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Application of nitrogen stable isotope analysis in size-based marine food web and macroecological research

Lookup NU author(s): Professor Simon Jennings, Dr Christopher Sweeting, Professor Nick Polunin

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Abstract

Interacting human and environmental pressures influence the structure and dynamics of marine food webs. To describe and predict the effects of these pressures, theoretical advances need to be supported by a capacity to validate the underlying models and assumptions. Here, we review recent applications of nitrogen stable isotope analysis in marine food web and macroecological research, with a focus on work that has paralleled a resurgence of interest in the development and application of size-based models. Nitrogen stable isotope data have been used to estimate intra- and inter-specific variation in trophic level, predator-prey size ratios, transfer efficiency, food chain length, relationships between predator and prey species diversity and the dynamics of energy use. Many of these estimates have contributed to the development, testing and parameterisation of food web and ecosystem models, some of which have been used to establish baselines for assessing the scale of human impacts. The interpretation of results depends on assumed fractionation but, when supported by sensitivity analyses and experimental validation, nitrogen stable isotope data provide valuable insights into the structuring of marine communities and ecosystems. Copyright © 2008 John Wiley & Sons, Ltd.


Publication metadata

Author(s): Jennings S, Barnes C, Sweeting CJ, Polunin NVC

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Rapid Communications in Mass Spectrometry: Stable Isotope Mass Spectrometry Users' Group (SIMSUG) Meeting

Year of Conference: 2008

Pages: 1673-1680

ISSN: 0951-4198

Publisher: John Wiley & Sons Ltd

URL: http://dx.doi.org/10.1002/rcm.3497

DOI: 10.1002/rcm.3497

PubMed id: 18438766

Library holdings: Search Newcastle University Library for this item

ISBN: 10970231


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