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Carbon use efficiency of microbial communities: stoichiometry, methodology and modelling

期刊

ECOLOGY LETTERS
卷 16, 期 7, 页码 930-939

出版社

WILEY
DOI: 10.1111/ele.12113

关键词

Carbon use efficiency; ecoenzymatic activity; ecological stoichiometry; microbial production; nutrient limitation; threshold element ratio

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资金

  1. Agriculture and Food Research Initiative from USDA National Institute of Food and Agriculture [2011-67003-30222]
  2. National Science Foundation [DEB-1145875 / 1145649]
  3. NSF Ecosystem Sciences programme [DEB-0918718]
  4. Austrian Science Fund [FWF- I 370-B17]
  5. NIFA [579719, 2011-67003-30222] Funding Source: Federal RePORTER
  6. Direct For Biological Sciences
  7. Division Of Environmental Biology [1232294] Funding Source: National Science Foundation
  8. Division Of Environmental Biology
  9. Direct For Biological Sciences [0918718, 1145649] Funding Source: National Science Foundation
  10. Office Of The Director
  11. Office of Integrative Activities [0963345] Funding Source: National Science Foundation
  12. Austrian Science Fund (FWF) [I 370] Funding Source: researchfish

向作者/读者索取更多资源

Carbon use efficiency (CUE) is a fundamental parameter for ecological models based on the physiology of microorganisms. CUE determines energy and material flows to higher trophic levels, conversion of plant-produced carbon into microbial products and rates of ecosystem carbon storage. Thermodynamic calculations support a maximum CUE value of similar to 0.60 (CUE max). Kinetic and stoichiometric constraints on microbial growth suggest that CUE in multi-resource limited natural systems should approach similar to 0.3 (CUE max/2). However, the mean CUE values reported for aquatic and terrestrial ecosystems differ by twofold (similar to 0.26 vs. similar to 0.55) because the methods used to estimate CUE in aquatic and terrestrial systems generally differ and soil estimates are less likely to capture the full maintenance costs of community metabolism given the difficulty of measurements in water-limited environments. Moreover, many simulation models lack adequate representation of energy spilling pathways and stoichiometric constraints on metabolism, which can also lead to overestimates of CUE. We recommend that broad-scale models use a CUE value of 0.30, unless there is evidence for lower values as a result of pervasive nutrient limitations. Ecosystem models operating at finer scales should consider resource composition, stoichiometric constraints and biomass composition, as well as environmental drivers, to predict the CUE of microbial communities.

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