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dc.contributor.authorNsor, C. A.en
dc.contributor.authorChapman, H. M.en
dc.contributor.authorGodsoe, Williamen
dc.date.accessioned2017-04-28T02:09:53Z
dc.date.issued2017-01-19en
dc.identifier.citationNsor, C. A., Chapman, H.M., & Godsoe, W. (2017). Does a species’ extinction–proneness predict its contribution to nestedness? A test using a sunbird-tree visitation network. PLoS ONE 12(1): e0170223. doi:10.1371/journal. pone.0170223en
dc.identifier.urihttps://hdl.handle.net/10182/8053
dc.description.abstract© 2017 Nsor et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Animal pollinators and the plants they pollinate depend on networks of mutualistic partnerships and more broadly on the stability of such networks. Based mainly on insect-plant visitation networks, theory predicts that species that are most prone to extinction contribute the most to nestedness, however empirical tests are rare. We used a sunbird-tree visitation network within which were both extinction prone vs non extinction prone sunbird species to test the idea. We predicted that the extinction prone species would contribute the most to nestedness. Using local abundance as a proxy for extinction risk we considered that locally rare sunbird species, by virtue of their small population size and associated demographic stochasticity to be more at risk of extinction than the common species. Our network was not strongly nested and all sunbird species made similar contributions to nestedness, so that in our empirical test, extinction proneness did not predict contribution to nestedness. The consequences of this finding remain unclear. It may be that network theory based on plantinsect mutualisms is not widely applicable and does not work for tree-sunbird mutualistic networks. Alternatively it may be that our network was too small to provide results with any statistical power. Without doubt our study highlights the problems faced when testing network theory in the field; a plethora of ecological considerations can variously impact on results.en
dc.format.extent13en
dc.language.isoenen
dc.publisherPLoS Oneen
dc.relationThe original publication is available from - PLoS One - https://doi.org/10.1371/journal.pone.0170223en
dc.relation.urihttps://doi.org/10.1371/journal.pone.0170223en
dc.rightsCopyright: © 2017 Nsor et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectspecies extinctionen
dc.subjectbird tree visitationen
dc.subjectWest Africaen
dc.subjectnestednessen
dc.subjectGeneral Science & Technologyen
dc.subject.meshAnimalsen
dc.subject.meshPasseriformesen
dc.subject.meshTreesen
dc.subject.meshStochastic Processesen
dc.subject.meshEcosystemen
dc.subject.meshBiodiversityen
dc.subject.meshPopulation Dynamicsen
dc.subject.meshSymbiosisen
dc.subject.meshModels, Biologicalen
dc.subject.meshNigeriaen
dc.subject.meshExtinction, Biologicalen
dc.subject.meshPollinationen
dc.titleDoes a species' extinction-proneness predict its contribution to nestedness? A test using a sunbird-tree visitation networken
dc.typeJournal Article
lu.contributor.unitLincoln Universityen
lu.contributor.unitBio-Protection Research Centreen
dc.identifier.doi10.1371/journal.pone.0170223en
dc.subject.anzsrc050102 Ecosystem Functionen
dc.relation.isPartOfPLoS ONEen
pubs.issue1en
pubs.organisational-group/LU
pubs.organisational-group/LU/BPRC
pubs.organisational-group/LU/Research Management Office
pubs.organisational-group/LU/Research Management Office/QE18
pubs.publication-statusPublisheden
pubs.volume12en
dc.identifier.eissn1932-6203en
dc.rights.licenceAttributionen
dc.rights.licenceAttributionen
lu.identifier.orcid0000-0003-1697-6916


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