The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Dynamic relationships between microbial biomass, respiration, inorganic nutrients and enzyme activities: informing enzyme-based decomposition models
Open accessAbstract
We re-examined data from a recent litter decay study to determine if additional insights could be gained to inform decomposition modeling. Rinkes et al. (2013) conducted 14-day laboratory incubations of sugar maple (Acer saccharum) or white oak (Quercus alba) leaves, mixed with sand (0.4% organic C content) or loam (4.1% organic C). They measured microbial biomass C, carbon dioxide efflux, soil ammonium, nitrate, and phosphate concentrations, and β-glucosidase (BG), β-N-acetyl-glucosaminidase (NAG), and acid phosphatase (AP) activities on days 1, 3, and 14. Analyses of relationships among variables yielded different insights than original analyses of individual variables. For example, although respiration rates per g soil were higher for loam than sand, rates per g soil C were actually higher for sand than loam, and rates per g microbial C showed little difference between treatments. Microbial biomass C peaked on day 3 when biomass-specific activities of enzymes were lowest, suggesting uptake of litter C without extracellular hydrolysis. This result refuted a common model assumption that all enzyme production is constitutive and thus proportional to biomass, and/or indicated that part of litter decay is independent of enzyme activity. The length and angle of vectors defined by ratios of enzyme activities (BG/NAG vs. BG/AP) represent relative microbial investments in C (length), and N and P (angle) acquiring enzymes. Shorter lengths on day 3 suggested low C limitation, whereas greater lengths on day 14 suggested an increase in C limitation with decay. The soils and litter in this study generally had stronger P limitation (angles >45°). Reductions in vector angles to <45° for sand by day 14 suggested a shift to N limitation. These relational variables inform enzyme-based models, and are usually much less ambiguous when obtained from a single study in which measurements were made on the same samples than when extrapolated from separate studies.
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Self-citationSoil enzymes in a changing environment: Current knowledge and future directions
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Cited by
Vector analysis of ecoenzyme activities reveal constraints on coupled C, N and P dynamics
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Self-citationMicrobial extracellular enzymes in biogeochemical cycling of ecosystems
Luo, L., Meng, H., & Gu, J.-D. (2017) · Journal of Environmental Management · doi:10.1016/j.jenvman.2017.04.023 · Cited by 359
Cui, Y., Fang, L., Guo, X., Han, F., Ju, W., Ye, L., Wang, X., Tan, W., & Zhang, X. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.08.173 · Cited by 282
Microbial crop residue decomposition dynamics in organic and conventionally managed soils
Arcand, M. M., Helgason, B. L., & Lemke, R. L. (2016) · Applied Soil Ecology · doi:10.1016/j.apsoil.2016.07.001 · Cited by 97
Ludwig, S. M., Alexander, H. D., Kielland, K., Mann, P. J., Natali, S. M., & Ruess, R. W. (2018) · Global Change Biology · doi:10.1111/gcb.14455 · Cited by 90
Metadata
- Authors
- Moorhead, D. L., Rinkes, Z. L., Sinsabaugh, R. L., & Weintraub, M. N.
- Venue
- Frontiers in Microbiology
- Publisher
- Frontiers Media SA
- Published
- 2013
- Volume
- 4
- Pages
- 223-223
- ISSN
- 1664-302X (ISSN-L)
- OpenAlex
- W2153307079
- Cited by
- 455
- References
- 45
- FWCI
- 8.02
- Type
- journal article
- Language
- en
- Open access
- gold
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- Moorhead, D. L., Rinkes, Z. L., Sinsabaugh, R. L., & Weintraub, M. N. (2013). Dynamic relationships between microbial biomass, respiration, inorganic nutrients and enzyme activities: informing enzyme-based decomposition models. Frontiers in Microbiology. https://doi.org/10.3389/fmicb.2013.00223
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