Microbial dormancy improves development and experimental validation of ecosystem model

Wang, Gangsheng; Jagadamma, Sindhu; Mayes, Melanie; Schadt, Christopher Warren; Steinweg, Jessica M.; Gu, Lianhong; Post, Wilfred M.

doi:10.1038/ismej.2014.120

Microbial dormancy improves development and experimental validation of ecosystem model

Journal Article · Fri Jul 11 00:00:00 EDT 2014 · The ISME Journal

DOI:https://doi.org/10.1038/ismej.2014.120· OSTI ID:1185449

Wang, Gangsheng ^[1]; Jagadamma, Sindhu ^[1]; Mayes, Melanie ^[1]; Schadt, Christopher Warren ^[1]; Steinweg, Jessica M. ^[1]; Gu, Lianhong ^[1]; Post, Wilfred M. ^[1]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Climate feedbacks from soils can result from environmental change followed by response of plant and microbial communities, and/or associated changes in nutrient cycling. Explicit consideration of microbial life history traits and functions may be necessary to predict climate feedbacks due to changes in the physiology and community composition of microbes and their associated effect on carbon cycling. Here, we enhanced the Microbial-Enzyme-mediated Decomposition (MEND) model by incorporating microbial dormancy and the ability to track multiple isotopes of carbon. We tested two versions of MEND, i.e., MEND with dormancy and MEND without dormancy, against long-term (270 d) lab incubations of four soils with isotopically-labeled substrates. MEND without dormancy adequately fitted multiple observations (total and 14C respiration, and dissolved organic carbon), but at the cost of significantly underestimating the total microbial biomass. The MEND with dormancy improved estimates of microbial biomass by 20 71% over the MEND without dormancy. We observed large differences for two fitted model parameters, the specific maintenance and growth rates for active microbes, depending on whether dormancy was considered. Together our model extrapolations of the incubation study show that long-term soil incubations with observations in multiple carbon pools are necessary to estimate both decomposition and microbial parameters. These efforts should provide essential support to future field- and global-scale simulations and enable more confident predictions of feedbacks between environmental change and carbon cycling.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1185449

Journal Information:: The ISME Journal, Journal Name: The ISME Journal Journal Issue: 1 Vol. 9; ISSN 1751-7362

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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Evaluating the E3SM land model version 0 (ELMv0) at a temperate forest site using flux and soil water measurements Liang, Junyi; Wang, Gangsheng; Ricciuto, Daniel M. Geoscientific Model Development, Vol. 12, Issue 4 https://doi.org/10.5194/gmd-12-1601-2019	journal	January 2019
Microscale insight into microbial seed banks Locey, Kenneth J.; Fisk, Melany C.; Lennon, JAy T. Peer J https://doi.org/10.7287/peerj.preprints.2321	posted_content	July 2016

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