generates testable hypotheses regarding the effect of temperature, moisture, and substrate supply on C and N cycling. We compared this model to DAMM alone and an empirical model of heterotrophic respiration based on Harvard Forest data. We show that while different model structures explain similar amounts of variation in respiration, they differ in their ability to infer processes that affect C flux. We applied DAMM‐MCNiP to explain an observed seasonal hysteresis in the relationship between respiration and temperature and show using an exudation simulation that the strength of the priming effect depended on the stoichiometry of the inputs. Low C:N inputs stimulated priming of soil organic matter decomposition, but high C:N inputs were preferentially utilized by microbes as a C source with limited priming. The simplicity of DAMM‐MCNiP's simultaneous representations of temperature, moisture, substrate supply, enzyme activity, and microbial growth processes is unique among microbial physiology models and is sufficiently parsimonious that it could be incorporated into larger‐scale models of C and N cycling.},
doi = {10.1002/2017JG003796},
journal = {Journal of Geophysical Research. Biogeosciences},
number = 9,
volume = 122,
place = {United States},
year = {Thu Sep 21 00:00:00 EDT 2017},
month = {Thu Sep 21 00:00:00 EDT 2017}
}
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