The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Decomposition responses to climate depend on microbial community composition
Open accessAbstract
Significance: We overcame the difficulty of disentangling biotic and abiotic effects on decomposition by using the largest field-based reciprocal transplant experiment to date. We showed that decomposition responses to climate depend on the composition of microbial communities, which is not considered in terrestrial carbon models. Microbial communities varied in their effects on both mass loss and types of carbon decomposed in an interactive manner not predicted by current theory. Contrary to the traditional paradigm, bacterial communities appeared to have a stronger impact on grassland litter decomposition rates than fungi. Furthermore, bacterial communities shifted more rapidly in response to changing climates than fungi. This information is critical to improving global terrestrial carbon models and predicting ecosystem responses to climate change.
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Cites
vegan: Community Ecology Package
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UPARSE: highly accurate OTU sequences from microbial amplicon reads
Edgar, R. C. (2013) · Nature Methods · doi:10.1038/nmeth.2604 · Cited by 16,707
Model Projections of an Imminent Transition to a More Arid Climate in Southwestern North America
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Rapid shifts in plant distribution with recent climate change
Kelly, A. E., & Goulden, M. L. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0802891105 · Cited by 1,284
Gholz, H. L., Wedin, D. A., Smitherman, S. M., Harmon, M. E., & Parton, W. J. (2000) · Global Change Biology · doi:10.1046/j.1365-2486.2000.00349.x · Cited by 952
The contribution of species richness and composition to bacterial services
Bell, T., Newman, J. A., Silverman, B. W., Turner, S. L., & Lilley, A. K. (2005) · Nature · doi:10.1038/nature03891 · Cited by 950
Consequences of biodiversity loss for litter decomposition across biomes
Handa, I. T., Aerts, R., Berendse, F., Berg, M. P., Bruder, A., Butenschoen, O., Chauvet, E., Gessner, M. O., Jabiol, J., Makkonen, M., et al. (2014) · Nature · doi:10.1038/nature13247 · Cited by 828
Plant litter decomposition in a semi-arid ecosystem controlled by photodegradation
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Testing the functional significance of microbial community composition
Strickland, M. S., Lauber, C., Fierer, N., & Bradford, M. A. (2009) · Ecology · doi:10.1890/08-0296.1 · Cited by 765
Sundqvist, M. K., Sanders, N. J., & Wardle, D. A. (2013) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev-ecolsys-110512-135750 · Cited by 712
Cited by
Pugnaire, F. I., Morillo, J. A., Peñuelas, J., Reich, P. B., Bardgett, R. D., Gaxiola, A., Wardle, D. A., & van der Putten, W. H. (2019) · Science Advances · doi:10.1126/sciadv.aaz1834 · Cited by 513
The biogeography of relative abundance of soil fungi versus bacteria in surface topsoil
Yu, K., van den Hoogen, J., Wang, Z., Averill, C., Routh, D., Smith, G. R., Drenovsky, R. E., Scow, K. M., Mo, F., Waldrop, M. P., et al. (2022) · Earth System Science Data · doi:10.5194/essd-14-4339-2022 · Cited by 86
Metadata
- Authors
- Glassman, S. I., Weihe, C., Li, J., Albright, M. B. N., Looby, C. I., Martiny, A. C., Treseder, K. K., Allison, S. D., & Martiny, J. B. H.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2018-11-05
- Volume
- 115
- Issue
- 47
- Pages
- 11994-11999
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2899898927
- Cited by
- 365
- References
- 48
- FWCI
- 24.80
- Type
- journal article
- Language
- en
- Open access
- green
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- Glassman, S. I., Weihe, C., Li, J., Albright, M. B. N., Looby, C. I., Martiny, A. C., Treseder, K. K., Allison, S. D., & Martiny, J. B. H. (2018). Decomposition responses to climate depend on microbial community composition. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1811269115
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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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.