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Inferring nitrogen deposition from plant community composition

Payne, Richard J.; Caporn, Simon J. M.; Stevens, Carly J.; Carroll, Jacky A.; Edmondson, Jill L.; Gowing, David J. and Dise, Nancy B. (2013). Inferring nitrogen deposition from plant community composition. Ecological Indicators, 26 pp. 1–4.

DOI (Digital Object Identifier) Link: https://doi.org/10.1016/j.ecolind.2012.10.013
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Abstract

Chronically elevated reactive nitrogen deposition has a severe impact on many ecosystems, and there is widespread interest in the possibility of using plant community composition to estimate the level of nitrogen deposition and consequent impacts. Existing approaches use a variety of simple measures including functional type ratios, Ellenberg numbers, and diversity indices. We propose an alternative approach in which species–environment models are constructed using national datasets designed to capture broad-scale deposition patterns. We construct models using partial least squares, weighted average, and maximum likelihood Gaussian logit regression for two British semi-natural habitats, and test how well they predict N deposition by cross-validation. We find that performance is good with R2 values up to 0.7, and suggest that such models could be a useful addition to the bioindication toolbox.

Item Type: Journal Item
Copyright Holders: 2012 Elsevier Ltd.
ISSN: 1470-160X
Keywords: nitrogen; bioindication; pollution; Ellenberg indices; transfer functions; biodiversity
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: OpenSpace Research Centre (OSRC)
Item ID: 35982
Depositing User: David Gowing
Date Deposited: 09 Jan 2013 12:26
Last Modified: 07 Dec 2018 10:12
URI: http://oro.open.ac.uk/id/eprint/35982
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