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Advances in N-15-tracing experiments: new labelling and data analysis approaches

Rutting, T; Huygens, D; Staelens, J; Muller, C and Boeckx, P (2011) In Biochemical Society Transactions 39. p.279-283
Abstract
To obtain an in-depth understanding of soil nitrogen dynamics, it is necessary to quantify a variety of simultaneously occurring gross nitrogen transformation processes. In order to do so, most studies apply N-15 in a disturbed soil-microbial-root system and quantify gross rates based on the principles of N-15 isotope dilution. However, this approach has several shortcomings. First, studying disturbed soil provides only limited information on in situ soil nitrogen dynamics. Secondly, the analytical data analysis allows the quantification of total production and consumption rates of the labelled pool, but does not provide information on process-specific transformation rates. Combining in situ N-15 isotope labelling over 1-2 weeks with... (More)
To obtain an in-depth understanding of soil nitrogen dynamics, it is necessary to quantify a variety of simultaneously occurring gross nitrogen transformation processes. In order to do so, most studies apply N-15 in a disturbed soil-microbial-root system and quantify gross rates based on the principles of N-15 isotope dilution. However, this approach has several shortcomings. First, studying disturbed soil provides only limited information on in situ soil nitrogen dynamics. Secondly, the analytical data analysis allows the quantification of total production and consumption rates of the labelled pool, but does not provide information on process-specific transformation rates. Combining in situ N-15 isotope labelling over 1-2 weeks with numerical data analysis allows determining process-specific gross nitrogen transformations in undisturbed soils under field conditions in the presence of live roots and their associated microbial communities. This has the potential to increase our understanding of nitrogen dynamics in the soil environment. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
N-15 labelling, N-15 tracing, nitrogen transformation, soil nitrogen cycle
in
Biochemical Society Transactions
volume
39
pages
279 - 283
publisher
Biochemical Society
external identifiers
  • scopus:79551470624
ISSN
0300-5127
DOI
10.1042/BST0390279
project
BECC
language
English
LU publication?
no
id
e8649652-183d-4eed-96b5-7ac180a08ee4 (old id 4448696)
date added to LUP
2014-05-23 12:11:26
date last changed
2017-01-01 03:10:37
@article{e8649652-183d-4eed-96b5-7ac180a08ee4,
  abstract     = {To obtain an in-depth understanding of soil nitrogen dynamics, it is necessary to quantify a variety of simultaneously occurring gross nitrogen transformation processes. In order to do so, most studies apply N-15 in a disturbed soil-microbial-root system and quantify gross rates based on the principles of N-15 isotope dilution. However, this approach has several shortcomings. First, studying disturbed soil provides only limited information on in situ soil nitrogen dynamics. Secondly, the analytical data analysis allows the quantification of total production and consumption rates of the labelled pool, but does not provide information on process-specific transformation rates. Combining in situ N-15 isotope labelling over 1-2 weeks with numerical data analysis allows determining process-specific gross nitrogen transformations in undisturbed soils under field conditions in the presence of live roots and their associated microbial communities. This has the potential to increase our understanding of nitrogen dynamics in the soil environment.},
  author       = {Rutting, T and Huygens, D and Staelens, J and Muller, C and Boeckx, P},
  issn         = {0300-5127},
  keyword      = {N-15 labelling,N-15 tracing,nitrogen transformation,soil nitrogen cycle},
  language     = {eng},
  pages        = {279--283},
  publisher    = {Biochemical Society},
  series       = {Biochemical Society Transactions},
  title        = {Advances in N-15-tracing experiments: new labelling and data analysis approaches},
  url          = {http://dx.doi.org/10.1042/BST0390279},
  volume       = {39},
  year         = {2011},
}