A theoretical model of C- and N-acquiring exoenzyme activities, which balances microbial demands during decomposition
By D. Moorhead, G. Lashermes, R. Sinsabaugh. 2012
190 citations recorded by the source corpus.
Subfields: Ecology, Environmental Chemistry, Pollution
View Paper: https://www.semanticscholar.org/paper/b07ecd28031c0dbfc192cb5dd38f7ca31774e46c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- R. Sinsabaugh
- D. Moorhead
- J. F. Follstad Shah
- E. Kyker-Snowman
- Serita Frey
- M. Weintraub
- M. Wallenstein
- B. Waring
In Environmental Chemistry
- R. Sinsabaugh
- J. F. Follstad Shah
- D. Moorhead
- E. Kyker-Snowman
- Serita Frey
- Andreas Richter
- J. Belnap
- B. Hill
In Pollution
- J. F. Follstad Shah
- Serita Frey
- E. Kyker-Snowman
- R. Sinsabaugh
- Colin W. Bell
- Andreas Richter
- M. Wallenstein
- D. Moorhead
Citations in the corpus
- Stoichiometry of microbial carbon use efficiency in soils (2016, background): “Conceptu-ally, CUE is maximal when the unit costs of obtaining C and N are minimal (Moorhead et al. 2012).”
- Ecoenzymatic Stoichiometry and Ecological Theory (2012, methodology): “Modeling studies suggest that production of extracellular enzymes has first priority on cell metabolism above the level of maintenance respiration (Schimel & Weintraub 2003, Moorhead & Sinsabaugh 2006, Moorhead et al. 2012, Wang et al. 2012a).”
- Extracellular enzyme kinetics scale with resource availability (2014, background): “…and material cost for individual cells, and the microbial community as a whole, but the aggregate costs and optimal allocation of enzymatic capacity in relation to the multiple resources required for the growth of microbial communities have not been assessed (Allison 2005; Moorhead et al. 2012).”
- Stoichiometry constrains microbial response to root exudation- insights from a model and a field experiment in a temperate forest (2012, background): “…consequences of microbial acclimation to warming (Allison et al., 2010), simulate laboratory isotopic tracer experiments (Blagodatsky et al., 2010), and incorporate additional complexity such as multiple exoenzyme pools (Moorhead et al., 2012) and N-trace gas emissions (Blagodatsky et al., 2011).”
- Microbial carbon use efficiency: accounting for population, community, and ecosystem-scale controls over the fate of metabolized organic matter (2016, methodology): “Other recent models include efficiency parameters that conceptually match CUEC but depict additional microbial processes like substrate recycling and dormancy not generally captured in CUEC measurements [microbial-enzyme-mediated decomposition model, MEND (Wang et al. 2013); Extracellular EnZYme mod”
- Stoichiometric imbalances between terrestrial decomposer communities and their resources: mechanisms and implications of microbial adaptations to their resources (2014, background): “In turn, microbes use these substrates to fuel biomass production and EE synthesis (Moorhead et al., 2012).”
- Carbon use efficiency of microbial communities: stoichiometry, methodology and modelling. (2013, methodology): “Schimel & Weintraub (2003) and Moorhead et al. (2012) explicitly allocate (1) Rm, (2) Rg for both biomass and enzymes, separately, and (3) ‘overflow metabolism’ (Ro), which represents excess carbon released from litter under N-limitation.”
- Extracellular enzymes in terrestrial, freshwater, and marine environments: perspectives on system variability and common research needs (2013, methodology): “To date, enzyme production in models is largely considered to be constitutive and enzymes are considered to have more rapid turnover than the microorganisms that produce them (e.g., Schimel and Weintraub 2003; Allison 2005; Moorhead et al. 2012).”