Unknown

Dataset Information

0

Microbial community dynamics alleviate stoichiometric constraints during litter decay.


ABSTRACT: Under the current paradigm, organic matter decomposition and nutrient cycling rates are a function of the imbalance between substrate and microbial biomass stoichiometry. Challenging this view, we demonstrate that in an individual-based model, microbial community dynamics alter relative C and N limitation during litter decomposition, leading to a system behaviour not predictable from stoichiometric theory alone. Rather, the dynamics of interacting functional groups lead to an adaptation at the community level, which accelerates nitrogen recycling in litter with high initial C : N ratios and thus alleviates microbial N limitation. This mechanism allows microbial decomposers to overcome large imbalances between resource and biomass stoichiometry without the need to decrease carbon use efficiency (CUE), which is in contrast to predictions of traditional stoichiometric mass balance equations. We conclude that identifying and implementing microbial community-driven mechanisms in biogeochemical models are necessary for accurately predicting terrestrial C fluxes in response to changing environmental conditions.

SUBMITTER: Kaiser C 

PROVIDER: S-EPMC4315898 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Microbial community dynamics alleviate stoichiometric constraints during litter decay.

Kaiser Christina C   Franklin Oskar O   Dieckmann Ulf U   Richter Andreas A  

Ecology letters 20140317 6


Under the current paradigm, organic matter decomposition and nutrient cycling rates are a function of the imbalance between substrate and microbial biomass stoichiometry. Challenging this view, we demonstrate that in an individual-based model, microbial community dynamics alter relative C and N limitation during litter decomposition, leading to a system behaviour not predictable from stoichiometric theory alone. Rather, the dynamics of interacting functional groups lead to an adaptation at the c  ...[more]

Similar Datasets

| S-EPMC9076648 | biostudies-literature
| S-EPMC6318262 | biostudies-literature
2012-03-13 | GSE27959 | GEO
2024-02-14 | MTBLS1885 | MetaboLights
2012-03-13 | E-GEOD-27959 | biostudies-arrayexpress
| S-EPMC6470161 | biostudies-literature
| S-EPMC9241821 | biostudies-literature
| S-EPMC5624877 | biostudies-literature
| S-EPMC7614052 | biostudies-literature
| S-EPMC8778262 | biostudies-literature