Combined use of empirical data and mathematical modelling to better estimate the microbial turnover of isotopically labelled carbon substrates in soil
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- 作者：H.C. Glanvillea ; h.c.glanville@bangor.ac.uk" class="auth_mail" title="E-mail the corresponding author ; P.W. Hilla ; A. Schnepfc ; E. Oburgerb ; D.L. Jonesa
- 关键词：Amino acids ; Decomposition ; Dissolved organic carbon (DOC) ; Soil organic matter (SOM) ; Sugar
- 刊名：Soil Biology & Biochemistry
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：94
- 期：Complete
- 页码：154-168
- 全文大小：1954 K
文摘
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Traditional first-order kinetic models underestimate substrate turnover.
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Choice of models should match experiment duration to avoid either under- or over-fitting of the data.
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Chloroform-fumigation extraction is a poor technique for assessing the amount of isotope contained in the microbial biomass.
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A new integrated model provides a more realistic estimate of microbial substrate turnover.