nerc.ac.uk

Using metabolic fingerprinting of plants for evaluating nitrogen deposition impacts on the landscape level

Gidman, Eleanor A.; Stevens, Carly J.; Goodacre, Royston; Broadhurst, David; Emmett, Bridget ORCID: https://orcid.org/0000-0002-2713-4389; Gwynn-Jones, Dylan. 2006 Using metabolic fingerprinting of plants for evaluating nitrogen deposition impacts on the landscape level. Global Change Biology, 12 (8). 1460-1465. 10.1111/j.1365-2486.2006.01190.x

Full text not available from this repository.

Abstract/Summary

Nitrogen emissions and atmospheric deposition are globally significant with the potential to alter ecosystem nutrient balance, provoking changes in vegetation composition. Shifts in plant biochemistry are good indicators of nitrogen pollution and have been used to monitor vegetation health. Fourier transform-infrared (FT-IR) spectroscopy has previously been shown to be a rapid and relatively inexpensive method for evaluating leaf biochemistry. In the present study, FT-IR spectra were collected from Galium saxatile samples taken from sites across the United Kingdom. Spectral changes in the tissue samples were correlated with a gradient of N deposition using partial least squares regression analysis. We show that FT-IR analysis of G. saxatile leaf tissue is an effective way to evaluate nitrogen deposition across the entire UK landscape.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1111/j.1365-2486.2006.01190.x
Programmes: CEH Programmes pre-2009 publications > Biogeochemistry
UKCEH and CEH Sections/Science Areas: _ Biogeochemistry & Ecosystem Function
ISSN: 1354-1013
Format Availability: Electronic, Print
Additional Keywords: ecosystem health, FT-IR, metabolomics, nitrogen deposition, partial least-squares regression analysis, plant biochemistry
NORA Subject Terms: Botany
Ecology and Environment
Atmospheric Sciences
Date made live: 02 Jul 2007 15:50 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/339

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...