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dc.contributor.authorSmout, Sophie Caroline
dc.contributor.authorAsseburg, C
dc.contributor.authorMatthiopoulos, Jason
dc.contributor.authorFernández, Carmen
dc.contributor.authorRedpath, S
dc.contributor.authorThirgood, S
dc.contributor.authorHarwood, John
dc.date.accessioned2012-11-27T14:43:01Z
dc.date.available2012-11-27T14:43:01Z
dc.date.issued2010-05-27
dc.identifier470953
dc.identifiere6cf5d9f-9551-4032-ad59-50e11fa922e1
dc.identifier000278221900006
dc.identifier77956292866
dc.identifier.citationSmout , S C , Asseburg , C , Matthiopoulos , J , Fernández , C , Redpath , S , Thirgood , S & Harwood , J 2010 , ' The functional response of a generalist predator ' , PLoS ONE , vol. 5 , no. 5 , e10761 . https://doi.org/10.1371/journal.pone.0010761en
dc.identifier.issn1932-6203
dc.identifier.otherstandrews_research_output: 32379
dc.identifier.urihttps://hdl.handle.net/10023/3269
dc.description.abstractBackground: Predators can have profound impacts on the dynamics of their prey that depend on how predator consumption is affected by prey density (the predator's functional response). Consumption by a generalist predator is expected to depend on the densities of all its major prey species (its multispecies functional response, or MSFR), but most studies of generalists have focussed on their functional response to only one prey species. Methodology and principal findings: Using Bayesian methods, we fit an MSFR to field data from an avian predator (the hen harrier Circus cyaneus) feeding on three different prey species. We use a simple graphical approach to show that ignoring the effects of alternative prey can give a misleading impression of the predator's effect on the prey of interest. For example, in our system, a “predator pit” for one prey species only occurs when the availability of other prey species is low. Conclusions and significance: The Bayesian approach is effective in fitting the MSFR model to field data. It allows flexibility in modelling over-dispersion, incorporates additional biological information into the parameter priors, and generates estimates of uncertainty in the model's predictions. These features of robustness and data efficiency make our approach ideal for the study of long-lived predators, for which data may be sparse and management/conservation priorities pressing.
dc.format.extent218527
dc.language.isoeng
dc.relation.ispartofPLoS ONEen
dc.subjectQL Zoologyen
dc.subjectQA Mathematicsen
dc.subject.lccQLen
dc.subject.lccQAen
dc.titleThe functional response of a generalist predatoren
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Sea Mammal Research Uniten
dc.identifier.doi10.1371/journal.pone.0010761
dc.description.statusPeer revieweden
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=77956292866&partnerID=8YFLogxKen


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