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dc.contributor.authorHealy, Kevin
dc.contributor.authorGuillerme, Thomas
dc.contributor.authorKelly, Sean B. A.
dc.contributor.authorInger, Richard
dc.contributor.authorBearhop, Stuart
dc.contributor.authorJackson, Andrew L.
dc.identifier.citationHealy , K , Guillerme , T , Kelly , S B A , Inger , R , Bearhop , S & Jackson , A L 2017 , ' SIDER : an R package for predicting trophic discrimination factors of consumers based on their ecology and phylogenetic relatedness ' , Ecography , vol. Early View .
dc.identifier.otherPURE: 251876097
dc.identifier.otherPURE UUID: 39718c3a-0f27-4d71-8d6c-df17c4937214
dc.identifier.othercrossref: 10.1111/ecog.03371
dc.identifier.otherScopus: 85039149976
dc.identifier.otherORCID: /0000-0002-3548-6253/work/40266966
dc.identifier.otherWOS: 000440287200014
dc.descriptionKH acknowledges support from the Marie Curie Research Grants Scheme, grant [749594] and Science Foundation Ireland awarded to Yvonne Buckley. TG acknowledges support from European Research Council under the European Union’s Seventh Framework Programme (FP/2007–2013)/ERC Grant Agreement number 311092 awarded to Martin D. Brazeau. AJ was funded by a research scholarship administered by the Fulbright Commission of Ireland and in conjunction with the Marine Institute of Ireland. SB & RI are funded by an ERC consolidators grant (STATEMIG: 310820). The data used to fit the regression models, along with the code itself is bundled within the R package and is available on GitHub, with the data also on Figshare Data available from the Dryad Digital Repository: (Healy et al. 2017).en
dc.description.abstractStable isotope mixing models (SIMMs) are an important tool used to study species' trophic ecology. These models are dependent on, and sensitive to, the choice of trophic discrimination factors (TDF) representing the offset in stable isotope delta values between a consumer and their food source when they are at equilibrium. Ideally, controlled feeding trials should be conducted to determine the appropriate TDF for each consumer, tissue type, food source, and isotope combination used in a study. In reality however, this is often not feasible nor practical. In the absence of species-specific information, many researchers either default to an average TDF value for the major taxonomic group of their consumer, or they choose the nearest phylogenetic neighbour for which a TDF is available. Here, we present the SIDER package for R, which uses a phylogenetic regression model based on a compiled dataset to impute (estimate) a TDF of a consumer. We apply information on the tissue type and feeding ecology of the consumer, all of which are known to affect TDFs, using Bayesian inference. Presently, our approach can estimate TDFs for two commonly used isotopes (nitrogen and carbon), for species of mammals and birds with or without previous TDF information. The estimated posterior probability provides both a mean and variance, reflecting the uncertainty of the estimate, and can be subsequently used in the current suite of SIMM software. SIDER allows users to place a greater degree of confidence on their choice of TDF and its associated uncertainty, thereby leading to more robust predictions about trophic relationships in cases where study-specific data from feeding trials is unavailable. The underlying database can be updated readily to incorporate more stable isotope tracers, replicates and taxonomic groups to further increase the confidence in dietary estimates from stable isotope mixing models, as this information becomes available.
dc.rights© 2017 The Authors. Ecography © 2017 Nordic Society Oikos. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at
dc.subjectTrophic Discrimination FactorsTrophic Discen
dc.subjectComparative analysisen
dc.subjectStable isotope analysisen
dc.subjectQH301 Biologyen
dc.titleSIDER : an R package for predicting trophic discrimination factors of consumers based on their ecology and phylogenetic relatednessen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.description.statusPeer revieweden

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