The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A trait‐based approach for modelling microbial litter decomposition
Abstract
Trait‐based models are an emerging tool in ecology with the potential to link community dynamics, environmental responses and ecosystem processes. These models represent complex communities by defining taxa with trait combinations derived from prior distributions that may be constrained by trade‐offs. Herein I develop a model that links microbial community composition with physiological and enzymatic traits to predict litter decomposition rates. This approach allows for trade‐offs among traits that represent alternative microbial strategies for resource acquisition. The model predicts that optimal strategies depend on the level of enzyme production in the whole community, which determines resource availability and decomposition rates. There is also evidence for facilitation and competition among microbial taxa that co‐occur on decomposing litter. These interactions vary with community investment in extracellular enzyme production and the magnitude of trade‐offs affecting enzyme biochemical traits. The model accounted for 69% of the variation in decomposition rates of 15 Hawaiian litter types and up to 26% of the variation in enzyme activities. By explicitly representing diversity, trait‐based models can predict ecosystem processes based on functional trait distributions in a community. The model developed herein illustrates that traits influencing microbial enzyme production are some of the key controls on litter decomposition rates.
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Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison
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C:N:P stoichiometry in soil: is there a “Redfield ratio” for the microbial biomass?
Cleveland, C. C., & Liptzin, D. (2007) · Biogeochemistry · doi:10.1007/s10533-007-9132-0 · Cited by 2,365
PLANT DIVERSITY, SOIL MICROBIAL COMMUNITIES, AND ECOSYSTEM FUNCTION: ARE THERE ANY LINKS?
Zak, D. R., Holmes, W. E., White, D. C., Peacock, A. D., & Tilman, D. (2003) · Ecology · doi:10.1890/02-0433 · Cited by 1,257
Functional metagenomic profiling of nine biomes
Dinsdale, E. A., Edwards, R. A., Hall, D., Angly, F., Breitbart, M., Brulc, J. M., Furlan, M., Desnues, C., Haynes, M., Li, L., et al. (2008) · Nature · doi:10.1038/nature06810 · Cited by 980
Plant diversity enhances ecosystem responses to elevated CO2 and nitrogen deposition
Reich, P. B., Knops, J., Tilman, D., Craine, J., Ellsworth, D., Tjoelker, M., Lee, T., Wedin, D., Naeem, S., Bahauddin, D., et al. (2001) · Nature · doi:10.1038/35071062 · Cited by 609
BRENDA, the enzyme information system in 2011
Scheer, M., Grote, A., Chang, A., Schomburg, I., Munaretto, C., Rother, M., Sohngen, C., Stelzer, M., Thiele, J., & Schomburg, D. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq1089 · Cited by 409
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Life and death in the soil microbiome: how ecological processes influence biogeochemistry
Sokol, N. W., Slessarev, E., Marschmann, G. L., Nicolas, A., Blazewicz, S. J., Brodie, E. L., Firestone, M. K., Foley, M. M., Hestrin, R., Hungate, B. A., et al. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00695-z · Cited by 1,179
Modeling Soil Processes: Review, Key Challenges, and New Perspectives
Vereecken, H., Schnepf, A., Hopmans, J. W., Javaux, M., Or, D., Roose, T., Vanderborght, J., Young, M. H., Amelung, W., Aitkenhead, M., et al. (2016) · Vadose Zone Journal · doi:10.2136/vzj2015.09.0131 · Cited by 833
Self-citationUnderstanding the dominant controls on litter decomposition
Bradford, M. A., Berg, B., Maynard, D. S., Wieder, W. R., & Wood, S. A. (2016) · Journal of Ecology · doi:10.1111/1365-2745.12507 · Cited by 669
Fungal traits that drive ecosystem dynamics on land
Treseder, K. K., & Lennon, J. T. (2015) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.00001-15 · Cited by 625
Trivedi, P., Anderson, I. C., & Singh, B. K. (2013) · Trends in Microbiology · doi:10.1016/j.tim.2013.09.005 · Cited by 584
Metadata
- Authors
- Allison, S. D.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2012-05-30
- Volume
- 15
- Issue
- 9
- Pages
- 1058-1070
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2149497576
- Cited by
- 366
- References
- 7
- FWCI
- 37.06
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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