Measurement at the field scale of soil δ 13 C and δ 15 N under improved grassland

Autor: N. de la Fuente Martinez, Antonio Casero Martínez, Philip J. Murray, Martin S. A. Blackwell, D. Junquera, Elizabeth Dixon, Wolfram Meier-Augenstein, A. Duffy, Roland Bol, Helen F. Kemp, Z. Berryman, M. S. Dhanoa
Rok vydání: 2010
Předmět:
Zdroj: Rapid Communications in Mass Spectrometry. 24:511-518
ISSN: 0951-4198
DOI: 10.1002/rcm.4345
Popis: Variations in natural abundance of carbon (C) and nitrogen (N) stable isotopes are widely used as tools for many aspects of scientific research. By examining variations in the ratios of heavy to light stable isotopes, information can be obtained as to what physical, chemical and biological processes may be occurring. The spatial heterogeneity of soil delta(15)N- and delta(13)C-values across a range of scales and under different land use have been described by a number of researchers and the natural abundances of the C and N stable isotopes in soils have been found to be correlated with many factors including hydrology, topography, land use, vegetation cover and climate. In this study the Latin square sampling +1 (LSS+1) sampling method was compared with a simple grid sampling approach for delta(13)C and delta(15)N measurement at the field scale. A set of 144 samples was collected and analysed for delta(15)N and delta(13)C from a 12 x 12 grid (in a 1 ha improved grassland field in south-west England). The dimension of each cell of the grid was approximately 11 x 6 m. The 12 x 12 grid was divided into four 6 x 6 grids and the LSS+1 sampling technique was applied to these and the main 12 x 12 grid for a comparison of sample means and variation. The LSS+1 means from the 12 x 12 grid and the four 6 x 6 grids compared well with the overall grid mean because of the low variation within the field. The LSS+1 strategy (13 samples) generated representative samples from the 12 x 12 grid, and hence would be an acceptable method for sampling similar plots for the measurement of mean isotopic composition.
Databáze: OpenAIRE
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