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dc.contributor.authorBarraquand, Frédéric
dc.contributor.authorHusek, Jan
dc.date.accessioned2015-02-26T11:51:51Z
dc.date.available2015-02-26T11:51:51Z
dc.date.issued2014
dc.identifier.citationBarraquand, F., & Husek, J. (2014). Covariation between mean vole density and variability drives the numerical response of storks to vole prey. Population Ecology, 56(3), 551-553. doi: 10.1007/s10144-014-0440-7nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/277809
dc.description.abstractHušek et al. (Popul Ecol 55:363–375, 2013) showed that the numerical response of storks to vole prey was stronger in regions where variability in vole density was higher. This finding is, at first sight, in contradiction with the predictions of life-history theory in stochastic environments. Since the stork productivity-vole density relationship is concave, theory predicts a negative association between the temporal variability in vole density and stork productivity. Here, we illustrate this negative effect of vole variability on stork productivity with a simple mathematical model relating expected stork productivity to vole dynamics. When comparing model simulations to the observed mean density and variability of thirteen Czech and Polish vole populations, we find that the observed positive effect of vole variability on stork numerical response is most likely due to an unusual positive correlation between mean and variability of vole density.nb_NO
dc.language.isoengnb_NO
dc.publisherPopulation Ecologynb_NO
dc.subjectCoefficient of variation (CV)nb_NO
dc.subjectJensen’s inequalitynb_NO
dc.subjectLife historynb_NO
dc.subjectpopulation cyclesnb_NO
dc.subjectTaylor’s lawnb_NO
dc.titleCovariation between mean vole density and variability drives the numerical response of storks to vole preynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.pagenumber551-553nb_NO
dc.source.volume56nb_NO
dc.source.journalPopulation Ecologynb_NO
dc.source.issue3nb_NO
dc.identifier.doi10.1007/s10144-014-0440-7


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