Source partitioning using stable isotopes: coping with too much variation.

dc.contributor.author	Parnell, AC
dc.contributor.author	Jackson, AL
dc.contributor.author	Bearhop, Stuart
dc.contributor.author	Inger, Richard
dc.date.accessioned	2013-04-30T14:31:00Z
dc.date.issued	2010
dc.description.abstract	Stable isotope analysis is increasingly being utilised across broad areas of ecology and biology. Key to much of this work is the use of mixing models to estimate the proportion of sources contributing to a mixture such as in diet estimation.	en_GB
dc.identifier.citation	Vol. 5, Issue 3, pp. e9672	en_GB
dc.identifier.doi	10.1371/journal.pone.0009672
dc.identifier.uri	http://hdl.handle.net/10871/8741
dc.language.iso	en	en_GB
dc.publisher	Public Library of Science	en_GB
dc.relation.url	http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0009672	en_GB
dc.subject	Algorithms	en_GB
dc.subject	Bayes Theorem	en_GB
dc.subject	Biology	en_GB
dc.subject	Ecology	en_GB
dc.subject	Environmental Monitoring	en_GB
dc.subject	Isotopes	en_GB
dc.subject	Markov Chains	en_GB
dc.subject	Models, Statistical	en_GB
dc.subject	Models, Theoretical	en_GB
dc.title	Source partitioning using stable isotopes: coping with too much variation.	en_GB
dc.type	Article	en_GB
dc.date.available	2013-04-30T14:31:00Z
dc.identifier.issn	1932-6203
exeter.place-of-publication	United States
dc.description	Final published version of the article deposited in accordance with SHERPA RoMEO guidelines	en_GB
dc.identifier.journal	PLoS One	en_GB