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dc.contributor.authorBaiser, Benjamin H.
dc.contributor.authorBuckley, Hannah L.
dc.contributor.authorGotelli, Nicholas
dc.contributor.authorEllison, Aaron M.
dc.date.accessioned2012-11-08T15:38:11Z
dash.embargo.terms2013-11-12
dc.date.issued2012
dc.identifier.citationBaiser, Benjamin, Hannah L. Buckley, Nicholas J. Gotelli, and Aaron M. Ellison. Forthcoming. Predicting food-web structure with metacommunity models. Oikos 121.en_US
dc.identifier.issn0030-1299en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:9886299
dc.description.abstractThe metacommunity framework explores the relative influence of local and regional-scale processes in generating diversity patterns across the landscape. Metacommunity models and empirical studies have focused mostly on assemblages of competing organisms within a single trophic level. Studies of multi-trophic metacommunities are predominantly restricted to simplified trophic motifs and rarely consider entire food webs. We tested the ability of the patch-dynamics, species-sorting, mass-effects, and neutral metacommunity models, as well as three hybrid models, to reproduce empirical patterns of food web structure and composition in the complex aquatic food web found in the northern pitcher plant, Sarracenia purpurea. We used empirical data to determine regional species pools and estimate dispersal probabilities, simulated local food-web dynamics, dispersed species from regional pools into local food webs at rates based on the assumptions of each metacommunity model, and tested their relative fits to empirical data on food-web structure. The species-sorting and patch-dynamics models most accurately reproduced nine food web properties, suggesting that local-scale interactions were important in structuring Sarracenia food webs. However, differences in dispersal abilities were also important in models that accurately reproduced empirical food web properties. Although the models were tested using pitcher-plant food webs, the approach we have developed can be applied to any well-resolved food web for which data are available from multiple locations.en_US
dc.description.sponsorshipOrganismic and Evolutionary Biologyen_US
dc.language.isoen_USen_US
dc.publisherNordic Ecological Societyen_US
dash.licenseLAA
dc.subjectdisperalen_US
dc.subjectfood weben_US
dc.subjectmetacommunityen_US
dc.subjectpatch dynamicsen_US
dc.subjectpitcher planten_US
dc.subjectSarracenia purpureaen_US
dc.subjectspecies sortingen_US
dc.titlePredicting Food-Web Structure With Metacommunity Modelsen_US
dc.typeJournal Articleen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalOikosen_US
dash.depositing.authorEllison, Aaron M.
dc.date.available2013-11-12T08:30:23Z
dc.identifier.doi10.1111/j.1600-0706.2012.00005.x
dash.contributor.affiliatedEllison, Aaron
dash.contributor.affiliatedBaiser, Benjamin H.


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